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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Nusantara Community Empowerment Review
Husaini, Arinda Putri
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Journal : Jurnal Teknologi Dan Sistem Informasi Bisnis

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Sistem Prediksi Penjualan Produk APD Terlaris di PT A3 Karunia Sidoarjo menggunakan Metode Naive Bayes Husaini, Arinda Putri; Lisdiyanto, Angga
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i2.1266

Abstract

PT. A3 Karunia has been generating daily sales data but has not fully optimized its utilization, leading to a buildup of data. Therefore, data mining can be employed to address this issue. One of the data mining applications utilizes the Naïve Bayes method. This research develops a web-based prediction system using PHP and MySQL. The system utilizes 2 years' worth of sales data summarized into quarters. This results in a total of 8 quarters of sales data, which will serve as attributes in the Naive Bayes algorithm. The dataset used consists of 110 records, with 30% (32 records) designated as test classification data. By employing the Naive Bayes algorithm, classification results are obtained. The classification of test data yields an accuracy of 90.62%, with a breakdown of 3 misclassifications and the remaining 29 data points classified correctly.
Co-Authors Arda Surya Editya Ekavanda, Wirahandy Ferdyansyah, Moch. Arief Fitrianto, Rizal Akbar Lisdiyanto, Angga