Author : M. W. Talakua*, Julia Nimasratu, E. R. Persulessy, Y. A. Lesnussa, M. Y. Matdoan
One indicator to assess the success rate of a countrys development can be seen from the countrys achievement in providing health insurance. This study discusses the utilization of K-Means Algorithm for clustering or grouping of Regency and City in Maluku Province based on the similarity of regional characteristics in terms of indicators of mortality of local health status, namely birth rate, crude mortality rate, infant mortality rate and under-five mortality rate and mother mortality rate. The results obtained from this research, there are three groups and also there are some differences that are found according to the characteristics of each variable. Key words: Degree of Health, Cluster Analysis, K-Means.
Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD