Pengaruh Modal Kerja, Produktivitas Tenaga Kerja, dan Hutang terhadap Profitabilitas pada Perusahaan Pertambangan Logam dan Mineral yang Terdaftar di Bursa Efek Indonesia

Lampiran 1
Sampel dan Populasi
No.

Kriteria
Kode Perusahaan

1.

ANTM

2.

ARII

3.

BORN

4.


BRAU

5.

CITA

6.

CKRA

7.

GEMS

8.

GTBO

9.


HRUM

10.

INCO

11.

PSAB

12.

SMRU

13.

TINS

1


2

3







1




















Sampel



2

X

X




X

X



X

X



X






3






4



5



6



7




8

X

X







64
Universitas Sumatera Utara

Lampiran 2
Daftar Produktivitas Tenaga Kerja, Hutang, Modal Kerja, dan Profitabilitas

PROD.
HUTANG
ROA
MODAL KERJA
TAHUN
KODE TENAGA
(JUTAAN RP)
(%)
(JUTAAN RP)
KERJA
ANTM 3423.77
2635340.00
15.20
7513512.12
ARII
1577.71
320152.00
2.14
132979.00
GEMS

1085.61
546043.00
2.72
540927.79
HRUM 5051.80
925000.00
23.70
1808378.00
2010
INCO
4476.90
5614345.00
0.20
7841966.00
PSAB
125.80
10637.00
-0.07
12991.00
GTBO

884.00
186521.00
0.19
148240.00
SMRU
95.06
123655.70
-0.17
11780.40
ANTM 3846.26
4429190.00
14.06
9108019.77
ARII
1140.74
911391.00
0.96
699042.00
GEMS
3398.51

480032.00
9.44
2479680.32
HRUM 16964.40
1320008.46
49.80
2866473.00
2011
INCO
4257.98
7174123.00
0.14
8585742.00
PSAB
138.76
9317.00
-0.09
11077.00
GTBO
4261.52
165951.90
15.74
249911.29
SMRU
217.37
47547.94
-5.42
180698149.04
ANTM 3769.80
6876220.00
17.10
7646851.20
ARII
1087.03
1702789.00
-3.73
651552.00
GEMS
5891.22
538865.00
5.17
1796212.24
HRUM 11698.59
1209998.48
37.60
3691388.42
2012
INCO
3366.21
6728106.00
0.03
6213790.00
PSAB
1237.85
3175623.00
0.07
584034.00
GTBO 10143.40
1006882.99
25.41
1525616.66
SMRU
272.02
35783.50 -21.37
128281.58
ANTM 4273.19
9071630.00
19.70
7080437.17
ARII
1894.64
2014991.00
-3.36
488026.00
GEMS
6875.20
1053418.00
4.20
1861966.56
HRUM 9254.15
942101.01
13.20
3131247.32
2013
INCO
3185.05
6235383.00
0.02
6132445.00
PSAB
341.95
2853268.00
-0.04
989769.00
GTBO
3266.61
167997.19
-6.74
634138.09
SMRU
76.21
18782.90 -18.59
91582.28

65
Universitas Sumatera Utara

Lampiran 3
Uji Regresi Berganda
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT ROA
/METHOD=ENTER PROD HUTANG MODALKERJA
/SCATTERPLOT=(*ZPRED ,*SRESID)
/RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID).

Regression

Notes
29-JUN-2014 08:43:28

Output Created
Comments
Input

Data
Active Dataset

DataSet0

File Label
Filter



Weight



Split File


32

N of Rows in Working Data File
Missing Value Handling

Definition of Missing

User-defined missing values
are treated as missing.

Cases Used

Statistics are based on
cases with no missing
values for any variable
used.

Weight Handling

66
Universitas Sumatera Utara

REGRESSION

Syntax

/MISSING LISTWISE
/STATISTICS COEFF OUTS
R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT ROA
/METHOD=ENTER PROD
HUTANG MODALKERJA
/SCATTERPLOT=(*ZPRED
,*SRESID)
/RESIDUALS
HISTOGRAM(ZRESID)
NORMPROB(ZRESID).
Resources

Processor Time

00:00:01.58

Elapsed Time

00:00:01.59
1956 bytes

Memory Required
Additional Memory Required for

896 bytes

Residual Plots

[DataSet0]
Variables Entered/Removed
Model

Variables Entered

1

MODALKERJA,

a

Variables Removed

Method

HUTANG,

. Enter

b

PROD

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

b

Model Summary
Model

R

R Square

Adjusted R Square

Std. Error of the
Estimate

1

.838

a

.703

.671

8.28093

a. Predictors: (Constant), MODALKERJA, HUTANG, PROD
b. Dependent Variable: ROA

67
Universitas Sumatera Utara

a

ANOVA
Model
1

Sum of Squares

Df

Mean Square

F

Regression

4545.734

3

1515.245

Residual

1920.066

28

68.574

Total

6465.800

31

Sig.

22.097

.000

b

a. Dependent Variable: ROA
b. Predictors: (Constant), MODALKERJA, HUTANG, PROD

Coefficients
Model

Unstandardized Coefficients

a

Standardized

t

Sig.

Fraction Missing Info.

Coefficients
B
1

Std. Error

Beta

-6.089

2.416

.003

.000

HUTANG

3.737E-007

MODALKERJA

6.416E-010

(Constant)
PROD

-2.520

.018

.831

7.973

.000

.000

.067

.652

.520

.000

.001

.013

.989

Coefficients
Model

1

a

Relative Increase Variance

Relative Efficiency

(Constant)
PROD
HUTANG
MODALKERJA

a. Dependent Variable: ROA

68
Universitas Sumatera Utara

a

Residuals Statistics
Minimum

Maximum

Mean

Std. Deviation

N

-5.8443

47.2519

6.1628

12.10936

32

Std. Predicted Value

-.992

3.393

.000

1.000

32

Standard Error of Predicted Value

1.496

8.272

2.630

1.307

32

-6.2397

61.9662

8.1879

15.27937

32

-16.14208

13.70513

.00000

7.87005

32

Std. Residual

-1.949

1.655

.000

.950

32

Stud. Residual

-2.032

1.693

-.007

1.000

32

-67.38622

14.34191

-2.02514

14.76151

32

-2.162

1.755

-.014

1.018

32

Mahal. Distance

.043

29.966

2.906

5.484

32

Cook's Distance

.000

16.520

.542

2.916

32

Centered Leverage Value

.001

.967

.094

.177

32

Predicted Value

Adjusted Predicted Value
Residual

Deleted Residual
Stud. Deleted Residual

a. Dependent Variable: ROA

Charts

69
Universitas Sumatera Utara

70
Universitas Sumatera Utara

71
Universitas Sumatera Utara

b

Model Summary
Model

R

R Square

Adjusted R Square

Std. Error of the

Durbin-Watson

Estimate

.838

1

a

.703

.671

8.28093

1.837

a. Predictors: (Constant), MODALKERJA, HUTANG, PROD
b. Dependent Variable: ROA

a

ANOVA
Model
1

Sum of Squares

df

Mean Square

Regression

4545.734

3

1515.245

Residual

1920.066

28

68.574

Total

6465.800

31

F

Sig.

22.097

.000

b

72
Universitas Sumatera Utara

a. Dependent Variable: ROA
b. Predictors: (Constant), MODALKERJA, HUTANG, PROD

Coefficients
Model

Unstandardized Coefficients

B
1

Standardized

Std. Error

-6.089

2.416

.003

.000

HUTANG

3.737E-007

MODALKERJA

6.416E-010

(Constant)
PROD

a

Collinearity

Sig.

Collinearity

Coefficients

Statistics

Beta

Tolerance

-2.520

.018

.831

7.973

.000

.977

.000

.067

.652

.520

.991

.000

.001

.013

.989

.978

Coefficients
Model

t

a

Fraction Missing Info.

Relative Increase Variance

Relative Efficiency

Statistics
VIF
1

(Constant)
PROD

1.024

HUTANG

1.009

MODALKERJA

1.023

a. Dependent Variable: ROA

Coefficient Correlations
Model
1

MODALKERJA
Correlations

Covariances

a

HUTANG

PROD

1.000

.057

.133

HUTANG

.057

1.000

-.067

PROD

.133

-.067

1.000

MODALKERJA

2.265E-015

1.558E-015

2.475E-012

HUTANG

1.558E-015

3.285E-013

-1.502E-011

PROD

2.475E-012

-1.502E-011

1.526E-007

MODALKERJA

a. Dependent Variable: ROA

73
Universitas Sumatera Utara

Collinearity Diagnostics
Model

Dimension

Eigenvalue

Condition Index

Variance Proportions
(Constant)

1

a

PROD

HUTANG

MODALKERJA

1

2.277

1.000

.06

.07

.07

.02

2

.963

1.538

.00

.02

.01

.88

3

.516

2.102

.01

.39

.67

.00

4

.244

3.055

.93

.52

.24

.10

a. Dependent Variable: ROA

a

Residuals Statistics
Minimum

Maximum

Mean

Std. Deviation

N

-5.8443

47.2519

6.1628

12.10936

32

Std. Predicted Value

-.992

3.393

.000

1.000

32

Standard Error of Predicted Value

1.496

8.272

2.630

1.307

32

-6.2397

61.9662

8.1879

15.27937

32

-16.14208

13.70513

.00000

7.87005

32

Std. Residual

-1.949

1.655

.000

.950

32

Stud. Residual

-2.032

1.693

-.007

1.000

32

-67.38622

14.34191

-2.02514

14.76151

32

-2.162

1.755

-.014

1.018

32

Mahal. Distance

.043

29.966

2.906

5.484

32

Cook's Distance

.000

16.520

.542

2.916

32

Centered Leverage Value

.001

.967

.094

.177

32

Predicted Value

Adjusted Predicted Value
Residual

Deleted Residual
Stud. Deleted Residual

a. Dependent Variable: ROA

Charts

74
Universitas Sumatera Utara

NPAR TESTS
/K-S(NORMAL)=RES_1
/MISSING ANALYSIS.

NPar Tests

Notes
29-JUN-2014 08:45:25

Output Created
Comments
Input

Data
Active Dataset

DataSet0

File Label
Filter



Weight



Split File



75
Universitas Sumatera Utara

32

N of Rows in Working Data File
Missing Value Handling

User-defined missing values

Definition of Missing

are treated as missing.
Statistics for each test are

Cases Used

based on all cases with
valid data for the variable(s)
used in that test.
Weight Handling

NPAR TESTS

Syntax

/K-S(NORMAL)=RES_1
/MISSING ANALYSIS.
Resources

Processor Time

00:00:00.03

Elapsed Time

00:00:00.05
196608

Number of Cases Alloweda

a. Based on availability of workspace memory.

[DataSet0]
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual

32

N
a,b

Normal Parameters

Mean
Std. Deviation

Most Extreme Differences

0E-7
7.87004521

Absolute

.158

Positive

.110

Negative

-.158

Kolmogorov-Smirnov Z

.895

Asymp. Sig. (2-tailed)

.400

a. Test distribution is Normal.
b. Calculated from data.

76
Universitas Sumatera Utara

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