Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer
Vol 21 No 2 (2022)

Implementation of K-Means Clustering on Poverty Indicators in Indonesia

Suwardi Annas (Universitas Negeri Makassar)
Bobby Poerwanto (Universitas Cokroaminoto Palopo)
Sapriani Sapriani (Universitas Negeri Makassar)
Muhammad Fahmuddin S (Universitas Negeri Makassar)

Article Info

Publish Date
31 Mar 2022

Abstract

This study aims to cluster all districts/cities in Indonesia related to poverty indicators. The attributes used are poverty gap index and poverty severity index. The data used comes from BPS. The method used is K-Means clustering, and the results show that by using the elbow and silhouette index methods, the optimal number of clusters is 2, where for cluster 1, it can be defined as a cluster with an area with a high poverty gap index and poverty severity index compared to cluster 2. As a result, cluster 1 has 42 districts/cities, and 472 for cluster 2.

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Journal Info
Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer
Website

Abbrev

matrik

Publisher

Universitas Bumigora

Subject

Computer Science & IT

Description

MATRIK adalah salah satu Jurnal Ilmiah yang terdapat di Universitas Bumigora Mataram (eks STMIK Bumigora Mataram) yang dikelola dibawah Lembaga Penelitian dan Pengabadian kepada Masyarakat (LPPM). Jurnal ini bertujuan untuk memberikan wadah atau sarana publikasi bagi para dosen, peneliti dan ...