b b Analisis Faktor Risiko Terhadap Kejadian Stroke di RSUP H. Adam Malik Medan

Dependent Variable Encoding Original Value Internal Value tidak ada ada 1 Block 0: Beginning Block Classification Table

a,b

Observed Predicted kejadianstroke Percentage Correct tidak ada ada Step 0 Kejadianstroke tidak ada 33 .0 ada 33 100.0 Overall Percentage 50.0 a. Constant is included in the model. b. The cut value is ,500 Variables in the Equation B S.E. Wald df Sig. ExpB Step 0 Constant .000 .246 .000 1 1.000 1.000 Variables not in the Equation Score df Sig. Step 0 Variables Usia .497 1 .481 Overall Statistics .497 1 .481 Block 1: Method = Enter Universitas Sumatera Utara Omnibus Tests of Model Coefficients Chi-square df Sig. Step 1 Step .500 1 .480 Block .500 1 .480 Model .500 1 .480 Model Summary Step -2 Log likelihood Cox Snell R Square Nagelkerke R Square 1 90.996 a .008 .010 a. Estimation terminated at iteration number 3 because parameter estimates changed by less than ,001. Classification Table a Observed Predicted kejadianstroke Percentage Correct tidak ada ada Step 1 Kejadianstroke tidak ada 23 10 69.7 ada 25 8 24.2 Overall Percentage 47.0 a. The cut value is ,500 Variables in the Equation B S.E. Wald df Sig. ExpB 95,0 C Lower Step 1 a Usia -.201 .286 .493 1 .483 .818 .4 Constant .782 1.142 .469 1 .493 2.187 Universitas Sumatera Utara Variables in the Equation B S.E. Wald df Sig. ExpB 95,0 C Lower Step 1 a Usia -.201 .286 .493 1 .483 .818 .4 a. Variables entered on step 1: usia. LOGISTIC REGRESSION VARIABLES kejadianstroke METHOD=ENTER jeniskelamin PRINT=CI95 CRITERIA=PIN0.05 POUT0.10 ITERATE20 CUT0.5. Logistic Regression Case Processing Summary Unweighted Cases a N Percent Selected Cases Included in Analysis 66 100.0 Missing Cases .0 Total 66 100.0 Unselected Cases .0 Total 66 100.0 a. If weight is in effect, see classification table for the total number of cases. Dependent Variable Encoding Original Value Internal Value tidak ada ada 1 Block 0: Beginning Block Universitas Sumatera Utara Classification Table

a,b

Observed Predicted kejadianstroke Percentage Correct tidak ada ada Step 0 kejadianstroke tidak ada 33 .0 ada 33 100.0 Overall Percentage 50.0 a. Constant is included in the model. b. The cut value is ,500 Variables in the Equation B S.E. Wald df Sig. ExpB Step 0 Constant .000 .246 .000 1 1.000 1.000 Variables not in the Equation Score df Sig. Step 0 Variables jeniskelamin 3.155 1 .076 Overall Statistics 3.155 1 .076 Block 1: Method = Enter Omnibus Tests of Model Coefficients Chi-square df Sig. Step 1 Step 3.187 1 .074 Block 3.187 1 .074 Model 3.187 1 .074 Universitas Sumatera Utara Model Summary Step -2 Log likelihood Cox Snell R Square Nagelkerke R Square 1 88.308 a .047 .063 a. Estimation terminated at iteration number 3 because parameter estimates changed by less than ,001. Classification Table a Observed Predicted kejadianstroke Percentage Correct tidak ada ada Step 1 kejadianstroke tidak ada 24 9 72.7 ada 17 16 48.5 Overall Percentage 60.6 a. The cut value is ,500 Variables in the Equation B S.E. Wal d df Sig. ExpB 95,0 C.I.for EXPB Lower Upper Step 1 a jeniskel amin -.920 .524 3.08 9 1 .079 .398 .143 1.112 Consta nt 1.496 .892 2.81 4 1 .093 4.462 a. Variables entered on step 1: jeniskelamin. LOGISTIC REGRESSION VARIABLES kejadianstroke METHOD=ENTER riwayatkeluargastroke PRINT=CI95 CRITERIA=PIN0.05 POUT0.10 ITERATE20 CUT0.5. Universitas Sumatera Utara Logistic Regression Case Processing Summary Unweighted Cases a N Percent Selected Cases Included in Analysis 66 100.0 Missing Cases .0 Total 66 100.0 Unselected Cases .0 Total 66 100.0 a. If weight is in effect, see classification table for the total number of cases.