Penerapan Algoritma K-Means untuk Pengelompokan Tingkat Kemiskinan Kabupaten dan Kota di Provinsi Lampung

Rizki Aldiansyah; Irhamna Yuda Pratama; Popi Deviana; Ira Fatmala; Nuari Anisa Sivi

doi:10.55606/juisik.v6i2.2503

Penerapan Algoritma K-Means untuk Pengelompokan Tingkat Kemiskinan Kabupaten dan Kota di Provinsi Lampung

Authors

Rizki Aldiansyah Universitas Nahdlatul Ulama Lampung
Irhamna Yuda Pratama Universitas Nahdlatul Ulama Lampung
Popi Deviana Universitas Nahdlatul Ulama Lampung
Ira Fatmala Universitas Nahdlatul Ulama Lampung
Nuari Anisa Sivi Universitas Nahdlatul Ulama Lampung

DOI:

https://doi.org/10.55606/juisik.v6i2.2503

Keywords:

Clustering, Data Mining, K-Means, Lampung Province, Poverty

Abstract

Disparities in welfare levels across regions remain a significant challenge in poverty alleviation efforts in Lampung Province. This study aims to identify poverty patterns among regencies and municipalities in Lampung Province through a Clustering approach using the K-Means algorithm. The analysis utilizes secondary data obtained from Statistics Indonesia (BPS) of Lampung Province in 2025, covering 15 regencies and municipalities with three variables: poverty rate, Human Development Index (HDI), and per capita expenditure. The research process consisted of data selection, preprocessing, Z-Transformation normalization, and Clustering using the K-Means algorithm implemented in Altair AI Studio (RapidMiner). The Clustering process generated three groups of regions with distinct poverty characteristics: a low-poverty cluster consisting of Bandar Lampung City and Metro City, a high-poverty cluster comprising seven regencies, and a moderate-poverty cluster consisting of six regencies. Cluster evaluation using the Davies-Bouldin Index produced a score of 0.931, indicating a reasonably good Clustering performance. The findings provide a clearer understanding of regional poverty characteristics and may serve as supporting information for determining development priorities and designing more targeted poverty alleviation programs in Lampung Province.

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Published

2026-07-06

How to Cite

Rizki Aldiansyah, Irhamna Yuda Pratama, Popi Deviana, Ira Fatmala, & Nuari Anisa Sivi. (2026). Penerapan Algoritma K-Means untuk Pengelompokan Tingkat Kemiskinan Kabupaten dan Kota di Provinsi Lampung. Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 6(2), 409–420. https://doi.org/10.55606/juisik.v6i2.2503