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All Journal Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Abdillah Teguh Permana
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Computer Science & IT

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Implementasi Data Mining untuk Analisis Data Penjualan dengan Menggunakan Algoritma Naïve Bayes : (Studi Kasus : KPRI Kokarnaba Baturraden) Lifa Sholiah; Ito Setiawan; Abdillah Teguh Permana; Iqbal Yusuf Azhari; Wakhid Sayudha Rendra Graha Alrashid
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.475

Abstract

KPRI KOKARNABA Baturraden faces challenges in managing increasingly complex sales data, particularly in identifying the most in-demand products to maximize profit. This study aims to analyze sales patterns using the Naïve Bayes algorithm as a probability-based classification method. The collected sales data were analyzed to identify categories of best-selling and less popular products within the cooperative. The results indicate that the Naïve Bayes algorithm has an accuracy rate of 77.56% in predicting product categories. This research is expected to assist the cooperative in optimizing stock management and improving member satisfaction.
Co-Authors Iqbal Yusuf Azhari Ito Setiawan Lifa Sholiah Wakhid Sayudha Rendra Graha Alrashid