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

Lampiran 2. Hipotesis Pertama

Model Summary(b)

Model
1

R
_

Adjusted R
Square

R Square

,719(a)

,518

Std. Error of the
Estimate

,507

Durbin-Watson

1,979

1,928

a Predictors: (Constant), K.Mds, K.Hkm
b Dependent Variable: Perilaku
ANOVA(b)
Sum of
Squares

Model
1
Regression
Residual
Total

df

386,719
360,481

2
92

747,200

94

Mean Square
193,360
3,918

F
49,348

Sig.
,000(a)

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

Model

Standardized
Coefficients

Collinearity
Statistics

Beta

(Constant)

K.Hkm
K.Mds

B
1,700
,297
,622

Std. Error
1,595
,095
,073

t
1,066
3,137
8,534

Sig.
,289

,002
,000

Tolerance

V1F

,954
,954

,233
,633

1,04
8
1,04
8

a Dependent Variable: Perilaku

Collinearity Diagnostics(a)

Model

1

Dimension

Eigenvalue
(Constant)

1
2
3

a Dependent Variable: Perilaku

2,965
,025
,010

Condition
Index
K.Hkm
1,000
10,930
17,171

Proportions
K.Hkm
Variance
(Constant)
,00
,05
,95

,00
,22
,78

K.Mds
,00
,93
,07

Residuals Statistics(a)
Minimum
11,15
-4,987
-1,996
-2,520

Maximum
19,77
4,930
2,254
2,490

Mean
15,20

,000
,000
,000

Std. Deviation
2,028
1,958
1,000
,989

N
95
95
95
95

Histogram

Dependent Variable: Perilaku
20—

15—

-2

0

R e g r e ssi o n St a n d a r d i z e d R

Normal P-P Plot of Regression Standardized Residual
Dependent Variable: Perilaku

0.0

0.2

0_4

0.6

Obssnsd Cum Pruts

0

0

Lampiran 3. Hipotesis Kedua
Variables Entered/Removed(b)
Variables
Entered

Model

Variables
Removed

Method

1
P.Hkm(a)

B Hkm

a All requested variables entered.
b Dependent Variable: K.Hkm
Model Summary(b)

Model
R
,710(a)

1

Adjusted R
Square
,493

R Square
,504

Std. Error of the
Estimate
1,574

Durbin-Watson
2,309

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

Model
1

Sum of
Squares
Regression
Residual
Total

Mean
Square

df

231,716
227,905
459,621

2
92
94

115,858
2,477

F
46,769

Sig.
,000(a)

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

Coefficients(a)
Unstandardized
Coefficients
Model
1
(Constant)
P.Hkm
B.Hkm

Std. Error
B
4,903
1,068
,065
,355
,060
,368

a Dependent Variable: K.Hkm

Collinearity
Statistics
Tolerance VIF

Standardized
Coefficients
t

Beta
,419
,467

4,590
5,479
6,097

Sig.
,000
,000
,000

,920
,920

1,078
1,078

Collinearity Diagnostics(a)
Model

Dimension

Condition
Index

Eigenvalue

(Constant)
2,959
,026
,015
a Dependent Variable: K.Hkm
1
2
3

Variance
Proportions

P.Hkm
1,000
10,604
14,023

B.Hkm
,00
,02
,98

(Constant)
,00
,46
,55

P.Hkm
,00
,81
,18

Residuals Statistics(a)
Predicted Value
Residual
Std. Predicted Value
Std. Residual

Minimum
11,76
-5,101
-2,101
-3,249

Maximum
18,99
5,145
2,503
3,269

Mean
15,06
,000
,000
,000

Std. Deviation
1,570
1,557
1,000
,989

a Dependent Variable: K.Hkm
Histogram

Dependa nt Va ri a ble: K.Hkm

Mears =-3.82E-17E.
Std. Dav_ =0.9890
N =95

Regression Standardized Residual

N

:
95
95
95
95

N o rm a l P -P P l o t of Reg r es s i on Sta nda r di z ed R es i dua l

Dependent Va ria ble: K.Hkm

0.0

0.2

0.4

0a

0.6

1.0

Observed Cum Prob

Scatterplot

Dependent Va ri a bl e: K.Hkm
200 CI

18—

0

000

0
0
C
0 0 0 0 0  Cla

16—

-.1q

0a

14—

0

00000

I

D

0
0

a

aa

0

0 o aur 0. 0 co OD

hd

12—

00

00000

0

0

0

0

0

0

0

10—
0

a -3

-1

0

1

Regression Standardized Predicted Value

2

Lampiran 4. Hipotesis Ketiga
Variables Entered/Removed(b)

Model
1

Variables
Entered

Variables
Removed

Method

Konseling,
P.Mds(a)

Enter•

a All requested variables entered.

b Dependent Variable: K.Mds
Model Summary(b)

Model
1

R
R Square .
Change
R Square
,717(a)
,514

Adjusted R
Square
,503

Std. Error of the
EstiMate
1,558

DUrbin-Watson
2,123

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

Model
1
Regression
Residual
Total

Sum of Squares
236,182
223,440
459,621

df
2
92
94

Mean Square
118,091
2,429

F
48,623

Sig.
,000(a)

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

1

(Constant)
P.Mds
Konseling

Unstandardized
Coefficients
Std.
B
Error

5,519
,397
,254
a Dependent Variable: K.Mds

,982
,070
,067

Standardized
Coefficients

t

Sig.

Collinearity
Statistics
Tolerance

Beta
,489
,325

5,620
5,700
3,786

,000
,000
,000

,718
,718

VIF
1,394
1,394

Collinearity Diagnostics(a)

Model Dimension

Condition
Index

Eigenvalue
(Constant)

1

1
2
3

P.Mds

2,966
,019
,015

Variance
Proportion
s (Constant)
,00
,00
,71
,00
,29
1,00

Konseling

1,000
12,608
13,856

P.Mds
,00
,71
,28

a Dependent Variable: K.Mds
Residuals Statistics(a)
Minimum

Maximum

11,78
-5,143
-2,074
-3,300
a Dependent Variable: K.Mds

18,54
4,160
2,193
2,669

Predicted Value
Residual
Std. Predicted Value
Std. Residual

Mean
15,06
,000
,000
,000

Histogram

D e p e n d e n t Va r i a bl e : K .M ds

-4

-2

0

2

Regression Standardized Residual

Std. Deviation
1,585
1,542
1,000
,989

N
95
95
95
95