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All Journal Jurnal Imajinasi Jurnal Informatika Ekonomi Bisnis
Said, Abdul Azis
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Arts Humanities Economics, Econometrics & Finance

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Journal : Jurnal Informatika Ekonomi Bisnis

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Klasterisasi Dana Bantuan Pada Program Keluarga Harapan (PKH) Menggunakan Metode K-Means Said, Abdul Azis; Defit, Sarjon; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (June 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.893 KB) | DOI: 10.37034/infeb.v3i2.66

Abstract

The Family of Hope Program (PKH) is a program that aims to reduce poverty and improve the quality of human resources. Optimizing the provision of assistance in accordance with the expectations of those in need. Data on the poor or integrated social welfare data is needed as a reference for grouping. This study aims to make it easier for the selection team to provide assistance in accordance with the predetermined criteria whether or not they deserve to receive the assistance. The data used in the study is data from 2019. The data processing in this study uses the K-Means Clustering method with 3 clusters, namely Cluster 1 (C1) Nearly Poor Households (RTHM), Cluster 2 (C2) Poor Households (RTM), Cluster 3 (C3) Very Poor Households (RTSM). The results of the clustering process with 2 iterations state that for Cluster 1 the amount of data is, for Cluster 2 the amount of data, and for Cluster 3 the amount of data. So this research is very helpful in relocating targeted assistance according to the family hope cluster.
Co-Authors Alimuddin Caco Cahyadi, Dian Humaerah, Andi Fatimah Mayangsari, Kartini Nurabdiansyah, Nurabdiansyah Sarjon Defit Tai, Ronal Edy Yunus, Yuhandri