Kajian Fiskal Regional Tahunan 2020

Variables Entered/Removedb

Model Variables Variables Method
Entered Removed

1 DAUa . Enter

a. All requested variables entered.
b. Dependent Variable: PDRB

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .266a .071 -.394 .04243

a. Predictors: (Constant), DAU
b. Dependent Variable: PDRB

ANOVAb

Model Sum of Squares df Mean Square F Sig.
.152 .734a
1 Regression .000 1 .000

Residual .004 2 .002

Total .004 3

a. Predictors: (Constant), DAU
b. Dependent Variable: PDRB

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
6.495 .023
1 (Constant) 4.054 .624 .734
.390
DAU .057 .147 .266

a. Dependent Variable: PDRB

Charts

Regression

Variables Entered/Removedb

Variables Variables

Model Entered Removed Method

1 DAUa . Enter

a. All requested variables entered.
b. Dependent Variable: TPT

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .796a .634 .451 .58284

a. Predictors: (Constant), DAU
b. Dependent Variable: TPT

ANOVAb

Model Sum of Squares df Mean Square F Sig.
3.462 .204a
1 Regression 1.176 1 1.176

Residual .679 2 .340

Total 1.855 3

a. Predictors: (Constant), DAU

b. Dependent Variable: TPT

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
2.335 .145
1 (Constant) 20.018 8.574 -1.861 .204

DAU -3.762 2.022 -.796

a. Dependent Variable: TPT

Charts

Regression

Variables Entered/Removedb

Model Variables Variables Method
Entered Removed

1 DAUa . Enter

a. All requested variables entered.

b. Dependent Variable: TK
Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .632a .400 .100 .31564

ANOVAb

Model Sum of Squares df Mean Square F Sig.
1.333 .368a
1 Regression .133 1 .133

Residual .199 2 .100

Total .332 3

a. Predictors: (Constant), DAU
b. Dependent Variable: TK

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
2.202 .159
1 (Constant) 10.223 4.643 -1.155 .368

DAU -1.265 1.095 -.632

a. Dependent Variable: TK

Charts

Regression

Variables Entered/Removedb

Model Variables Variables Method
Entered Removed

1 DAUa . Enter

a. All requested variables entered.
b. Dependent Variable: IPM

Model Summaryb

Variables Entered/Removedb

Model Variables Variables Method
Entered Removed

1 DAUa . Enter

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .048a .002 -.497 .82326

a. Predictors: (Constant), DAU
b. Dependent Variable: IPM

ANOVAb

Model Sum of Squares df Mean Square F Sig.
.005 .952a
1 Regression .003 1 .003

Residual 1.356 2 .678

Total 1.359 3

a. Predictors: (Constant), DAU
b. Dependent Variable: IPM

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
5.783 .029
1 (Constant) 70.032 12.111 .952
.068
DAU .195 2.856 .048

a. Dependent Variable: IPM

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA

Regression

Variables Entered/Removedb

Model Variables Variables Method
Entered Removed

1 DAKa . Enter

a. All requested variables entered.
b. Dependent Variable: PDRB

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .838a .702 .553 .02404

a. Predictors: (Constant), DAK
b. Dependent Variable: PDRB

ANOVAb

Model Sum of Squares df Mean Square F Sig.
4.705 .162a
1 Regression .003 1 .003

Residual .001 2 .001

Total .004 3

a. Predictors: (Constant), DAK
b. Dependent Variable: PDRB

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
16.628 .004
1 (Constant) 3.802 .229 .162
2.169
DAK .366 .169 .838

a. Dependent Variable: PDRB

Charts

Regression

Variables Entered/Removedb

Variables Variables

Model Entered Removed Method

1 DAKa . Enter

a. All requested variables entered.
b. Dependent Variable: TPT

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .305a .093 -.360 .91710

a. Predictors: (Constant), DAK
b. Dependent Variable: TPT

ANOVAb

Model Sum of Squares df Mean Square F Sig.
.206 .695a
1 Regression .173 1 .173

Residual 1.682 2 .841

Total 1.855 3

a. Predictors: (Constant), DAK

b. Dependent Variable: TPT

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
.014 .990
1 (Constant) .123 8.723 .454 .695

DAK 2.922 6.441 .305

a. Dependent Variable: TPT

Charts

Regression

Variables Entered/Removedb

Variables Variables

Model Entered Removed Method

1 DAKa . Enter

a. All requested variables entered.
b. Dependent Variable: TK

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .812a .660 .490 .23770

a. Predictors: (Constant), DAK
b. Dependent Variable: TK

ANOVAb

Model Sum of Squares df Mean Square F Sig.
3.878 .188a
1 Regression .219 1 .219

Residual .113 2 .057

Total .332 3

a. Predictors: (Constant), DAK

b. Dependent Variable: TK

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
4.118 .054
1 (Constant) 9.311 2.261 -1.969 .188

DAK -3.287 1.669 -.812

a. Dependent Variable: TK

Charts

Regression

Variables Entered/Removedb

Variables Variables

Model Entered Removed Method

1 DAKa . Enter

a. All requested variables entered.
b. Dependent Variable: IPM

Model Summaryb

Adjusted R Std. Error of the

Model R R Square Square Estimate

1 .835a .698 .546 .45325

a. Predictors: (Constant), DAK
b. Dependent Variable: IPM

ANOVAb

Model Sum of Squares df Mean Square F Sig.
4.614 .165a
1 Regression .948 1 .948

Residual .411 2 .205

Total 1.359 3

a. Predictors: (Constant), DAK

b. Dependent Variable: IPM

Coefficientsa

Unstandardized Coefficients Standardized
Coefficients

Model B Std. Error Beta t Sig.
14.291 .005
1 (Constant) 61.610 4.311 .165
2.148
DAK 6.837 3.183 .835

a. Dependent Variable: IPM

Charts

Lampiran 6. 1
Hasil Analisis Potensi Ekonomi Provinsi Babel Tahun 2015-2019

Sektor/Sub Sektor Ekonomi Analisis Analisis SS-EM Overlay
LQ (Eij-E'ij) (rij-rin)
++-
A Pertanian, Kehutanan, dan Perikanan 1,41 2.554,40 (0,03)
1. Pertanian, Peternakan, Perburuan dan Jasa ++-
Pertanian 1,20 910,47 (0,03)
--+
a. Tanaman Pangan 0,17 (1.247,22) 0,17 ++-
++-
b. Tanaman Hortikultura 1,30 262,85 (0,20) --+
++-
c. Tanaman Perkebunan 2,19 2.173,88 (0,05) --+
++-
d. Peternakan 0,63 (288,58) 0,04 ++-
---
e. Jasa Pertanian dan Perburuan 1,10 9,54 (0,02) ---
+++
2. Kehutanan dan Penebangan Kayu 0,50 (165,11) 0,07 ++-
++-
3. Perikanan 2,57 1.809,04 (0,09) --+
---
B Pertambangan dan Penggalian 1,60 2.404,06 (0,02) --+
++-
1. Pertambangan Minyak, Gas dan Panas Bumi 0,24 (1.209,37) (0,10) ---
--+
2. Pertambangan Batubara dan Lignit 0,00 (1.229,56) (0,12) --+
---
3. Pertambangan Bijih Logam 9,53 4.068,96 0,02 +++
---
4. Pertambangan dan Penggalian Lainnya 1,94 774,04 (0,13) +++
--+
C Industri Pengolahan 1,02 179,91 (0,03) ++-
---
D Pengadaan Listrik dan Gas 0,09 (462,45) 0,18

E Pengadaan Air 0,21 (30,81) (0,09)

F Konstruksi 0,82 (884,77) 0,02

G Perdagangan 1,03 24,33 (0,01)

H Transportasi dan Pergudangan 0,89 (180,84) (0,08)

I Penyediaan Akomodasi dan Makan Minum 0,74 (385,99) 0,04

J Informasi dan Komunikasi 0,39 (1.379,39) 0,09

K Jasa Keuangan dan Asuransi 0,43 (1.026,81) (0,05)

L Real Estat 1,04 31,42 0,01

M,N Jasa Perusahaan 0,14 (663,68) (0,25)

O Adm. Pemerintahan, Pertahanan dan Jamsos 1,52 698,98 0,14

P Jasa Pendidikan 0,75 (436,28) 0,10

Q Jasa Kesehatan dan Kegiatan Sosial 1,05 18,91 (0,00)

R,S,T,U Jasa lainnya 0,40 (461,00) (0,03)
Sumber: BPS Pusat dan BPS Babel (diolah)

Keterangan tabel:
a. LQ>1, maka overlay bertanda (+) yang berarti sektor tersebut merupakan sektor potensial (basis) atau

memiliki keunggulan komparatif.
b. (Eij-E’ij) > 0, maka overlay bertanda (+) yang berarti sektor tersebut memiliki spesialisasi.

c. (rij-rin) > 0, maka overlay bertanda (+) yang berarti sektor tersebut memiliki keunggulan kompetitif.