Bahtera Adimina Samudra Tbk

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(2)

Daftar Nama Perusahaan Yang Menjadi Sampel Untuk Model Penelitian Pertama

Tahun 2001

No Nama Perusahaan

singkatan

1 Bahtera Adimina Samudra Tbk

BASS

2 Berlian Laju Tanker Tbk.

BLTA

3 Citra Marga Nusaphala Persada Tbk.

CMNP

4 H. M. Sampoerna Tbk.

HMSP

5 Indofood Sukses Makmur Tbk.

INDF

6 Kalbe Farma Tbk.

KLBF

7 Lautan Luas Tbk.

LTLS

8 Semen Gresik (Persero) Tbk.

SMGR

Tahun 2002

No Nama Perusahaan

Singkatan

Bahtera Adimina Samudra Tbk

BASS

Berlian Laju Tanker Tbk.

BLTA

H. M. Sampoerna Tbk.

HMSP

Indofood Sukses Makmur Tbk.

INDF

Indosat Tbk.

ISAT

Kalbe Farma Tbk.

KLBF

Lautan Luas Tbk.

LTLS

Mayora Indah Tbk.

MYOR

Semen Gresik (Persero) Tbk.

SMGR

Telekomunikasi Indonesia Tbk.

TLKM

Tahun 2003

No Nama Perusahaan

Singkatan

1 Alfa Retailindo Tbk

ALFA

2 Astra Graphia Tbk

ASGR

BLTA

4 Charoen Pokphand Indonesia Tbk.

CPIN

5 Duta Pertiwi Tbk

DUTI

HMSP

INDF

8 Indosat Tbk.

ISAT

(3)

9 Kalbe Farma Tbk.

KLBF

10 Lautan Luas Tbk.

LTLS

11 Matahari Putra Prima Tbk.

MPPA

12 Mayora Indah Tbk.

MYOR

SMGR

14 Summarecon Agung Tbk.

SMRA

15 Telekomunikasi Indonesia Tbk.

TLKM

16 Ultrajaya Milk Industry & Trading Company Tbk. ULTJ

Tahun 2004

No Nama Perusahaan

Singkatan

1

Astra Graphia Tbk

ASGR

2

BLTA

3

Berlina Tbk.

BRNA

4

Duta Pertiwi Tbk

DUTI

5

H. M. Sampoerna Tbk.

HMSP

6

Humpuss Intermoda Transportasi Tbk.

HITS

7

INDF

8

Indosat Tbk.

ISAT

9

Lautan Luas Tbk.

LTLS

10 Matahari Putra Prima Tbk.

MPPA

MYOR

SMGR

13 Sona Topas Tourism Industry Tbk.

SONA

14 Summarecon Agung Tbk.

SMRA

TLKM

16 Tunas Baru Lampung Tbk.

TBLA

(4)

Daftar Nama Perusahaan Yang Menjadi Sampel Untuk Model Penelitian Kedua

dan Peringkat Yang Didapat

Tahun 2001

No Nama Perusahaan

Singkatan Peringkat

1

Citra Marga Nusaphala Persada Tbk.

CMNP

BB

2

HMSP

AA-

3

INDF

AA+

4 Lautan Luas Tbk.

LTLS

A

SMGR

A

Tahun 2002

No Nama Perusahaan

Singkatan Peringkat

BLTA A-

HMSP AA

INDF

AA+

4 Indosat Tbk.

ISAT

AA+

5 Lautan Luas Tbk.

LTLS

A

SMGR SD

TLKM AAA

Tahun 2003

No Nama Perusahaan

Singkatan Peringkat

1 Alfa Retailindo Tbk

ALFA A-

2 Astra Graphia Tbk

ASGR A-

BLTA A-

4 Charoen Pokphand Indonesia Tbk.

CPIN

A-

5 Duta Pertiwi Tbk

DUTI

BBB-

HMSP AA

INDF

AA+

8 Indosat Tbk.

ISAT

AA+

9 Lautan Luas Tbk.

LTLS

A-

10 Matahari Putra Prima Tbk.

MPPA A+

MYOR A

SMRA A-

TLKM AAA

14 Ultrajaya Milk Industry & Trading Company Tbk. ULTJ

BBB

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Tahun 2004

No Nama Perusahaan

Singkatan Peringkat

1

Astra Graphia Tbk

ASGR A-

2

BLTA A

3

Duta Pertiwi Tbk

DUTI

BBB-

4

HMSP AA+

5

INDF

AA

6

Indosat Tbk.

ISAT

AA+

7

Lautan Luas Tbk.

LTLS

BBB+

8

Matahari Putra Prima Tbk.

MPPA A+

9

Mayora Indah Tbk.

MYOR A

SMGR A+

SMRA BBB

TLKM AAA

13 Tunas Baru Lampung Tbk.

TBLA BBB

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Output SPSS Model Penelitian Pertama

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

CONACC 50 -.09211 1.50895 .9698496 .19331099

STDROA 50 .00315 .68655 .0861368 .16703909

DIVASS 50 .00109 .11496 .0207506 .02421433

LEV 50 .09310 1.44696 .3082426 .20160343

SIZE

50 11.57692 13.70142 12.521371

8 .56943294

Valid N (listwise) 50

Regression

Variables Entered/Removed(b)

Model Variables Entered Variables

Removed Method

1 SIZE, LEV,

STDROA, DIVASS(a)

. Enter

a All requested variables entered. b Dependent Variable: CONACC

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

1 .608(a) .370 .314 .16011272 1.851

a Predictors: (Constant), SIZE, LEV, STDROA, DIVASS b Dependent Variable: CONACC

ANOVA(b)

Model

Sum of

Squares df

Mean

Square F Sig.

1 Regression .677 4 .169 6.607 .000(a)

Residual _1.154 ₄₅ _.026

Total 1.831 49

a Predictors: (Constant), SIZE, LEV, STDROA, DIVASS b Dependent Variable: CONACC

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Collinearity Diagnostics(a)

Model

Dimen

sion Eigenvalue

Condition

Index Variance Proportions

(Constant) STDROA DIVASS LEV SIZE

1 1 3.624 1.000 .00 .02 .02 .01 .00

2 _.755 _2.191 _.00 _.90 _.01 _.02 _.00

3 .437 2.879 .00 .01 .62 .00 .00

4 _.183 _4.453 _.00 _.07 _.13 _.91 _.00

5 .001 67.475 1.00 .00 .21 .05 1.00

a Dependent Variable: CONACC

Casewise Diagnostics(a)

Case Number Std. Residual CONACC

3 _3.814 _1.50895

Residuals Statistics(a)

Minimum Maximum Mean Std. Deviation N

Predicted Value .2785147 1.1198118 .9698496 .11758316 50

Residual

-.37062469 .61059982 .00000000 .15343839 50

Std. Predicted Value _-5.880 _1.275 _.000 _1.000 ₅₀

Std. Residual -2.315 3.814 .000 .958 50

(8)

Explore

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Unstandardized Residual 50 100.0% 0 .0% 50 100.0%

Descriptives

Statistic Std. Error

Mean _.0000000 _.02169947

Lower Bound -.0436067

95% Confidence

Interval for Mean _{Upper Bound}

.0436067

5% Trimmed Mean -.0026645

Median _-.0188223

Variance .024

Std. Deviation _.15343839

Minimum -.37062

Maximum _.61060

Range .98122

Interquartile Range _.17353

Skewness .889 .337

Unstandardized Residual

Kurtosis _4.549 _.662

Tests of Normality

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Unstandardized Residual .112 50 .161 .918 50 .002

a Lilliefors Significance Correction

Unstandardized Residual Stem-and-Leaf Plot

Frequency Stem & Leaf

2.00 Extremes (=<-.33)

2.00 -2 . 04

1.00 -1 . 7

5.00 -1 . 00013

6.00 -0 . 555678

13.00 -0 . 0011233444444

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5.00 0 . 12224

3.00 0 . 557

7.00 1 . 0000113

3.00 1 . 778

2.00 2 . 02

1.00 Extremes (>=.61)

Stem width: .10000

Each leaf: 1 case(s)

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Regression

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method

1 _{SIZE, LEV,}

STDROA, DIVASS(a)

. Enter

a All requested variables entered. b Dependent Variable: ABS

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of

1 .465(a) .216 .146 .10051668 2.387

a Predictors: (Constant), SIZE, LEV, STDROA, DIVASS b Dependent Variable: ABS

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig.

1 Regressio

n .125 4 .031 3.100 .025(a)

Residual .455 45 .010

Total _.580 ₄₉

a Predictors: (Constant), SIZE, LEV, STDROA, DIVASS b Dependent Variable: ABS

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Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constan) .272 .356 .765 .448

STDROA .014 .087 .023 .159 .874 .984 1.016

DIVASS _-.449 _.787 _-.110 _-.571 _.571 _.570 _1.755

LEV .078 .059 .232 1.337 .188 .700 1.428

SIZE _-.015 _.029 _-.085 _-.513 _.611 _.767 _1.303

a Dependent Variable: ABS

Collinearity Diagnostics(a)

Model Dimension Eigenvalue

Condition

(Constant) STDROA DIVASS LEV SIZE

1 1 _3.624 _1.000 _.00 _.02 _.02 _.01 _.00

2 .755 2.191 .00 .90 .01 .02 .00

3 _.437 _2.879 _.00 _.01 _.62 _.00 _.00

4 .183 4.453 .00 .07 .13 .91 .00

5 .001 67.475 1.00 .00 .21 .05 1.00

Casewise Diagnostics(a)

Case Number Std. Residual ABS

3 _4.417 _.61060

Residuals Statistics(a)

Predicted Value _.0531647 _.4056087 _.1071162 _.05056138 ₅₀

Residual

-.10444627 .44400245 .00000000 .09632663 50

Std. Predicted Value -1.067 5.904 .000 1.000 50

Std. Residual _-1.039 _4.417 _.000 _.958 ₅₀

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Charts

(13)

Output SPSS Model Penelitian Kedua

Descriptives

Descriptive

Statistics

N Minimum Maximum Mean Std. Deviation

Rate ₃₉ _1.50 _8.00 _6.1459 _1.28558

CONACC 39 -.09211 1.50895 .9736851 .21451633

ROA ₃₉ _-.41502 _.17932 _.0465982 _.09005816

LEV 39 .11750 1.44696 .3100072 .21528646

Valid N (listwise) 39

Regression

Model

Variables Entered

Variables

Removed Method

1 LEV, ROA,

CONACC(a) . Enter

a All requested variables entered. b Dependent Variable: Rate

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of

1 .634(a) .402 .350 1.03623 2.340

a Predictors: (Constant), LEV, ROA, Cons b Dependent Variable: Rate

ANOVA(b)

Model

Sum of

1 Regression 25.221 3 8.407 7.829 .000(a)

Residual _37.582 ₃₅ _1.074

Total 62.803 38

a Predictors: (Constant), LEV, ROA, CONACC b Dependent Variable: Rate

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Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constan) 1.585 1.561 1.015 .317

CONACC 3.105 1.234 .518 2.517 .017 .404 2.478

ROA 11.188 2.351 .784 4.758 .000 .630 1.587

LEV _3.278 _1.157 _.549 _2.834 _.008 _.456 _2.194

a Dependent Variable: Rate

Collinearity Diagnostics(a)

Condition

(Constant) CONACC ROA LEV

1 1 2.927 1.000 .00 .00 .02 .01

2 _.778 _1.939 _.00 _.00 _.55 _.02

3 .288 3.188 .00 .02 .02 .32

4 _.007 _20.755 _1.00 _.98 _.41 _.65

Case Number Std. Residual Rate

11 _-3.198 _1.50

Residuals Statistics(a)

Predicted Value _3.5101 _7.5504 _6.1459 _.81469 ₃₉

Residual -3.31367 1.58657 .00000 .99449 39

Std. Predicted Value -3.235 1.724 .000 1.000 39

Std. Residual _-3.198 _1.531 _.000 _.960 ₃₉

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Explore

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Unstandardized Residual 39 100.0% 0 .0% 39 100.0%

Descriptives

Statistic Std. Error

Mean _.0000000 _.15924532

Lower Bound -.3223753

95% Confidence

Interval for Mean _{Upper Bound}

.3223753

5% Trimmed Mean .0545078

Median .2193298

Variance .989

Std. Deviation .99448674

Minimum -3.31367

Maximum _1.58657

Range 4.90024

Interquartile Range _1.18645

Skewness -.972 .378

Kurtosis _1.750 _.741

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Extreme Values

Case Number Value

1 3 1.58657

2 20 1.29144

3 ₈ _1.26820

4 32 1.25330

Highest

5 ₂₅ _1.18926

1 11 -3.31367

2 ₃₇ _-1.48736

3 6 -1.43712

4 ₃₉ _-1.34036

Unstandardize d Residual

Lowest

5 15 -1.34020

Tests of Normality

Kolmogorov-Smirnov(a) Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Unstandardized Residual _.125 ₃₉ _.126 _.940 ₃₉ _.038

a Lilliefors Significance Correction

Unstandardized Residual Stem-and-Leaf Plot

Frequency Stem & Leaf

1.00 Extremes (=<-3.3)

5.00 -1 . 03344

3.00 -0 . 689

9.00 -0 . 112234444

9.00 0 . 022444444

7.00 0 . 5578999

4.00 1 . 1222

1.00 1 . 5

Stem width: 1.00000

Each leaf: 1 case(s)

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Regression

Model Variables Entered Variables

Removed Method

1 LEV, ROA,

CONACC(a) . Enter

a All requested variables entered. b Dependent Variable: ABS

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of

1 .219(a) .048 -.034 .61011449 2.365

a Predictors: (Constant), LEV, ROA, CONACC b Dependent Variable: ABS

ANOVA(b)

Model

Sum of

1 Regression .655 3 .218 .587 .628(a)

Residual _13.028 ₃₅ _.372

Total 13.683 38

a Predictors: (Constant), LEV, ROA, CONACC b Dependent Variable: ABS

Collinearity Diagnostics(a)

Condition

(Constant) CONACC ROA LEV

1 1 _2.927 _1.000 _.00 _.00 _.02 _.01

2 .778 1.939 .00 .00 .55 .02

3 _.288 _3.188 _.00 _.02 _.02 _.32

4 .007 20.755 1.00 .98 .41 .65

Case Number Std. Residual ABS

11 3.560 3.31367

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Residuals Statistics(a)

Predicted Value .5338999 1.1414187 .7828069 .13129608 39

Residual

-.65553784

2.1722512

2 .00000000 .58553595 39

Std. Predicted Value _-1.896 _2.731 _.000 _1.000 ₃₉

Std. Residual -1.074 3.560 .000 .960 39