The problem of inequality in development between regencies/cities in Central Java still occurs even though economic development in the province is quite successful. To overcome this, a regional-based policy is needed. This study aims to cluster regions based on development performance indicators of human, infrastructure, and economy to support regional-based policy making. Principal component analysis (PCA) and factor analysis are used to reduce development performance variables that are correlated, while cluster analysis is used to cluster regencies/cities based on development performance indicators. From PCA and factor analysis formed 3 factors of human development performance, 3 factors of infrastructure development performance, and 2 factors of economic development performance, while cluster analysis produced 5 regencies/cities clusters. Development performance of human is high, infrastructure is very high, and economy is high owned by Cluster 1, which consists of 4 cities. Cluster 2 characterized by development performance of human is very high, infrastructure is high, and economy is very high, consisting of 1 city. Cluster 3 characterized by development performance of human is very low, infrastructure is medium, and economy is medium, consists of 7 regencies. Cluster 4 characterized by development performance of human is medium, infrastructure is low, and economy is low, consists of 12 regencies. Ten other regencies and one city are located in Cluster 5 with the characteristics development performance of human is high, infrastructure is high, and economy is low.
CITATION STYLE
Sugiarto, S., & Wibowo, W. (2020). KLASTERISASI KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN INDIKATOR KINERJA PEMBANGUNAN. Jurnal Litbang Sukowati : Media Penelitian Dan Pengembangan, 3(2), 14. https://doi.org/10.32630/sukowati.v3i2.161
Mendeley helps you to discover research relevant for your work.