correlations

Correlations

Jumlah Bangkitan

Pergerakan

Jumlah Penduduk

(Jiwa)

Jumlah Rumah

sakit

Jumlah

Perusahan

Perdagangan

jumlah Pelayanan

Perbankan PDRB (Rupiah)

Jumlah Bangkitan Pergerakan Pearson Correlation 1 .441* .769** .760** .789** .722**

Sig. (2-tailed) .035 .000 .000 .000 .000

N 23 23 23 23 23 23

Jumlah Penduduk (Jiwa) Pearson Correlation .441* 1 .379 .248 .172 .312

Sig. (2-tailed) .035 .074 .254 .431 .148

N 23 23 23 23 23 23

Jumlah Rumah sakit Pearson Correlation .769** .379 1 .841** .847** .727**

Sig. (2-tailed) .000 .074 .000 .000 .000

N 23 23 23 23 23 23

Jumlah Perusahan

Perdagangan

Pearson Correlation .760** .248 .841** 1 .866** .923**

Sig. (2-tailed) .000 .254 .000 .000 .000

N 23 23 23 23 23 23

jumlah Pelayanan Perbankan Pearson Correlation .789** .172 .847** .866** 1 .670**

Sig. (2-tailed) .000 .431 .000 .000 .000

N 23 23 23 23 23 23

PDRB (Rupiah) Pearson Correlation .722** .312 .727** .923** .670** 1

Sig. (2-tailed) .000 .148 .000 .000 .000

N 23 23 23 23 23 23

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

METODE PEMODELAN BANGKITAN PERGERAKAN DENGAN MODEL ANALISA LANGKAH DEMI LANGKAH TIPE 1

Tanpa Pengurangan

Variables Entered/Removedb

Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

Jumlah

Penduduk

(Jiwa), jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakit, Jumlah

Perusahan

Perdagangana

. Enter

a. All requested variables entered.

b. Dependent Variable: Jumlah Bangkitan Pergerakan

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

1 .891a .793 .732 1962937.716 1.294

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa), jumlah Pelayanan

Perbankan, Jumlah Rumah sakit, Jumlah Perusahan Perdagangan


ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 2.513E14 5 5.027E13 13.046 .000a

Residual 6.550E13 17 3.853E12

Total 3.168E14 22


Perbankan, Jumlah Rumah sakit, Jumlah Perusahan Perdagangan


Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.B Std. Error Beta

1 (Constant) -9.605E6 3.485E6 -2.756 .014

Jumlah Penduduk (Jiwa) 6.684 3.829 .223 1.745 .099

Jumlah Rumah sakit 57761.846 240577.142 .060 .240 .813

Jumlah Perusahan

Perdagangan-503.236 275.003 -1.072 -1.830 .085

jumlah Pelayanan

Perbankan703912.833 226020.949 1.011 3.114 .006

PDRB (Rupiah) 2.615 1.127 .921 2.320 .033

a. Dependent Variable: Jumlah Bangkitan Pergerakan

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 2.74E6 1.45E7 6.74E6 3379987.732 23

Residual -2.274E6 4.754E6 .000 1725518.580 23

Std. Predicted Value -1.185 2.290 .000 1.000 23

Std. Residual -1.158 2.422 .000 .879 23


Pengurangan x1


Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakit, Jumlah

Perusahan

Perdagangana

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .870a .756 .702 2071522.857 1.416

a. Predictors: (Constant), PDRB (Rupiah), jumlah Pelayanan Perbankan, Jumlah

Rumah sakit, Jumlah Perusahan Perdagangan


ANOVAb


1 Regression 2.396E14 4 5.990E13 13.959 .000a

Residual 7.724E13 18 4.291E12

Total 3.168E14 22

a. Predictors: (Constant), PDRB (Rupiah), jumlah Pelayanan Perbankan, Jumlah Rumah sakit,

Jumlah Perusahan Perdagangan


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -1.030E7 3.654E6 -2.819 .011


Jumlah Perusahan

Perdagangan-586.505 285.815 -1.249 -2.052 .055

jumlah Pelayanan

Perbankan670409.546 237662.192 .963 2.821 .011

PDRB (Rupiah) 3.012 1.165 1.060 2.586 .019





Residual -3.003E6 4.086E6 .000 1873762.926 23


Std. Residual -1.450 1.973 .000 .905 23


Pengurangan x1, x5


Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakit, Jumlah

Perusahan

Perdagangana

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .816a .666 .613 2361241.321 1.436

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Rumah sakit, Jumlah

Perusahan Perdagangan


ANOVAb


1 Regression 2.109E14 3 7.030E13 12.609 .000a

Residual 1.059E14 19 5.575E12

Total 3.168E14 22

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Rumah sakit, Jumlah Perusahan

Perdagangan


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -2.639E6 2.436E6 -1.083 .292

Jumlah Rumah sakit 278784.431 264348.365 .288 1.055 .305

Jumlah Perusahan

Perdagangan84.933 136.134 .181 .624 .540

jumlah Pelayanan

Perbankan270692.191 205766.799 .389 1.316 .204





Residual -2.773E6 4.097E6 .000 2194349.676 23

Std. Predicted Value -.899 3.321 .000 1.000 23

Std. Residual -1.174 1.735 .000 .929 23


Pengurangan x1, x3, x5


Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakita

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .812a .659 .625 2324908.126 1.324

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Rumah sakit


ANOVAb


1 Regression 2.087E14 2 1.044E14 19.309 .000a

Residual 1.081E14 20 5.405E12

Total 3.168E14 22



Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.648E6 1.794E6 -2.034 .055


jumlah Pelayanan

Perbankan339348.863 171192.228 .488 1.982 .061





Residual -3.016E6 4.106E6 .000 2216712.921 23


Std. Residual -1.297 1.766 .000 .953 23


Pengurangan x1, x2, x3, x5


Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankana

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .789a .623 .605 2384885.694 1.209

a. Predictors: (Constant), jumlah Pelayanan Perbankan


ANOVAb


1 Regression 1.974E14 1 1.974E14 34.706 .000a

Residual 1.194E14 21 5.688E12

Total 3.168E14 22

a. Predictors: (Constant), jumlah Pelayanan Perbankan


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -2.477E6 1.642E6 -1.508 .146

jumlah Pelayanan

Perbankan549427.094 93262.611 .789 5.891 .000





Residual -3.255E6 5.638E6 .000 2330053.406 23


Std. Residual -1.365 2.364 .000 .977 23


METODE PEMODELAN BANGKITAN PERGERAKAN DENGAN MODEL ANALISA LANGKAH DEMI LANGKAH TIPE 2

Pengurangan x5


Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankan,

Jumlah

Penduduk

(Jiwa), Jumlah

Perusahan

Perdagangan,

Jumlah Rumah

sakita

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .853a .728 .667 2188922.204 1.436

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Penduduk (Jiwa),

Jumlah Perusahan Perdagangan, Jumlah Rumah sakit


ANOVAb


1 Regression 2.306E14 4 5.765E13 12.032 .000a

Residual 8.624E13 18 4.791E12

Total 3.168E14 22

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Penduduk (Jiwa), Jumlah

Perusahan Perdagangan, Jumlah Rumah sakit


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.037E6 2.267E6 -1.339 .197



Jumlah Perusahan

Perdagangan78.239 126.242 .167 .620 .543

jumlah Pelayanan

Perbankan380050.745 198232.255 .546 1.917 .071





Residual -2.276E6 4.723E6 .000 1979954.631 23


Std. Residual -1.040 2.158 .000 .905 23


Pengurangan x1, x5


Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakit, Jumlah

Perusahan

Perdagangana

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .816a .666 .613 2361241.321 1.436

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Rumah sakit, Jumlah

Perusahan Perdagangan


ANOVAb


1 Regression 2.109E14 3 7.030E13 12.609 .000a

Residual 1.059E14 19 5.575E12

Total 3.168E14 22

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah Rumah sakit, Jumlah Perusahan

Perdagangan


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -2.639E6 2.436E6 -1.083 .292


Jumlah Perusahan

Perdagangan84.933 136.134 .181 .624 .540

jumlah Pelayanan

Perbankan270692.191 205766.799 .389 1.316 .204





Residual -2.773E6 4.097E6 .000 2194349.676 23


Std. Residual -1.174 1.735 .000 .929 23




Model

Variables

Entered

Variables

Removed Method

1 jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakita

. Enter



Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .812a .659 .625 2324908.126

a. Predictors: (Constant), jumlah Pelayanan Perbankan, Jumlah

Rumah sakit

ANOVAb


1 Regression 2.087E14 2 1.044E14 19.309 .000a

Residual 1.081E14 20 5.405E12

Total 3.168E14 22



Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.648E6 1.794E6 -2.034 .055


jumlah Pelayanan

Perbankan339348.863 171192.228 .488 1.982 .061


Pengurangan x1, x3, x4, x5


Model

Variables

Entered

Variables

Removed Method

1 Jumlah Rumah

sakita. Enter



Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .769a .592 .572 2481772.264

a. Predictors: (Constant), Jumlah Rumah sakit

ANOVAb


1 Regression 1.875E14 1 1.875E14 30.441 .000a

Residual 1.293E14 21 6.159E12

Total 3.168E14 22

a. Predictors: (Constant), Jumlah Rumah sakit


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.400E6 1.910E6 -1.780 .090



METODE PEMODELAN BANGKITAN PERGERAKAN DENGAN MODEL ANALISA COBA-COBA

Pengurangan x4


Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

Jumlah Rumah

sakit, Jumlah

Perusahan

Perdagangana

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .805a .648 .593 2421262.283 1.262

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Rumah sakit, Jumlah Perusahan

Perdagangan


ANOVAb


1 Regression 2.055E14 3 6.848E13 11.682 .000a

Residual 1.114E14 19 5.863E12

Total 3.168E14 22

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Rumah sakit, Jumlah Perusahan

Perdagangan


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.036E6 3.029E6 -1.002 .329


Jumlah Perusahan

Perdagangan26.776 216.858 .057 .123 .903

PDRB (Rupiah) .875 1.034 .308 .846 .408





Residual -4.509E6 4.563E6 .000 2250128.378 23


Std. Residual -1.862 1.885 .000 .929 23


Pengurangan x3, x4


Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

Jumlah

Penduduk

(Jiwa), Jumlah

Rumah sakita

. Enter



Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the


1 .819a .670 .618 2345728.671 1.046

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa), Jumlah Rumah

sakit


ANOVAb


1 Regression 2.123E14 3 7.076E13 12.860 .000a

Residual 1.045E14 19 5.502E12

Total 3.168E14 22

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa), Jumlah Rumah sakit


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.471E6 1.810E6 -1.918 .070



PDRB (Rupiah) .947 .546 .334 1.736 .099





Residual -4.360E6 4.520E6 .000 2179933.453 23


Std. Residual -1.859 1.927 .000 .929 23


Pengurangan x3


Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

Jumlah

Penduduk

(Jiwa), jumlah

Pelayanan

Perbankan,

Jumlah Rumah

sakita

. Enter



Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .867a .753 .698 2087074.931

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa),

jumlah Pelayanan Perbankan, Jumlah Rumah sakit

ANOVAb


1 Regression 2.384E14 4 5.961E13 13.684 .000a

Residual 7.841E13 18 4.356E12

Total 3.168E14 22


Perbankan, Jumlah Rumah sakit


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -3.868E6 1.618E6 -2.390 .028


Jumlah Rumah sakit -7072.018 253002.321 -.007 -.028 .978

jumlah Pelayanan

Perbankan401281.517 163806.028 .576 2.450 .025

PDRB (Rupiah) .735 .493 .259 1.491 .153




Model

Variables

Entered

Variables

Removed Method

1 PDRB (Rupiah),

Jumlah

Penduduk

(Jiwa)a

. Enter



Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .757a .573 .530 2600430.578

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa)

ANOVAb


1 Regression 1.816E14 2 9.080E13 13.427 .000a

Residual 1.352E14 20 6.762E12

Total 3.168E14 22

a. Predictors: (Constant), PDRB (Rupiah), Jumlah Penduduk (Jiwa)


Coefficientsa

Model


Standardized

Coefficients


1 (Constant) -734929.232 1.542E6 -.477 .639


PDRB (Rupiah) 1.840 .437 .648 4.213 .000


correlations

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