Analisis Perbedaan Kinerja Perusahaan Sebelum dan Sesudah Penerapan Employee Stock Option Program Serta Dampak Manajemen Laba Sebagai Variabel Moderasi (Studi Kasus Perusahaan Yang Terdaftar Di Bursa Efek Indonesia) - Unika Repository

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LAMPIRAN

12 Bank Internasional Indonesia Tbk

BNII

2004

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Lampiran 2

Kinerja Perusahaan (T-2)

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Lampiran 3

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Lampiran 4

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Lampiran 5

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Lampiran 6

Elemen Perhitungan Manajemen Laba (T+1)

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No Tahun Perusahaan 1/TA t-1 SAL t (pendapatan) SAL t-1 (pendapatan) ∆ SAL t ∆ SAL t/TA t-1

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Lampiran 7

Elemen Perhitungan Manajemen Laba (T+2)

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No Tahun Perusahaan PPE t/TA t-1 β1 β2 β3 NDA DA

1 2002 AALI 0.34649446272972 1,203,744,747 0.052 -0.122 -0.0296815003841136 -0.1391

2 2002 ASGR 0.20291256379957 1,203,744,747 0.052 -0.122 -0.0169418067041783 -0.0856

3 2002 AUTO 0.19227562168445 1,203,744,747 0.052 -0.122 -0.0246704433391873 0.1301

4 2003 BBCA 0.01609920860213 1,203,744,747 0.052 -0.122 -0.0060838313711086 -0.0265

5 2003 BMTR 0.54121551552565 1,203,744,747 0.052 -0.122 -0.0690887662143724 0.0778

6 2004 INDF 0.39280471374858 1,203,744,747 0.052 -0.122 -0.0476454844111954 -0.0478

7 2004 UNVR 0.39470099190285 1,203,744,747 0.052 -0.122 -0.0355009405893259 0.0509

8 2005 BBRI 0.01802379390795 1,203,744,747 0.052 -0.122 -0.0076933063938630 0.0270

9 2005 ISAT 1.01246002819799 1,203,744,747 0.052 -0.122 -0.1207718802837930 -0.0573

10 2006 BDMN 0.02322206181414 1,203,744,747 0.052 -0.122 -0.0050260535589001 0.0210

11 2006 BNGA 0.01111689623012 1,203,744,747 0.052 -0.122 -0.0036750110769622 -0.0160

12 2006 BNII 0.01639109961249 1,203,744,747 0.052 -0.122 -0.0010262014579674 0.0151

13 2006 PGAS 1.03615891743006 1,203,744,747 0.052 -0.122 -0.1218519548013250 0.0861

14 2007 APEX 0.83345308384911 1,203,744,747 0.052 -0.122 -0.0977155689823172 0.0217

15 2007 RALS 0.27076649701615 1,203,744,747 0.052 -0.122 -0.0242980624031090 -0.0433

16 2008 MASA 0.90154979985912 1,203,744,747 0.052 -0.122 -0.0985464195695601 0.0450

17 2009 AKRA 0.58652833929210 1,203,744,747 0.052 -0.122 -0.0822860103001865 0.0010

18 2009 SOBI 0.58329627079930 1,203,744,747 0.052 -0.122 -0.0700820771394709 -0.1412

19 2009 WIKA 0.05756074063118 1,203,744,747 0.052 -0.122 -0.0055296110599523 -0.1142

20 2010 INDY 0.16288153284516 1,203,744,747 0.052 -0.122 -0.0131183084158789 0.1254

21 2011 POLY 0.31468870510995 1,203,744,747 0.052 -0.122 -0.0243416133208800 -0.8219

22 2012 BBTN 0.01776016705472 1,203,744,747 0.052 -0.122 -0.0117553966209959 0.0065

23 2012 BHIT 0.27045684306895 1,203,744,747 0.052 -0.122 -0.0333219438888441 0.0958

24 2012 MNCN 0.11206742719843 1,203,744,747 0.052 -0.122 -0.0218733743955420 0.0897

25 2012 SDRA 0.02591922311740 1,203,744,747 0.052 -0.122 -0.0198294592477330 -0.0471

26 2013 APLN 0.18136811094644 1,203,744,747 0.052 -0.122 -0.0209378109287253 -0.0158

27 2013 EXCL 0.87231242475647 1,203,744,747 0.052 -0.122 -0.1075694461377430 -0.0654

28 2013 GIAA 0.44308675408449 1,203,744,747 0.052 -0.122 -0.0498669622227444 -0.0158

29 2013 HRUM 0.27850665959988 1,203,744,747 0.052 -0.122 -0.0812165402448713 -0.0925

30 2013 KPIG 1.08256862282873 1,203,744,747 0.052 -0.122 -0.1289869593483840 0.2264

31 2013 WINS 0.00089936592603 1,203,744,747 0.052 -0.122 0.0078296625848352 -0.0531

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Lampiran 9 Statistik Deskriptif

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

roa sebelum 32 -.3278 .5354 .063675 .1599814

cr sebelum 32 .1084 9.4037 1.567426 1.6009292

dar sebelum 32 .0956 2.5723 .708972 .3995403

tato sebelum 32 .0306 2.4153 .678247 .6062840

roa sesudah 32 .0150 .5774 .105976 .1096793

cr sesudah 32 .1939 5.1581 1.739820 1.0769156

dar sesudah 32 .1806 2.9886 .642276 .4805476

tato sesudah 32 .0980 2.5173 .749473 .6501851

ml 32 -.9853 .1237 -.020588 .1955046

hb 32 .0005 .0971 .020626 .0222741

size 32 27.3802 32.4596 29.920484 1.3659271

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Lampiran 11 Uji Moderasi

ROA

Variables Entered/Removeda

Model Variables Entered Variables Removed Method 1 ml.hb, Normal Score of size

using Van der Waerden's Formula, Normal Score of ml using Van der

Waerden's Formula, Normal Score of hb using Van der Waerden's Formulab

. Enter

a. Dependent Variable: Normal Score of roa2 using Van der Waerden's Formula b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the Estimate

1 .716a _.512 _.440 _.6891357

a. Predictors: (Constant), ml.hb, Normal Score of size using Van der Waerden's Formula, Normal Score of ml using Van der Waerden's Formula, Normal Score of hb using Van der Waerden's Formula b. Dependent Variable: Normal Score of roa2 using Van der Waerden's Formula

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 13.470 4 3.367 7.091 .000b

Residual _12.823 ₂₇ _.475

Total _26.292 ₃₁

a. Dependent Variable: Normal Score of roa2 using Van der Waerden's Formula

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Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig. B Std. Error Beta

1 (Constant) .022 .124 .180 .859

Normal Score of ml using Van der Waerden's Formula

.029 .140 .029 .209 .836

Normal Score of hb using Van der Waerden's Formula

-.515 .140 -.515 -3.667 .001

Normal Score of size using Van der Waerden's Formula

-.432 .135 -.432 -3.204 .003

ml.hb .179 .188 .137 .952 .349

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N Predicted Value _-1.218593 _1.226846 _.000000 _.6591676 ₃₂ Residual _-2.0669088 _1.0324367 _.0000000 _.6431404 ₃₂ Std. Predicted Value _-1.849 _1.861 _.000 _1.000 ₃₂

Std. Residual _-2.999 _1.498 _.000 _.933 ₃₂

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One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 32

Normal Parametersa,b _Mean _.0000000

Std. Deviation .64314041 Most Extreme Differences Absolute .141

Positive .061

Negative -.141

Test Statistic .141

Asymp. Sig. (2-tailed) .107c

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

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CR

Model Variables Entered

Variables

Removed Method 1 ml.hb, size, hb,

mlb . Enter

a. Dependent Variable: cr sesudah b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R Square

1 .461a _.213 _.096 _1.02391

a. Predictors: (Constant), ml.hb, size, hb, ml b. Dependent Variable: cr sesudah

ANOVAa

1 Regression 7.646 4 1.911 1.823 .153b

Residual _28.307 ₂₇ _1.048

Total 35.952 31

a. Dependent Variable: cr sesudah

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Coefficientsa

Model

1 (Constant) 8.853 4.063 2.179 .038

ml .843 1.090 .153 .773 .446

hb -13.810 8.740 -.286 -1.580 .126

size -.227 .135 -.288 -1.677 .105

ml.hb .095 .314 .063 .304 .763

Minimum Maximum Mean Std. Deviation N Predicted Value

.6599 2.3360 1.7398 .49662 32 Residual

-1.42566 3.14920 .00000 .95557 32

Std. Predicted Value

-2.175 1.201 .000 1.000 32

Std. Residual

-1.392 3.076 .000 .933 32

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

DAR

a. Dependent Variable: Normal Score of dar2 using Van der Waerden's Formula

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Model Summaryb

a. Predictors: (Constant), ml.hb, Normal Score of size using Van der Waerden's Formula, Normal Score of ml using Van der Waerden's Formula, Normal Score of hb using Van der Waerden's Formula

b. Dependent Variable: Normal Score of dar2 using Van der Waerden's Formula

ANOVAa

Model Sum of Squares df Mean Square F Sig. 1 Regression 15.512 4 3.878 9.713 .000b

Residual 10.780 27 .399

Total 26.292 31

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ml.hb -.210 .172 -.161 -1.222 .232 a. Dependent Variable: Normal Score of dar2 using Van der Waerden's Formula

Minimum Maximum Mean Std. Deviation N Predicted Value -1.205143 1.415890 .000000 .7073827 32 Residual -1.1079842 1.1286410 .0000000 .5896959 32 Std. Predicted Value -1.704 2.002 .000 1.000 32

Std. Residual -1.754 1.786 .000 .933 32

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N 32

Positive .097

Negative -.125

Test Statistic .125

Asymp. Sig. (2-tailed) .200c,d

c. Lilliefors Significance Correction.

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TATO

Model Variables Entered Variables Removed Method 1 ml.hb, size, hb, mlb _{. Enter}

a. Dependent Variable: tato sesudah b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R Square

1 .669a _.448 _.366 _.51756

a. Predictors: (Constant), ml.hb, size, hb, ml b. Dependent Variable: tato sesudah

ANOVAa

1 Regression 5.873 4 1.468 5.481 .002b

Residual _7.232 ₂₇ _.268

Total 13.105 31

a. Dependent Variable: tato sesudah b. Predictors: (Constant), ml.hb, size, hb, ml

Coefficientsa

Model

1 (Constant) _7.847 _2.054 _3.821 _.001

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hb -10.170 4.418 -.348 -2.302 .029

size -.230 .068 -.484 -3.364 .002

ml.hb .133 .159 .145 .840 .409

a. Dependent Variable: tato sesudah

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N 32

Positive .152

Negative -.103

Test Statistic .152

Asymp. Sig. (2-tailed) .058c

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ROA

b. Dependent Variable: Normal Score of roa2 using Van der Waerden's Formula

ANOVAa

1 Regression 13.470 4 3.367 7.091 .000b

Residual _12.823 ₂₇ _.475

Total _26.292 ₃₁

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b. Predictors: (Constant), ml.hb, Normal Score of size using Van der Waerden's Formula, Normal Score of ml using Van der Waerden's Formula, Normal Score of hb using Van der Waerden's Formula

Coefficientsa a. Dependent Variable: Normal Score of roa2 using Van der Waerden's Formula

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Covariance

Collinearity Diagnosticsa

Std. Residual -2.999 1.498 .000 .933 32

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1 (Constan

t) 8.853 4.063 2.179 .038

ml .843 1.090 .153 .773 .446 .744 1.344 hb -13.810 8.740 -.286 -1.580 .126 .892 1.121 size -.227 .135 -.288 -1.677 .105 .988 1.012 ml.hb .095 .314 .063 .304 .763 .688 1.453 a. Dependent Variable: cr sesudah

Coefficient Correlationsa

Model ml.hb size hb ml

1 Correlations ml.hb 1.000 -.005 .289 -.476 size -.005 1.000 -.001 -.093 hb .289 -.001 1.000 -.001 ml -.476 -.093 -.001 1.000 Covariances ml.hb .098 .000 .792 -.163 size .000 .018 -.002 -.014 hb .792 -.002 76.395 -.013 ml -.163 -.014 -.013 1.189 a. Dependent Variable: cr sesudah

Model Dimension

Eigenvalu e

Condition Index

Variance Proportions

(Constant) ml hb size ml.hb

1 1 2.753 1.000 .00 .01 .05 .00 .02

2 1.383 1.411 .00 .24 .00 .00 .19

3 .517 2.308 .00 .66 .11 .00 .46

4 .346 2.820 .00 .07 .85 .00 .33

5 .001 52.608 1.00 .01 .00 1.00 .00

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Casewise Diagnosticsa

Case Number Std. Residual cr sesudah Predicted Value Residual

24 3.076 5.16 2.0089 3.14920

Minimum Maximum Mean Std. Deviation N Predicted Value .6599 2.3360 1.7398 .49662 32 Residual -1.42566 3.14920 .00000 .95557 32 Std. Predicted Value -2.175 1.201 .000 1.000 32

Std. Residual -1.392 3.076 .000 .933 32

Runs Test

Unstandardized Residual Test Valuea _-.20551

Cases < Test Value 16 Cases >= Test Value 16

Total Cases 32

Number of Runs 14

Z -.898

Asymp. Sig. (2-tailed) .369 a. Median

DAR

Model

Variables Entered

Variables

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1 ml.hb, Normal

b. Dependent Variable: Normal Score of dar2 using Van der Waerden's Formula

ANOVAa

1 Regression 15.512 4 3.878 9.713 .000b

Residual _10.780 ₂₇ _.399

Total _26.292 ₃₁

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Coefficientsa a. Dependent Variable: Normal Score of dar2 using Van der Waerden's Formula

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s Normal Score of size

Std. Residual -1.754 1.786 .000 .933 32

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Runs Test

Test Valuea _.13660

Cases < Test Value 16 Cases >= Test Value 16

Total Cases 32

Number of Runs 12

Z -1.617

Asymp. Sig. (2-tailed) .106 a. Median

TATO

Model

Variables Entered

Variables

Removed Method 1 ml.hb, size, hb,

mlb . Enter

a. Dependent Variable: tato sesudah b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R Square

Std. Error of the

Estimate Durbin-Watson

1 .669a _.448 _.366 _.51756 _1.820

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ANOVAa

1 Regression 5.873 4 1.468 5.481 .002b

Residual _7.232 ₂₇ _.268

Total _13.105 ₃₁

Coefficientsa

Model

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) _7.847 _2.054 _3.821 _.001

ml -1.056 .551 -.317 -1.916 .066 .744 1.344 hb -10.170 4.418 -.348 -2.302 .029 .892 1.121 size -.230 .068 -.484 -3.364 .002 .988 1.012 ml.hb .133 .159 .145 .840 .409 .688 1.453 a. Dependent Variable: tato sesudah

Coefficient Correlationsa

Model ml.hb size hb ml

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hb .202 .000 19.519 -.003 ml -.042 -.004 -.003 .304 a. Dependent Variable: tato sesudah

Model Dimension

Eigenvalu e

Condition Index

Variance Proportions

(Constant) ml hb size ml.hb

1 1 2.753 1.000 .00 .01 .05 .00 .02

2 1.383 1.411 .00 .24 .00 .00 .19

3 .517 2.308 .00 .66 .11 .00 .46

4 .346 2.820 .00 .07 .85 .00 .33

5 .001 52.608 1.00 .01 .00 1.00 .00

a. Dependent Variable: tato sesudah

Minimum Maximum Mean Std. Deviation N Predicted Value -.1093 1.6523 .7495 .43525 32 Residual -.69116 1.45536 .00000 .48301 32 Std. Predicted Value -1.973 2.074 .000 1.000 32

Std. Residual -1.335 2.812 .000 .933 32

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ROA

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Coefficientsa

Model

1 (Constant) _.478 _.080 _5.957 _.000

Normal Score of ml using

Van der Waerden's Formula .066 .091 .138 .727 .473 Normal Score of hb using

Van der Waerden's Formula .026 .091 .054 .283 .780 Normal Score of size using

Van der Waerden's Formula -.094 .087 -.198 -1.081 .289

ml.hb .128 .121 .206 1.056 .300

a. Dependent Variable: abs_res

Minimum Maximum Mean Std. Deviation N Predicted Value .1936 .7948 .4622 .14084 32 Residual -.55161 1.27214 .00000 .41623 32 Std. Predicted Value -1.907 2.361 .000 1.000 32 Std. Residual -1.237 2.852 .000 .933 32 a. Dependent Variable: abs_res

CR

Model

Variables Entered

Variables

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1 ml.hb, size, hb,

mlb . Enter

a. Dependent Variable: abs_res1 b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R Square

1 .336a _.113 _-.019 _.61836

a. Predictors: (Constant), ml.hb, size, hb, ml b. Dependent Variable: abs_res1

ANOVAa

1 Regression 1.310 4 .328 .857 .502b

Residual _10.324 ₂₇ _.382

Total 11.634 31

a. Dependent Variable: abs_res1

b. Predictors: (Constant), ml.hb, size, hb, ml

Coefficientsa

Model

1 (Constant) _2.581 _2.454 _1.052 _.302

ml .205 .658 .065 .311 .758

hb -8.947 5.279 -.325 -1.695 .102

size -.056 .082 -.125 -.687 .498

ml.hb -.093 .189 -.107 -.491 .627

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ANOVAa

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ml .110 .317 .068 .347 .731

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Model Summary

ANOVAa

1 Regression 13.470 4 3.367 7.091 .000b

Residual _12.823 ₂₇ _.475

Total 26.292 31

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hb -.105 .163 -.105 -.641 .527

ANOVAa

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1 Regression 15.512 4 3.878 9.713 .000b

Residual _10.780 ₂₇ _.399

Total 26.292 31

TATO

Model Variables Entered Variables Removed Method 1 ml.hb, size, hb, mlb _{. Enter}

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Model Summary

Model R R Square

Adjusted R Square

1 .669a _.448 _.366 _.51756

a. Predictors: (Constant), ml.hb, size, hb, ml

ANOVAa

1 Regression 5.873 4 1.468 5.481 .002b

Residual 7.232 27 .268

Total _13.105 ₃₁

Coefficientsa

Model

1 (Constant) 7.847 2.054 3.821 .001

ml -1.056 .551 -.317 -1.916 .066

hb -10.170 4.418 -.348 -2.302 .029

size -.230 .068 -.484 -3.364 .002

ml.hb .133 .159 .145 .840 .409