CLUSTER ANALYSIS OF POVERTY, OPEN UNEMPLOYMENT AND EDUCATION PERCENTAGE IN CENTRAL JAVA FOR THE 2020 PERIOD

Anis Sukha Anifa

Abstract


This study aims to categorize districts/cities in Central Java Province based on cluster analysis of poverty, open unemployment and education level. The population and sample used in this study are 35 districts/cities in Central Java Province in 2020. The research data was taken from BPS secondary data. Data were analyzed using SPSS application with k-means cluster analysis. The results of this study explain that 35 regencies/cities in Central Java Province are divided into 2 clusters. The characteristics of cluster 1 have values above the average for the variables of poverty and education, but the open unemployment rate is below the average. The characteristics of cluster 2 have values above the average for the open unemployment rate variable, but the poverty and education variables have values below the average. Cluster 1 consists of districts Banyumas, Purbalingga, Banjarnegara, Kebumen, Purworejo, Wonosobo, Magelang, Boyolali, Klaten, Wonogiri, Karanganyar, Sragen, Grobogan, Blora, Rembang, Pati, Demak, Semarang, Temanggung, Pemalang and Brebes. Meanwhile, Cluster 2 consists of the districts of Cilacap, Sukoharjo, Kudus, Jepara, Kendal, Batang, Pekalongan, Tegal. In addition, there are also the cities of Magelang, Surakarta, Salatiga, Semarang, Pekalongan and Tegal.


Keywords


cluster analysis, poverty percentage, open unemployment rate, and education level

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DOI: https://doi.org/10.26618/jeb.v17i2.6485

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