## 4 Discussion  
Model 1's performance for Surabaya City was interpreted based on each predictor variable. Increasing the percentage of active integrated service posts (\(X_{1}\)) will increase the average number of infant deaths (\(Y_{1}\)), reduce the average number of under-5 deaths (\(Y_{2}\)) and increase the average number of maternal deaths (\(Y_{3}\)). However, \(X_{1}\) does not significantly affect the number of maternal deaths (\(Y_{3}\)). \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Parameter**} & \multicolumn{2}{c}{**Banyuwangi District (\(i=10\))**} & \multicolumn{3}{c}{**Surabaya City (\(i=37\))**} \\ \cline{2-7}  & **Estimate** & **Standard Error** & **Z Value** & **Estimate** & **Standard Error** & **Z Value** \\ \hline \(\hat{\mu}_{01}\) (\(u_{i},v_{i}\)) & \(-4.828\) & \(0.007138\) & \(-676.437\)* & \(-4.729\) & \(0.074794\) & \(-63.238\)* \\ \(\hat{\mu}_{11}\) (\(u_{i},v_{i}\)) & \(0.007\) & \(0.002722\) & \(2.689\)* & \(0.010\) & \(0.001115\) & \(8.738\)* \\ \(\hat{\mu}_{21}\) (\(u_{i},v_{i}\)) & \(0.015\) & \(0.004518\) & \(3.397\)* & \(0.009\) & \(0.001725\) & \(5.119\)* \\ \(\hat{\mu}_{31}\) (\(u_{i},v_{i}\)) & \(0.008\) & \(0.007047\) & \(1.110\) & \(0.015\) & \(0.001777\) & \(8.597\)* \\ \(\hat{\mu}_{41}\) (\(u_{i},v_{i}\)) & \(-3.686\) & \(0.008304\) & \(-443.894\)* & \(-3.680\) & \(0.061636\) & \(-59.976\)* \\ \(\hat{\mu}_{51}\) (\(u_{i},v_{i}\)) & \(0.0006\) & \(0.003548\) & \(0.175\) & \(-0.003\) & \(0.001202\) & \(-2.139\)* \\ \(\hat{\mu}_{02}\) (\(u_{i},v_{i}\)) & \(1.242\) & \(0.00081\) & \(1532.867\)* & \(1.249\) & \(0.005383\) & \(232.158\)* \\ \(\hat{\mu}_{12}\) (\(u_{i},v_{i}\)) & \(-0.025\) & \(0.015424\) & \(-1.595\) & \(-0.042\) & \(0.003436\) & \(-12.198\)* \\ \(\hat{\mu}_{22}\) (\(u_{i},v_{i}\)) & \(-0.159\) & \(0.037767\) & \(-4.225\)* & \(-0.114\) & \(0.007923\) & \(-14.398\)* \\ \(\hat{\mu}_{32}\) (\(u_{i},v_{i}\)) & \(0.048\) & \(0.062046\) & \(0.769\) & \(-0.002\) & \(0.010041\) & \(-0.176\)* \\ \(\hat{\mu}_{42}\) (\(u_{i},v_{i}\)) & \(7.193\) & \(0.000808\) & \(8902.213\)* & \(7.195\) & \(0.005621\) & \(1280.048\)* \\ \(\hat{\mu}_{52}\) (\(u_{i},v_{i}\)) & \(-0.020\) & \(0.018594\) & \(-1.083\) & \(-0.011\) & \(0.003638\) & \(-2.918\)* \\ \(\hat{\mu}_{63}\) (\(u_{i},v_{i}\)) & \(0.046\) & \(0.01062\) & \(28.508\)* & \(0.059\) & \(0.00937\) & \(6.349\)* \\ \(\hat{\mu}_{13}\) (\(u_{i},v_{i}\)) & \(0.014\) & \(0.014956\) & \(0.962\) & \(0.009\) & \(0.006989\) & \(1.405\) \\ \(\hat{\mu}_{23}\) (\(u_{i},v_{i}\)) & \(-0.142\) & \(0.020068\) & \(-7.092\)* & \(-0.123\) & \(0.006156\) & \(-19.954\)* \\ \(\hat{\mu}_{33}\) (\(u_{i},v_{i}\)) & \(0.023\) & \(0.028089\) & \(0.826\) & \(-0.014\) & \(0.01074\) & \(-1.298\) \\ \(\hat{\mu}_{43}\) (\(u_{i},v_{i}\)) & \(3.652\) & \(0.001021\) & \(3574.817\)* & \(3.653\) & \(0.007974\) & \(458.116\)* \\ \(\hat{\mu}_{53}\) (\(u_{i},v_{i}\)) & \(-0.010\) & \(0.018\) & \(-0.569\) & \(0.0003\) & \(0.00712\) & \(0.004\) \\ \(\tau\) (\(u_{i},v_{i}\)) & \(41.709\) & \(0.000228\) & \(182/74\)* & \(41.706\) & \(0.002148\) & \(19/415.9\)* \\ \hline \hline \end{tabular}
* Significant at \(\kappa=5\%\).  
\end{table} 
Table 5: Parameter estimate of the GWMPGR model with the fixed Gaussian kernel spatial weighted function for Banyuwangi District (\(i=10\)) and Surabaya City (\(i=37\)). Increasing the percentage of active family planning participants (\(X_{2}\)) will increase the average number of infant deaths (\(Y_{1}\)), reduce the average number of under-5 deaths (\(Y_{2}\)) and reduce the average number of maternal deaths (\(Y_{3}\)). Increasing the population with BPJS health insurance (\(X_{3}\)) will increase the average number of infant deaths (\(Y_{1}\)), reduce the average number of under-5 deaths (\(Y_{2}\)) and reduce the average number of maternal deaths (\(Y_{3}\)). However, \(X_{3}\) does not significantly affect the number of under-5 deaths (\(Y_{2}\)) or the number of maternal deaths (\(Y_{3}\)).