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

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

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 h...

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Bibliographic Details
Main Authors: Putri Nabillah, Inggih Permana, M. Afdal, Fitriani Muttakin, Arif Marsal
Format: Article
Language:Indonesian
Published: Program Studi Sistem Informasi, Universitas Islam Negeri Raden Fatah Palembang 2024-06-01
Series:Jurnal Sistem Informasi
Subjects:
c4.5 algorithm
kartu indonesia sehat program
random forest algorithm
Online Access:https://jurnal.radenfatah.ac.id/index.php/jusifo/article/view/21536
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