Analisis Pengaruh Kognitif Hukum Dan Kognitif Medis Terhadap Perilaku Warga Binaan Pemasyarakatan Penyalahgunaan Narkoba Pada Rumah Tahanan Negara (Rutan) Kelas 1 Medan

(1)

Lampiran 2. Hipotesis Pertama

Model Summary(b)

Adjusted R Std. Error of the

Model R R Square Square Estimate Durbin-Watson

1 _ ,719(a) ,518 ,507 1,979 1,928

a Predictors: (Constant), K.Mds, K.Hkm b Dependent Variable: Perilaku

ANOVA(b)

Model

a Predictors: (Constant), K.Mds, K.Hkm b Dependent Variable: Perilaku

Coefficients(a)

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

Collinearity Statistics

B Std. Error

Beta _Tolerance _V1F

(Constant) K.Hkm

a Dependent Variable: Perilaku

Collinearity Diagnostics(a)

Model Dimension

Eigenvalue Condition Index (Constant)

K.Hkm Variance

(Constant)

Proportions K.Hkm

(2)

2 0 —

1 5 —

- 2 0

R e g r e ssi o n S t a n d a r d i z e d R

Residuals Statistics(a)

Minimum Maximum Mean Std. Deviation N

11,15 19,77 15,20 2,028 95

-4,987 4,930 ,000 1,958 95

-1,996 2,254 ,000 1,000 95

-2,520 2,490 ,000 ,989 95

Histogram

Dependent Variable: Perilaku

Normal P-P Plot of Regression Standardized Residual

Dependent Variable: Perilaku

0.0 0.2 0_4 0.6 0 0

(3)

Lampiran 3. Hipotesis Kedua

Variables Entered/Removed(b)

a All requested variables entered. b Dependent Variable: K.Hkm

Model Adjusted R Std. Error of the

R R Square Square Estimate Durbin-Watson

1 ,710(a) ,504 ,493 1,574 2,309

a Predictors: (Constant), B.Hkm, P.1-11cm b Dependent Variable: K.Hkm

ANOVA(b)

Model

Sum of

Squares _df

Mean

Square _F _Sig.

1 Regression 231,716 2 115,858 46,769 ,000(a)

Residual 227,905 92 2,477

Total _459,621 ₉₄

a Predictors: (Constant); Bacm; P.Hkm b Dependent Variable: K.Hkm

Coefficients(a)

Unstandardized Coefficients

Collinearity Statistics Tolerance VIF

Model B Std. Error Beta t Sig.

1 (Constant) 4,903 1,068 4,590 ,000

P.Hkm ,355 ,065 ,419 5,479 ,000 ,920 1,078

B.Hkm ,368 ,060 ,467 6,097 ,000 ,920 1,078

a Dependent Variable: K.Hkm

Variables Entered

Variables Removed

Model Method

1 B Hkm

(4)

Collinearity Diagnostics(a)

Model Dimension Eigenvalue

Condition

Index Variance Proportions

(Constant) P.Hkm B.Hkm (Constant) P.Hkm

1 _2,959 _1,000 _,00 _,00 _,00

2 _,026 _10,604 _,02 _,46 _,81

3 _,015 _14,023 _,98 _,55 ,18

a Dependent Variable: K.Hkm

Minimum Maximum Mean Std. Deviation N :

Predicted Value _11,76 _18,99 _15,06 _1,570 ₉₅

Residual _-5,101 _5,145 _,000 _1,557 ₉₅

Std. Predicted Value -2,101 2,503 ,000 1,000 95

Std. Residual -3,249 3,269 ,000 ,989 95

a Dependent Variable: K.Hkm

Histogram

De p e n d a n t Va r i a b le : K . H km

Mears =-3.82E-17E. Std. Dav_ =0.9890

N =95

(5)

N o r m a l P - P P l o t of Re g r e s s i on S t a n d a r d i z e d R e s i d u a l

De p en de n t Va ria ble : K. H km

0.0 0.2 0.4 0.6 0 a 1.0

Observed Cum Prob

Scatterplot

De p e n d e n t Va r i a b l e : K . H km

2 0-

0 CI 0 0 0 0 0

18— 0 0 0 0 0

0 0 C I D 0

16— 0 0 0 0 0 Cla 0

-.1q 0 a 0 a a a

14— 0 0 0 0 0 0

hd 0 o aur 0. 0 co OD 0

12— 0 0 0 0 0

0 0

10—

0

a

--3 -1 0 1 ₂

(6)

Lampiran 4. Hipotesis Ketiga

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed _Method

1 Konseling,

P.Mds(a) E n t e r •

a All requested variables entered.

b Dependent Variable: K.Mds

Model

R .

R Square

Adjusted R Square

Std. Error of the

EstiMate DUrbin-Watson

R Square Change

1 ,717(a) ,514 ,503 1,558 2,123

a Predictors: (Constant), Konseling, P Mds b Dependent Variable: K.Mds

ANOVA(b)

Model Sum of Squares df Mean Square F Sig.

1 Regression 236,182 2 118,091 48,623 ,000(a)

Residual 223,440 92 2,429

Total 459,621 94

a Predictors: (Constant), Konseling, P.Mds h Dependent Variable: K.Mds

Coefficients(a)

Model Unstandardized

Coefficients

t Sig.

Collinearity Statistics

B _ErrorStd. Beta Tolerance VIF

1 (Constant) 5,519 ,982 5,620 ,000

P.Mds ,397 ,070 ,489 5,700 ,000 ,718 1,394

Konseling ,254 ,067 ,325 3,786 ,000 ,718 1,394

(7)

(8)

Collinearity Diagnostics(a)

Model Dimension Eigenvalue

Condition

Index Variance

Proportion

s (Constant) P.Mds

(Constant) P.Mds Konseling

1 1

2 3

2,966 ,019 ,015

1,000 12,608 13,856

,00 ,71 ,29

,00 ,00 1,00

,00 ,71 ,28

a Dependent Variable: K.Mds

Minimum Maximum Mean Std. Deviation N

Predicted Value 11,78 18,54 15,06 1,585 95

Residual -5,143 4,160 ,000 1,542 95

Std. Predicted Value -2,074 2,193 ,000 1,000 95

Std. Residual _-3,300 _2,669 _,000 _,989 ₉₅

a Dependent Variable: K.Mds

Histogram

D e p e n d e n t Va r i a b l e : K . M d s

-4 -2 0 2