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All Journal Charity : Jurnal Pengabdian Masyarakat International Journal of Economics, Business, and Entrepreneurship (IJEBE) Jurnal Pengabdian Mandiri Arus Jurnal Psikologi dan Pendidikan Journal of Big Data Analytic and Artificial Intelligence
Marhaeni
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Journal of Big Data Analytic and Artificial Intelligence

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Perbandingan Metode Klasifikasi Naïve Bayes dan C4.5 untuk Menentukan Potensi Nasabah Pada NSC Finance Marhaeni; Eviana Tjatur Putri; Gusmana, Roman
Journal of Big Data Analytic and Artificial Intelligence Vol 6 No 1 (2023): JBIDAI Juni 2023
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v6i1.36

Abstract

NSC Finance is a service business that provides loans to the public to meet their needs. However, NSC Finance does not use customer data to obtain necessary information. This research classifies customer data to gain information about promising customers, considered customers, and unpromising customers to loan re-offer. This study compares Naïve Bayes and C4.5 to help customer classification systems be more accurate by measuring accuracy using recall precision. These methods' comparative analyses are to investigate which methods have the highest classification accuracy. Therefore, the company can discover the highest accuracy rate of the classification results of these two methods. Results revealed that the classification patterns of 80 training data and 20 test data make it possible that data still have classification differences from the original data. Methods comparison indicated that the Naïve Bayes classification is better, with 85% accuracy, 94.44% precision, and 89.47% recall.
Co-Authors Agustina Ningsi Eviana Tjatur Putri Gusmana, Roman Maria Sonda Marta Dinata, Riadi Mustika, Lely Ros Rahmawati Subriah