LAMPIRAN 1: KUESIONER PENGARUH KOMITMEN ORGANISASI DAN PROFESIONAL TERHADAP KEPUASAN KERJA DENGAN JENIS AUDITOR SEBAGAI VARIABEL MODERATING (STUDI EMPIRIS DI KAP DAN PERUSAHAAN MANUFAKTUR SEMARANG) PETUNJUK
Filename:
SKRIPSI_11.60.0220_&_DWI_OKTAVIA_ARUM_Pengaruh_Komitmen_Organisasi_dan_Profesional_Terhadap_Kepuasan_Kerja_Dengan_Jeni.doc
Date: 2017-04-05 03:59 UTC
Results of plagiarism analysis from 2017-04-05 04:06 UTC
1220 matches from 100 sources, of which 14 are online sources.PlagLevel: 7.7% /42.4% [0] (106 matches, 6.6% /26.4%) from (+ 1 documents with identical matches) [2] (37 matches, 1.3% /11.8%) from
[3] (36 matches, 1.2% /11.6%) from [5] (34 matches, 1.1% /11.7%) from [7] (30 matches, 1.3% /7.2%) from [9] (23 matches, 0.7% /4.5%) from (+ 2 documents with identical matches) [12] (22 matches, 0.8% /4.8%) from [14] (16 matches, 0.2% /2.9%) from (+ 1 documents with identical matches) [16] (14 matches, 0.1% /2.9%) from [18] (12 matches, 0.4% /2.7%) from [20] (11 matches, 0.0%2.4%) from [22] (12 matches, 0.2% /2.5%) from [24] (14 matches, 0.3% /2.3%) from [26] (12 matches, 0.1% /2.2%) from (+ 1 documents with identical matches) [28] (11 matches, 0.1% /2.2%) from [30] (8 matches, 0.0%2.1%) from [32] (13 matches, 0.1% /1.9%) from [34] (7 matches, 0.0%2.0%) from (+ 1 documents with identical matches) [36] (11 matches, 0.5% /1.9%) from [38] (9 matches, 0.1% /1.8%) from (+ 1 documents with identical matches) [40] (8 matches, 0.0%1.7%) from (+ 1 documents with identical matches) [42] (9 matches, 0.0%1.7%) from [44] (9 matches, 0.0%1.7%) from [46] (9 matches, 0.0%1.7%) from (+ 1 documents with identical matches) [48] (6 matches, 0.4% /1.5%) from [50] (7 matches, 0.0%1.5%) from [52] (12 matches, 0.2% /1.7%) from [54] (7 matches, 0.0%1.4%) from [56] (7 matches, 0.1% /1.6%) from (+ 1 documents with identical matches) [58] (8 matches, 0.0%1.3%) from [60] (6 matches, 0.0%1.5%) from [62] (5 matches, 0.0%1.5%) from (+ 1 documents with identical matches) [64] (7 matches, 0.2% /1.3%) from
LAMPIRAN 1 KUESIONER
LAMPIRAN 1: KUESIONER
PENGARUH KOMITMEN ORGANISASI DAN PROFESIONAL TERHADAP
KEPUASAN KERJA DENGAN JENIS AUDITOR SEBAGAI VARIABEL
MODERATING (STUDI EMPIRIS DI KAP DAN PERUSAHAAN MANUFAKTUR
SEMARANG)
PETUNJUKBapak/Ibu diminta untuk memberi tanda tickmark (√) pada salah satu kotak yang tersedia
dengan keterangan sebagai berikut.1 = Sangat Tidak Setuju 3 = Normal 5 = Sangat Setuju 2 = Tidak Setuju 4 = Setuju
IDENTITAS RESPONDEN
1. Nama : (boleh tidak diisi)
2. Jenis auditor : internal eksternal
3. Jenis kelamin : Pria Wanita
4. Umur :
5. Pendidikan : D3 S1 S2
6. Lama bekerja : < 5 tahun 5-10 tahun >10 tahun
KEPUASAN KERJA Sumber: Usmani dan Jamal (2013)
NO PERNYATAAN STS TS N S SS 1. Secara umum, saya puas dengan pekerjaan saya
Saya mempunyai relasi kerja yang dapat menghargai dan 2. menerima pendapat saya. Kebanyakan auditor di perusahaan tempat saya bekerja, 3. sangat puas dengan pekerjaan mereka.
Saya puas dengan cara dan gaji perusaahaan ini 4. dibandingkan dengan perusahaan lain. Saya puas dengan cara kerja atasan saya memimpin 5. bawahan.
KOMITMEN ORGANISASI Sumber: Wijayanti (2008)
NO PERNYATAAN STS TS N S SS
Saya merasa memiliki ikatan emosional dengan organisasi 1. tempat saya bekerja.
2. Saya merasa masalah organisasi adalah masalah saya juga.
Saya bersedia berusaha di atas batas normal untuk 3. mensukseskan organisasi. Saya terikat dengan organisasi tempat saya bekerja.
4. Tetap tinggal di organisasi adalah merupakan kebutuhan 5. saya. Apabila saya memutuskan untuk keluar dari organisasi ini, 6. saya akan memerlukan pengorbanan yang harus dipertimbangkan.
7. Apapun yang terjadi saya akan bertahan di organisasi ini.
Banyak yang saya peroleh dengan tetap bertahan di 8. organisasi ini.
KOMITMEN PROFESIONAL Sumber: Robbins (2013)
NO PERNYATAAN STS TS N S SS 1. Saya memiliki hubungan baik dengan rekan sesama profesi
2. Saya memiliki kebutuhan untuk mandiri .
3. Saya memiliki keyakinan terhadap peraturan profesi.
4. Saya memiliki dedikasi pada profesi.
5. Saya memiliki kewajiban sosial yang harus dipenuhi.
LAMPIRAN 2 TABULASI DATA LAMPIRAN 3 - 4 OUTPUT SPSS
LAMPIRAN 3: OUTPUT SPSS
GAMBARAN UMUM RESPONDEN
Compare Means Auditor Internal KK KO KP * JENISKELAMIN
36
66
77
77
77 Std. Deviation 1.93336 3.81569 2.39110
KK KO KP * PENDIDIKAN
PENDIDIKAN KK KO KP D3 Mean 18.4000 26.6000 19.0000 N
5
5
5 Std. Deviation .89443 2.40832 1.41421 S1
Mean 18.7576 30.5000 19.5606 N
66
9 Std. Deviation 1.87824 5.23874 2.12786 Total
66 Std. Deviation 1.98503 3.74269 2.37376 S2
Mean 19.6667 32.5000 21.6667 N
6
6
6 Std. Deviation 1.96638 3.83406 2.58199 Total
Mean 18.8052 30.4026 19.6883 N
77
77
77 Std. Deviation 1.93336 3.81569 2.39110
Mean 18.8052 30.4026 19.6883 N
9
36
KK KO KP * UMUR
36 Std. Deviation 1.67971 3.79557 2.44690 W
Mean 18.7073 29.6829 19.5122 N
41
41
41 Std. Deviation 2.14760 3.73121 2.35714 Total
Mean 18.8052 30.4026 19.6883 N
77
77
77 Std. Deviation 1.93336 3.81569 2.39110
UMUR KK KO KP 21-30
JENISKELAMIN KK KO KP P Mean 18.9167 31.2222 19.8889 N
Mean 18.1739 27.3913 18.5652 N
23
23
23 Std. Deviation 1.80031 3.18718 2.14955 31-40
Mean 18.7778 31.7778 19.8889 N
45
45
45 Std. Deviation 1.83264 2.87536 2.30831 41-50
Mean 20.5556 31.2222 21.5556 N
9
KK KO KP * LAMABEKERJA
LAMABEKERJA KK KO KP Mean 18.8571 29.2381 19.3810
<5 N
21
21
21 Std. Deviation 2.43487 4.26503 2.43877 Mean 18.6923 29.3077 20.5385
>10 N
13
13
13 Std. Deviation 2.39390 4.13087 2.06621 Mean 18.8140 31.3023 19.5814
5-10 N
43
43
43 Std. Deviation 1.51588 3.30609 2.45175 Mean 18.8052 30.4026 19.6883
Total N
77
77
77 Std. Deviation 1.93336 3.81569 2.39110
Compare Means Auditor Eksternal KK KO KP * JENISKELAMIN
JENISKELAMIN KK KO KP Mean 21.2500 29.6000 21.7000
P N
20
20
20 Std. Deviation 2.40340 5.96834 1.89459 Mean 22.7000 34.2000 21.9000
W N
10
10
10 Std. Deviation 1.49443 1.47573 1.66333 Mean 21.7333 31.1333 21.7667
Total N
30
30
30 Std. Deviation 2.22731 5.37384 1.79431
KK KO KP * UMUR
UMUR KK KO KP Mean 22.4000 30.3333 22.2000
21-30 N
15
15
15 Std. Deviation 2.06328 5.94819 2.04241 Mean 20.9231 31.5385 21.2308
31-40 N
13
13
13 Std. Deviation 2.39658 5.05990 1.53590 Mean 22.0000 34.5000 22.0000
41-50 N
2
2
2 Std. Deviation .00000 .70711 .00000 Mean 21.7333 31.1333 21.7667
Total N
30
30
30 Std. Deviation 2.22731 5.37384 1.79431
KK KO KP * PENDIDIKAN
PENDIDIKAN KK KO KP D3 Mean 23.0000 33.0000 22.0000
N
1
1
1 Std. Deviation . . . Mean 21.6897 31.0690 21.7586
S1 N
29
29
29 Std. Deviation 2.25362 5.45718 1.82552 Mean 21.7333 31.1333 21.7667
Total N
30
30
30 Std. Deviation 2.22731 5.37384 1.79431
KK KO KP * LAMABEKERJA
LAMABEKERJA KK KO KP Mean 21.4762 31.4762 21.4286
<5 N
21
21
21 Std. Deviation 2.04007 4.97613 1.66046 Mean 22.3333 30.3333 22.5556
5-10 N
9
9
9 Std. Deviation 2.64575 6.46142 1.94365 Mean 21.7333 31.1333 21.7667
Total N
30
30
30 Std. Deviation 2.22731 5.37384 1.79431
Compare Means Keseluruhan Auditor Report
KK JENIS KELAMIN Mean N Std. Deviation P
19.75 56 2.250 W
19.49 51 2.580 Total 19.63 107 2.405
a
ANOVA Table
Sum of df Mean F Sig.Squares Square Between
(Combined) 1.802 1 1.802 .309 .579 Groups
KK * JENIS Within Groups 611.245 105 5.821
KELAMIN Total 613.047 106 a. The grouping variable JENIS KELAMIN is a string, so the test for linearity cannot be computed.
Report
KK UMUR Mean N Std. Deviation 21-30
19.84 38 2.814 31-40
19.26 58 2.149 41-50
20.82 11 1.779 Total 19.63 107 2.405
a
ANOVA Table
Sum of df Mean Square F Sig.Squares Between Groups (Combined) 25.237 2 12.619 2.233 .112 Within Groups 587.810 104 5.652
KK * UMUR Total 613.047 106 a. The grouping variable UMUR is a string, so the test for linearity cannot be computed.
Report
KK PENDIDIKAN Mean N Std. Deviation D3
19.17 6 2.041 S1
19.65 95 2.466 S2
19.67 6 1.966 Total 19.63 107 2.405
a
ANOVA Table
Sum of df Mean F Sig.Squares Square Between
(Combined) 1.343 2 .672 .114 .892 Groups
KK * Within Groups 611.704 104 5.882
PENDIDIKAN Total 613.047 106 a. The grouping variable PENDIDIKAN is a string, so the test for linearity cannot be computed.
Report
KK LAMA BEKERJA Mean N Std. Deviation <5
20.17 42 2.584 >10
18.69 13 2.394 5-10
19.42 52 2.190 Total 19.63 107 2.405
a
ANOVA Table
Sum of df Mean F Sig.Squares Square Between
(Combined) 25.752 2 12.876 2.280 .107 Groups
KK * LAMA Within Groups 587.295 104 5.647
BEKERJA Total 613.047 106 a. The grouping variable LAMA BEKERJA is a string, so the test for linearity cannot be computed.
Report
KK JENIS AUDITOR Mean N Std. Deviation EKSTERNAL
21.73 30 2.227
INTERNAL
18.81 77 1.933 Total 19.63 107 2.405
a
ANOVA Table
Sum of df Mean F Sig.Squares Square Between (Combined) 185.102 1 185.102 45.416 .000
Groups KK * JENIS
Within Groups 427.945 105 4.076 AUDITOR
Total 613.047 106 a. The grouping variable JENIS AUDITOR is a string, so the test for linearity cannot be computed.
LAMPIRAN 3: OUTPUT SPSS
UJI HIPOTESIS 1
Regression a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KO . Enter
b
2 KO.JA . Enter
a. Dependent Variable: KK b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .625 .390 .378 1.89612
b
2 .648 .419 .402 1.85895
a. Predictors: (Constant), JA, KO
b. Predictors: (Constant), JA, KO, KO.JA
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression 239.138 2 119.569 33.257 .000 Residual 373.909 104 3.595
1 Total 613.047 106
c
Regression 257.110 3 85.703 24.801 .000 Residual 355.937 103 3.456
2 Total 613.047 106
a. Dependent Variable: KK
b. Predictors: (Constant), JA, KO
c. Predictors: (Constant), JA, KO, KO.JA
a
Coefficients
Model Unstandardized Standardized t Sig. Collinearity Statistics Coefficients Coefficients
B Std. Error Beta Tolerance
VIF (Constant) 13.736 1.325 10.366 .000
1 KO .167 .043 .298 3.877 .000 .994 1.006 JA 2.806 .409 .527 6.856 .000 .994 1.006 (Constant) 11.193 1.712 6.537 .000 KO .250 .056 .447 4.480 .000 .566 1.767
2 JA 8.790 2.655 1.650 3.311 .001 .023 44.021 KO.JA -.194 .085 -1.157 -2.280 .025 .022 45.655
a. Dependent Variable: KK
Regression
a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KO_MC . Enter
b
2 KO.JA_MC . Enter
a. Dependent Variable: KK_MC b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .625 .390 .378 1.89612
b
2 .648 .419 .402 1.85895
a. Predictors: (Constant), JA, KO_MC
b. Predictors: (Constant), JA, KO_MC, KO.JA_MC
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression 239.138 2 119.569 33.257 .000 Residual 373.909 104 3.595
1 Total 613.047 106
c
Regression 257.110 3 85.703 24.801 .000 Residual 355.937 103 3.456
2 Total 613.047 106
a. Dependent Variable: KK_MC
b. Predictors: (Constant), JA, KO_MC
c. Predictors: (Constant), JA, KO_MC, KO.JA_MC
a
Coefficients
Model Unstandardized Standardized t Sig. Collinearity Statistics Coefficients Coefficients
B Std. Error Beta Tolerance
VIF (Constant) -.790 .216 -3.654 .000
1 KO_MC .167 .043 .298 3.877 .000 .994 1.006 JA 2.806 .409 .527 6.856 .000 .994 1.006 (Constant) -.773 .212 -3.643 .000 KO_MC .250 .056 .447 4.480 .000 .566 1.767
2 JA 2.847 .402 .534 7.088 .000 .992 1.008 KO.JA_MC .194 .085 .228 2.280 .025 .565 1.769
a. Dependent Variable: KK_MC
NPar Tests One-Sample Kolmogorov-Smirnov Test
Standardized Residual
N 107
Mean
0E-7
a,b
Normal Parameters Std. Deviation .98574749 Absolute .056
Most Extreme Differences Positive .053 Negative -.056
Kolmogorov-Smirnov Z .580 Asymp. Sig. (2-tailed) .890 a. Test distribution is Normal.
b. Calculated from data.
Regression a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KO_MC . Enter
b
2 KO.JA_MC . Enter
a. Dependent Variable: ABSRES1 b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .277 .077 .059 1.11533
b
2 .387 .150 .125 1.07570
a. Predictors: (Constant), JA, KO_MC
b. Predictors: (Constant), JA, KO_MC, KO.JA_MC
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression 10.792 2 5.396 4.338 .016 Residual 129.371 104 1.244
1 Total 140.163 106
c
Regression 20.978 3 6.993 6.043 .001 Residual 119.185 103 1.157
2 Total 140.163 106
a. Dependent Variable: ABSRES1
b. Predictors: (Constant), JA, KO_MC
c. Predictors: (Constant), JA, KO_MC, KO.JA_MC
a
Coefficients
Model Unstandardized Standardized t Sig. Collinearity Statistics Coefficients Coefficients
B Std. Error Beta Tolerance
VIF
1 (Constant) 1.331 .127 10.459 .000 KO_MC -.069 .025 -.257 -2.725 .058 .994 1.006 JA .319 .241 .125 1.324 .188 .994 1.006
2 (Constant) 1.344 .123 10.944 .000 KO_MC -.006 .032 -.022 -.184 .854 .566 1.767 JA .349 .232 .137 1.502 .136 .992 1.008 KO.JA_MC -.146 .049 -.359 -2.967 .054 .565 1.769
a. Dependent Variable: ABSRES1
LAMPIRAN 4: OUTPUT SPSS
UJI HIPOTESIS 2
Regression a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KP . Enter
b
2 KP.JA . Enter
a. Dependent Variable: KK b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .680 .462 .451 1.78114
b
2 .701 .491 .476 1.74104
a. Predictors: (Constant), JA, KP
b. Predictors: (Constant), JA, KP, KP.JA
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression 283.110 2 141.555 44.620 .000 Residual 329.936 104 3.172
1 Total 613.047 106
c
Regression 300.830 3 100.277 33.081 .000 Residual 312.216 103 3.031
2 Total 613.047 106
a. Dependent Variable: KK
b. Predictors: (Constant), JA, KP
c. Predictors: (Constant), JA, KP, KP.JA
a
Coefficients
Model Unstandardized Standardized t Sig. Collinearity Statistics Coefficients Coefficients
B Std. Error Beta Tolerance
VIF (Constant) 10.322 1.540 6.704 .000
1 KP .431 .078 .434 5.558 .000 .850 1.177 JA 2.033 .416 .381 4.888 .000 .850 1.177 (Constant) 11.994 1.656 7.241 .000 KP .346 .084 .348 4.142 .000 .700 1.429
2 JA -8.243 4.269 -1.547 -1.931 .056 .008 129.811 KP.JA .480 .199 1.970 2.418 .017 .007 134.307
a. Dependent Variable: KK
Regression
a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KP_MC . Enter
b
2 KP.JA_MC . Enter
a. Dependent Variable: KK_MC b. All requested variables entered.
c Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .680 .462 .451 1.78114
b
2 .701 .491 .476 1.74104
a. Predictors: (Constant), JA, KP_MC
b. Predictors: (Constant), JA, KP_MC, KP.JA_MC
c. Dependent Variable: KK_MC
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression 283.110 2 141.555 44.620 .000 Residual 329.936 104 3.172
1 Total 613.047 106
c
Regression 300.830 3 100.277 33.081 .000 Residual 312.216 103 3.031
2 Total 613.047 106
a. Dependent Variable: KK_MC
b. Predictors: (Constant), JA, KP_MC
c. Predictors: (Constant), JA, KP_MC, KP.JA_MC
a
Coefficients
Model Unstandardized Standardized t Sig. Collinearity Statistics Coefficients Coefficients
B Std. Error Beta Tolerance
VIF (Constant) -.574 .208 -2.761 .007
1 KP_MC .431 .078 .434 5.558 .000 .850 1.177 JA 2.033 .416 .381 4.888 .000 .850 1.177 (Constant) -.624 .204 -3.053 .003 KP_MC .346 .084 .348 4.142 .000 .700 1.429
2 JA 1.490 .464 .280 3.211 .002 .652 1.535 KP.JA_MC .480 .199 .231 2.418 .017 .542 1.844
a. Dependent Variable: KK_MC
NPar Tests One-Sample Kolmogorov-Smirnov Test
Standardized Residual
N 107
Mean
0E-7
a,b
Normal Parameters Std. Deviation .98574749 Absolute .075
Most Extreme Differences Positive .067 Negative -.075
Kolmogorov-Smirnov Z .779 Asymp. Sig. (2-tailed) .579 a. Test distribution is Normal.
b. Calculated from data.
Regression a Variables Entered/Removed
Model Variables Entered Variables Method Removed
b
1 JA, KP_MC . Enter
b
2 KP.JA_MC . Enter
a. Dependent Variable: ABSRES2 b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Std. Error of the Square Estimate
a
1 .077 .006 -.013 1.01175
b
2 .191 .036 .008 1.00097
a. Predictors: (Constant), JA, KP_MC
b. Predictors: (Constant), JA, KP_MC, KP.JA_MC
a
ANOVA
Model Sum of Squares df Mean Square F Sig. bRegression .638 2 .319 .312 .733 Residual 106.457 104 1.024
1 Total 107.096 106
c
Regression 3.896 3 1.299 1.296 .280 Residual 103.200 103 1.002
2 Total 107.096 106
a. Dependent Variable: ABSRES2
b. Predictors: (Constant), JA, KP_MC
c. Predictors: (Constant), JA, KP_MC, KP.JA_MC
a
Coefficients
Model Unstandardized Coefficients Standardized t Sig.Coefficients B Std. Error Beta
(Constant) 1.430 .118 12.108 .000
1 KP_MC -.004 .044 -.010 -.094 .925 JA -.162 .236 -.073 -.686 .494 (Constant) 1.451 .117 12.357 .000
2 KP_MC .032 .048 .078 .672 .503 JA .070 .267 .032 .264 .793
KP.JA_MC -.206 .114 -.237 -1.803 .074
a. Dependent Variable: ABSRES2