DATA MINING DALAM MENENTUKAN TINGKAT KELAYAKAN PENERIMAAN BANTUAN BEDAH RUMAH PADA DESA SIALANG BUAH DENGAN MENGGUNAKAN ALGORITMA C4.5

Abstract

Sialang Buah is a village located near the coastal area. Approximately 75% of the village's population consists of economically disadvantaged families, facing challenges in terms of income, education, and living conditions. The research problem of this study is how to predict the eligibility level for the recipients of a housing renovation assistance program. The objective of this study is to predict the eligibility level for the recipients of the housing renovation assistance program using the C4.5 algorithm. Direct interviews were conducted to gather information and data about the potential recipients of the housing renovation assistance program, as well as data from previous recipients. The results of the study showed that out of the 58 potential recipients used for testing, 30 were classified as "Eligible" and 28 as "Not Eligible". These prediction results can be used as a supporting tool in decision-making through discussions between the village government and the BPD (Badan Pemusyawarah Desa). The C4.5 algorithm, trained on 218 data points and implemented on the 58 potential recipients, achieved an accuracy rate of approximately 95%..