ALGORITMA K-PROTOTYPES DALAM MELAKUKAN KLASTERISASI WILAYAH DI INDONESIA BERDASARKAN INDIKATOR PEMBANGUNAN EKONOMI
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Date
2023-05
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Elfitra
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.
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Keywords
Economic development indicators, cluster analysis, K-prototypes, silhouette index
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