LAMPIRAN I FORMULIR SURVEI
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1 LAMPIRAN I FORMULIR SURVEI 56 Universitas Kristen Maranatha
2 L.1.1 FORMULIR SURVEI KEBISINGAN LALULINTAS Lokasi : Cuaca : Hari/Tanggal : Surveyor : Periode / menit Kebisingan 57 Universitas Kristen Maranatha
3 L.1.2 FORMULIR SURVEI VOLUME LALULINTAS Lokasi : Cuaca : Hari/Tanggal : Surveyor : Periode / 5 menitan Jenis Kendaraan MC LV HV UMC 58 Universitas Kristen Maranatha
4 Periode / 5 menitan L.1.3 FORMULIR SURVEI KECEPATAN LALULINTAS Lokasi : Cuaca : Hari/Tanggal : Surveyor : Jarak pengamatan : 50 meter Waktu Tempuh Kendaraan (detik) MC LV HV Universitas Kristen Maranatha
5 Periode / 5 menitan Waktu Tempuh Kendaraan (detik) MC LV HV Universitas Kristen Maranatha
6 Periode / 5 menitan Waktu Tempuh Kendaraan (detik) MC LV HV Universitas Kristen Maranatha
7 LAMPIRAN II DATA SURVEI VOLUME LALULINTAS 62 Universitas Kristen Maranatha
8 L.2.1 Volume Lalulintas per 5 menit pagi arah Kopo-Soreang Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
9 L.2.2 Volume Lalulintas per 5 menit pagi arah Soreang-Kopo Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
10 L.2.3 Volume Lalulintas per 5 menit siang arah Kopo-Soreang Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
11 L.2.4 Volume Lalulintas per 5 menit siang arah Soreang-Kopo Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
12 L.2.5 Volume Lalulintas per 5 menit sore arah Kopo-Soreang Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
13 L.2.6 Volume Lalulintas per 5 menit sore arah Soreang-Kopo Pukul Periode MC LV HV UMC (kend) (kend) (kend) (kend) (kend) Universitas Kristen Maranatha
14 LAMPIRAN III DATA SURVEI KECEPATAN LALULINTAS 69 Universitas Kristen Maranatha
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34 L.3.4 Kecepatan lalulintas per 5 menit pada pagi hari Pukul Periode Kecepatan (km/jam) MC LV HV Universitas Kristen Maranatha
35 L.3.5 Kecepatan lalulintas per 5 menit pada siang hari Pukul Periode Kecepatan (km/jam) MC LV HV Universitas Kristen Maranatha
36 L.3.6 Kecepatan lalulintas per 5 menit pada sore hari Pukul Periode Kecepatan (km/jam) MC LV HV Universitas Kristen Maranatha
37 L.3.7 Kecepatan Lalulintas Per Jam Pagi Arah Kopo-Soreang MC LV HV Periode (km/jam) (km/jam) (km/jam) L.3.8 Kecepatan Lalulintas Per Jam Siang Arah Kopo-Soreang Periode MC (km/jam) LV (km/jam) HV (km/jam) Universitas Kristen Maranatha
38 L.3.9 Kecepatan Lalulintas Per Jam Sore Arah Soreang-Kopo Periode MC (km/jam) LV (km/jam) HV (km/jam) Universitas Kristen Maranatha
39 LAMPIRAN IV DATA SURVEI KEBISINGAN 93 Universitas Kristen Maranatha
40 L.4.1 Kebisingan lalulintas per 5 menit pada pagi hari Pukul Periode Kebisingan db (A) Kebisingan terkoreksi db (A) Universitas Kristen Maranatha
41 L.4.2 Kebisingan lalulintas per 5 menit pada siang hari Pukul Periode Kebisingan db (A) Kebisingan terkoreksi db (A) Universitas Kristen Maranatha
42 L.4.3 Kebisingan lalulintas per 5 menit pada sore hari Pukul Periode Kebisingan db (A) Kebisingan terkoreksi db (A) Universitas Kristen Maranatha
43 L.4.4 Kebisingan Lalulintas Per Jam Pagi Periode Kebisingan db(a) L.4.5 Kebisingan Lalulintas Per Jam Siang Periode Kebisingan db(a) Universitas Kristen Maranatha
44 L.4.6 Kebisingan Lalulintas Per Jam Sore Periode Kebisingan db(a) Universitas Kristen Maranatha
45 LAMPIRAN V OUTPUT ANALISIS REGRESI DENGAN SPSS 99 Universitas Kristen Maranatha
46 L.5.1 Output SPSS dengan kebisingan lalulintas di tepi Jalan Terusan Kopo Model Variables Entered/Removed Variables Entered Variables Removed 1 X4, X2, X1, X3 a. Enter a. All requested variables entered. Model Summary Model R R Square Adjusted R Square Method Std. Error of the Estimate a a. Predictors: (Constant), X4, X2, X1, X3 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), X4, X2, X1, X3 b. Dependent Variable: Y Model Coefficients a Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) X X X X a. Dependent Variable: Y Model Variables Entered Variables Entered/Removed a Variables Removed Method 1 X1. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). 2 X3. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). 3 X4. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). 4 X2. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). a. Dependent Variable: Y 100 Universitas Kristen Maranatha
47 Model R R Square Model Summary Adjusted R Square Std. Error of the Estimate a b c d a. Predictors: (Constant), X1 b. Predictors: (Constant), X1, X3 c. Predictors: (Constant), X1, X3, X4 d. Predictors: (Constant), X1, X3, X4, X2 ANOVA e Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total Regression b Residual Total Regression c Residual Total Regression d Residual Total a. Predictors: (Constant), X1 b. Predictors: (Constant), X1, X3 c. Predictors: (Constant), X1, X3, X4 d. Predictors: (Constant), X1, X3, X4, X2 e. Dependent Variable: Y 101 Universitas Kristen Maranatha
48 Model Coefficients a Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) X (Constant) X X (Constant) X X X (Constant) X X X X a. Dependent Variable: Y Model Excluded Variables d Beta In t Sig. Partial Correlation Collinearity Statistics Tolerance 1 X2.451 a X a X a X2.232 b X4.469 b X2.173 c a. Predictors in the Model: (Constant), X1 b. Predictors in the Model: (Constant), X1, X3 c. Predictors in the Model: (Constant), X1, X3, X4 d. Dependent Variable: Y Model Variables Entered Variables Removed Method 1 X1. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). 2 X2. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). 3 X4. Stepwise (Criteria: Probability-of-F-to-enter <=.050, Probability-of-F-to-remove >=.100). a. Dependent Variable: Y 102 Universitas Kristen Maranatha
49 Model R R Square Model Summary Adjusted R Square Std. Error of the Estimate a b c a. Predictors: (Constant), X1 b. Predictors: (Constant), X1, X2 c. Predictors: (Constant), X1, X2, X4 ANOVA d Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total Regression b Residual Total Regression c Residual Total a. Predictors: (Constant), X1 b. Predictors: (Constant), X1, X2 c. Predictors: (Constant), X1, X2, X4 d. Dependent Variable: Y Model Coefficients a Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) X (Constant) X X (Constant) X X X a. Dependent Variable: Y 103 Universitas Kristen Maranatha
50 Model Excluded Variables c Beta In t Sig. Partial Correlation Collinearity Statistics Tolerance 1 X2.451 a X a X b a. Predictors in the Model: (Constant), X1 b. Predictors in the Model: (Constant), X1, X2 c. Dependent Variable: Y 104 Universitas Kristen Maranatha
. Enter. Model Summary b. Std. Error. of the. Estimate. Change. a. Predictors: (Constant), Emphaty, reliability, Assurance, responsive, Tangible
LAMPIRAN Variables Entered/Removed b Variables Model Variables Entered Removed Method 1 Emphaty, reliability, Assurance, responsive, Tangible a. Enter a. All requested variables entered. b. Dependent Variable:
TRY OUT 30 Responden Variabel Kompetensi/ x1
1 TRY OUT 30 Responden Variabel Kompetensi/ x1 Case Processing Summary N % 30 100.0 Cases Excluded a 0.0 Total 30 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics
HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES
139 HASIL OUTPUT SPSS Reliability Scale: ALL VARIABLES Case Processing Summary N % 100 100.0 Cases Excluded a 0.0 Total 100 100.0 a. Listwise deletion based on all variables in the procedure. Reliability
TRY OUT 25 Responden Variabel Kepuasan / x1
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UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI
1 UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI Case Processing Summary N % 20 100.0 Cases Excluded a 0.0 Total 20 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics
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LAMPIRAN I LAMPRIAN PDRB Harga Berlaku NO KAB/KOTA 2005 2006 2007 2008 2009 2010 1 Asahan 15527794210 6429147880 8174125380 9505603030 10435935630 11931676610 2 Dairi 2303591460 2552751860 2860204810 3116742540
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CHAPTER V CONCLUSION, SUGGESTION AND LIMITATION. 1. Independent commissioner boards proportion does not negatively affect
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