Pengaruh Profitabilitas Dan Umur Perusahaan Terhadap Audit Delay Dengan Ukuran Perusahaan Sebagai Variabel Moderating

(1)

LAMPIRAN

1. Sampel Penelitian

NO

Kode Perusahaan

Nama Perusahaan

1

ADES

Akasha Wira International Tbk

2

CEKA

Cahaya Kalbar Tbk

3

DLTA

Delta Djakarta Tbk

4

ICBP

Indofood CBP Sukses Makmur Tbk

5

INDF

Indofood Sukses Makmur Tbk

6

MYOR

Mayora Indah Tbk

7

ROTI

Nippon Indosari Corpindo Tbk

8

SKLT

Sekar Laut Tbk

9

STTP

Siantar Top Tbk

10

ULTJ

Ultra Jaya Milk Industry Trading


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2. Data Penelitian

KODE PROFIT UMUR T.ASET A.DELAY

2011

ADES 8.18 17 12.66 79

CEKA 11.70 15 27.44 72

DLTA 21.79 27 20.36 87

ICBP 13.57 1 16.54 75

INDF 9.13 17 17.80 75

MYOR 7.33 21 29.52 39

ROTI 15.27 1 27.36 72

SKLT 2.79 18 26.09 75

STTP 4.57 15 27.56 96

ULTJ 5.89 21 28.41 86

2012

ADES 21.43 18 12.87 67

CEKA 5.68 16 27.66 70

DLTA 28.64 28 20.43 86

ICBP 12.86 2 16.69 70

INDF 8.06 18 17.90 70

MYOR 8.97 22 29.75 87

ROTI 12.38 2 27.82 37

SKLT 3.19 19 26.24 70

STTP 5.97 16 27.85 86

ULTJ 14.60 22 28.52 84

2013

ADES 12.62 19 13.00 73

CEKA 6.08 17 27.70 66

DLTA 31.20 29 20.58 86

ICBP 10.51 3 16.87 76

INDF 4.40 19 18.17 76

MYOR 10.44 23 29.90 85

ROTI 8.67 3 28.23 48

SKLT 3.79 20 26.43 78

STTP 7.78 17 28.02 86

ULTJ 11.56 23 28.66 83

2014

ADES 6.14 20 13.13 89

CEKA 3.19 18 27.88 85

DLTA 29.04 30 20.72 86

ICBP 10.16 4 17.03 71

INDF 5.99 20 18.27 71

MYOR 3.98 24 29.96 86


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(4)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 11.09020114

Most Extreme Differences

Absolute .127

Positive .127

Negative -.116

Kolmogorov-Smirnov Z .806

Asymp. Sig. (2-tailed) .534

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

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 64.239 4.593 13.985 .000

PROFIT -.017 .266 -.010 -.065 .949 .946 1.057

UMUR .736 .232 .473 3.172 .003 .946 1.057

a. Dependent Variable: A.DELAY

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .471a .222 .180 11.38599 2.091


(5)

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 1367.065 2 683.533 5.273 .010b

Residual 4796.710 37 129.641

Total 6163.775 39

a. Dependent Variable: A.DELAY

b. Predictors: (Constant), UMUR, PROFIT Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 64.239 4.593 13.985 .000

PROFIT -.017 .266 -.010 -.065 .949

UMUR .736 .232 .473 3.172 .003

a. Dependent Variable: A.DELAY

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .471a .222 .180 11.38599 2.091

a. Predictors: (Constant), UMUR, PROFIT b. Dependent Variable: A.DELAY


(6)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 12.21745874

Most Extreme Differences

Absolute .166

Positive .104

Negative -.166

Kolmogorov-Smirnov Z 1.048

Asymp. Sig. (2-tailed) .222

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


(7)

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 70.777 4.786 14.787 .000

Zscore(PROFIT) -.504 2.599 -.040 -.194 .847 .614 1.630

Zscore(LN.T.ASET) .795 2.165 .063 .367 .716 .885 1.130

ABSPRO.ASET 4.084 3.141 .266 1.300 .202 .625 1.599

a. Dependent Variable: A.DELAY

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .236a .056 -.023 12.71633 1.957

a. Predictors: (Constant), ABSPRO.ASET, Zscore(LN.T.ASET), Zscore(PROFIT) b. Dependent Variable: A.DELAY

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 70.777 4.786 14.787 .000

Zscore(PROFIT) -.504 2.599 -.040 -.194 .847

Zscore(LN.T.ASET) .795 2.165 .063 .367 .716

ABSPRO.ASET 4.084 3.141 .266 1.300 .202


(8)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 10.85977136

Most Extreme Differences

Absolute .103

Positive .085

Negative -.103

Kolmogorov-Smirnov Z .654

Asymp. Sig. (2-tailed) .785

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


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Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 79.488 3.108 25.578 .000

Zscore(UMUR) 5.573 1.848 .443 3.016 .005 .960 1.042

Zscore(LN.T.ASET) -1.497 1.975 -.119 -.758 .453 .840 1.191

ABSUMUR.ASET -2.920 2.424 -.192 -1.205 .236 .813 1.230

a. Dependent Variable: A.DELAY

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .504a .254 .192 11.30321 2.193

a. Predictors: (Constant), ABSUMUR.ASET, Zscore(UMUR), Zscore(LN.T.ASET) b. Dependent Variable: A.DELAY

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 79.488 3.108 25.578 .000

Zscore(UMUR) 5.573 1.848 .443 3.016 .005

Zscore(LN.T.ASET) -1.497 1.975 -.119 -.758 .453

ABSUMUR.ASET -2.920 2.424 -.192 -1.205 .236


(1)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 11.09020114

Most Extreme Differences

Absolute .127

Positive .127

Negative -.116

Kolmogorov-Smirnov Z .806

Asymp. Sig. (2-tailed) .534

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

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 64.239 4.593 13.985 .000

PROFIT -.017 .266 -.010 -.065 .949 .946 1.057

UMUR .736 .232 .473 3.172 .003 .946 1.057

a. Dependent Variable: A.DELAY

Model Summaryb Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .471a .222 .180 11.38599 2.091

a. Predictors: (Constant), UMUR, PROFIT b. Dependent Variable: A.DELAY


(2)

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 1367.065 2 683.533 5.273 .010b

Residual 4796.710 37 129.641

Total 6163.775 39

a. Dependent Variable: A.DELAY

b. Predictors: (Constant), UMUR, PROFIT Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 64.239 4.593 13.985 .000

PROFIT -.017 .266 -.010 -.065 .949

UMUR .736 .232 .473 3.172 .003

a. Dependent Variable: A.DELAY

Model Summaryb Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .471a .222 .180 11.38599 2.091

a. Predictors: (Constant), UMUR, PROFIT b. Dependent Variable: A.DELAY


(3)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 12.21745874

Most Extreme Differences

Absolute .166

Positive .104

Negative -.166

Kolmogorov-Smirnov Z 1.048

Asymp. Sig. (2-tailed) .222

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


(4)

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 70.777 4.786 14.787 .000

Zscore(PROFIT) -.504 2.599 -.040 -.194 .847 .614 1.630

Zscore(LN.T.ASET) .795 2.165 .063 .367 .716 .885 1.130

ABSPRO.ASET 4.084 3.141 .266 1.300 .202 .625 1.599

a. Dependent Variable: A.DELAY

Model Summaryb Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .236a .056 -.023 12.71633 1.957

a. Predictors: (Constant), ABSPRO.ASET, Zscore(LN.T.ASET), Zscore(PROFIT) b. Dependent Variable: A.DELAY

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 70.777 4.786 14.787 .000

Zscore(PROFIT) -.504 2.599 -.040 -.194 .847

Zscore(LN.T.ASET) .795 2.165 .063 .367 .716

ABSPRO.ASET 4.084 3.141 .266 1.300 .202


(5)

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40

Normal Parametersa,b Mean 0E-7

Std. Deviation 10.85977136

Most Extreme Differences

Absolute .103

Positive .085

Negative -.103

Kolmogorov-Smirnov Z .654

Asymp. Sig. (2-tailed) .785

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


(6)

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 79.488 3.108 25.578 .000

Zscore(UMUR) 5.573 1.848 .443 3.016 .005 .960 1.042

Zscore(LN.T.ASET) -1.497 1.975 -.119 -.758 .453 .840 1.191

ABSUMUR.ASET -2.920 2.424 -.192 -1.205 .236 .813 1.230

a. Dependent Variable: A.DELAY

Model Summaryb Model R R Square Adjusted R

Square

Std. Error of the Estimate

Durbin-Watson

1 .504a .254 .192 11.30321 2.193

a. Predictors: (Constant), ABSUMUR.ASET, Zscore(UMUR), Zscore(LN.T.ASET) b. Dependent Variable: A.DELAY

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 79.488 3.108 25.578 .000

Zscore(UMUR) 5.573 1.848 .443 3.016 .005

Zscore(LN.T.ASET) -1.497 1.975 -.119 -.758 .453

ABSUMUR.ASET -2.920 2.424 -.192 -1.205 .236


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