Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Vol. 5 No. 2 (2024): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)

Penerapan Data Mining untuk Menentukan Produk Terlaris pada PT Joynare Mitra Teknologi menggunakan Metode Naive Bayes

Dadang Iskandar Mulyana (Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika)
Ali Muhammad Fadhil (Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika)

Article Info

Publish Date
10 May 2024

Abstract

The research applies the Naive Bayes method to determine the best-selling products at PT Joynare Mitra Teknologi. The contribution of this research is to provide a reference for other companies interested in using similar techniques to analyze their product data. Testing was carried out by processing data using Microsoft Excel and RapidMiner, with training and testing data. The test results show that the Naive Bayes method can classify best-selling products with a high level of accuracy, reaching 87.00%. Apart from that, the resulting precision reached 72.41%, and recall was 80.77%. The best-selling products in hardware sales such as motherboards, CPUs, RAM, hard disks, SSD, and printers can be identified through data analysis. The conclusion from the research is that the Naive Bayes method is very appropriate to use to optimize sales strategies for hardware products based on customer preferences.

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Journal Info
Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Website

Abbrev

jimik

Publisher

STMIK Indonesia Banda Aceh

Subject

Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

Description

Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia. The journal serves as a platform for researchers, academicians, practitioners, and policymakers to share their ...