JUSIFO : Jurnal Sistem Informasi
Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024

A Comparative Study of the Performance of KNN, NBC, C4.5, and Random Forest Algorithms in Classifying Beneficiaries of the Kartu Indonesia Sehat Program

Nabillah, Putri (Unknown)
Permana, Inggih (Unknown)
Afdal, M. (Unknown)
Muttakin, Fitriani (Unknown)
Marsal, Arif (Unknown)

Article Info

Publish Date
30 Jun 2024

Abstract

This study evaluates the performance of various algorithms in determining eligible recipients for the Kartu Indonesia Sehat program. The Random Forest algorithm demonstrated the highest accuracy, precision, and recall, with values of 72.08%, 72.41%, and 99.64%, respectively. The emphasis on recall helps minimize errors in identifying eligible recipients. Additionally, the C4.5 algorithm reduced the total number of variables from 33 to 8, highlighting its computational efficiency. The findings provide valuable insights for the Social Affairs Office of Dumai City in making informed decisions regarding KIS eligibility. The results underscore the effectiveness of using algorithmic approaches to enhance the accuracy and efficiency of aid distribution processes.

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Journal Info
JUSIFO : Jurnal Sistem Informasi
Website

Abbrev

jusifo

Publisher

Universitas Islam Negeri Raden Fatah Palembang

Subject

Description

JUSIFO (Jurnal Sistem Informasi) is an Information System Journal that published by Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang. JUSIFO (Jurnal Sistem Informasi) publishes numerous research articles concerning the articles that ...