LAMPIRAN 1
DATA PERUSAHAAN
No Kode Nama Emiten Kriteria Sampel Klasifikasi
1 2 3
17. RMBA Bentoel internsional Investama Tbk √ √ X Tobacco Manufactures
35. ETWA Eterindo Wahanatama Tbk. [S] √ √ X Chemicals
54. IMAS Indomobil Sukses Internasional Tbk. X X X Automotive & Components
73. LTLS Lautan Luas Tbk. [S] √ √ X Ceramics, Glass, Porcelain
101.PROD Sara Lee Body Care Indonesia,Tbk X X X Cosmetics and Household
102.SHDA Sari Husada Tbk X X X Pharmaceuticals
103.SCPI Schering Plough Indonesia Tbk. √ √ X Pharmaceuticals
112.SOBI Sorini Agro Asia Corporinndo Tbk. √ √ X Chemicals
113.SCCO Sucaco Tbk. √ √ X Cable
114.SULI Sumalindo Lestari Jaya Tbk. √ √ √ 14 Wood Industries
115.IKBI Sumi Indo Kabel Tbk. [S] √ √ X Cable
116.STXM Sunson Textile Manufacture Tbk. √ X √ Textile, Garment
117.SPMA Suparma Tbk. √ √ X Pulp & Paper
118.SAIP Surabaya Agung Industry Pulp Tbk. √ √ √ 15 Pulp & Paper
119.SIMM Surya Intrindo Makmur Tbk. √ √ √ 16 Footwear
120.SUDI Surya Dumai Industri,Tbk X X X Food and Beverages
121.TOTO Surya Toto Indonesia Tbk. [S] √ √ X Ceramics, Glass, Porcelain
122.TAPI Taisho Pharmaceutical Indonesia, Tbk √ √ X Pharmaceuticals
123.TBMS Tembaga Mulia Semanan Tbk. √ √ √ 17 Metal and Allied Products
124.TFCO Tifico Fiber Indonesia Tbk. [S] √ √ √ 18 Textile, Garment
125.AISA Tiga Pilar Sejahtera Food Tbk. √ √ X Food and Beverages
126.TIRT Tirta Mahakam Resources Tbk. √ √ √ 19 Wood Industries
127.FPNI Titan Kimia Nusantara Tbk. [S] √ √ X Plastics & Packaging
128.INRU Toba Pulp Lestari Tbk. [S] X √ X Pulp & Paper
129.TRST Trias Sentosa Tbk. [S] √ √ X Plastics & Packaging
130.TURI Tunas Ridean Tbk √ √ X Plastics & Packaging
131.ULTJ Ultra Jaya Milk Tbk. [S √ √ X Food and Beverages
132.UNIC Unggul Indah Cahaya Tbk. [S] √ √ X Chemicals
133.UNVR Unilever Indonesia Tbk [S] √ √ X Cosmetics and Household
134.UNTX Unitex Tbk. X √ √ Textile, Garment
LAMPIRAN 2
HASIL REGRESI LOGISTIK PENGUJIAN
GET DATA /TYPE=XLS /FILE='D:\Kuliah ^^V\Skripsi ku ^.^V\draft baru\sampling (Autosaved).xls' /SHEET=name 'Sheet1' /CELLRANGE=full /READNAMES=on /ASSUMEDSTRWIDTH=32767. LOGISTIC REGRESSION VARIABLES NGC /METHOD=ENTER RS KAP FD /CLASSPLOT /PRINT=GOODFIT CORR ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1]
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 80 100.0
Missing Cases 0 .0
Total 80 100.0
Unselected Cases 0 .0
Total 80 100.0
a. If weight is in effect, see classification table for the total number of
cases.
Dependent Variable Encoding
Original
Value Internal Value
0 0
Iteration Historya,b,c
Iteration -2 Log likelihood
Coefficients
Constant
Step 0 1 47.246 -1.700
2 42.866 -2.308
3 42.623 -2.496
4 42.622 -2.512
5 42.622 -2.512
a. Constant is included in the model.
b. Initial -2 Log Likelihood: 42.622
c. Estimation terminated at iteration number 5
because parameter estimates changed by less than
.001.
Classification Tablea,b
Observed
Predicted
N/GC
Percentage
Correct
0 1
Step 0 N/GC 0 74 0 100.0
1 6 0 .0
Overall Percentage 92.5
a. Constant is included in the model.
b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Variables not in the Equation
b. Constant is included in the model.
Iteration Historya,b,c,d
Iteration -2 Log likelihood
Coefficients
Constant RS REPUT BANKRUPT Step 1 1 45.708 -1.843 -.002 .065 -.291
2 39.322 -2.749 -.004 .156 -.762
3 37.476 -3.524 -.006 .244 -1.462
4 36.704 -4.338 -.006 .286 -2.281 5 36.375 -5.228 -.006 .301 -3.175
6 36.242 -6.175 -.006 .304 -4.123
7 36.190 -7.153 -.006 .305 -5.101
8 36.171 -8.144 -.006 .305 -6.093
9 36.164 -9.141 -.006 .305 -7.089
10 36.161 -10.140 -.006 .305 -8.088
11 36.160 -11.139 -.006 .305 -9.088 12 36.160 -12.139 -.006 .305 -10.087
13 36.159 -13.139 -.006 .305 -11.087
14 36.159 -14.139 -.006 .305 -12.087
15 36.159 -15.139 -.006 .305 -13.087
16 36.159 -16.139 -.006 .305 -14.087
17 36.159 -17.139 -.006 .305 -15.087 18 36.159 -18.139 -.006 .305 -16.087
19 36.159 -19.139 -.006 .305 -17.087
20 36.159 -20.139 -.006 .305 -18.087 a. Method: Enter
b. Constant is included in the model.
c. Initial -2 Log Likelihood: 42.622
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 6.462 3 .091
Block 6.462 3 .091
Model 6.462 3 .091
Model Summary
Step -2 Log likelihood
Cox & Snell R
Square
Nagelkerke R
Square
1 36.159a .078 .188
a. Estimation terminated at iteration number 20 because
maximum iterations has been reached. Final solution cannot be
found.
Hosmer and Lemeshow Test
Step Chi-square Df Sig.
1 9.642 8 .291
Contingency Table for Hosmer and Lemeshow Test N/GC = 0 N/GC = 1
Total Observed Expected Observed Expected
Step 1 1 8 8.000 0 .000 8
2 8 8.000 0 .000 8
3 8 8.000 0 .000 8
4 8 7.963 0 .037 8
5 8 7.138 0 .862 8
6 7 7.088 1 .912 8
7 9 7.970 0 1.030 9
8 5 7.080 3 .920 8
Contingency Table for Hosmer and Lemeshow Test N/GC = 0 N/GC = 1
Total Observed Expected Observed Expected
Step 1 1 8 8.000 0 .000 8
2 8 8.000 0 .000 8
3 8 8.000 0 .000 8
4 8 7.963 0 .037 8
5 8 7.138 0 .862 8
6 7 7.088 1 .912 8
7 9 7.970 0 1.030 9
8 5 7.080 3 .920 8
9 6 6.886 2 1.114 8
10 7 5.876 0 1.124 7
Contingency Table for Hosmer and Lemeshow Test N/GC = 0 N/GC = 1
Total Observed Expected Observed Expected
Step 1 1 8 8.000 0 .000 8
2 8 8.000 0 .000 8
3 8 8.000 0 .000 8
4 8 7.963 0 .037 8
5 8 7.138 0 .862 8
6 7 7.088 1 .912 8
7 9 7.970 0 1.030 9
8 5 7.080 3 .920 8
9 6 6.886 2 1.114 8
Classification Tablea
Observed
Predicted
N/GC
Percentage
Correct
0 1
Step 1 N/GC 0 74 0 100.0
1 6 0 .0
Overall Percentage 92.5
a. The cut value is .500
Classification Tablea
Observed
Predicted
N/GC Percentage
Correct
0 1
Step 1 N/GC 0 74 0 100.0
1 6 0 .0
Overall Percentage 92.5
a. The cut value is .500
Correlation Matrix
Constant RS REPUT BANKRUPT
Step 1 Constant 1.000 .000 .000 1.000
RS .000 1.000 .221 .000
REPUT .000 .221 1.000 .000
