Lampiran 1 Laporan Keuangan Perbankan Syariah di Indonesia Periode 2013-2016 (dalam persentase)
Lampiran 1 Laporan Keuangan Perbankan Syariah di Indonesia Periode 2013-2016 (dalam persentase) Laba Bersih Setelah Total Aktiva Pajak (dalam miliar (dalam miliar Return On
Tahun Bulan rupiah) rupiah) Assets
Januari 9.652 195.0182.52 Februari 20.705 196.988
2.29 Maret 31.583 209.603
2.39 April
2.29
44.631 207.800
Mei 54.723 215.444
2.07 2013 Juni 66.573 218.566
2.1 Juli 71.178 219.183
2.02 Agustus 65.313 223.503
2.01 September 88.973 227.711
2.04 Oktober
1.94
104.350 229.557
November 118.136 233.130
1.96 Desember 129.280 242.276
2 Januari 305.000 5.840.487
0.08 Februari 531.000 5.898.585
0.13 Maret 817.000 5.958.901
0.16 April
1.09
1.037.000 5.946.018
Mei 1.231.000 5.936.854
1.13 2014 Juni 1.471.000 5.932.511
1.12 Juli 1.613.000 5.934.073
1.05 Agustus 1.665.000 6.082.640
0.93 September 1.977.000 6.150.274
0.97 Oktober
0.92
1.825.000 6.266.436
November 1.831.000 6.342.831
0.87 Desember 1.004.000 6.573.331
0.8 Januari 225.000 197.385
0.88 Februari 428.000 197.854
0.78 Maret 681.000 198.553
0.69 April 876.000
0.62 198.151
Mei 1.103.000 200.416
0.63 2015 Juni 1.070.000 200.217
0.5 Juli 1.254.000 200.797
0.5 Agustus 1.433.000
0.46 200.080
September 1.715.000 204.025
0.49 Oktober 1.921.000 201.427
0.51 November 2.107.000 203.848
0.52 Desember 1.786.000 213.423
0.49 Januari 284.000 209.613
2.08 Februari 545.000 210.592
2.08 Maret 822.000 213.061
2.27 April 939.000 212.298
1.87 Mei 686.000 211.358
2.06 2016 Juni 1.426.000 216.118
2.09 Juli 1.584.000 217.479
2.16 Agustus 1.654.000 216.766
2.22 September 2.024.000 241.937
2.23 Oktober 2.123.000 241.629
2.35 November 2.771.000 246.361
2.34 Desember 2.096.000 254.184
1.77 Sumber: www.ojk.go.id , data diolah, 2017
Lampiran 2 Laporan Perkembangan Realisasi Inflasi, Suku Bunga BI dan Jumlah Uang Beredar periode 2013-2016 (dalam persentase) Tahun Bulan Inflasi Suku Bunga BI Jumlah uang Beredar
Juni 6.70% 7.50% 13.1% Juli 4.53% 7.50%
12.7% Agustus 7.18% 7.50%
Juni 7.26% 7.50% 13% Juli 7.26% 7.50%
6.79% 7.50% 14.9% Mei 7.15% 7.50% 13.4%
6.38% 7.50% 16.3% April
14.3% Februari 6.29% 7.50% 16.1% Maret
Januari 6.96% 7.75%
8.36% 7.75% 11.8% 2015
6.23% 7.75% 12.7% Desember
11% September 4.53% 7.50% 11.7% Oktober 4.83% 7.50% 12.5% November
11% Agustus 3.99% 7.50%
7.25% 7.50% 11% Mei 7.32% 7.50% 10.5%
2013 Januari 4.57% 5.75%
7.32% 7.50% 10% April
11.6% Februari 7.75% 7.50% 10.9% Maret
2014 Januari 8.22% 7.50%
8.38% 7.50% 12.7%
8.37% 7.50% 12.7% Desember
10.09% September 8.40% 7.25% 14.6% Oktober 8.32% 7.25% 13% November
10.30% Agustus 8.79% 7.00%
Juni 5.90% 6.00% 10.51% Juli 8.61% 6.50%
5.57% 5.75% 11% Mei 5.47% 5.75% 10.72%
5.90% 5.75% 11.23% April
11.8% Februari 5.31% 5.75% 10.9% Maret
13.3% September 6.83% 7.50%
12.7% Oktober 6.25% 7.50% 10.4% November 4.89% 7.50% 9.2% Desember
3.35% 7.50% 8.9% Januari
4.14% 7.25% 7.7% 2016
Februari 4.42% 7.00% 7.2% Maret 4.45% 6.75% 7.4% April 3.60%
6.75% 7.1% Mei
3.33% 6.75% 7.6% Juni 3.45% 6.50% 8.7%
Juli 3.21% 6.50% 8.1% Agustus 2.79%
5.25% 7.7% September
3.07% 5.00% 5.1% Oktober 3.31%
4.75% 7.5% November 3.58% 4.75%
9.3% Desember 3.02%
4.75% 10.3%
Sumber: www.bi.go.id , data diolah, 2017.
Lampiran 3 Tabulasi Data Penelitian atau Sampel dari variabel Inflasi, Suku Bunga BI, Jumlah Uang Beredar dan Profitabilitas Perbankan Syariah berdasarkan rasio ROA (Return On Asset) input ke SPSS
INFLASI_X1 BI_RATE_X2 JUB_X3 ROA_Y
5.75
11.7
0.8
11.8
7.75
8.36
0.87
12.7
7.75
6.23
0.92
12.5
7.5
4.83
0.97
7.5
7.75
4.53
0.93
11
7.5
3.99
1.05
11
7.5
4.53
1.12
13.1
7.5
6.7
6.96
14.3
10.5
13.4
0.46
13.3
7.5
7.18
0.5
12.7
7.5
7.26
0.5
13
7.5
7.26
0.63
7.5
0.88
7.15
0.62
14.9
7.5
6.79
0.69
16.3
7.5
6.38
0.78
16.1
7.5
6.29
1.13
7.5
11.8
5.75
10.09
7
8.79
2.02
10.3
6.5
8.61
2.1
10.51
6
5.9
2.07
10.72
5.47
8.4
2.29
11
5.75
5.57
2.39
11.23
5.75
5.9
2.29
10.9
5.75
5.31
2.52
2.01
7.25
4.57
11.6
1.09
11
7.5
7.25
0.16
10
7.5
7.32
0.13
10.9
7.5
7.75
0.08
7.5
14.6
8.22
2
12.7
7.5
8.38
1.96
12.7
7.5
8.37
1.94
13
7.25
8.32
2.04
7.32
6.25
5
6.5
8.7
2.09
3.21
6.5
8.1
2.16
2.79
5.2
7.7
2.22
3.07
5.1
2.06
2.23
3.31
4.75
7.5
2.35
3.58
4.75
9.3
2.34
3.02
4.75
10.3
3.45
7.6
7.5
7.7
10.4
0.51
4.89
7.5
9.2
0.52
3.35
7.5
8.9
0.49
4.14
7.25
2.08
6.75
4.42
7
7.2
2.08
4.45
6.75
7.4
2.27
3.6
6.75
7.1
1.87
3.33
1.77 Sumber: Input Spss 22, data diolah, 2017
Lampiran 4 Hasil Perhitungan Output SPSS Frequencies
INFLASI_X1 BI_RATE_X2 JUB_X3 ROA_Y N Valid
48
48
48
48 Missing Mean
5.8246 6.8844 10.9635 1.4056 Median
6.0650 7.5000 11.0000 1.4500
a a
Mode
4.53
7.50 12.70 .49 Std. Deviation
1.84793 .91280 2.46872 .77446 Variance
3.415 .833 6.095 .600 Skewness
- .071 -1.207 -.065 -.160 Std. Error of
.343 .343 .343 .343 Skewness Kurtosis
- 1.311 .173 -.198 -1.610 Std. Error of Kurtosis .674 .674 .674 .674
Range
6.00
3.00
11.20
2.44 Minimum
2.79
4.75 5.10 .08 Maximum
8.79
7.75
16.30
2.52 Sum 279.58 330.45 526.25
67.47 Percentiles
25 4.2100 6.5000 9.2250 .6450
50 6.0650 7.5000 11.0000 1.4500
75 7.2600 7.5000 12.7000 2.0875
a. Multiple modes exist. The smallest value is shown
Frequency Table
INFLASI_X1
Cumulative Frequency Percent Valid Percent Percent
Valid
2.79
1
2.1
2.1
2.1
3.02
1
2.1
2.1
4.2
3.07
1
2.1
2.1
6.3
3.21
1
2.1
2.1
8.3
3.31
1
2.1
2.1
10.4
3.33
1
2.1
2.1
12.5
3.35
1
2.1
2.1
14.6
3.58
7.25
2.1
2.1
68.8
7.18
1
2.1
2.1
70.8
1
7.15
2.1
2.1
72.9
7.26
2
4.2
4.2
77.1
1
66.7
2
2.1
6.70
1
2.1
2.1
60.4
6.79
1
2.1
62.5
2.1
6.83
1
2.1
2.1
64.6
6.96
1
2.1
7.32
4.2
2.1
93.8
1
2.1
2.1
91.7
8.38
1
2.1
2.1
8.40
89.6
1
2.1
2.1
95.8
8.61
1
2.1
2.1
8.37
2.1
4.2
2.1
81.3
7.75
1
2.1
2.1
83.3
8.22
1
2.1
2.1
85.4
8.32
1
2.1
2.1
87.5
8.36
1
58.3
2.1
1
4.2
27.1
4.45
1
2.1
2.1
29.2
4.53
2
4.2
2.1
33.3
4.57
1
2.1
2.1
35.4
4.83
1
2.1
1
2.1
3.99
2.1
2.1
18.8
3.60
1
2.1
2.1
20.8
1
4.42
2.1
2.1
22.9
4.14
1
2.1
2.1
25.0
2.1
37.5
1
1
4.2
50.0
6.23
1
2.1
2.1
52.1
6.25
2.1
2
2.1
54.2
6.29
1
2.1
2.1
56.3
6.38
4.2
5.90
4.89
41.7
1
2.1
2.1
39.6
5.31
1
2.1
2.1
5.47
45.8
1
2.1
2.1
43.8
5.57
1
2.1
2.1
97.9
8.79
1
2.1 2.1 100.0 Total 48 100.0 100.0
BI_RATE_X2
Cumulative Frequency Percent Valid Percent Percent
Valid
4.75
3
6.3
6.3
6.3
5.00
1
2.1
2.1
8.3
5.20
1
2.1
2.1
10.4
5.75
5
10.4
10.4
20.8
6.00
1
2.1
2.1
22.9
6.50
3
6.3
6.3
29.2
6.75
3
6.3
6.3
35.4
7.00
2
4.2
4.2
39.6
7.25
3
6.3
6.3
45.8
7.50
23
47.9
47.9
93.8
7.75
3
6.3 6.3 100.0 Total 48 100.0 100.0
JUB_X3
Cumulative Frequency Percent Valid Percent Percent
Valid
5.10
1
2.1
2.1
2.1
7.10
1
2.1
2.1
4.2
7.20
1
2.1
2.1
6.3
7.40
1
2.1
2.1
8.3
7.50
1
2.1
2.1
10.4
7.60
1
2.1
2.1
12.5
7.70
2
4.2
4.2
16.7
8.10
1
2.1
2.1
18.8
8.70
1
2.1
2.1
20.8
8.90
1
2.1
2.1
22.9
9.20
1
2.1
2.1
25.0
10.00
87.5
2.1
2.1
1
14.60
91.7
2.1
2.1
1
14.30
89.6
2.1
2.1
1
13.40
2.1
14.90
83.3
10.4
79.2
13.00
2
4.2
4.2
13.10
2.1
1
2.1
2.1
85.4
13.30
1
93.8
1
5
1
2.1
4.2 .16
1
2.1
2.1
6.3 .46
2.1
1
2.1
8.3 .49
2
4.2
4.2
12.5
2.1
2.1 .13
2.1
97.9
2.1
95.8
16.10
1
2.1
2.1
16.30
2.1
1
2.1 2.1 100.0 Total 48 100.0 100.0
Frequency Percent Valid Percent Cumulative
Percent Valid .08
1
2.1
10.4
12.70
1
2.1
2.1
1
10.72
41.7
2.1
2.1
1
10.51
39.6
2.1
2.1
1
10.50
37.5
2.1
43.8
2.1
2.1
2.1
29.2
10.09
1
2.1
31.3
1
10.30
2
4.2
4.2
35.4
10.40
2.1
10.90
68.8
2
11.70
1
2.1
2.1
62.5
11.80
4.2
2.1
4.2
66.7
12.50
1
2.1
2.1
60.4
2.1
2
8.3
4.2
4.2
47.9
11.00
4
8.3
56.3
1
11.23
1
2.1
2.1
58.3
11.60
ROA_Y
.51
68.8
2.1
2.1
66.7
2.06
1
2.1
2.1
2.07
2.04
1
2.1
2.1
70.8
2.08
2
4.2
1
64.6
75.0
2.1
1
2.1
2.1
58.3
2.00
1
2.1
60.4
2.1
2.01
1
2.1
2.1
62.5
2.02
1
2.1
4.2
2.09
56.3
2.29
2.1
85.4
2.27
1
2.1
2.1
87.5
2
1
4.2
4.2
91.7
2.34
1
2.1
2.1
2.1
2.23
1
79.2
2.1
2.1
77.1
2.10
1
2.1
2.1
2.16
83.3
1
2.1
2.1
81.3
2.22
1
2.1
2.1
1.96
2.1
1
2.1
2.1
29.2 .80
1
2.1
2.1
31.3 .87
1
2.1
1
33.3 .88
1
2.1
2.1
35.4 .92
1
2.1
2.1
27.1 .78
37.5 .93
1
2.1
2.1
18.8 .52
1
2.1
2.1
20.8 .62
2.1
2.1
2.1
22.9 .63
1
2.1
2.1
25.0 .69
1
2.1
2.1
1
2.1
2.1
1.13
1
2.1
2.1
50.0
1.77
1
2.1
2.1
52.1
1.87
1
2.1
2.1
54.2
1.94
1
47.9
2.1
2.1
1
2.1
39.6 .97
1
2.1
2.1
41.7
1.05
2.1
1
2.1
43.8
1.09
1
2.1
2.1
45.8
1.12
93.8
2.35
1
2.1
2.1
95.8
2.39
1
2.1
2.1
97.9
2.52
1
2.1 2.1 100.0 Total 48 100.0 100.0
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT ROA_Y /METHOD=ENTER INFLASI_X1 BI_RATE_X2 JUB_X3 /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID) /SAVE RESID.
Regression a Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 JUB_X3, BI_RATE_X2, . Enter
b
INFLASI_X1
a. Dependent Variable: ROA_Y b. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .743 .553 .522 .53533 .686
a. Predictors: (Constant), JUB_X3, BI_RATE_X2, INFLASI_X1
b. Dependent Variable: ROA_Y
a
ANOVA
Model Sum of Squares Df Mean Square F Sig. b1 Regression 15.581 3 5.194 18.123 .000 Residual 12.609 44 .287 Total 28.190
47
a. Dependent Variable: ROA_Y
b. Predictors: (Constant), JUB_X3, BI_RATE_X2, INFLASI_X1
Coefficientsa Standardiz ed
Unstandardized Coefficient Coefficients s Collinearity Statistics
Std. Toleranc Model B Error Beta t Sig. e
VIF 1 (Constant) 5.868 .615 9.542 .000
INFLASI_X1 .063 .059 .150 1.061 .295 .510 1.959
BI_RATE_X2
- .597 .107 -.704 -5.596 .000 .643 1.555 JUB_X3
- .065 .043 -.209 -1.537 .131 .551 1.813
a. Dependent Variable: ROA_Y
a Collinearity Diagnostics
Variance Proportions Mo Condition del Eigenvalue Index (Constant)
INFLASI_X1 BI_RATE_X2 JUB_X3 1 1 3.923 1.000 .00 .00 .00 .00
2 .051 8.777 .10 .53 .02 .00
3 .019 14.191 .05 .33 .03 .99
4 .007 23.781 .85 .14 .95 .00
a. Dependent Variable: ROA_Y
a
Residuals Statistics Std.Minimum Maximum Mean Deviation N Predicted Value
.7236 2.7488 1.4056 .57576
48 Std. Predicted Value
- 1.185 2.333 .000 1.000
48 Standard Error of Predicted Value
.099 .227 .151 .034
48 Adjusted Predicted Value
.7219 2.8431 1.4067 .58905
48 Residual
- 1.06670 .92919 .00000 .51796
48 Std. Residual
- 1.993 1.736 .000 .968
48 Stud. Residual
- 2.065 1.813 -.001 1.010
48 Deleted Residual Stud. Deleted Residual
- 2.148 1.863 -.003 1.027
48 Mahal. Distance .628 7.468 2.938 1.815
48 Cook's Distance .000 .141 .023 .029
48 Centered Leverage Value
.013 .159 .063 .039
48
a. Dependent Variable: ROA_Y
Charts
NPAR TESTS
/K-S(NORMAL)=RES_1 /MISSING ANALYSIS.
NPar Tests
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
48
a,b
Normal Parameters Mean .0000000 Std. Deviation .51796127
Most Extreme Differences Absolute .098 Positive .080
Negative -.098 Test Statistic .098
c,d
Asymp. Sig. (2-tailed) .200 a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
d. This is a lower bound of the true significance.
NONPAR CORR
/VARIABLES=INFLASI_X1 BI_RATE_X2 JUB_X3 ABS_RES RES_1 /PRINT=SPEARMAN TWOTAIL NOSIG /MISSING=PAIRWISE.
Nonparametric Correlations
Correlations
ABS Unstandard
INFLAS BI_RAT _RE ized I_X1 E_X2 JUB_X3 S Residual
Spear
INFLASI_X1 Correlatio man's n
1.000 .528 .608 .116 .016 rho Coefficie nt Sig. (2-
.000 .000 .433 .913 tailed) N
48
48
48
48
48 BI_RATE_X2 Correlatio n .528 1.000 .580 -.106 -.233
Coefficie nt Sig. (2-
.000 .000 .474 .111 tailed) N
48
48
48
48
48 JUB_X3 Correlatio n
.608 .580 1.000 -.203 -.008 Coefficie nt Sig. (2-
.000 .000 .165 .958 tailed) N
48
48
48
48
48 ABS_RES Correlatio n
1.00 .116 -.106 -.203 -.006
Coefficie nt Sig. (2-
.433 .474 .165 .969 tailed) N
48
48
48
48
48 Unstandardized Correlatio Residual n
.016 -.233 -.008 -.006 1.000 Coefficie nt Sig. (2-
.913 .111 .958 .969 tailed) N
48
48
48
48
48 **. Correlation is significant at the 0.01 level (2-tailed).
DAFTAR RIWAYAT HIDUP
Nama : Liza Pera Tempat, Tanggal Lahir : Palembang, 10 November 1994 Jenis Kelamin : Perempuan Agama : Islam Pendidikan Terakhir : S1 (Sarjana Ekonomi) Alamat : Jl. Berok Ulu 1, Sungaiselan, Bangka Tengah No. Telp / HP : 0821 7773 8395 E-mail : veraliza11@yahoo.com Pendidikan Formal 1. 2013-2017 : Universitas Bangka Belitung (Fakultas Ekonomi, Program Studi Manajemen),Balunijuk 2. 2010-2013 : SMKN 1 Pangkalpinang 3. 2007-2010 : SMP PGRI 2 Pangkalpinang 4. 2001-2007 : SDN 17 Sungaiselan, Bangka Tengah