Lampiran 1
Data Efektivits BPHTB
No Kecamatan
Semester 1 Tahun 2011 Semester 2 Tahun 2011 Semester 1 Tahun 2012 Semester 2 Tahun 2012 Realisasi Potensi % Realisasi Potensi % Realisasi Potensi % Realisasi Potensi %
1 Babahrot Rp 13.149.270 Rp 27.816.000 47,27 Rp 15.900.123 Rp 27.816.000 57,16 Rp 16.957.291 Rp 45.900.000 36,94 Rp 23.205.121 Rp 45.900.000 50,56
2 Blangpidie Rp 19.332.929 Rp 49.801.000 38,82 Rp 19.956.262 Rp 49.801.000 40,07 Rp 24.638.906 Rp 54.000.000 45,63 Rp 21.825.408 Rp 54.000.000 40,42
3 Jeumpa Rp 3.937.482 Rp 57.000.000 6,91 Rp 6.613.911 Rp 57.000.000 11,60 Rp 6.702.532 Rp 45.320.000 14,79 Rp 9.386.628 Rp 45.320.000 20,71
4 Kuala Batee Rp 25.095.136 Rp 31.801.000 78,91 Rp 25.807.564 Rp 31.801.000 81,15 Rp 28.826.410 Rp 50.540.000 57,04 Rp 31.754.984 Rp 50.540.000 62,83
5 Lembah Sabil Rp 9.188.912 Rp 21.000.000 43,76 Rp 8.847.730 Rp 21.000.000 42,13 Rp 10.114.588 Rp 32.300.000 31,31 Rp 13.509.570 Rp 32.300.000 41,83
6 Manggeng Rp 4.824.168 Rp 19.800.000 24,36 Rp 4.959.474 Rp 19.800.000 25,05 Rp 6.960.270 Rp 40.650.000 17,12 Rp 7.756.010 Rp 40.650.000 19,08
7 Setia Rp 2.122.833 Rp 13.600.000 15,61 Rp 1.855.701 Rp 13.600.000 13,64 Rp 2.018.344 Rp 25.000.000 8,07 Rp 2.635.391 Rp 25.000.000 10,54
8 Susoh Rp 24.695.196 Rp 52.240.000 47,27 Rp 27.737.465 Rp 52.240.000 53,10 Rp 30.725.665 Rp 54.300.000 56,59 Rp 37.661.205 Rp 54.300.000 69,36
Lampiran 2
Data Kontribusi BPHTb
No Kecamatan
Semester 1 Tahun 2011 Semester 2 Tahun 2011 Semester 1 Tahun 2012 Semester 2 Tahun 2012
Realisasi PAD % Realisasi PAD % Realisasi PAD % Realisasi PAD %
1 Babahrot Rp 13.149.270 Rp 480.927.807 2,73 Rp 15.900.123 Rp 601.500.100 2,64 Rp 16.957.291 Rp 951.023.100 1,78 Rp 23.205.121 Rp 2.312.005.227 1,00
2 Blangpidie Rp 19.332.929 Rp 1.350.798.200 1,43 Rp 19.956.262 Rp 1.765.805.000 1,13 Rp 24.638.906 Rp 3.360.975.000 0,73 Rp 21.825.408 Rp 5.306.200.203 0,41
3 Jeumpa Rp 3.937.482 Rp 221.781.600 1,78 Rp 6.613.911 Rp 354.521.300 1,87 Rp 6.702.532 Rp 650.672.140 1,03 Rp 9.386.628 Rp 717.020.615 1,31
4 Kuala Batee Rp 25.095.136 Rp 429.200.000 5,85 Rp 25.807.564 Rp 743.925.000 3,47 Rp 28.826.410 Rp 1.457.092.000 1,98 Rp 31.754.984 Rp 1.523.102.251 2,08
5 Lembah Sabil Rp 9.188.912 Rp 245.844.600 3,74 Rp 8.847.730 Rp 428.398.000 2,07 Rp 10.114.588 Rp 776.281.000 1,30 Rp 13.509.570 Rp 852.074.234 1,59
6 Manggeng Rp 4.824.168 Rp 428.325.500 1,13 Rp 4.959.474 Rp 571.345.000 0,87 Rp 6.960.270 Rp 865.231.000 0,80 Rp 7.756.010 Rp 1.016.380.340 0,76
7 Setia Rp 2.122.833 Rp 182.250.000 1,16 Rp 1.855.701 Rp 260.875.054 0,71 Rp 2.018.344 Rp 540.484.221 0,37 Rp 2.635.391 Rp 621.231.372 0,42
8 Susoh Rp 24.695.196 Rp 1.020.350.250 2,42 Rp 27.737.465 Rp 1.230.488.000 2,25 Rp 30.725.665 Rp 2.281.580.200 1,35 Rp 37.661.205 Rp 3.620.430.220 1,04
LAMPIRAN – 3
DESKRIPTIF STATISTIK
DESCRIPTIVES VARIABLES=XI X2 Z Y
/STATISTICS=MEAN STDDEV VARIANCE RANGE MIN MAX SEMEAN.
Descriptives
Notes
Output Created 01-Jul-2013 15:58:41
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working 36
Missing Value Handling Definition of Missing User defined missing values are
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=XI
Resources Processor Time 00:00:00.000
Elapsed Time 00:00:00.000
[DataSet0]
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation Variance
Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic
XI 36 74.24 6.91 81.15 35.6681 3.41098 20.46586 418.851
X2 36 5.48 .37 5.85 1.5711 .18344 1.10064 1.211
Z 36 3998.00 2406.00 6404.00 4.4124E3 2.29759E2 1378.55532 1.900E6
Y 36 5124.00 182.00 5306.00 1.1004E3 1.80606E2 1083.63400 1.174E6
LAMPIRAN - 4
ANALISIS REGRESI BERGANDA H1
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2
/SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID.
Model Variables Entered Variables Removed Method
1 X2, X1a . Enter
a. All requested variables entered. b. Dependent Variable: Y
a. Predictors: (Constant), X2, X1 b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.496E7 2 1.248E7 25.528 .000a
Coefficientsa
Standard Error of Predicted 119.048 478.016 189.211 71.318 36
Adjusted Predicted Value -1.2627E3 3.1696E3 1.0692E3 897.88012 36
Residual -9.88406E2 2.94569E3 .00000 678.97698 36
Std. Residual -1.414 4.213 .000 .971 36
Stud. Residual -1.554 4.442 .020 1.042 36
Deleted Residual -1.19520E3 3.27460E3 3.12031E1 789.87266 36
HASIL UJI NORMALITAS H1
Normal Parametersa Mean .0000000
Std. Deviation 6.78976979E2
Most Extreme Differences Absolute .222
Positive .222
Negative -.143
Kolmogorov-Smirnov Z 1.332
Asymp. Sig. (2-tailed) .058
LAMPIRAN – 5
HASIL UJI GLEJSER H1
COMPUTE AbsUiii=ABS(RES_6). EXECUTE.
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT AbsUiii /METHOD=ENTER X1 X2
/SCATTERPLOT=(*SRESID ,*ZPRED)
LAMPIRAN - 6
ANALISIS REGRESI BERGANDA H2 MODEL I DENGAN MRA
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT Y
/METHOD=ENTER X1 X2 Z /SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID.
Model Variables Entered Variables Removed Method
1 Z, X2, X1a . Enter
a. All requested variables entered. b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.783E7 3 9277902.794 22.381 .000a
Residual 1.327E7 32 414546.373
Total 4.110E7 35
a. Predictors: (Constant), Z, X2, X1 b. Dependent Variable: Y
Predicted Value -7.0331E2 3.0169E3 1.1004E3 891.76724 36
Std. Predicted Value -2.023 2.149 .000 1.000 36
Standard Error of Predicted 123.922 444.202 205.195 63.786 36
Adjusted Predicted Value -9.8989E2 2.8217E3 1.0692E3 928.13030 36
Residual -6.27724E2 2.61545E3 .00000 615.64099 36
Std. Residual -.975 4.062 .000 .956 36
Stud. Residual -1.103 4.376 .021 1.042 36
Deleted Residual -8.03074E2 3.03573E3 3.11403E1 737.98875 36
HASIL UJI NORMALITAS H2 MODEL I DENGAN MRA
Normal Parametersa Mean .0000000
Std. Deviation 6.15640988E2
Most Extreme Differences Absolute .190
Positive .190
Negative -.154
Kolmogorov-Smirnov Z 1.138
Asymp. Sig. (2-tailed) .150
LAMPIRAN - 7
HASIL UJI GLEJSER H2 MODEL I DENGAN MRA
COMPUTE AbsUi=ABS(RES_1). EXECUTE.
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT AbsUi /METHOD=ENTER X1 X2 Z /SCATTERPLOT=(*SRESID ,*ZPRED)
LAMPIRAN – 8
ANALISIS REGRESI BERGANDA H2 MODEL II DENGAN MRA
COMPUTE X1Z=X1 * Z. EXECUTE.
COMPUTE X2Z=X2 * Z. EXECUTE.
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL ZPP /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT Y
/METHOD=ENTER X1 X2 Z X1Z X2Z /SCATTERPLOT=(*SRESID ,*ZPRED)
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 X2Z, Z, X1, X2, X1Za . Enter
a. All requested variables entered. b. Dependent Variable: Y
Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Durbin-Watson
1 .878a .770 .732 561.15243 1.787
a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 3.165E7 5 6330486.182 20.104 .000a
Residual 9446761.396 30 314892.047
Total 4.110E7 35
a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z b. Dependent Variable: Y
Predicted Value -8.7703E2 3.6615E3 1.1004E3 950.97590 36
Std. Predicted Value -2.079 2.693 .000 1.000 36
Standard Error of Predicted 124.630 439.237 214.904 80.488 36
Adjusted Predicted Value -2.8457E3 3.6965E3 1.0497E3 1095.35126 36
Residual -5.02638E2 2.23126E3 .00000 519.52620 36
Std. Residual -.896 3.976 .000 .926 36
Stud. Residual -.978 4.421 .035 1.112 36
Deleted Residual -6.44465E2 3.27467E3 5.06404E1 793.14400 36
Stud. Deleted Residual -.977 7.362 .152 1.580 36
Mahal. Distance .754 20.472 4.861 4.884 36
Cook's Distance .000 3.412 .125 .578 36
Centered Leverage Value .022 .585 .139 .140 36
ANALISIS REGRESI BERGANDA H2 MODEL II DENGAN MRA LN
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT Y
/METHOD=ENTER LNX1 LNX2 LNZ LNX1Z LNX2Z /SCATTERPLOT=(*SRESID ,*ZPRED)
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 LNX2Z, LNZ, LNX1a . Enter
a. Tolerance = ,000 limits reached.
b. Dependent Variable: Y
a. Predictors: (Constant), LNX2Z, LNZ, LNX1
b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.950E7 3 9834330.896 27.138 .000a
Residual 1.160E7 32 362381.238
Total 4.110E7 35
a. Predictors: (Constant), LNX2Z, LNZ, LNX1
b. Dependent Variable: Y
Tolerance VIF Minimum
1 LNX2 .a
. . . .000 . .000
LNX1Z .a
. . . .000 . .000
a. Predictors in the Model: (Constant), LNX2Z, LNZ, LNX1
b. Dependent Variable: Y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value -1.0100E3 3.3798E3 1.1004E3 918.11908 36
Std. Predicted Value -2.299 2.483 .000 1.000 36
Standard Error of Predicted Value 104.828 380.043 192.230 58.367 36
Adjusted Predicted Value -1.8265E3 2.8021E3 1.0573E3 961.90377 36
Residual -8.27194E2 1.92618E3 .00000 575.60402 36
Std. Residual -1.374 3.200 .000 .956 36
Stud. Residual -1.402 3.648 .032 1.070 36
Deleted Residual -8.61532E2 2.50386E3 4.30911E1 728.22153 36
HASIL UJI NORMALITAS H2 MODEL II DENGAN MRA
Normal Parametersa Mean .0000000
Std. Deviation 5.75604021E2
Most Extreme Differences Absolute .173
Positive .173
Negative -.123
Kolmogorov-Smirnov Z 1.036
Asymp. Sig. (2-tailed) .233
LAMPIRAN - 9
HASIL UJI GLEJSER H2 MODEL II DENGAN MRA
COMPUTE AbsUii=ABS(RES_4). EXECUTE.
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT AbsUii
/METHOD=ENTER LNX1 LNX2 LNZ LNX1Z LNX2Z /SCATTERPLOT=(*SRESID ,*ZPRED)
