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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL INTEGRASI Jurnal Mantik Penusa Jurnal Linguistik Komputasional Jurnal Mantik Jurnal Karya untuk Masyarakat (JKuM)
Maya Cendana, Maya
Universitas Bunda Mulia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : JURNAL INTEGRASI

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ANALISIS PERBANDINGAN ALGORITMA NAIVE BAYES, J48,DAN RANDOM FOREST TREE DALAM PENINGKATAN LOYALITAS PELANGGAN UMKM DENGAN VOUCHER BELANJA Maya Cendana; Silvester Dian Handy Permana
JURNAL INTEGRASI Vol 11 No 2 (2019): Jurnal Integrasi - Oktober 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.502 KB) | DOI: 10.30871/ji.v11i2.1157

Abstract

Information technology has been used for a long time for MSME businesses. Many people who have MSME businesses use online stores to promote their businesses. To be able to attract old customers to shop back to the online store, one of them is by giving a shopping voucher. Shopping vouchers are given to existing customers who have the potential to shop back to online stores. In determining which customer is the right data mining algorithm is needed to find the right information where the customer can shop again. But the error of choosing an algorithm can result in not being optimal in the projected income. In this study, we will analyze and compare the Naive Bayes, J48, and Random Forest Tree algorithms for case studies of online stores. This study involved 7 criteria that would be used to become material in data processing. From the results of this study, a random forest tree is the best algorithm to determine the potential of online store customers. The results of this study are used to help the decision-making process of giving shopping vouchers to customers so that MSME businesses can run and get optimal profits
Co-Authors Ade Syahputra Alfin Wijaya Azhari S.N. Chyquitha Danuputri Destriana Widyaningrum Ester Lumba Hakim, Lukman Irma Ardiana Silvester Dian Handy Permana, Silvester Dian Handy