Lampiran 1 Data Efektivits BPHTB
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1 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 Rp ,27 Rp Rp ,16 Rp Rp ,94 Rp Rp ,56 2 Blangpidie Rp Rp ,82 Rp Rp ,07 Rp Rp ,63 Rp Rp ,42 3 Jeumpa Rp Rp ,91 Rp Rp ,60 Rp Rp ,79 Rp Rp ,71 4 Kuala Batee Rp Rp ,91 Rp Rp ,15 Rp Rp ,04 Rp Rp ,83 5 Lembah Sabil Rp Rp ,76 Rp Rp ,13 Rp Rp ,31 Rp Rp ,83 6 Manggeng Rp Rp ,36 Rp Rp ,05 Rp Rp ,12 Rp Rp ,08 7 Setia Rp Rp ,61 Rp Rp ,64 Rp Rp ,07 Rp Rp ,54 8 Susoh Rp Rp ,27 Rp Rp ,10 Rp Rp ,59 Rp Rp ,36 9 Tangan-Tangan Rp Rp ,69 Rp Rp ,99 Rp Rp ,87 Rp Rp ,87
2 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 Rp ,73 Rp Rp ,64 Rp Rp ,78 Rp Rp ,00 2 Blangpidie Rp Rp ,43 Rp Rp ,13 Rp Rp ,73 Rp Rp ,41 3 Jeumpa Rp Rp ,78 Rp Rp ,87 Rp Rp ,03 Rp Rp ,31 4 Kuala Batee Rp Rp ,85 Rp Rp ,47 Rp Rp ,98 Rp Rp ,08 5 Lembah Sabil Rp Rp ,74 Rp Rp ,07 Rp Rp ,30 Rp Rp ,59 6 Manggeng Rp Rp ,13 Rp Rp ,87 Rp Rp ,80 Rp Rp ,76 7 Setia Rp Rp ,16 Rp Rp ,71 Rp Rp ,37 Rp Rp ,42 8 Susoh Rp Rp ,42 Rp Rp ,25 Rp Rp ,35 Rp Rp ,04 9 Tangan-Tangan Rp Rp ,10 Rp Rp ,92 Rp Rp ,75 Rp Rp ,59
3 LAMPIRAN 3 DESKRIPTIF STATISTIK DESCRIPTIVES VARIABLES=XI X2 Z Y /STATISTICS=MEAN STDDEV VARIANCE RANGE MIN MAX SEMEAN. Descriptives Notes Output Created 01-Jul :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: Elapsed Time 00:00: [DataSet0] Descriptive Statistics N Range Minimum Maximum Mean Std. Deviation Variance Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic XI X Z E E E6 Y E E E6 Valid N 36
4 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. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N LAMPIRAN - 4 ANALISIS REGRESI BERGANDA H1 Y E X X Correlations Y X1 X2 Pearson Correlation Y X X Sig. (1-tailed) Y X X N Y X X Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 X2, X1 a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson a a. Predictors: (Constant), X2, X1 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.496E E a Residual 1.614E Total 4.110E7 35 a. Predictors: (Constant), X2, X1
5 Model Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF 1 (Constant) X X2 a. Dependent Variable: Y Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value E E E Std. Predicted Value Standard Error of Predicted Adjusted Predicted Value E E E Residual E E Std. Residual Stud. Residual Deleted Residual E E E Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Y Charts
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7 NPAR TESTS /K-S(NORMAL)=RES_6 /MISSING ANALYSIS. HASIL UJI NORMALITAS H1 NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean Std. Deviation E2 Most Extreme Differences Absolute.222 Positive.222 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).058 a. Test distribution is Normal.
8 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) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] LAMPIRAN 5 HASIL UJI GLEJSER H1 Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Constan X X a. Dependent Variable: AbsUiii
9 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. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y E X X Z E Correlations Y X1 X2 Z Pearson Correlation Y X X Z Sig. (1-tailed) Y X X Z N Y X X Z Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 Z, X2, X1 a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson a a. Predictors: (Constant), Z, X2, X1
10 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.783E a Residual 1.327E Total 4.110E7 35 a. Predictors: (Constant), Z, X2, X1 Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Consta X X Z a. Dependent Variable: Y Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value E E E Std. Predicted Value Standard Error of Predicted Adjusted Predicted Value E E E Residual E E Std. Residual Stud. Residual Deleted Residual E E E Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Y Charts
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12 HASIL UJI NORMALITAS H2 MODEL I DENGAN MRA NPAR TESTS /K-S(NORMAL)=RES_1 /MISSING ANALYSIS. NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean Std. Deviation E2 Most Extreme Differences Absolute.190 Positive.190 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).150 a. Test distribution is Normal.
13 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) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Coefficients a Model 1 (Consta nt) Unstandardized Coefficients Standardized Coefficients Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF X X Z a. Dependent Variable: AbsUi
14 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) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y E X X Z E X1Z E E5 36 X2Z E Correlations Y X1 X2 Z X1Z X2Z Pearson Correlation Y X X Z X1Z X2Z Sig. (1-tailed) Y X X Z X1Z X2Z N Y X X Z X1Z X2Z
15 Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 X2Z, Z, X1, X2, X1Z a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Durbin-Watson a a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 3.165E a Residual Total 4.110E7 35 a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z Coefficients a Correlations Unstandardized Standardized Collinearity Statistics Partial B Std. Error Beta T Sig. Tolerance VIF (Constant) X X Z X1Z X2Z a. Dependent Variable: Y Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value E E E Std. Predicted Value Standard Error of Predicted Adjusted Predicted Value E E E Residual E E Std. Residual Stud. Residual Deleted Residual E E E Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Y
16 Charts
17 ANALISIS REGRESI BERGANDA H2 MODEL II DENGAN MRA LN COMPUTE LNX1=LN(X1). EXECUTE. COMPUTE LNX2=LN(X2). EXECUTE. COMPUTE LNZ=LN(Z). EXECUTE. COMPUTE LNX1Z=LN(X1Z). EXECUTE. COMPUTE LNX2Z=LN(X2Z). EXECUTE. 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 LNX1 LNX2 LNZ LNX1Z LNX2Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y E LNX LNX LNZ LNX1Z LNX2Z Correlations Y LNX1 LNX2 LNZ LNX1Z LNX2Z Pearson Correlation Y LNX LNX LNZ LNX1Z LNX2Z Sig. (1-tailed) Y LNX LNX LNZ LNX1Z LNX2Z N Y LNX LNX LNZ LNX1Z LNX2Z
18 Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 LNX2Z, LNZ, LNX1 a. Enter a. Tolerance =,000 limits reached. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson a a. Predictors: (Constant), LNX2Z, LNZ, LNX1 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.950E a Residual 1.160E Total 4.110E7 35 a. Predictors: (Constant), LNX2Z, LNZ, LNX1 Model Coefficients a Unstandardized Standardized Collinearity Statistics B Std. Error Beta T Sig. Tolerance VIF 1 (Constant) LNX LNZ LNX2Z a. Dependent Variable: Y Excluded Variables b Collinearity Statistics Model Beta In t Sig. Partial Correlation Tolerance VIF Minimum 1 LNX2. a LNX1Z. a a. Predictors in the Model: (Constant), LNX2Z, LNZ, LNX1 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value E E E Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value E E E Residual E E Std. Residual Stud. Residual Deleted Residual E E E Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Y
19 Charts
20 HASIL UJI NORMALITAS H2 MODEL II DENGAN MRA NPAR TESTS /K-S(NORMAL)=RES_4 /MISSING ANALYSIS. NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean Std. Deviation E2 Most Extreme Differences Absolute.173 Positive.173 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).233 a. Test distribution is Normal.
21 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) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta T Sig. Tolerance VIF 1 (Constant) LNX LNZ LNX2Z a. Dependent Variable:
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