PENUTUP PENGARUH DETERMINAN STRUKTUR MODAL TERHADAP LEVERAGE.
BAB V
PENUTUP
5.1.
Kesimpulan
Berdasarkan hasil analisis yang telah dilakukan, kesimpulan penelitian ini
adalah hasil teori leverage yang berbeda akan mengarah hasil yang berbeda. Hasil
penelitian ini sesuai dengan hasil penelitian Haron (2014) yang menunjukkan
bahwa pemakaian teori yang berbeda memberikan hasil yang berbeda termasuk
sinyal yang diberikan. Deesomsak et al. (2004) menemukan bukti empiris bahwa
pengaruh dari determinan leverage adalah berbeda-beda dan inkonsisten.
Pengetahuan bahwa capital structure tidak lengkap dan inkonklusif juga
diutarakan oleh Al-Najjar dan Taylor (2008). Mereka menyatakan bahwa
penjelasan secara tertentu mengenai capital structure masih kurang dan hasil
secara empiris tidak konsisten karena perusahaan tidak menyatakan metode yang
digunakan untuk mengambil kebijakan utang. Triyono (2006) menyatakan bahwa
peristiwa-peristiwa diluar kegiatan ekonomi yang berskala nasional ikut
memberikan reaksi dan pertimbangan dalam keputusan bisnis. Investor harus
menyadari bahwa laporan keuangan hanyalah gambaran sesaat, oleh sebab itu
investor dalam melakukan investasi juga harus mempertimbangkan pada faktorfaktor lain.
73
74
5.2.
Saran
Kelemahan penelitian ini adalah hasilnya tidak konsisten untuk semua
negara, dan karena penelitian ini menggunakan variabel makro ekonomi hasil dari
uji analisis terjadi multikolinearitas. Saran untuk peneliti selanjutnya adalah
peneliti selanjutnya diharapkan menggunakan alat analisis yang lain selain regresi.
Adanya hasil penelitian yang tidak konsisten, selain variabel yang disebutkan
dalam penelitian ini, investor harus memperhatikan variabel-variabel lain yang
spesifik dari masing-masing negara. Triyono (2006) memaparkan bahwa para
pelaku pasar modal sebaiknya memiliki kepekaan terhadap berbagai peristiwa
yang terjadi di negara tersebut sehingga dapat bertindak lebih hati-hati dalam
bertransaksi sehingga tidak mengalami kegagalan.
DAFTAR PUSTAKA
Aggarwal. Raj, NyoNyo A. Kyaw, dan Xinlei Zhao. 2011. Financial Enviroment
and The Value Leverage Relation. Journal of International Business and
Economy. 12 (2)
Al-Najjar, Basil dan Khaled Hussainey. 2011. Revisiting the capital-structure
puzzle: UK evidence. The Journal of Risk Finance. Vol. 12 No. 4
Al-Najjar, Basil dan Peter Taylor. 2008. The relationship between capital structure
and ownership structure. Managerial Finance. Volume 34. Nomor 12.
Bahreini. Vahid, Mehdi Baghbani, dan Rezvan Bahreini. 2013. Analysis between
financial leverage with the stock price and the operational performance of
the accepted companies in Tehran’s stock market. European Online
Journal of Natural and Social Sciences 2013. Vol. 2. No. 3
Bevan, A. and Danbolt, J. 2002. Capital structure and its determinants in the UK:
a decompositional analysis. Applied Financial Economics. Vol. 12 No. 3,
pp. 159-170.
Booth, L., V. Aivazian, A. Demirguc-Kunt, & V. Maksimovic. 2001. Capital
Structure in Developing Countries. Journal of Finance, 56, 87-130.
Bowman, Robert G. 1980. The Importance of a Market-Value Measurement of
Debt in Assessing Leverage. Journal of Accounting Research. Spring
Christianti. 2006. Penentuan Perilaku Kebijakan Struktur Modal pada Perusahaan
Manufaktur di Bursa Efek Jakarta: Hipotesis Static Trade-off atau Pecking
Order Theory. Simposium Nasional Akuntansi 9. Padang
Deesomsak, Rataporn, Krishna Paudyal dan Gioia Pescetto. 2004. The
Determinants of Capital Structure: Evidence from the Asia Pacific Region.
Centre for Empirical Research in Finance. University of Durham.
Ghozali. Imam. 2009. Aplikasi Analisis Multivariate dengan Program SPSS.
Cetakan IV. Badan Penerbit Universitas Diponegoro. Semarang
Goyal, V., K. Lehn, dan S. Raci 2002. Growth Opportunities and Corporate Debt
Policy: The Case of the U.S. Defense Industry. Journal of Financial
Economics, 64, 35-59.
Gujarati, D.N. dan Porter, D.C. 2009. Basic Econometrics. McGraw-Hill. New
York. NY.
Hadianto, Bram. 2008. Pengaruh Struktur Aktiva, Ukuran Perusahaan, dan
Profitabilitas Terhadap Struktur Modal Emiten Sektor Telekomunikasi
Periode 2000 – 2006: Sebuah Pengujian Hipotesis Pecking Order. Jurnal
Manajemen, Volume 7. Nomor 2
Harjanti, Theresia Tri dan Eduardus Tandelilin. 2007. Pengaruh Firm Size,
Tangible Assets, Growth Opportunity, Profitability, dan Business Risk pada
Struktur Modal Perusahaan Manufaktur di Indonesia: Studi Kasus di BEJ,
Jurnal Ekonomi dan Bisnis. Volume 1 Nomor 1
Haron, Razali. 2014. Capital structure inconclusiveness: evidence from Malaysia,
Thailand and Singapore. International Journal of Managerial Finance. Vol.
10 No. 1. Pp. 23-38
Hasan, H. Mudrika Alamsyah. 2006. Analisis Faktor-Faktor yang Mempengaruhi
Struktur Modal (Studi pada Perusahaan yang Terdaftar di Bursa Efek
Jakarta). Jurnal Tepak Manajerial Magister Manajemen UNRI. Volume 6.
Nomor 6.
Husnan, Suad. 2010. Manajemen Keuangan Teori dan Penerapan (Keputusan
Jangka Pendek). Buku Pertama. BPFE. Yogyakarta.
Ismiyanti, Fitri dan Mamduh H. Hanafi. 2003. Kepemilikan Manajerial,
Kepemilikan Institusional, Risiko, Kebijakan Utang dan Kebijakan Dividen:
Analisis Persamaan Simultan. Simposium Nasional Akuntansi VI. Surabaya
Kesuma, Ali. 2009. Analisis Faktor yang Mempengaruhi Struktur Modal Serta
Pengaruhnya Terhadap Harga Saham Perusahaan Real Estate yang Go
Public di Bursa Efek Indonesia. Jurnal Manajemen dan Kewirausahaan.
Volume 11. Nomor 1.
Khoir. Vasta Biqul, Siti Ragil Handayani dan Zahroh Z.A. 2013. Pengaruh
Earnings Per Share, Return on Assets, Net Profit Margin, Debt to Total
Assets Ratio dan Long term Debt to Equity Ratio Terhadap Harga Saham
(Studi pada Perusahaan Subsektor Perdagangan yang Terdaftar di Bursa
Efek Indonesia Periode 2010 – 2012). Jurnal Administrasi Bisnis. Volume
5. Nomor 1
Kirch. Guilherme, Cesario Mateus, Paulo Terra. 2012. Country Governance
Structure and Financial Development as Determinants of Firms’ Capital
Structure. Journal of Money, Investment and Banking. 26 (2012)
Koksal. Bulent dan Cuney Orman. 2014. Determinants of Capital Structure:
Evidence from a Major Developing Economy. Working Paper. No. 14/26
Munawir, S. 2004. Analisa Laporan Keuangan. Edisi Keempat. Cetakan Ketiga
belas. Penerbit Liberty. Yogyakarta
Murhadi, Werner Ria. 2011. Determinan Struktur Modal: Studi di Asia Tenggara.
Jurnal Manajemen dan Kewirausahaan. Volume 13. Nomor 2
Myers, S.C. 2001. Capital structures. Journal of Economic Perspectives. Vol. 15
No. 2 pp. 81-102.
Rajan, G.R. dan L. Zingales. 1995. What Do We Know About Capital Structure?
Some Evidence From International Data. Journal of Finance, 50:1422 –
1460
Ross, Westerfield dan Jordan. 2009. Pengantar Keuangan Perusahaan Corporate
Finance Fundamentals. Buku 2. Edisi 8
Sari. Dessy Handa, Atim Djazuli dan Siti Aisjah. 2013. Determinan Struktur
Modal dan Dampaknya terhadap Nilai Perusahaan (Studi pada Perusahaan
Makanan dan Minuman di Bursa Efek Indonesia). Jurnal Aplikasi
Manajemen. Volume 11. Nomor 1.
Seftianne dan Ratih Handayani. 2011. Faktor-Faktor yang Mempengaruhi
Struktur Modal pada Perusahaan Publik Sektor Manufaktur. Jurnal Bisnis
dan Akuntansi. Volume 13. Nomor 1. Halaman 39 – 56
Soejoko dan Soebiantoro. 2007. Pengaruh Struktur Kepemilikan Saham,
Leverage, Faktor Intern Dan Faktor Ekstern Terhadap Nilai Perusahaan
(Studi empirik pada perusahaan manufaktur dan non manufaktur di Bursa
Efek Jakarta). Jurnal Ekonomi Manajemen. Volume 9. Nomor 1
Sugiyono. 2009. Metode Penelitian Bisnis. Cetakan Keempatbelas. Bandung:
Penerbit Alfabeta
Sunarsih. 2004. Analisis Simultanitas Kebijakan Hutang dan Kebijakan Maturitas
Hutang serta Faktor-Faktor yang Mempengaruhinya. Jurnal Siasat Bisnis.
Volume 1. Nomor 9.
Supriyanto, Eko dan Falikhatun. 2008. Pengaruh Tangibility, Pertumbuhan
Penjualan dan Ukuran Perusahaan Terhadap Struktur Keuangan. Jurnal
Bisnis dan Akuntansi. Volume 10. Nomor 1. Halaman 13 – 22.
Titman, S. dan Wessels, R. 1988. The Determinant of Capital Structure Choice.
Journal of Finance. Vol. 43. No. 1.
Triyono. 2006. Rekonstruksi dalam Rangka Menghadapi Perubahan Peristiwa
Politik. Value Added. Volume 2. Nomor 2.
Widjaja, Indra dan Faris Kasenda. 2008. Pengaruh Kepemilikan Institusional,
Aktiva Berwujud, Ukuran Perusahaan dan Profitabilitas Terhadap Struktur
Modal pada Perusahaan dalam Industri Barang Konsumsi di BEI. Jurnal
Manajemen. Tahun XII. Nomor 2
Wimelda, Linda dan Aan Marlinah. 2012. Variabel-Variabel yang Mempengaruhi
Struktur Modal pada Perusahaan Publik Sektor Non Keuangan. Media
Bisnis. Edisi Khusus November.
Yusriyanti, Hasni. 2013. Pengaruh Tingkat Profitabilitas, Struktur Asset, dan
Growth Opportunity Terhadap Struktur Modal Pada Perusahaan
Manufaktur yang Telah Go Public Di Bursa Efek Indonesia. Laporan
Penelitian Dana Fakultas Ekonomi Unsri
LAMPIRAN
Uji Normalitas (Semua Negara)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
480
.0000000
.29264456
.123
.123
-.107
2.699
.000
Unstandardize
d Residual
480
.0000000
.23348339
.159
.150
-.159
3.484
.000
Unstandardize
d Residual
480
.0000000
.14081680
.138
.138
-.101
3.034
.000
Unstandardize
d Residual
480
.0000000
.13595653
.113
.113
-.084
2.481
.000
Unstandardize
d Residual
480
.0000000
.09291627
.150
.150
-.124
3.296
.000
Unstandardize
d Residual
480
.0000000
.08183754
.119
.119
-.080
2.610
.000
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: DTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: LDTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: SDTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: TDTDE
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: LDTDE
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: SDTDE
Model
1
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: DTA
10
5
0
-5
-2.5
0.0
2.5
5.0
Regression Standardized Predicted Value
7.5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: LDTA
Regression Studentized Residual
15
10
5
0
-5
-2.5
0.0
2.5
5.0
Regression Standardized Predicted Value
7.5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: SDTA
5.0
2.5
0.0
-2.5
-5.0
-15
-10
-5
0
Regression Standardized Predicted Value
5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: TDTDE
Regression Studentized Residual
6
4
2
0
-2
-4
-4
-2
0
2
Regression Standardized Predicted Value
4
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: LDTDE
5.0
2.5
0.0
-2.5
-5.0
-4
-2
0
2
Regression Standardized Predicted Value
4
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: SDTDE
Regression Studentized Residual
4
2
0
-2
-4
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.302a
.091
.068
.29638
1.943
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: DTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
4.127
12
.344
3.916
.000a
Residual
41.022
467
.088
Total
45.149
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.179
.334
NDTS
.383
.109
TANG
.070
.051
PROFIT
.000
.003
RISIKO
6.44E-006
.001
UP
.002
.003
GO
-.194
.282
LIKUIDITAS
-.001
.001
KHS
-.117
.111
SMD
.034
.014
EG
.022
.091
IR
-.031
.006
CG
.002
.001
a. Dependent Variable: DTA
Standardized
Coefficients
Beta
.187
.068
-.003
.000
.026
-.034
-.046
-.100
.117
.022
-.279
.068
t
-.538
3.498
1.384
-.065
.008
.537
-.688
-1.045
-1.051
2.483
.244
-5.008
1.512
Sig.
.591
.001
.167
.948
.993
.592
.492
.296
.294
.013
.807
.000
.131
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.291a
.085
.061
.23646
1.961
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: LDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.411
12
.201
3.593
.000a
Residual
26.112
467
.056
Total
28.523
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.739
.266
NDTS
.199
.087
TANG
.112
.041
PROFIT
.001
.003
RISIKO
.000
.001
UP
.006
.003
GO
-.114
.225
LIKUIDITAS
.000
.001
KHS
-.075
.089
SMD
.035
.011
EG
.039
.073
IR
-.019
.005
CG
-.001
.001
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.122
.135
.024
.026
.113
-.025
-.013
-.080
.153
.049
-.217
-.031
t
-2.778
2.276
2.754
.540
.593
2.319
-.508
-.281
-.845
3.241
.539
-3.891
-.688
Sig.
.006
.023
.006
.589
.553
.021
.611
.779
.398
.001
.590
.000
.492
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.277a
.077
.053
.14261
1.726
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: SDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.787
12
.066
3.226
.000a
Residual
9.498
467
.020
Total
10.286
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.405
.161
NDTS
.040
.053
TANG
-.052
.024
PROFIT
.000
.002
RISIKO
-7.95E-005
.000
UP
-.003
.002
GO
-.070
.135
LIKUIDITAS
-.002
.000
KHS
-.053
.054
SMD
-.005
.006
EG
.062
.044
IR
.004
.003
CG
.001
.000
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.041
-.104
-.011
-.010
-.102
-.026
-.214
-.094
-.038
.128
.082
.067
t
2.522
.764
-2.115
-.236
-.216
-2.079
-.515
-4.776
-.984
-.798
1.399
1.458
1.480
Sig.
.012
.445
.035
.813
.829
.038
.607
.000
.326
.425
.163
.145
.140
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.901a
.812
.807
.13769
1.868
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: TDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
38.274
12
3.190
168.231
.000a
Residual
8.854
467
.019
Total
47.128
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.909
.155
NDTS
.129
.051
TANG
-.060
.024
PROFIT
.003
.002
RISIKO
-7.08E-005
.000
UP
.061
.002
GO
.000
.131
LIKUIDITAS
.000
.000
KHS
-.004
.052
SMD
-.024
.006
EG
-.011
.043
IR
.016
.003
CG
-.001
.000
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.061
-.056
.042
-.004
.846
.000
.008
-.003
-.082
-.011
.143
-.034
t
-5.866
2.529
-2.537
2.069
-.199
38.313
.002
.392
-.071
-3.846
-.256
5.641
-1.643
Sig.
.000
.012
.012
.039
.842
.000
.998
.695
.944
.000
.798
.000
.101
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.800a
.640
.631
.09410
2.026
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: LDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
7.355
12
.613
69.211
.000a
Residual
4.135
467
.009
Total
11.490
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.493
.106
NDTS
.071
.035
TANG
-.031
.016
PROFIT
.001
.001
RISIKO
-1.47E-005
.000
UP
.028
.001
GO
.007
.089
LIKUIDITAS
9.85E-005
.000
KHS
.008
.035
SMD
-.007
.004
EG
-.008
.029
IR
.001
.002
CG
-.001
.000
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.069
-.058
.036
-.002
.800
.002
.010
.014
-.048
-.015
.016
-.067
t
-4.652
2.047
-1.900
1.281
-.061
26.175
.074
.358
.239
-1.629
-.262
.444
-2.370
Sig.
.000
.041
.058
.201
.952
.000
.941
.721
.811
.104
.793
.657
.018
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.825a
.681
.673
.08288
1.501
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: SDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.859
12
.572
83.201
.000a
Residual
3.208
467
.007
Total
10.067
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.244
.093
NDTS
.024
.031
TANG
-.028
.014
PROFIT
.001
.001
RISIKO
1.37E-006
.000
UP
.020
.001
GO
.048
.079
LIKUIDITAS
.000
.000
KHS
-.007
.031
SMD
-.014
.004
EG
-.009
.026
IR
.022
.002
CG
.000
.000
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.025
-.056
.037
.000
.595
.018
-.020
-.012
-.102
-.019
.416
-.042
t
-2.619
.790
-1.942
1.387
.006
20.700
.609
-.759
-.214
-3.643
-.361
12.623
-1.574
Sig.
.009
.430
.053
.166
.995
.000
.543
.448
.830
.000
.718
.000
.116
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.302a
.091
.068
.29638
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
4.127
12
.344
3.916
.000a
Residual
41.022
467
.088
Total
45.149
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.179
.334
NDTS
.383
.109
TANG
.070
.051
PROFIT
.000
.003
RISIKO
6.44E-006
.001
UP
.002
.003
GO
-.194
.282
LIKUIDITAS
-.001
.001
KHS
-.117
.111
SMD
.034
.014
EG
.022
.091
IR
-.031
.006
CG
.002
.001
a. Dependent Variable: DTA
Standardized
Coefficients
Beta
.187
.068
-.003
.000
.026
-.034
-.046
-.100
.117
.022
-.279
.068
t
-.538
3.498
1.384
-.065
.008
.537
-.688
-1.045
-1.051
2.483
.244
-5.008
1.512
Sig.
.591
.001
.167
.948
.993
.592
.492
.296
.294
.013
.807
.000
.131
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.291a
.085
.061
.23646
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.411
12
.201
3.593
.000a
Residual
26.112
467
.056
Total
28.523
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.739
.266
NDTS
.199
.087
TANG
.112
.041
PROFIT
.001
.003
RISIKO
.000
.001
UP
.006
.003
GO
-.114
.225
LIKUIDITAS
.000
.001
KHS
-.075
.089
SMD
.035
.011
EG
.039
.073
IR
-.019
.005
CG
-.001
.001
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.122
.135
.024
.026
.113
-.025
-.013
-.080
.153
.049
-.217
-.031
t
-2.778
2.276
2.754
.540
.593
2.319
-.508
-.281
-.845
3.241
.539
-3.891
-.688
Sig.
.006
.023
.006
.589
.553
.021
.611
.779
.398
.001
.590
.000
.492
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.277a
.077
.053
.14261
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.787
12
.066
3.226
.000a
Residual
9.498
467
.020
Total
10.286
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.405
.161
NDTS
.040
.053
TANG
-.052
.024
PROFIT
.000
.002
RISIKO
-7.95E-005
.000
UP
-.003
.002
GO
-.070
.135
LIKUIDITAS
-.002
.000
KHS
-.053
.054
SMD
-.005
.006
EG
.062
.044
IR
.004
.003
CG
.001
.000
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.041
-.104
-.011
-.010
-.102
-.026
-.214
-.094
-.038
.128
.082
.067
t
2.522
.764
-2.115
-.236
-.216
-2.079
-.515
-4.776
-.984
-.798
1.399
1.458
1.480
Sig.
.012
.445
.035
.813
.829
.038
.607
.000
.326
.425
.163
.145
.140
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.901a
.812
.807
.13769
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
38.274
12
3.190
168.231
.000a
Residual
8.854
467
.019
Total
47.128
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.909
.155
NDTS
.129
.051
TANG
-.060
.024
PROFIT
.003
.002
RISIKO
-7.08E-005
.000
UP
.061
.002
GO
.000
.131
LIKUIDITAS
.000
.000
KHS
-.004
.052
SMD
-.024
.006
EG
-.011
.043
IR
.016
.003
CG
-.001
.000
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.061
-.056
.042
-.004
.846
.000
.008
-.003
-.082
-.011
.143
-.034
t
-5.866
2.529
-2.537
2.069
-.199
38.313
.002
.392
-.071
-3.846
-.256
5.641
-1.643
Sig.
.000
.012
.012
.039
.842
.000
.998
.695
.944
.000
.798
.000
.101
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.800a
.640
.631
.09410
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
7.355
12
.613
69.211
.000a
Residual
4.135
467
.009
Total
11.490
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.493
.106
NDTS
.071
.035
TANG
-.031
.016
PROFIT
.001
.001
RISIKO
-1.47E-005
.000
UP
.028
.001
GO
.007
.089
LIKUIDITAS
9.85E-005
.000
KHS
.008
.035
SMD
-.007
.004
EG
-.008
.029
IR
.001
.002
CG
-.001
.000
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.069
-.058
.036
-.002
.800
.002
.010
.014
-.048
-.015
.016
-.067
t
-4.652
2.047
-1.900
1.281
-.061
26.175
.074
.358
.239
-1.629
-.262
.444
-2.370
Sig.
.000
.041
.058
.201
.952
.000
.941
.721
.811
.104
.793
.657
.018
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.825a
.681
.673
.08288
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.859
12
.572
83.201
.000a
Residual
3.208
467
.007
Total
10.067
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.244
.093
NDTS
.024
.031
TANG
-.028
.014
PROFIT
.001
.001
RISIKO
1.37E-006
.000
UP
.020
.001
GO
.048
.079
LIKUIDITAS
.000
.000
KHS
-.007
.031
SMD
-.014
.004
EG
-.009
.026
IR
.022
.002
CG
.000
.000
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.025
-.056
.037
.000
.595
.018
-.020
-.012
-.102
-.019
.416
-.042
t
-2.619
.790
-1.942
1.387
.006
20.700
.609
-.759
-.214
-3.643
-.361
12.623
-1.574
Sig.
.009
.430
.053
.166
.995
.000
.543
.448
.830
.000
.718
.000
.116
Uji Normalitas (Indonesia)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
85
.0000000
.14392728
.093
.072
-.093
.857
.454
Unstandardize
d Residual
85
.0000000
.09419288
.124
.124
-.071
1.147
.144
Unstandardize
d Residual
85
.0000000
.08215470
.079
.079
-.046
.729
.662
Unstandardize
d Residual
85
.0000000
.13469012
.109
.063
-.109
1.005
.265
Unstandardize
d Residual
85
.0000000
.11116265
.056
.056
-.045
.514
.954
Unstandardize
d Residual
85
.0000000
.09692249
.087
.087
-.044
.798
.548
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: DTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: LDTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: SDTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: TDTDE
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: LDTDE
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: SDTDE
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: DTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: LDTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: SDTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: TDTDE
Regression Studentized Residual
2
1
0
-1
-2
-3
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: LDTDE
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: SDTDE
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.578a
.334
.243
.15394
2.402
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: DTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.878
10
.088
3.703
.000a
Residual
1.754
74
.024
Total
2.631
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Model
1
(Constant)
NDTS
TANG
PROFIT
RISIKO
UP
GO
LIKUIDITAS
KHS
SMD
CG
a. Dependent Variable: DTA
Unstandardized
Coefficients
B
Std. Error
-1.380
.476
.210
.083
-.031
.055
-.055
.128
.023
.020
.003
.006
.318
.662
-.036
.012
-.008
.067
.069
.020
-.158
.772
Standardized
Coefficients
Beta
.363
-.075
-.045
.121
.058
.056
-.321
-.014
.410
-.025
t
-2.903
2.516
-.566
-.427
1.145
.500
.480
-2.970
-.113
3.415
-.204
Sig.
.005
.014
.573
.671
.256
.618
.633
.004
.911
.001
.839
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.640a
.410
.330
.10124
2.356
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: LDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.527
10
.053
5.142
.000a
Residual
.759
74
.010
Total
1.286
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.872
.313
NDTS
.059
.055
TANG
-.019
.036
PROFIT
-.314
.084
RISIKO
.032
.013
UP
-.002
.004
GO
-.099
.435
LIKUIDITAS
-.008
.008
KHS
-.004
.044
SMD
.045
.013
CG
.205
.508
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.145
-.067
-.371
.244
-.049
-.025
-.097
-.010
.381
.046
t
-2.788
1.071
-.539
-3.729
2.452
-.443
-.226
-.955
-.083
3.373
.405
Sig.
.007
.288
.591
.000
.017
.659
.821
.343
.934
.001
.687
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.669a
.448
.373
.08756
1.779
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: SDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.460
10
.046
5.998
.000a
Residual
.567
74
.008
Total
1.027
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.232
.270
NDTS
.019
.047
TANG
-.011
.031
PROFIT
.379
.073
RISIKO
-.017
.011
UP
.004
.003
GO
.276
.377
LIKUIDITAS
-.035
.007
KHS
.007
.038
SMD
.013
.012
CG
.183
.439
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.052
-.042
.501
-.149
.126
.078
-.508
.020
.122
.046
t
-.859
.398
-.349
5.203
-1.546
1.181
.734
-5.154
.181
1.118
.417
Sig.
.393
.692
.728
.000
.126
.241
.466
.000
.857
.267
.678
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.897a
.805
.778
.14405
1.892
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: TDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.321
10
.632
30.463
.000a
Residual
1.535
74
.021
Total
7.856
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.494
.445
NDTS
.277
.078
TANG
-.053
.051
PROFIT
-.174
.120
RISIKO
.015
.018
UP
.080
.005
GO
.518
.620
LIKUIDITAS
-.031
.011
KHS
.093
.063
SMD
-.091
.019
CG
1.018
.722
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.278
-.074
-.083
.046
.972
.053
-.162
.098
-.312
.092
t
1.109
3.556
-1.041
-1.449
.796
15.371
.836
-2.759
1.472
-4.807
1.409
Sig.
.271
.001
.301
.152
.429
.000
.406
.007
.145
.000
.163
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.696a
.485
.415
.12054
2.213
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: LDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
1.011
10
.101
6.957
.000a
Residual
1.075
74
.015
Total
2.086
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.110
.372
NDTS
.074
.065
TANG
-.014
.043
PROFIT
-.298
.100
RISIKO
.036
.015
UP
.025
.004
GO
.064
.519
LIKUIDITAS
-.009
.009
KHS
.020
.053
SMD
-.025
.016
CG
.683
.604
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.144
-.039
-.277
.218
.599
.013
-.091
.041
-.163
.120
t
.295
1.134
-.335
-2.971
2.342
5.830
.123
-.960
.379
-1.547
1.130
Sig.
.769
.260
.739
.004
.022
.000
.903
.340
.706
.126
.262
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.866a
.751
.717
.10407
2.066
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: SDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.415
10
.241
22.296
.000a
Residual
.801
74
.011
Total
3.216
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.402
.321
NDTS
.168
.056
TANG
-.017
.037
PROFIT
.281
.087
RISIKO
-.032
.013
UP
.051
.004
GO
.447
.448
LIKUIDITAS
-.022
.008
KHS
.083
.045
SMD
-.068
.014
CG
1.007
.522
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.263
-.038
.210
-.156
.980
.071
-.176
.136
-.362
.143
t
1.251
2.988
-.466
3.241
-2.414
13.725
.999
-2.663
1.817
-4.930
1.931
Sig.
.215
.004
.642
.002
.018
.000
.321
.010
.073
.000
.057
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.578a
.334
.243
.15394
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.878
10
.088
3.703
.000a
Residual
1.754
74
.024
Total
2.631
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Model
1
(Constant)
NDTS
TANG
PROFIT
RISIKO
UP
GO
LIKUIDITAS
KHS
SMD
CG
a. Dependent Variable: DTA
Unstandardized
Coefficients
B
Std. Error
-1.380
.476
.210
.083
-.031
.055
-.055
.128
.023
.020
.003
.006
.318
.662
-.036
.012
-.008
.067
.069
.020
-.158
.772
Standardized
Coefficients
Beta
.363
-.075
-.045
.121
.058
.056
-.321
-.014
.410
-.025
t
-2.903
2.516
-.566
-.427
1.145
.500
.480
-2.970
-.113
3.415
-.204
Sig.
.005
.014
.573
.671
.256
.618
.633
.004
.911
.001
.839
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.640a
.410
.330
.10124
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.527
10
.053
5.142
.000a
Residual
.759
74
.010
Total
1.286
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.872
.313
NDTS
.059
.055
TANG
-.019
.036
PROFIT
-.314
.084
RISIKO
.032
.013
UP
-.002
.004
GO
-.099
.435
LIKUIDITAS
-.008
.008
KHS
-.004
.044
SMD
.045
.013
CG
.205
.508
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.145
-.067
-.371
.244
-.049
-.025
-.097
-.010
.381
.046
t
-2.788
1.071
-.539
-3.729
2.452
-.443
-.226
-.955
-.083
3.373
.405
Sig.
.007
.288
.591
.000
.017
.659
.821
.343
.934
.001
.687
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.669a
.448
.373
.08756
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.460
10
.046
5.998
.000a
Residual
.567
74
.008
Total
1.027
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.232
.270
NDTS
.019
.047
TANG
-.011
.031
PROFIT
.379
.073
RISIKO
-.017
.011
UP
.004
.003
GO
.276
.377
LIKUIDITAS
-.035
.007
KHS
.007
.038
SMD
.013
.012
CG
.183
.439
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.052
-.042
.501
-.149
.126
.078
-.508
.020
.122
.046
t
-.859
.398
-.349
5.203
-1.546
1.181
.734
-5.154
.181
1.118
.417
Sig.
.393
.692
.728
.000
.126
.241
.466
.000
.857
.267
.678
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.897a
.805
.778
.14405
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.321
10
.632
30.463
.000a
Residual
1.535
74
.021
Total
7.856
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.494
.445
NDTS
.277
.078
TANG
-.053
.051
PROFIT
-.174
.120
RISIKO
.015
.018
UP
.080
.005
GO
.518
.620
LIKUIDITAS
-.031
.011
KHS
.093
.063
SMD
-.091
.019
CG
1.018
.722
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.278
-.074
-.083
.046
.972
.053
-.162
.098
-.312
.092
t
1.109
3.556
-1.041
-1.449
.796
15.371
.836
-2.759
1.472
-4.807
1.409
Sig.
.271
.001
.301
.152
.429
.000
.406
.007
.145
.000
.163
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.696a
.485
.415
.12054
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
1.011
10
.101
6.957
.000a
Residual
1.075
74
.015
Total
2.086
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.110
.372
NDTS
.074
.065
TANG
-.014
.043
PROFIT
-.298
.100
RISIKO
.036
.015
UP
.025
.004
GO
.064
.519
LIKUIDITAS
-.009
.009
KHS
.020
.053
SMD
-.025
.016
CG
.683
.604
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.144
-.039
-.277
.218
.599
.013
-.091
.041
-.163
.120
t
.295
1.134
-.335
-2.971
2.342
5.830
.123
-.960
.379
-1.547
1.130
Sig.
.769
.260
.739
.004
.022
.000
.903
.340
.706
.126
.262
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.866a
.751
.717
.10407
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.415
10
.241
22.296
.000a
Residual
.801
74
.011
Total
3.216
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.402
.321
NDTS
.168
.056
TANG
-.017
.037
PROFIT
.281
.087
RISIKO
-.032
.013
UP
.051
.004
GO
.447
.448
LIKUIDITAS
-.022
.008
KHS
.083
.045
SMD
-.068
.014
CG
1.007
.522
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.263
-.038
.210
-.156
.980
.071
-.176
.136
-.362
.143
t
1.251
2.988
-.466
3.241
-2.414
13.725
.999
-2.663
1.817
-4.930
1.931
Sig.
.215
.004
.642
.002
.018
.000
.321
.010
.073
.000
.057
Uji Normalitas (Filipina)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
75
.0000000
.15235714
.109
.109
-.079
.944
.335
Unstandardize
d Residual
75
.0000000
.11133413
.070
.060
-.070
.606
.856
Unstandardize
d Residual
75
.0000000
.07722038
.105
.105
-.076
.906
.385
Unstandardize
d Residual
75
.0000000
.14051083
.201
.201
-.086
1.741
.005
Unstandardize
d Residual
75
.0000000
.06845900
.208
.208
-.091
1.804
.003
Unstandardize
d Residual
75
.0000000
.04954054
.181
.181
-.117
1.568
.015
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, UP,
RISIKO,
NDTS,
SMD, GO,
.
PROFIT,
TANG,
LIKUIDITA
a
S, KHS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.751
1.332
TANG
.785
1.273
PROFIT
.871
1.148
RISIKO
.945
1.058
UP
.796
1.256
GO
.499
2.002
LIKUIDITAS
.685
1.461
KHS
.226
4.430
SMD
.907
1.103
CG
.309
3.231
a. Dependent Variable: DTA
Model
1
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, UP,
RISIKO,
NDTS,
SMD,
PENUTUP
5.1.
Kesimpulan
Berdasarkan hasil analisis yang telah dilakukan, kesimpulan penelitian ini
adalah hasil teori leverage yang berbeda akan mengarah hasil yang berbeda. Hasil
penelitian ini sesuai dengan hasil penelitian Haron (2014) yang menunjukkan
bahwa pemakaian teori yang berbeda memberikan hasil yang berbeda termasuk
sinyal yang diberikan. Deesomsak et al. (2004) menemukan bukti empiris bahwa
pengaruh dari determinan leverage adalah berbeda-beda dan inkonsisten.
Pengetahuan bahwa capital structure tidak lengkap dan inkonklusif juga
diutarakan oleh Al-Najjar dan Taylor (2008). Mereka menyatakan bahwa
penjelasan secara tertentu mengenai capital structure masih kurang dan hasil
secara empiris tidak konsisten karena perusahaan tidak menyatakan metode yang
digunakan untuk mengambil kebijakan utang. Triyono (2006) menyatakan bahwa
peristiwa-peristiwa diluar kegiatan ekonomi yang berskala nasional ikut
memberikan reaksi dan pertimbangan dalam keputusan bisnis. Investor harus
menyadari bahwa laporan keuangan hanyalah gambaran sesaat, oleh sebab itu
investor dalam melakukan investasi juga harus mempertimbangkan pada faktorfaktor lain.
73
74
5.2.
Saran
Kelemahan penelitian ini adalah hasilnya tidak konsisten untuk semua
negara, dan karena penelitian ini menggunakan variabel makro ekonomi hasil dari
uji analisis terjadi multikolinearitas. Saran untuk peneliti selanjutnya adalah
peneliti selanjutnya diharapkan menggunakan alat analisis yang lain selain regresi.
Adanya hasil penelitian yang tidak konsisten, selain variabel yang disebutkan
dalam penelitian ini, investor harus memperhatikan variabel-variabel lain yang
spesifik dari masing-masing negara. Triyono (2006) memaparkan bahwa para
pelaku pasar modal sebaiknya memiliki kepekaan terhadap berbagai peristiwa
yang terjadi di negara tersebut sehingga dapat bertindak lebih hati-hati dalam
bertransaksi sehingga tidak mengalami kegagalan.
DAFTAR PUSTAKA
Aggarwal. Raj, NyoNyo A. Kyaw, dan Xinlei Zhao. 2011. Financial Enviroment
and The Value Leverage Relation. Journal of International Business and
Economy. 12 (2)
Al-Najjar, Basil dan Khaled Hussainey. 2011. Revisiting the capital-structure
puzzle: UK evidence. The Journal of Risk Finance. Vol. 12 No. 4
Al-Najjar, Basil dan Peter Taylor. 2008. The relationship between capital structure
and ownership structure. Managerial Finance. Volume 34. Nomor 12.
Bahreini. Vahid, Mehdi Baghbani, dan Rezvan Bahreini. 2013. Analysis between
financial leverage with the stock price and the operational performance of
the accepted companies in Tehran’s stock market. European Online
Journal of Natural and Social Sciences 2013. Vol. 2. No. 3
Bevan, A. and Danbolt, J. 2002. Capital structure and its determinants in the UK:
a decompositional analysis. Applied Financial Economics. Vol. 12 No. 3,
pp. 159-170.
Booth, L., V. Aivazian, A. Demirguc-Kunt, & V. Maksimovic. 2001. Capital
Structure in Developing Countries. Journal of Finance, 56, 87-130.
Bowman, Robert G. 1980. The Importance of a Market-Value Measurement of
Debt in Assessing Leverage. Journal of Accounting Research. Spring
Christianti. 2006. Penentuan Perilaku Kebijakan Struktur Modal pada Perusahaan
Manufaktur di Bursa Efek Jakarta: Hipotesis Static Trade-off atau Pecking
Order Theory. Simposium Nasional Akuntansi 9. Padang
Deesomsak, Rataporn, Krishna Paudyal dan Gioia Pescetto. 2004. The
Determinants of Capital Structure: Evidence from the Asia Pacific Region.
Centre for Empirical Research in Finance. University of Durham.
Ghozali. Imam. 2009. Aplikasi Analisis Multivariate dengan Program SPSS.
Cetakan IV. Badan Penerbit Universitas Diponegoro. Semarang
Goyal, V., K. Lehn, dan S. Raci 2002. Growth Opportunities and Corporate Debt
Policy: The Case of the U.S. Defense Industry. Journal of Financial
Economics, 64, 35-59.
Gujarati, D.N. dan Porter, D.C. 2009. Basic Econometrics. McGraw-Hill. New
York. NY.
Hadianto, Bram. 2008. Pengaruh Struktur Aktiva, Ukuran Perusahaan, dan
Profitabilitas Terhadap Struktur Modal Emiten Sektor Telekomunikasi
Periode 2000 – 2006: Sebuah Pengujian Hipotesis Pecking Order. Jurnal
Manajemen, Volume 7. Nomor 2
Harjanti, Theresia Tri dan Eduardus Tandelilin. 2007. Pengaruh Firm Size,
Tangible Assets, Growth Opportunity, Profitability, dan Business Risk pada
Struktur Modal Perusahaan Manufaktur di Indonesia: Studi Kasus di BEJ,
Jurnal Ekonomi dan Bisnis. Volume 1 Nomor 1
Haron, Razali. 2014. Capital structure inconclusiveness: evidence from Malaysia,
Thailand and Singapore. International Journal of Managerial Finance. Vol.
10 No. 1. Pp. 23-38
Hasan, H. Mudrika Alamsyah. 2006. Analisis Faktor-Faktor yang Mempengaruhi
Struktur Modal (Studi pada Perusahaan yang Terdaftar di Bursa Efek
Jakarta). Jurnal Tepak Manajerial Magister Manajemen UNRI. Volume 6.
Nomor 6.
Husnan, Suad. 2010. Manajemen Keuangan Teori dan Penerapan (Keputusan
Jangka Pendek). Buku Pertama. BPFE. Yogyakarta.
Ismiyanti, Fitri dan Mamduh H. Hanafi. 2003. Kepemilikan Manajerial,
Kepemilikan Institusional, Risiko, Kebijakan Utang dan Kebijakan Dividen:
Analisis Persamaan Simultan. Simposium Nasional Akuntansi VI. Surabaya
Kesuma, Ali. 2009. Analisis Faktor yang Mempengaruhi Struktur Modal Serta
Pengaruhnya Terhadap Harga Saham Perusahaan Real Estate yang Go
Public di Bursa Efek Indonesia. Jurnal Manajemen dan Kewirausahaan.
Volume 11. Nomor 1.
Khoir. Vasta Biqul, Siti Ragil Handayani dan Zahroh Z.A. 2013. Pengaruh
Earnings Per Share, Return on Assets, Net Profit Margin, Debt to Total
Assets Ratio dan Long term Debt to Equity Ratio Terhadap Harga Saham
(Studi pada Perusahaan Subsektor Perdagangan yang Terdaftar di Bursa
Efek Indonesia Periode 2010 – 2012). Jurnal Administrasi Bisnis. Volume
5. Nomor 1
Kirch. Guilherme, Cesario Mateus, Paulo Terra. 2012. Country Governance
Structure and Financial Development as Determinants of Firms’ Capital
Structure. Journal of Money, Investment and Banking. 26 (2012)
Koksal. Bulent dan Cuney Orman. 2014. Determinants of Capital Structure:
Evidence from a Major Developing Economy. Working Paper. No. 14/26
Munawir, S. 2004. Analisa Laporan Keuangan. Edisi Keempat. Cetakan Ketiga
belas. Penerbit Liberty. Yogyakarta
Murhadi, Werner Ria. 2011. Determinan Struktur Modal: Studi di Asia Tenggara.
Jurnal Manajemen dan Kewirausahaan. Volume 13. Nomor 2
Myers, S.C. 2001. Capital structures. Journal of Economic Perspectives. Vol. 15
No. 2 pp. 81-102.
Rajan, G.R. dan L. Zingales. 1995. What Do We Know About Capital Structure?
Some Evidence From International Data. Journal of Finance, 50:1422 –
1460
Ross, Westerfield dan Jordan. 2009. Pengantar Keuangan Perusahaan Corporate
Finance Fundamentals. Buku 2. Edisi 8
Sari. Dessy Handa, Atim Djazuli dan Siti Aisjah. 2013. Determinan Struktur
Modal dan Dampaknya terhadap Nilai Perusahaan (Studi pada Perusahaan
Makanan dan Minuman di Bursa Efek Indonesia). Jurnal Aplikasi
Manajemen. Volume 11. Nomor 1.
Seftianne dan Ratih Handayani. 2011. Faktor-Faktor yang Mempengaruhi
Struktur Modal pada Perusahaan Publik Sektor Manufaktur. Jurnal Bisnis
dan Akuntansi. Volume 13. Nomor 1. Halaman 39 – 56
Soejoko dan Soebiantoro. 2007. Pengaruh Struktur Kepemilikan Saham,
Leverage, Faktor Intern Dan Faktor Ekstern Terhadap Nilai Perusahaan
(Studi empirik pada perusahaan manufaktur dan non manufaktur di Bursa
Efek Jakarta). Jurnal Ekonomi Manajemen. Volume 9. Nomor 1
Sugiyono. 2009. Metode Penelitian Bisnis. Cetakan Keempatbelas. Bandung:
Penerbit Alfabeta
Sunarsih. 2004. Analisis Simultanitas Kebijakan Hutang dan Kebijakan Maturitas
Hutang serta Faktor-Faktor yang Mempengaruhinya. Jurnal Siasat Bisnis.
Volume 1. Nomor 9.
Supriyanto, Eko dan Falikhatun. 2008. Pengaruh Tangibility, Pertumbuhan
Penjualan dan Ukuran Perusahaan Terhadap Struktur Keuangan. Jurnal
Bisnis dan Akuntansi. Volume 10. Nomor 1. Halaman 13 – 22.
Titman, S. dan Wessels, R. 1988. The Determinant of Capital Structure Choice.
Journal of Finance. Vol. 43. No. 1.
Triyono. 2006. Rekonstruksi dalam Rangka Menghadapi Perubahan Peristiwa
Politik. Value Added. Volume 2. Nomor 2.
Widjaja, Indra dan Faris Kasenda. 2008. Pengaruh Kepemilikan Institusional,
Aktiva Berwujud, Ukuran Perusahaan dan Profitabilitas Terhadap Struktur
Modal pada Perusahaan dalam Industri Barang Konsumsi di BEI. Jurnal
Manajemen. Tahun XII. Nomor 2
Wimelda, Linda dan Aan Marlinah. 2012. Variabel-Variabel yang Mempengaruhi
Struktur Modal pada Perusahaan Publik Sektor Non Keuangan. Media
Bisnis. Edisi Khusus November.
Yusriyanti, Hasni. 2013. Pengaruh Tingkat Profitabilitas, Struktur Asset, dan
Growth Opportunity Terhadap Struktur Modal Pada Perusahaan
Manufaktur yang Telah Go Public Di Bursa Efek Indonesia. Laporan
Penelitian Dana Fakultas Ekonomi Unsri
LAMPIRAN
Uji Normalitas (Semua Negara)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
480
.0000000
.29264456
.123
.123
-.107
2.699
.000
Unstandardize
d Residual
480
.0000000
.23348339
.159
.150
-.159
3.484
.000
Unstandardize
d Residual
480
.0000000
.14081680
.138
.138
-.101
3.034
.000
Unstandardize
d Residual
480
.0000000
.13595653
.113
.113
-.084
2.481
.000
Unstandardize
d Residual
480
.0000000
.09291627
.150
.150
-.124
3.296
.000
Unstandardize
d Residual
480
.0000000
.08183754
.119
.119
-.080
2.610
.000
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: DTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: LDTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: SDTA
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: TDTDE
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: LDTDE
Model
1
Uji Multikolinearitas (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.681
1.468
TANG
.816
1.225
PROFIT
.985
1.015
RISIKO
.992
1.008
UP
.825
1.212
GO
.782
1.279
LIKUIDITAS
.985
1.015
KHS
.217
4.615
SMD
.875
1.143
EG
.238
4.210
IR
.629
1.591
CG
.951
1.052
a. Dependent Variable: SDTDE
Model
1
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: DTA
10
5
0
-5
-2.5
0.0
2.5
5.0
Regression Standardized Predicted Value
7.5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: LDTA
Regression Studentized Residual
15
10
5
0
-5
-2.5
0.0
2.5
5.0
Regression Standardized Predicted Value
7.5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: SDTA
5.0
2.5
0.0
-2.5
-5.0
-15
-10
-5
0
Regression Standardized Predicted Value
5
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: TDTDE
Regression Studentized Residual
6
4
2
0
-2
-4
-4
-2
0
2
Regression Standardized Predicted Value
4
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Regression Studentized Residual
Dependent Variable: LDTDE
5.0
2.5
0.0
-2.5
-5.0
-4
-2
0
2
Regression Standardized Predicted Value
4
Uji Heteroskedastisitas (Semua Negara)
Scatterplot
Dependent Variable: SDTDE
Regression Studentized Residual
4
2
0
-2
-4
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.302a
.091
.068
.29638
1.943
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: DTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
4.127
12
.344
3.916
.000a
Residual
41.022
467
.088
Total
45.149
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.179
.334
NDTS
.383
.109
TANG
.070
.051
PROFIT
.000
.003
RISIKO
6.44E-006
.001
UP
.002
.003
GO
-.194
.282
LIKUIDITAS
-.001
.001
KHS
-.117
.111
SMD
.034
.014
EG
.022
.091
IR
-.031
.006
CG
.002
.001
a. Dependent Variable: DTA
Standardized
Coefficients
Beta
.187
.068
-.003
.000
.026
-.034
-.046
-.100
.117
.022
-.279
.068
t
-.538
3.498
1.384
-.065
.008
.537
-.688
-1.045
-1.051
2.483
.244
-5.008
1.512
Sig.
.591
.001
.167
.948
.993
.592
.492
.296
.294
.013
.807
.000
.131
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.291a
.085
.061
.23646
1.961
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: LDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.411
12
.201
3.593
.000a
Residual
26.112
467
.056
Total
28.523
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.739
.266
NDTS
.199
.087
TANG
.112
.041
PROFIT
.001
.003
RISIKO
.000
.001
UP
.006
.003
GO
-.114
.225
LIKUIDITAS
.000
.001
KHS
-.075
.089
SMD
.035
.011
EG
.039
.073
IR
-.019
.005
CG
-.001
.001
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.122
.135
.024
.026
.113
-.025
-.013
-.080
.153
.049
-.217
-.031
t
-2.778
2.276
2.754
.540
.593
2.319
-.508
-.281
-.845
3.241
.539
-3.891
-.688
Sig.
.006
.023
.006
.589
.553
.021
.611
.779
.398
.001
.590
.000
.492
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.277a
.077
.053
.14261
1.726
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: SDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.787
12
.066
3.226
.000a
Residual
9.498
467
.020
Total
10.286
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.405
.161
NDTS
.040
.053
TANG
-.052
.024
PROFIT
.000
.002
RISIKO
-7.95E-005
.000
UP
-.003
.002
GO
-.070
.135
LIKUIDITAS
-.002
.000
KHS
-.053
.054
SMD
-.005
.006
EG
.062
.044
IR
.004
.003
CG
.001
.000
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.041
-.104
-.011
-.010
-.102
-.026
-.214
-.094
-.038
.128
.082
.067
t
2.522
.764
-2.115
-.236
-.216
-2.079
-.515
-4.776
-.984
-.798
1.399
1.458
1.480
Sig.
.012
.445
.035
.813
.829
.038
.607
.000
.326
.425
.163
.145
.140
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.901a
.812
.807
.13769
1.868
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: TDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
38.274
12
3.190
168.231
.000a
Residual
8.854
467
.019
Total
47.128
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.909
.155
NDTS
.129
.051
TANG
-.060
.024
PROFIT
.003
.002
RISIKO
-7.08E-005
.000
UP
.061
.002
GO
.000
.131
LIKUIDITAS
.000
.000
KHS
-.004
.052
SMD
-.024
.006
EG
-.011
.043
IR
.016
.003
CG
-.001
.000
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.061
-.056
.042
-.004
.846
.000
.008
-.003
-.082
-.011
.143
-.034
t
-5.866
2.529
-2.537
2.069
-.199
38.313
.002
.392
-.071
-3.846
-.256
5.641
-1.643
Sig.
.000
.012
.012
.039
.842
.000
.998
.695
.944
.000
.798
.000
.101
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.800a
.640
.631
.09410
2.026
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: LDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
7.355
12
.613
69.211
.000a
Residual
4.135
467
.009
Total
11.490
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.493
.106
NDTS
.071
.035
TANG
-.031
.016
PROFIT
.001
.001
RISIKO
-1.47E-005
.000
UP
.028
.001
GO
.007
.089
LIKUIDITAS
9.85E-005
.000
KHS
.008
.035
SMD
-.007
.004
EG
-.008
.029
IR
.001
.002
CG
-.001
.000
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.069
-.058
.036
-.002
.800
.002
.010
.014
-.048
-.015
.016
-.067
t
-4.652
2.047
-1.900
1.281
-.061
26.175
.074
.358
.239
-1.629
-.262
.444
-2.370
Sig.
.000
.041
.058
.201
.952
.000
.941
.721
.811
.104
.793
.657
.018
Uji Autokorelasi (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.825a
.681
.673
.08288
1.501
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO,
SMD, EG, UP, NDTS, KHS
b. Dependent Variable: SDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.859
12
.572
83.201
.000a
Residual
3.208
467
.007
Total
10.067
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.244
.093
NDTS
.024
.031
TANG
-.028
.014
PROFIT
.001
.001
RISIKO
1.37E-006
.000
UP
.020
.001
GO
.048
.079
LIKUIDITAS
.000
.000
KHS
-.007
.031
SMD
-.014
.004
EG
-.009
.026
IR
.022
.002
CG
.000
.000
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.025
-.056
.037
.000
.595
.018
-.020
-.012
-.102
-.019
.416
-.042
t
-2.619
.790
-1.942
1.387
.006
20.700
.609
-.759
-.214
-3.643
-.361
12.623
-1.574
Sig.
.009
.430
.053
.166
.995
.000
.543
.448
.830
.000
.718
.000
.116
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: DTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.302a
.091
.068
.29638
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
4.127
12
.344
3.916
.000a
Residual
41.022
467
.088
Total
45.149
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.179
.334
NDTS
.383
.109
TANG
.070
.051
PROFIT
.000
.003
RISIKO
6.44E-006
.001
UP
.002
.003
GO
-.194
.282
LIKUIDITAS
-.001
.001
KHS
-.117
.111
SMD
.034
.014
EG
.022
.091
IR
-.031
.006
CG
.002
.001
a. Dependent Variable: DTA
Standardized
Coefficients
Beta
.187
.068
-.003
.000
.026
-.034
-.046
-.100
.117
.022
-.279
.068
t
-.538
3.498
1.384
-.065
.008
.537
-.688
-1.045
-1.051
2.483
.244
-5.008
1.512
Sig.
.591
.001
.167
.948
.993
.592
.492
.296
.294
.013
.807
.000
.131
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.291a
.085
.061
.23646
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.411
12
.201
3.593
.000a
Residual
26.112
467
.056
Total
28.523
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.739
.266
NDTS
.199
.087
TANG
.112
.041
PROFIT
.001
.003
RISIKO
.000
.001
UP
.006
.003
GO
-.114
.225
LIKUIDITAS
.000
.001
KHS
-.075
.089
SMD
.035
.011
EG
.039
.073
IR
-.019
.005
CG
-.001
.001
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.122
.135
.024
.026
.113
-.025
-.013
-.080
.153
.049
-.217
-.031
t
-2.778
2.276
2.754
.540
.593
2.319
-.508
-.281
-.845
3.241
.539
-3.891
-.688
Sig.
.006
.023
.006
.589
.553
.021
.611
.779
.398
.001
.590
.000
.492
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.277a
.077
.053
.14261
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.787
12
.066
3.226
.000a
Residual
9.498
467
.020
Total
10.286
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.405
.161
NDTS
.040
.053
TANG
-.052
.024
PROFIT
.000
.002
RISIKO
-7.95E-005
.000
UP
-.003
.002
GO
-.070
.135
LIKUIDITAS
-.002
.000
KHS
-.053
.054
SMD
-.005
.006
EG
.062
.044
IR
.004
.003
CG
.001
.000
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.041
-.104
-.011
-.010
-.102
-.026
-.214
-.094
-.038
.128
.082
.067
t
2.522
.764
-2.115
-.236
-.216
-2.079
-.515
-4.776
-.984
-.798
1.399
1.458
1.480
Sig.
.012
.445
.035
.813
.829
.038
.607
.000
.326
.425
.163
.145
.140
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: TDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.901a
.812
.807
.13769
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
38.274
12
3.190
168.231
.000a
Residual
8.854
467
.019
Total
47.128
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.909
.155
NDTS
.129
.051
TANG
-.060
.024
PROFIT
.003
.002
RISIKO
-7.08E-005
.000
UP
.061
.002
GO
.000
.131
LIKUIDITAS
.000
.000
KHS
-.004
.052
SMD
-.024
.006
EG
-.011
.043
IR
.016
.003
CG
-.001
.000
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.061
-.056
.042
-.004
.846
.000
.008
-.003
-.082
-.011
.143
-.034
t
-5.866
2.529
-2.537
2.069
-.199
38.313
.002
.392
-.071
-3.846
-.256
5.641
-1.643
Sig.
.000
.012
.012
.039
.842
.000
.998
.695
.944
.000
.798
.000
.101
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: LDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.800a
.640
.631
.09410
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
7.355
12
.613
69.211
.000a
Residual
4.135
467
.009
Total
11.490
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.493
.106
NDTS
.071
.035
TANG
-.031
.016
PROFIT
.001
.001
RISIKO
-1.47E-005
.000
UP
.028
.001
GO
.007
.089
LIKUIDITAS
9.85E-005
.000
KHS
.008
.035
SMD
-.007
.004
EG
-.008
.029
IR
.001
.002
CG
-.001
.000
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.069
-.058
.036
-.002
.800
.002
.010
.014
-.048
-.015
.016
-.067
t
-4.652
2.047
-1.900
1.281
-.061
26.175
.074
.358
.239
-1.629
-.262
.444
-2.370
Sig.
.000
.041
.058
.201
.952
.000
.941
.721
.811
.104
.793
.657
.018
Regression (Semua Negara)
Variables Entered/Removedb
Model
1
Variables
Entered
Variables
Removed
CG, IR,
PROFIT,
RISIKO,
LIKUIDITA
S, TANG,
GO, SMD,
EG, UP,
a
NDTS, KHS
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: SDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.825a
.681
.673
.08288
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO,
LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.859
12
.572
83.201
.000a
Residual
3.208
467
.007
Total
10.067
479
a. Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG,
UP, NDTS, KHS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.244
.093
NDTS
.024
.031
TANG
-.028
.014
PROFIT
.001
.001
RISIKO
1.37E-006
.000
UP
.020
.001
GO
.048
.079
LIKUIDITAS
.000
.000
KHS
-.007
.031
SMD
-.014
.004
EG
-.009
.026
IR
.022
.002
CG
.000
.000
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.025
-.056
.037
.000
.595
.018
-.020
-.012
-.102
-.019
.416
-.042
t
-2.619
.790
-1.942
1.387
.006
20.700
.609
-.759
-.214
-3.643
-.361
12.623
-1.574
Sig.
.009
.430
.053
.166
.995
.000
.543
.448
.830
.000
.718
.000
.116
Uji Normalitas (Indonesia)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
85
.0000000
.14392728
.093
.072
-.093
.857
.454
Unstandardize
d Residual
85
.0000000
.09419288
.124
.124
-.071
1.147
.144
Unstandardize
d Residual
85
.0000000
.08215470
.079
.079
-.046
.729
.662
Unstandardize
d Residual
85
.0000000
.13469012
.109
.063
-.109
1.005
.265
Unstandardize
d Residual
85
.0000000
.11116265
.056
.056
-.045
.514
.954
Unstandardize
d Residual
85
.0000000
.09692249
.087
.087
-.044
.798
.548
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: DTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: LDTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: SDTA
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: TDTDE
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: LDTDE
Uji Multikolinearitas (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Coefficientsa
Collinearity Statistics
Model
Tolerance
VIF
1
NDTS
.433
2.307
TANG
.520
1.925
PROFIT
.803
1.245
RISIKO
.807
1.239
UP
.660
1.514
GO
.660
1.515
LIKUIDITAS
.769
1.301
KHS
.597
1.676
SMD
.626
1.598
CG
.614
1.628
a. Dependent Variable: SDTDE
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: DTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: LDTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: SDTA
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-3
-2
-1
0
1
Regression Standardized Predicted Value
2
3
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: TDTDE
Regression Studentized Residual
2
1
0
-1
-2
-3
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: LDTDE
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Heteroskedastisitas (Indonesia)
Scatterplot
Dependent Variable: SDTDE
Regression Studentized Residual
3
2
1
0
-1
-2
-3
-2
-1
0
Regression Standardized Predicted Value
1
2
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.578a
.334
.243
.15394
2.402
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: DTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.878
10
.088
3.703
.000a
Residual
1.754
74
.024
Total
2.631
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Model
1
(Constant)
NDTS
TANG
PROFIT
RISIKO
UP
GO
LIKUIDITAS
KHS
SMD
CG
a. Dependent Variable: DTA
Unstandardized
Coefficients
B
Std. Error
-1.380
.476
.210
.083
-.031
.055
-.055
.128
.023
.020
.003
.006
.318
.662
-.036
.012
-.008
.067
.069
.020
-.158
.772
Standardized
Coefficients
Beta
.363
-.075
-.045
.121
.058
.056
-.321
-.014
.410
-.025
t
-2.903
2.516
-.566
-.427
1.145
.500
.480
-2.970
-.113
3.415
-.204
Sig.
.005
.014
.573
.671
.256
.618
.633
.004
.911
.001
.839
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.640a
.410
.330
.10124
2.356
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: LDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.527
10
.053
5.142
.000a
Residual
.759
74
.010
Total
1.286
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.872
.313
NDTS
.059
.055
TANG
-.019
.036
PROFIT
-.314
.084
RISIKO
.032
.013
UP
-.002
.004
GO
-.099
.435
LIKUIDITAS
-.008
.008
KHS
-.004
.044
SMD
.045
.013
CG
.205
.508
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.145
-.067
-.371
.244
-.049
-.025
-.097
-.010
.381
.046
t
-2.788
1.071
-.539
-3.729
2.452
-.443
-.226
-.955
-.083
3.373
.405
Sig.
.007
.288
.591
.000
.017
.659
.821
.343
.934
.001
.687
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.669a
.448
.373
.08756
1.779
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: SDTA
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.460
10
.046
5.998
.000a
Residual
.567
74
.008
Total
1.027
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.232
.270
NDTS
.019
.047
TANG
-.011
.031
PROFIT
.379
.073
RISIKO
-.017
.011
UP
.004
.003
GO
.276
.377
LIKUIDITAS
-.035
.007
KHS
.007
.038
SMD
.013
.012
CG
.183
.439
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.052
-.042
.501
-.149
.126
.078
-.508
.020
.122
.046
t
-.859
.398
-.349
5.203
-1.546
1.181
.734
-5.154
.181
1.118
.417
Sig.
.393
.692
.728
.000
.126
.241
.466
.000
.857
.267
.678
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.897a
.805
.778
.14405
1.892
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: TDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.321
10
.632
30.463
.000a
Residual
1.535
74
.021
Total
7.856
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.494
.445
NDTS
.277
.078
TANG
-.053
.051
PROFIT
-.174
.120
RISIKO
.015
.018
UP
.080
.005
GO
.518
.620
LIKUIDITAS
-.031
.011
KHS
.093
.063
SMD
-.091
.019
CG
1.018
.722
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.278
-.074
-.083
.046
.972
.053
-.162
.098
-.312
.092
t
1.109
3.556
-1.041
-1.449
.796
15.371
.836
-2.759
1.472
-4.807
1.409
Sig.
.271
.001
.301
.152
.429
.000
.406
.007
.145
.000
.163
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.696a
.485
.415
.12054
2.213
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: LDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
1.011
10
.101
6.957
.000a
Residual
1.075
74
.015
Total
2.086
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.110
.372
NDTS
.074
.065
TANG
-.014
.043
PROFIT
-.298
.100
RISIKO
.036
.015
UP
.025
.004
GO
.064
.519
LIKUIDITAS
-.009
.009
KHS
.020
.053
SMD
-.025
.016
CG
.683
.604
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.144
-.039
-.277
.218
.599
.013
-.091
.041
-.163
.120
t
.295
1.134
-.335
-2.971
2.342
5.830
.123
-.960
.379
-1.547
1.130
Sig.
.769
.260
.739
.004
.022
.000
.903
.340
.706
.126
.262
Uji Autokorelasi (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Model Summaryb
Adjusted R
Std. Error of
Model
R
R Square
Durbin-Watson
Square
the Estimate
1
.866a
.751
.717
.10407
2.066
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
b. Dependent Variable: SDTDE
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.415
10
.241
22.296
.000a
Residual
.801
74
.011
Total
3.216
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.402
.321
NDTS
.168
.056
TANG
-.017
.037
PROFIT
.281
.087
RISIKO
-.032
.013
UP
.051
.004
GO
.447
.448
LIKUIDITAS
-.022
.008
KHS
.083
.045
SMD
-.068
.014
CG
1.007
.522
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.263
-.038
.210
-.156
.980
.071
-.176
.136
-.362
.143
t
1.251
2.988
-.466
3.241
-2.414
13.725
.999
-2.663
1.817
-4.930
1.931
Sig.
.215
.004
.642
.002
.018
.000
.321
.010
.073
.000
.057
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.578a
.334
.243
.15394
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.878
10
.088
3.703
.000a
Residual
1.754
74
.024
Total
2.631
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: DTA
Coefficientsa
Model
1
(Constant)
NDTS
TANG
PROFIT
RISIKO
UP
GO
LIKUIDITAS
KHS
SMD
CG
a. Dependent Variable: DTA
Unstandardized
Coefficients
B
Std. Error
-1.380
.476
.210
.083
-.031
.055
-.055
.128
.023
.020
.003
.006
.318
.662
-.036
.012
-.008
.067
.069
.020
-.158
.772
Standardized
Coefficients
Beta
.363
-.075
-.045
.121
.058
.056
-.321
-.014
.410
-.025
t
-2.903
2.516
-.566
-.427
1.145
.500
.480
-2.970
-.113
3.415
-.204
Sig.
.005
.014
.573
.671
.256
.618
.633
.004
.911
.001
.839
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.640a
.410
.330
.10124
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.527
10
.053
5.142
.000a
Residual
.759
74
.010
Total
1.286
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.872
.313
NDTS
.059
.055
TANG
-.019
.036
PROFIT
-.314
.084
RISIKO
.032
.013
UP
-.002
.004
GO
-.099
.435
LIKUIDITAS
-.008
.008
KHS
-.004
.044
SMD
.045
.013
CG
.205
.508
a. Dependent Variable: LDTA
Standardized
Coefficients
Beta
.145
-.067
-.371
.244
-.049
-.025
-.097
-.010
.381
.046
t
-2.788
1.071
-.539
-3.729
2.452
-.443
-.226
-.955
-.083
3.373
.405
Sig.
.007
.288
.591
.000
.017
.659
.821
.343
.934
.001
.687
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTA
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.669a
.448
.373
.08756
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
.460
10
.046
5.998
.000a
Residual
.567
74
.008
Total
1.027
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTA
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
-.232
.270
NDTS
.019
.047
TANG
-.011
.031
PROFIT
.379
.073
RISIKO
-.017
.011
UP
.004
.003
GO
.276
.377
LIKUIDITAS
-.035
.007
KHS
.007
.038
SMD
.013
.012
CG
.183
.439
a. Dependent Variable: SDTA
Standardized
Coefficients
Beta
.052
-.042
.501
-.149
.126
.078
-.508
.020
.122
.046
t
-.859
.398
-.349
5.203
-1.546
1.181
.734
-5.154
.181
1.118
.417
Sig.
.393
.692
.728
.000
.126
.241
.466
.000
.857
.267
.678
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: TDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.897a
.805
.778
.14405
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
6.321
10
.632
30.463
.000a
Residual
1.535
74
.021
Total
7.856
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: TDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.494
.445
NDTS
.277
.078
TANG
-.053
.051
PROFIT
-.174
.120
RISIKO
.015
.018
UP
.080
.005
GO
.518
.620
LIKUIDITAS
-.031
.011
KHS
.093
.063
SMD
-.091
.019
CG
1.018
.722
a. Dependent Variable: TDTDE
Standardized
Coefficients
Beta
.278
-.074
-.083
.046
.972
.053
-.162
.098
-.312
.092
t
1.109
3.556
-1.041
-1.449
.796
15.371
.836
-2.759
1.472
-4.807
1.409
Sig.
.271
.001
.301
.152
.429
.000
.406
.007
.145
.000
.163
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: LDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.696a
.485
.415
.12054
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
1.011
10
.101
6.957
.000a
Residual
1.075
74
.015
Total
2.086
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: LDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.110
.372
NDTS
.074
.065
TANG
-.014
.043
PROFIT
-.298
.100
RISIKO
.036
.015
UP
.025
.004
GO
.064
.519
LIKUIDITAS
-.009
.009
KHS
.020
.053
SMD
-.025
.016
CG
.683
.604
a. Dependent Variable: LDTDE
Standardized
Coefficients
Beta
.144
-.039
-.277
.218
.599
.013
-.091
.041
-.163
.120
t
.295
1.134
-.335
-2.971
2.342
5.830
.123
-.960
.379
-1.547
1.130
Sig.
.769
.260
.739
.004
.022
.000
.903
.340
.706
.126
.262
Regression (Indonesia)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, TANG,
PROFIT,
RISIKO,
.
LIKUIDITA
S, UP, GO,
SMD, aKHS,
NDTS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: SDTDE
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
1
.866a
.751
.717
.10407
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
ANOVAb
Sum of
df
Mean Square
F
Sig.
Squares
Regression
2.415
10
.241
22.296
.000a
Residual
.801
74
.011
Total
3.216
84
a. Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS
Model
1
b. Dependent Variable: SDTDE
Coefficientsa
Unstandardized
Coefficients
Model
B
Std. Error
1
(Constant)
.402
.321
NDTS
.168
.056
TANG
-.017
.037
PROFIT
.281
.087
RISIKO
-.032
.013
UP
.051
.004
GO
.447
.448
LIKUIDITAS
-.022
.008
KHS
.083
.045
SMD
-.068
.014
CG
1.007
.522
a. Dependent Variable: SDTDE
Standardized
Coefficients
Beta
.263
-.038
.210
-.156
.980
.071
-.176
.136
-.362
.143
t
1.251
2.988
-.466
3.241
-2.414
13.725
.999
-2.663
1.817
-4.930
1.931
Sig.
.215
.004
.642
.002
.018
.000
.321
.010
.073
.000
.057
Uji Normalitas (Filipina)
One-Sample Kolmogorov-Smirnov Test
N
Normal Parametersa,b
Most Extreme
Differences
Mean
Std. Deviation
Absolute
Positive
Negative
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Test distribution is Normal.
b. Calculated from data.
Unstandardize
d Residual
75
.0000000
.15235714
.109
.109
-.079
.944
.335
Unstandardize
d Residual
75
.0000000
.11133413
.070
.060
-.070
.606
.856
Unstandardize
d Residual
75
.0000000
.07722038
.105
.105
-.076
.906
.385
Unstandardize
d Residual
75
.0000000
.14051083
.201
.201
-.086
1.741
.005
Unstandardize
d Residual
75
.0000000
.06845900
.208
.208
-.091
1.804
.003
Unstandardize
d Residual
75
.0000000
.04954054
.181
.181
-.117
1.568
.015
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, UP,
RISIKO,
NDTS,
SMD, GO,
.
PROFIT,
TANG,
LIKUIDITA
a
S, KHS
a. All requested variables entered.
Model
1
Method
Enter
b. Dependent Variable: DTA
Coefficientsa
Collinearity Statistics
Tolerance
VIF
NDTS
.751
1.332
TANG
.785
1.273
PROFIT
.871
1.148
RISIKO
.945
1.058
UP
.796
1.256
GO
.499
2.002
LIKUIDITAS
.685
1.461
KHS
.226
4.430
SMD
.907
1.103
CG
.309
3.231
a. Dependent Variable: DTA
Model
1
Uji Multikolinearitas (Filipina)
Variables Entered/Removedb
Variables
Variables
Entered
Removed
CG, UP,
RISIKO,
NDTS,
SMD,