Analysis of K-Mean Clustering in Grouping Child Mortality Rate in Indonesia

The death rate is an indicator of health status in society. One of these indicators is the Child Mortality Rate (CMR), which reflects environmental health conditions which directly influence children's health levels. The KMeans algorithm divides data into 3 groups (Clusters), namely Clusters 0, 1 and 2 to produce information on child mortality rates in all districts/cities in Indonesia. This modeling produces 3 clusters, namely cluster 0 (Districts/Cities with Medium Child Mortality Rates) with 124 Regencies/Cities, cluster 1 (Regency/Cities with High Child Mortality Rates) with 31 Regencies/Cities and cluster 2 (Regency/Cities with High Child Mortality Rates). Low Child Mortality) 391 Districts/Cities. This clustering produces a Davies Bouldin Index value of 0.493, the center point of Cluster 0 is 2.744, the center point of Cluster 1 is 6.185 and the center point of Cluster 2 is 13.756.