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All Journal Jurnal Ilmiah Wahana Pendidikan
I Wayan Setya Adi Nugraha
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Clustering Pemetaan Tingkat Kemiskinan di Provinsi Jawa Barat Menggunakan Algoritma K-Means I Wayan Setya Adi Nugraha
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 2 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.594 KB) | DOI: 10.5281/zenodo.7567622

Abstract

One of the problems Indonesia is still facing is the problem of poverty. The issue of poverty is complex and multifaceted in society and has become a government development priority. The percentage of poverty in Indonesia at the beginning of the pandemic in March increased by 9.78% and in September it increased by 10.19%. West Java ranks first in the highest level of extreme poverty in Indonesia with a total of 17,856 cases, reported on radarsukabumi.com. This study uses the clustering method with the k-means algorithm and mapping poverty-prone areas using QGIS. The results of grouping poverty-prone areas in West Java Province in 2015 to 2020 found 12 districts/cities not vulnerable, 14 districts/cities prone and 1 district/city very vulnerable. The results of the clustering evaluation using the silhouette coefficient that is equal to 0.55. The evaluation results fall into the category of medium structure with a reasonable interpretation of cluster placement.
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