ALGORITMA K-PROTOTYPES DALAM MELAKUKAN KLASTERISASI WILAYAH DI INDONESIA BERDASARKAN INDIKATOR PEMBANGUNAN EKONOMI

Abstract

Unequal economic development is one of the causes of economic inequality. It is necessary to formulate appropriate policies as an effort to equalize economic development. This study aims to classify districts/cities based on indicators of economic development using the K-prototypes method in order to assist the government in formulating policies. The study shows that grouping 5 clusters is the optimal number of clusters with a silhouette value of 0.3027283. Clusters 1 to 5 have 192, 11, 210, 80 and 12 members respectively. The results of the mean difference test between clusters showed that only the HDI development variable was not significantly different between the 5 clusters.