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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Syahputra, Alfian Panji
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

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Analisa Perbandingan Metode Klasifikasi Data Mining untuk Menentukan Tingkat Kemiskinan: Penelitian Pangaribuan, Amser; Latif, Muhammad Rafi Al; Syahputra, Alfian Panji; Fauzan, Muhammad; Azhima, Fadli; Rahman, Mohammad Naufal Fathur
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5077

Abstract

Poverty is a social problem that requires proper data management and analysis to support decision-making. This study aims to classify the poverty status of the community into two categories, namely poor and non-poor, based on a socioeconomic dataset. The dataset used went through a data preprocessing stage that included data cleaning and attribute adjustment. The data processing process was carried out using classification techniques in data mining using a data processing application. Model evaluation was conducted to assess the classification capability based on the results of data testing. The results of the study indicate that the dataset used is able to support the process of classifying poverty status effectively. This research is expected to become the basis for the development of information systems that support decision-making in determining the poverty status of the community. Data Classification, Poverty Dataset, Poor and Non-Poor, Data Mining, Information Systems
Co-Authors Azhima, Fadli Latif, Muhammad Rafi Al Muhammad fauzan Pangaribuan, Amser Rahman, Mohammad Naufal Fathur