Jurnal Ilmiah Multidisiplin Ilmu
Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)

PENERAPAN K-MEANS CLUSTERING UNTUK PENGELOMPOKAN WILAYAH BERDASARKAN TINGKAT KEMISKINAN DI INDONESIA

Sagita Maesarah (Unknown)
Zaehol Fatah (Unknown)



Article Info

Publish Date
16 Dec 2024

Abstract

Poverty is one of the problems that hinder national and regional growth. Poverty is the inability to meet the minimum standards of basic needs including food and non-food needs. Poor people are people who are below a limit or called the poverty line. The resources used are sourced from www.kaggle.com. In the process of data processing with the k-means Clustering method. The K-means Clustering method is a method of grouping existing data into several groups where the data in one group has the same characteristics as each other and has different characteristics from the data in the group. The results of the study show that regions in Indonesia can be grouped into several clusters with different poverty level characteristics. These clusters reveal specific patterns, such as the concentration of areas with high poverty in certain areas and the factors that contribute to these conditions. With this approach, the government and policy makers can identify priority areas and design more effective programs to reduce poverty levels..

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Journal Info

Abbrev

jimi

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Other

Description

Jurnal Ilmiah Multidisiplin Ilmu (JIMI) dengan e-ISSN : 3047-2121, p-ISSN : 3047-2113, merupakan platform publikasi jurnal Karya suatu hasil penelitian orisinil atau tinjauan Pustaka yang ditulis oleh Dosen, mahasiswa dan atau Peneliti lainnya. Ruang lingkup karya yang diterbitkan mencakup ...