Daftar Nama Perusaahan. yang ada di Industri Consumer Goods periode
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1 99 Lampiran 1 Daftar Nama Perusaahan yang ada di Industri Consumer Goods periode KODE AISA ALTO CEKA CLEO DLTA ICBP INDF HOKI MLBI MYOR PSDN ROTI SKBM SKLT STTP ULTJ GGRM HMSP RMBA WIIM CINT KICI LMPI WOOD ADES KINO MBTO MRAT TCID UNVR DVLA INAF KAEF KLBF MERK NAMA PERUSAHAAN Tiga Pilar Sejahtera Food Tbk Tri Banyan Tirta Tbk Cahaya Kalbar Tbk Sariguna Primatirta Tbk Delta Djakarta Tbk Indofood CBP Sukses Makmur Tbk Indofood Sukses Makmur Tbk Buyung Poetra Sembada Tbk Multi Bintang Indonesia Tbk Mayora Indah Tbk Prashida Aneka Niaga Tbk Nippon Indosari Corporindo Tbk Sekar Bumi Tbk Sekar Laut Tbk Siantar Top Tbk Ultrajaya Milk Industri and Trading Company Tbk Gudang Garam Tbk Handjaya Mandala Sampoerna Tbk Bentoel International Investama Tbk Wismilak Inti Makmur Tbk Chitose Intenational Tbk Kedaung Indan Can Tbk Langgeng Makmur Industry Tbk Integra Indocabinet Tbk Akasha Wira International Tbk Kino Indonesia Tbk Martina Beto Tbk Mustika Ratu Tbk Mandom Indonesia Tbk Unilever Indonesia Tbk Darya Varia Laboratoria Tbk Indofarma (Persero) Tbk Kimia Farma (Persero) Tbk Kalbe Farma Tbk Merck Indonesia Tbk
2 100 PYFA Pyridam Farma Tbk SCPI Merck Sharp Dohme Farma Tbk SIDO Industri Jamu dan Farmasi Sidomuncul Tbk SQBB Taisho Pharmaceutical Indonesia Tbk TSPC Tempo Scan Pasific Tbk Sumber : Data Diolah (2017) Lampiran 2. Uji Normalitas Data Model Variables Entered/Removed a Variables Entered 1 LN_FATO, CR, SQRT_ROA, LN_ITO, GPM, LN_DER, LN_TATO, DAR, SQRT_NPM b a. Dependent Variable: E Variables Removed b. All requested variables entered. Method. Enter Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), LN_FATO, CR, SQRT_ROA, LN_ITO, GPM, LN_DER, LN_TATO, DAR, SQRT_NPM b. Dependent Variable: E Sumber : Data Diolah menggunakan spps.24
3 101 ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression b Residual Total a. Dependent Variable: E b. Predictors: (Constant), LN_FATO, CR, SQRT_ROA, LN_ITO, GPM, LN_DER, LN_TATO, DAR, SQRT_NPM Model Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta 1 (Constant) SQRT_ROA SQRT_NPM GPM DAR LN_DER CR LN_ITO LN_TATO LN_FATO a. Dependent Variable: E t Sig. Descriptive Statistics N Skewness Kurtosis Statistic Statistic Std. Error Statistic Std. Error Unstandardized Residual Valid N (listwise) 101
4 102 Lampiran 3. Uji Diskriminan Analysis Case Processing Summary Unweighted Cases N Percent Valid Excluded Missing or out-of-range group codes At least one missing discriminating variable Both missing or out-ofrange group codes and at least one missing discriminating variable Total 0.0 Total
5 103 Group Statistics Valid N (listwise) Mean Std. Deviation Unweighted Weighted.00 ROA NPM GPM DAR DER CR ITO TATO FATO ROA NPM GPM DAR DER CR ITO TATO FATO Total ROA NPM GPM DAR DER CR ITO TATO FATO
6 104 Tests of Equality of Group Means Wilks' Lambda F df1 df2 Sig. ROA NPM GPM DAR DER CR ITO TATO FATO Sumber : Data diolah menggunakan spss.24 Log Determinants Rank Log Determinant Pooled within-groups The ranks and natural logarithms of determinants printed are those of the group covariance matrices. Test Results Box's M F Approx df1 15 df Sig..000 Tests null hypothesis of equal population covariance matrices.
7 105 Variables Entered/Removed a,b,c,d Min. D Squared Between Exact F Step Entered Statistic Groups Statistic df1 df2 Sig. 1 NPM and E-7 2 DER and E-9 3 TATO and E-9 4 ROA and E-11 5 CR and E-11 At each step, the variable that maximizes the Mahalanobis distance between the two closest groups is entered. a. Maximum number of steps is 18. b. Maximum significance of F to enter is.05. c. Minimum significance of F to remove is.10. d. F level, tolerance, or VIN insufficient for further computation. Step Tolerance Variables in the Analysis Sig. of F to Min. D Remove 1 NPM Squared Between Groups 2 NPM and 1.00 DER and NPM and 1.00 DER and 1.00 TATO and NPM and 1.00 DER and 1.00 TATO and 1.00 ROA and NPM and 1.00 DER and 1.00 TATO and 1.00 ROA and 1.00 CR and 1.00
8 106 Wilks' Lambda Number of Exact F Step Variables Lambda df1 df2 df3 Statistic df1 df2 Sig Eigenvalues Function Eigenvalue % of Variance Cumulative % Canonical Correlation a a. First 1 canonical discriminant functions were used in the analysis. Standardized Canonical Discriminant Function Coefficients Function 1 ROA NPM DER CR TATO.796 Structure Matrix Function 1 NPM.638 ROA.487 DER TATO.348
9 107 FATO a.320 DAR a GPM a.142 ITO a.130 CR Pooled withingroups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. a. This variable not used in the analysis. Canonical Discriminant Function Coefficients Function 1 ROA NPM.200 DER CR TATO (Constant) Unstandardized coefficients
10 108 Functions at Group Centroids Function Unstandardized canonical discriminant functions evaluated at group means Classification Processing Summary Processed 128 Excluded Missing or out-of-range group codes At least one missing discriminating variable Used in Output 128 Sumber : Data diolah menggunakan spss Prior Probabilities for Groups Cases Used in Analysis Prior Unweighted Weighted Total Classification Function Coefficients ROA NPM DER CR
11 109 TATO (Constant) Fisher's linear discriminant functions Tabel Classification Results a,c Original Crossvalidated b Count Negatif Positif % Negatif Positif Count Negatif Positif % Negatif Positif Predicted Group Membership Negatif a. 93.0% of original grouped cases correctly classified. Positif Total b. Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case. c. 92.2% of cross-validated grouped cases correctly classified.
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