Analisa Penjualan Produk Oli Dengan Metode Data Mining Asosiasi Algoritma Apriori  Pada PT. Mitra Petra Sejahtera

Putri Septiani Azura; M. Safii; Fitri Rizki

doi:10.30645/kesatria.v2i1.52

Analisa Penjualan Produk Oli Dengan Metode Data Mining Asosiasi Algoritma Apriori Pada PT. Mitra Petra Sejahtera

Putri Septiani Azura^(1*), M. Safii⁽²⁾, Fitri Rizki⁽³⁾,

(1) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(2) AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(*) Corresponding Author

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.

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DOI: https://doi.org/10.30645/kesatria.v2i1.52

DOI (PDF): https://doi.org/10.30645/kesatria.v2i1.52.g52

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Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Online ISSN: 2720-992X
Organized by STIKOM Tunas Bangsa
Published by LPPM STIKOM Tunas Bangsa
W: https://tunasbangsa.ac.id/pkm/index.php/brahmana

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0
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