<![CDATA[The healthy family index is an index used to provide an overview of the health conditions in a family. The health status of families in Central Java Province varies in each district/city, so health development priorities are also different. Based on indications of a healthy family, this study seeks to classify Central Java Province's districts and cities to determine the high/low quality of healthy families in each district/city in order to aid the government in maximizing its efforts to enhance health. The combination of district/city in Central Java Province was carried out using cluster analysis using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and the Partitioning Around Medoids (PAM) algorithm. The outcomes of grouping using the PAM algorithm obtained 4 clusters where cluster one had 16 cluster members, cluster two had 10 cluster members, cluster three had 8 cluster members, and cluster four had 1 cluster members. Grouping using the DBSCAN algorithm produces 2 clusters and 3 noise. There are many members in each cluster, namely cluster one has 29 cluster members and cluster two has 3 cluster members. Comparing the grouping results using the silhouette index value, it was found that the DBSCAN algorithm was the best algorithm with a value of the silhouette index of 0.1425. The description of the characteristics obtained is that cluster two is a cluster that has a lower average of 6 healthy family indicators compared to cluster one.]]>
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