International Journal Software Engineering and Computer Science (IJSECS)
Vol. 5 No. 1 (2025): APRIL 2025

K-Means Clustering Analysis of Poverty Data in Cilacap District

Kiki Setiawan (Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika)
Kastum (Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika)
Yuliya Putri Pratama (Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika)



Article Info

Publish Date
01 Apr 2025

Abstract

Poverty stands as a complex structural obstacle within social development frameworks. The COVID-19 pandemic intensified poverty dynamics in Indonesia which saw poverty rates increase by 9.78% in March and reach 10.19% by September. Local Bureau of Statistics data shows that the poverty rate in Cilacap Regency dropped to 10.99% (around 191,000 people) in March 2024 from 10.68% (186,080 people) in March 2023. The study uses k-means clustering methodology for analysis and maps poverty-prone areas utilizing QGIS software. The analysis revealed 12 sub-districts and 14 neighborhood units (RW) alongside a single community unit (RT) that show unique poverty characteristics. The silhouette coefficient evaluation produced a 0.55 score which showed a moderate cluster structure and acceptable cluster placement. The research provides empirical evidence about poverty distribution which shows how data mining methods can enhance spatial socioeconomic studies. The study presents a detailed analysis of poverty stratification across Cilacap Regency through the application of sophisticated computational methods.

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Journal Info

Abbrev

ijsecs

Publisher

Subject

Computer Science & IT

Description

IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer ...