Poverty Mapping in Central Java Province Using K-Means Algorithm

Deden Istiawan(1*)


(1) Akademi Ilmu Statistika Muhammadiyah Semarang
(*) Corresponding Author

Abstract


Prosperity has a relative, dynamic, and quantitative meaning. Until now, the formula is not finished because it will continue to grow along with the times. Public welfare is a condition where all citizens are always in a condition that is completely adequate in all their needs. Poverty in Central Java Province is still above national poverty. Poverty grouping is one way to focus on the people's budget in each region so that they can take development policies and strategies that are right on target and effective. In this study, the proposed K-means algorithm for classifying poverty in Central Java is based on poverty indicators. The results of the first cluster study consisted of 22 districts / cities with the category of not poor, the second cluster consisted of 13 districts / cities that were categorized as poor.

Keywords


Properity; Central Java; Clustering; K-means.

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References


Hafiludien, Amrul, and Deden Istiawan. 2018. “Penerapan Algoritma Self Organizing Maps Untuk Pemetaan Penyandang Kesejahteraan Sosial ( PMKS ) Di Provinsi Jawa Tengah Tahun 2016.” Pp. 84–92 in The 7th University Research Colloqium 2018 : URECOL. Surakarta: STIKES PKU Muhammadiyah Surakarta.

Hidayat, Rahman, Rochdi Wasono, and Moh Yamin Darsyah. 2017. “Pengelompokan Kabupaten/Kota Di Jawa Tengah Menggunakan Metode K-Means Dan Fuzzy C-Means.” Pp. 240–50 in Seminar Nasional Pendidikan, Sains dan Teknologi. Semarang: Universitas Muhammadiyah Semarang.

Mashfuufah, Syayidati, and Deden Istiawan. 2018. “Penerapan Partition Entropy Index , Partition Coefficient Index Dan Xie BeniIndex Untuk Penentuan Jumlah Klaster Optimal Pada Algoritma Fuzzy C -Means Dalam Pemetaan Tingkat Kesejahteraan Penduduk Jawa Tengah.” Pp. 51 –60 in The 7th University Research Colloqium 2018 : URECOL. Surakarta: STIKES PKU Muhammadiyah Surakarta.

Nidyashofa, Nurika, and Deden Istiawan. 2017. “Penerapan Algoritma Fuzzy C -Means Untuk Pengelompokan Kabupaten / Kota Di Jawa Tengah Berdasarkan Status Kesejahteraan Tahun 2015.” Pp. 23 –30 in The 6th University Research Colloquium 2017 : URECOL. Magelang: Universitas Muhammadiyah Magelang.

Ramdhani, Fitra, Abdul Hoyyi, and Moch. Abdul Mukid. 2015. “JURNAL GAUSSIAN Vol . 4 , No . 4 , Tahun 2015 Halaman.” Jurnal Gaussian 4(2006):875 –84.

Widiastuti, Minawati, and Edy Yusuf A. G. 2012. “Pemetaan Kemiskinan Kabupaten/Kota Di Provinsi Jawa Tengah Tahun 2002 Dan 2010 Menggunakan Analisis Klaster.” Diponegoro Journal of Economics 1(1):1 –14.


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DOI: https://doi.org/10.26714/jichi.v1i1.5380

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Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

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