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All Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Putri Septiani Azura
STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
Computer Science & IT Control & Systems Engineering

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Analisa Penjualan Produk Oli Dengan Metode Data Mining Asosiasi Algoritma Apriori Pada PT. Mitra Petra Sejahtera Putri Septiani Azura; M. Safii; Fitri Rizki
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i1.52

Abstract

Competition in the business world makes business people have to think harder in developing strategies to deal with such competition. Marketing strategy requires a reference so that promotion is right on target, for example by looking for similarities between product items. This research was conducted by applying the association rule a priori algorithm method to the sales transaction dataset, to form a candidate combination between product items. The sales transaction dataset was taken in January to December 2019. In this study, a minimum support value of 25% and a minimum confidence value of 60% were determined with data processing using Microsoft Excel and RapidMiner software. A priori algorithm can produce association rules as a reference in product promotion and decision support in providing product recommendations to consumers based on the specified minimum support and confidence values.
Co-Authors Fitri Rizki M. Safii