Universitas Sumatera Utara

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1 LAMPIRAN I LAMPRIAN PDRB Harga Berlaku NO KAB/KOTA Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

2 LAMPIRAN II LAMPIRAN PENGELUARAN DAERAH No Nama Kab/Kota 2005 BD PD TP BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

3 No Nama Kab/Kota 2006 BD PD PENGLRN BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

4 No Nama Kab/Kota 2007 BD PD TP BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

5 No Nama Kab/Kota 2008 BD PD TP BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

6 No Nama Kab/Kota 2009 BD PD TP BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

7 No Nama Kab/Kota 2010 BD PD TP BTL BL Total BD 1 Asahan Dairi Deli Serdang Humbang Hasundutan Karo Langkat Labuhan Batu Mandailing Natal Nias Nias Selatan Pakpak Bharat Simalungun Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Binjai Medan Pematang Siantar Padang Sidempuan Sibolga Tanjung Balai Tebing Tinggi

8 LAMPIRAN III LAMPIRAN PERHITUNGAN DESENTRALISASI FISKAL DF=PAD+DBH/Pengeluaran Daerah PAD DBH Pengeluaran PAD+DBH PAD+DBH/pd x100 Daerah

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12 LAMPIRAN IV LAMPIRAN DATA PENDUKUNG SPSS x1 x2 x3 Z Y N DAU DAK LLPDS DF PE

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16 LAMPIRAN V LAMPIRAN DATA LOG Log x1 x2 x3 Z Y DAU DAK LLPDS DF PE

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20 LAMPIRAN SPSS LAMPIRAN DATA PENDUKUNG SPSS LAMPIRAN DATA REGRESI LINIER AWAL NPar Tests One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 138 Normal Parameters a Mean Std. Deviation E9 Most Extreme Differences Absolute.131 Positive.131 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).018 a. Test distribution is Normal.

21 Regression Descriptive Statistics N Minimum Maximum Sum Mean Std. Deviation DAU DAK LLPDS DF PE Valid N (listwise) 138 Correlations PE DAU DAK LLPDS Pearson Correlation PE DAU DAK LLPDS Sig. (1-tailed) PE DAU DAK LLPDS N PE DAU

22 DAK LLPDS Model Variables Entered/Removed b Variables Entered 1 LLPDS, DAK, DAU a a. All requested variables entered. b. Dependent Variable: PE Variables Removed. Enter Method Model R R Square Adjusted R Square Std. Error of the Estimate Model Summary b Change Statistics R Square Change F Change df1 df2 Sig. F Change Durbin-Watson a E a. Predictors: (Constant), LLPDS, DAK, DAU b. Dependent Variable: PE ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 1.821E E a Residual 6.555E E19 Total 2.476E a. Predictors: (Constant), LLPDS, DAK, DAU b. Dependent Variable: PE

23 Coefficients a Unstandardized Coefficients Standardized Coefficients Correlations Collinearity Statistics Model B Std. Error Beta t Sig. Zero-order Partial Part Tolerance VIF 1 (Constant) E E DAU DAK LLPDS a. Dependent Variable: PE Collinearity Diagnostics a Dimensi Variance Proportions Model on Eigenvalue Condition Index (Constant) DAU DAK LLPDS a. Dependent Variable: PE

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27 LAMPIRAN DATA REGRESI PERSAMAAN LIN-LOG (data LogPE) PE= a+dau + DAK + LLPDYS NPar Tests One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 138 Normal Parameters a Mean Std. Deviation Most Extreme Differences Absolute.111 Positive.111 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).067 a. Test distribution is Normal.

28 Regression Descriptive Statistics Mean Std. Deviation N LogPE DAU DAK LLPDYS Correlations LogPE DAU DAK LLPDYS Pearson Correlation LogPE DAU DAK LLPDYS Sig. (1-tailed) LogPE DAU DAK LLPDYS N LogPE DAU DAK LLPDYS

29 Model Variables Entered/Removed b Variables Entered 1 LLPDYS, DAK, DAU a a. All requested variables entered. b. Dependent Variable: LogPE Variables Removed. Enter Method Model Summary b Std. Error of the Change Statistics Model R R Square Adjusted R Square Estimate R Square Change F Change df1 df2 Sig. F Change Durbin-Watson a a. Predictors: (Constant), LLPDYS, DAK, DAU b. Dependent Variable: LogPE ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), LLPDYS, DAK, DAU b. Dependent Variable: LogPE

30 Model Unstandardized Coefficients Standardized Coefficients Coefficients a Correlations Collinearity Statistics B Std. Error Beta T Sig. Zero-order Partial Part Tolerance VIF 1 (Constant) DAU DAK LLPDYS a. Dependent Variable: LogPE Collinearity Diagnostics a Dimensi Variance Proportions Model on Eigenvalue Condition Index (Constant) DAU DAK LLPDYS a. Dependent Variable: LogPE

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34 LAMPIRAN DATA REGRESI SPSS PERSAMAAN DF=a + DAU +DAK+LLPDYS NPar Tests One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 138 Normal Parameters a Mean Std. Deviation Most Extreme Differences Absolute.101 Positive.101 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).120 a. Test distribution is Normal.

35 Regression Descriptive Statistics Mean Std. Deviation N DF DAU E E8 138 DAK E E7 138 LLPDYS E E7 138 Correlations DF DAU DAK LLPDYS Pearson Correlation DF DAU DAK LLPDYS Sig. (1-tailed) DF DAU DAK LLPDYS N DF DAU DAK LLPDYS

36 Model Variables Entered/Removed b Variables Entered 1 LLPDYS, DAK, DAU a a. All requested variables entered. b. Dependent Variable: DF Variables Removed. Enter Method Model Summary b Std. Error of the Change Statistics Model R R Square Adjusted R Square Estimate R Square Change F Change df1 df2 Sig. F Change Durbin-Watson a a. Predictors: (Constant), LLPDYS, DAK, DAU b. Dependent Variable: DF ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), LLPDYS, DAK, DAU b. Dependent Variable: DF

37 Model Unstandardized Coefficients Standardized Coefficients Coefficients a Correlations Collinearity Statistics B Std. Error Beta t Sig. Zero-order Partial Part Tolerance VIF 1 (Constant) DAU DAK LLPDYS a. Dependent Variable: DF Collinearity Diagnostics a Dimensi Variance Proportions Model on Eigenvalue Condition Index (Constant) DAU DAK LLPDYS a. Dependent Variable: DF

38 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual E Std. Residual Stud. Residual Deleted Residual E Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: DF

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42 LAMPIRAN DATA REGRESI SPSS PERSAMAAN Moderating Residual ABS = a + PE Regression Descriptive Statistics Mean Std. Deviation N ABSresd PE E E Correlations ABSresd PE Pearson Correlation ABSresd PE Sig. (1-tailed) ABSresd..000 PE.000. N ABSresd PE Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 PE a. Enter a. All requested variables entered.

43 Model Variables Entered/Removed b Variables Entered Variables Removed 1 PE a. Enter b. Dependent Variable: ABSresd Method Model Summary b Change Statistics Std. Error of the Model R R Square Adjusted R Square Estimate R Square Change F Change df1 df2 Sig. F Change Durbin-Watson a a. Predictors: (Constant), PE b. Dependent Variable: ABSresd ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), PE b. Dependent Variable: ABSresd

44 Coefficients a Model Unstandardized Coefficients Standardized Coefficients Correlations Collinearity Statistics B Std. Error Beta t Sig. Zero-order Partial Part Tolerance VIF 1 (Constant) PE a. Dependent Variable: ABSresd Collinearity Diagnostics a Dimensi Variance Proportions Model on Eigenvalue Condition Index (Constant) PE a. Dependent Variable: ABSresd Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: ABSresd