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Ariefana Ria Riszky
Department of Informatics, Universitas Mercu Buana
Computer Science & IT Electrical & Electronics Engineering

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Data Mining Menggunakan Algoritma Apriori untuk Rekomendasi Produk bagi Pelanggan Ariefana Ria Riszky; Mujiono Sadikin
Jurnal Teknologi dan Sistem Komputer Volume 7, Issue 3, Year 2019 (July 2019)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.359 KB) | DOI: 10.14710/jtsiskom.7.3.2019.103-108

Abstract

The implementation of a marketing strategy requires a reference so that promotion can be on target, such as by looking for similarities between product items. This study examines the application of the association rule method and apriori algorithm to the purchase transaction dataset to assist in forming candidate combinations among product items for customer recommended product promotion. The purchase transaction dataset was collected in October and November 2018 with a total data of 1027. In the experiment, the minimum value of support is 85%, and the minimum confidence value is 90% by processing data using the Weka software 3.9 version. Apriori algorithm can form association rules as a reference in the promotion of company products and decision support in providing product recommendations to customers based on defined minimum support and confidence values.
Co-Authors Mujiono Sadikin