2020年爪哇中部贫困、公开失业和教育百分比的聚类分析

Anis Sukha Anifa
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摘要

本研究旨在基于贫困、公开失业和教育水平的聚类分析对中爪哇省的地区/城市进行分类。本研究使用的人口和样本为2020年中爪哇省的35个区/市。研究数据来源于BPS的二手数据。数据采用SPSS软件进行k-means聚类分析。本研究的结果解释了中爪哇省35个县/城市被分为2个集群。对于贫困和教育变量,集群1的特征值高于平均值,但公开失业率低于平均值。对于开放的失业率变量,集群2的特征值高于平均值,但贫困和教育变量的值低于平均值。集群1由Banyumas、Purbalingga、Banjarnegara、Kebumen、Purworejo、Wonosobo、Magelang、Boyolali、Klaten、Wonogiri、Karanganyar、Sragen、Grobogan、Blora、Rembang、Pati、Demak、三宝垄、Temanggung、Pemalang和Brebes区组成。与此同时,第2集群由Cilacap、Sukoharjo、Kudus、Jepara、Kendal、Batang、Pekalongan、Tegal等地区组成。此外,还有麦吉朗、苏拉卡塔、萨拉提加、三宝垄、北加隆岸和提哥等城市。
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CLUSTER ANALYSIS OF POVERTY, OPEN UNEMPLOYMENT AND EDUCATION PERCENTAGE IN CENTRAL JAVA FOR THE 2020 PERIOD
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.
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