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INPUT DATA TIAP VARIABEL LAMPIRAN 1

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INPUT DATA TIAP

VARIABEL

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No Tahun Kode TAC / TA t-1 ΔREV / TA t-1 PPE / TA t-1 ΔREV - ΔREC

66 2011 INCO 5.9414 -577.2423 721.0875 -11494912153280 -575.9086 0.015 -38.5859 -64.1768 -102.7477 108.6890 108.6890

(6)
(7)
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OUTPUT DATA

LAMPIRAN 2

UJI ASUMSI KLASIK

DAN PENGHITUNGAN

(9)

UJI ASUMSI KLASIK PENGHITUNGAN MANAJEMEN LABA

UJI NORMALITAS (SEBELUM DATA NORMAL)

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Unstandardized Residual

93

100.0%

0

0.0%

93

100.0%

Descriptives

Statistic

Std. Error

Unstandardized Residual Mean

0E-7 .41264777

95% Confidence Interval

for Mean

Lower Bound

-.8195541

Upper Bound

.8195541

5% Trimmed Mean

-.4865399

Median

-.4894765

Variance

15.836

Std. Deviation

3.97943097

Minimum

-2.41832

Maximum

36.56936

Range

38.98768

Interquartile Range

.13653

Skewness

8.770

.250

Kurtosis

80.029

.495

M-Estimators

Huber's

M-Estimator

a

Tukey's

Biweight

b

Hampel's

M-Estimator

c

Andrews' Wave

d

Unstandardized Residual

-.4883622

-.4915639

-.4908879

-.4916874

a. The weighting constant is 1,339.

b. The weighting constant is 4,685.

(10)

Percentiles

Unstandardized Residual

Highest

1

84

36.56936

(11)

UJI NORMALITAS (SETELAH DATA NORMAL)

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Unstandardized Residual

87

100.0%

0

0.0%

87

100.0%

Descriptives

Statistic

Std. Error

Unstandardized Residual Mean

0E-7 .00918825

95% Confidence Interval

for Mean

Lower Bound

-.0182656

Upper Bound

.0182656

5% Trimmed Mean

-.0005519

Median

-.0024108

Variance

.007

Std. Deviation

.08570228

Minimum

-.23523

Maximum

.25077

Range

.48600

Interquartile Range

.11385

Skewness

.092

.258

Kurtosis

1.206

.511

M-Estimators

Huber's

M-Estimator

a

Tukey's

Biweight

b

Hampel's

M-Estimator

c

Andrews' Wave

d

Unstandardized Residual

-.0007674

-.0011052

-.0002102

-.0010784

a. The weighting constant is 1,339.

b. The weighting constant is 4,685.

(12)

Percentiles

Unstandardized Residual

Highest

1

86

.25077

2

85

.23621

*. This is a lower bound of the true significance.

(13)

UJI HETEROKEDASTISITAS

Variables Entered/Removed

b

Model

Variables

Entered

Variables

Removed

Method

1

PPE_TA,

REV_TA

b

. Enter

a. Dependent Variable: ABS

b. All requested variables entered.

Model Summary

Model

R

R Square

Adjusted R

Square

Std. Error of the

Estimate

1

.161

a

.026

.003

.05632376

a. Predictors: (Constant), PPE_TA, REV_TA

ANOVA

a

Model

Sum of Squares

Df

Mean Square

F

Sig.

1

Regression

.007

2

.004

1.111

.334

b

Residual

.266

84

.003

Total

.274

86

a. Dependent Variable: ABS

b. Predictors: (Constant), PPE_TA, REV_TA

Coefficients

a

Model

Unstandardized Coefficients

Standardized

Coefficients

t

Sig.

B

Std. Error

Beta

(14)

UJI MULTIKOLINEARITAS

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

Collinearity

Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

.015

.012

1.208

.230

REV_TA

.067

.014

1.102

4.844

.000

.165

6.405

PPE_TA

-.089

.028

-.726

-3.189

.002

.165

6.405

a. Dependent Variable: TAC_TA

UJI AUTOKORELASI

Model Summary

b

Model

R

R Square

Adjusted R

Square

Std. Error of the

Estimate

Durbin-Watson

1

.529

a

.280

.263

.0867165

2.180

a. Predictors: (Constant), PPE_TA, REV_TA

(15)

PENGUJIAN PENGHITUNGAN MANAJEMEN LABA

Variables Entered/Removed

b

Model

Variables

Entered

Variables

Removed

Method

1

PPE_TA,

REV_TA

b

. Enter

a. Dependent Variable: TAC_TA

b. All requested variables entered.

Model Summary

b

Model

R

R Square

Adjusted R

Square

Std. Error of the

Estimate

Durbin-Watson

1

.529

a

.280

.263

.0867165

2.180

a. Predictors: (Constant), PPE_TA, REV_TA

b. Dependent Variable: TAC_TA

ANOVA

b

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

.246

2

.123

16.347

.000

b

Residual

.632

84

.008

Total

.878

86

a. Dependent Variable: TAC_TA

b. Predictors: (Constant), PPE_TA, REV_TA

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

Collinearity

Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

.015

.012

1.208

.230

(16)

LAMPIRAN 3

OUTPUT DATA

UJI ASUMSI KLASIK

DAN PENGUJIAN

(17)

UJI ASUMSI KLASIK HIPOTESIS

UJI NORMALITAS (SEBELUM DATA NORMAL 87 DATA)

Case Processing Summary

5% Trimmed Mean

-.0054756

Median

-.0153143

a b

Hampel's M-

Estimator

c

Andrews'

Wave

d

Unstandardized Residual

-.0089877

-.0129159

-.0100384

-.0129096

a. The weighting constant is 1.339.

b. The weighting constant is 4.685.

c. The weighting constants are 1.700, 3.400, and 8.500

d. The weighting constant is 1.340*pi.

Percentiles

Tukey's Hinges

Unstandardi

zed Residual

(18)

-Extreme Values

Case Number

Value

Unstandardized Residual

Highest

1

14

.19792

2

5

.16723

3

31

.16627

4

60

.16544

5

51

.11535

Lowest

1

85

-.07856

2

54

-.07165

3

23

-.06963

4

38

-.06752

5

82

-.06039

Tests of Normality

Kolmogorov-Smirnov

a

Shapiro-Wilk

(19)

UJI NORMALITAS (SEBELUM DATA NORMAL 79 DATA)

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Unstandardized Residual

79

100.0%

0

0.0%

79

100.0%

Descriptives

Statistic

Std. Error

Unstandardized Residual

Mean

0E-7

.00614234

95% Confidence Interval for

Mean

Lower Bound

-.0122285

Upper Bound

.0122285

5% Trimmed Mean

-.0052019

Median

-.0125081

Variance

.003

Std. Deviation

.05459431

Minimum

-.07248

Maximum

.19439

Range

.26687

Interquartile Range

.05058

Skewness

1.519

.271

Kurtosis

2.569

.535

M-Estimators

Huber's

M-Estimator

Tukey's

Biweight

a

Hampel's

M-Estimator

b c

Andrews' Wave

d

Unstandardized Residual

-.0108471

-.0164923

-.0125552

-.0165574

a. The weighting constant is 1.339.

b. The weighting constant is 4.685.

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UJI NORMALITAS (SEBELUM DATA NORMAL 69 DATA)

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Unstandardized Residual

69

100.0%

0

0.0%

69

100.0%

Descriptives

Statistic

Std. Error

Unstandardized Residual

Mean

0E-7

.00416838

95% Confidence Interval for

Mean

Lower Bound

-.0083179

Upper Bound

.0083179

5% Trimmed Mean

-.0010751

Median

-.0080591

Variance

.001

Std. Deviation

.03462514

Minimum

-.06444

Maximum

.08154

Range

.14598

Interquartile Range

.04508

Skewness

.671

.289

Kurtosis

-.187

.570

M-Estimators

Huber's

M-Estimator

a

Tukey's Biweight

Hampel's

M-Estimator

b

c

Andrews' Wave

d

Unstandardized Residual

-.0049807

-.0080779

-.0042627

-.0082639

a. The weighting constant is 1.339.

b. The weighting constant is 4.685.

(22)
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UJI NORMALITAS (SETELAH DATA NORMAL)

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Unstandardized Residual

59

100.0%

0

0.0%

59

100.0%

Descriptives

Statistic

Std. Error

Unstandardized Residual

Mean

0E-7

.00325414

95% Confidence Interval for

Mean

Lower Bound

-.0065139

Upper Bound

.0065139

5% Trimmed Mean

-.0012712

Median

-.0020837

Variance

.001

Std. Deviation

.02499553

Minimum

-.03829

Maximum

.06204

Range

.10033

Interquartile Range

.03280

Skewness

.685

.311

Kurtosis

.046

.613

M-Estimators

Huber's

M-Estimator

a

Tukey's Biweight

Hampel's

M-Estimator

b

c

Andrews' Wave

d

Unstandardized Residual

-.0025084

-.0038001

-.0025723

-.0038273

a. The weighting constant is 1.339.

b. The weighting constant is 4.685.

(24)
(25)

UJI HETEROKEDASTISITAS

Variables Entered/Removed

a

Model

Variables

Entered

Variables

Removed

Method

1

ROA, PDK, KA,

UDK, KI, KM,

KMR, DER,

K_AUD

b

. Enter

a. Dependent Variable: ABS

b. All requested variables entered.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the

Estimate

1

.490

a

.240

.101

.01433742

a. Predictors: (Constant), ROA, PDK, KA, UDK, KI, KM, KMR, DER, K_AUD

ANOVA

a

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

.003

9

.000

1.722

.109

b

Residual

.010

49

.000

Total

.013

58

a. Dependent Variable: ABS

b. Predictors: (Constant), ROA, PDK, KA, UDK, KI, KM, KMR, DER, K_AUD

Coefficients

a

Model

Unstandardized Coefficients

Standardized

Coefficients

t

Sig.

B

Std. Error

Beta

(26)

UJI MULTIKOLINEARITAS

Coefficients

a

Model

Unstandardized

Coefficients

Standardized

Coefficients

t

Sig.

Collinearity

Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

.080

.022

3.624

.001

PDK

-.160

.032

-.879

-4.966

.000

.231

4.325

UDK

.006

.003

.374

2.089

.043

.226

4.425

KMR

-.039

.008

-.558

-5.203

.000

.630

1.587

KA

-.010

.005

-.214

-2.269

.028

.814

1.229

KI

-.038

.017

-.275

-2.261

.029

.489

2.044

KM

-.030

.008

-.421

-4.033

.000

.664

1.507

K_AUD

-.023

.008

-.322

-2.805

.008

.549

1.821

DER

.002

.000

.474

4.768

.000

.732

1.367

ROA

.000

.000

-.128

-1.279

.208

.719

1.390

a. Dependent Variable: DTA

UJI AUTOKORELASI

Model Summary

b

Model

R

R Square

Adjusted R

Square

Std. Error of the

Estimate

Durbin-Watson

1

.834

a

.696

.631

.0210993

2.023

a. Predictors: (Constant), ROA, DER, KA, KI, PDK, KM, KMR, K_AUD, UDK

(27)

PENGUJIAN HIPOTESIS

a. Predictors: (Constant), ROA, DER, KA, KI, PDK, KM, KMR, K_AUD, UDK

b. Dependent Variable: DTA

b. Predictors: (Constant), ROA, DER, KA, KI, PDK, KM, KMR, K_AUD, UDK

(28)

STATISTIK DESKRIPTIF

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

PDK

59

.2500

.6000

.381908

.0786481

UDK

59

1

4

1.93

.666

KA

59

3

6

3.39

.743

KI

59

.0516

.9855

.573329

.2481273

DER

59

.0167

5.5039

1.280981

1.1956273

ROA

59

-.0557

.3377

.092625

.1005437

DTA

59

.0026

.1659

.051659

.0368694

Valid N (listwise)

59

KMR

Frequency

Percent

Valid Percent

Cumulative

Percent

Valid

0

24

40.7

40.7

40.7

1

35

59.3

59.3

100.0

Total

59

100.0

100.0

KM

Frequency

Percent

Valid Percent

Cumulative

Percent

Valid

0

16

27.1

27.1

27.1

1

43

72.9

72.9

100.0

Total

59

100.0

100.0

K_AUD

Frequency

Percent

Valid Percent

Cumulative

Percent

Valid

(29)

LAMPIRAN 4

VIPER

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