CLUSTER ANALYSIS OF POVERTY, OPEN UNEMPLOYMENT AND EDUCATION PERCENTAGE IN CENTRAL JAVA FOR THE 2020 PERIOD
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
Full Text:
PDFReferences
Akramunnisa, A.-, & Fajriani, F. (2020). K-Means Clustering Analysis pada Persebaran Tingkat Pengangguran Kabupaten/Kota di Sulawesi Selatan. Jurnal Varian, 3(2), 103–112. https://doi.org/10.30812/varian.v3i2.652
angrayni, afrita. (2019). Problematika pendidikan di Indonesia. 4. https://doi.org/10.31227/osf.io/u9wg2
Badan Pusat Statistik. (2020a). Berita Resmi Statistik Keadaan Kemiskinan Provinsi Jawa Tengah.
Badan Pusat Statistik. (2020b). Berita Resmi Statistik Keadaan Ketenagakerjaan Provinsi Jawa Tengah.
Badrudin, R. (2017). Ekonomika Otonomi Daerah (2nd ed.). UPP STIM YKPN.
Dewita Hia, Y. (2015). Strategi Dan Kebijakan Pemerintah Dalam Menanggulangi Pengangguran. Economica, 1(2), 208–213. https://doi.org/10.22202/economica.2013.v1.i2.121
Kakushadze, Z. dan W. Y. (2017). K-Means and Cluster Models for Cancer Signatures. Biomolecular Detection and Qu Antification, 13, 7–31.
Ratnawati, D., Suwitri, S., & Rengga, A. (2013). Implementasi Peraturan Daerah Kabupaten Kudus Nomor 2 Tahun 2010 Tentang Wajib Belajar 12 (Dua Belas) Tahun di Kabupaten Kudus. Semarang. Retrieved from. http://www.fisip.undip.ac.id
Royat, S. (2015). Kebijakan Pemerintah Dalam Penanggulangan Kemiskinan. Kajian Bidang Kesejahteraan Masyarakat, 1, 41–51.
Sukirno, S. (2006). Makroekonomi Teori Pengantar. PT RajaGrafindo Persada.
Widyasoro, R. (2014). Kemiskinan DiKabupaten Gresik. Jurnal Ilmiah Mahasiswa FEB UB Retrieved From, 1(2), 1–17.
Yacoub, Y. (2012). Pengaruh Tingkat Pengangguran terhadap Tingkat Kemiskinan Kabupaten / Kota di Provinsi Kalimantan Barat. 8, 176–185.
DOI: https://doi.org/10.26618/jeb.v17i2.6485
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Jurnal Ekonomi Balance
This work is licensed under a Creative Commons Attribution 4.0 International License.
Balance : Journal of Economics