Data Mining Menggunakan Algoritma Apriori untuk Rekomendasi Produk Perusahaan

Data Mining using Apriori Algorithm for Recommendation of Company Products

Ariefana Ria Riszky -  Department of Informatics, Universitas Mercu Buana, Indonesia
*Mujiono Sadikin -  Department of Informatics, Universitas Mercu Buana, Indonesia
Received: 28 Dec 2018; Revised: 12 Jun 2019; Accepted: 12 Jun 2019; Published: 31 Jul 2019; Available online: 4 Aug 2019.
Open Access Copyright (c) 2019 Jurnal Teknologi dan Sistem Komputer
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In Volume 7, Issue 3, Year 2019 (July 2019)
Statistics: 304
Abstract
The implementation of a marketing strategy requires a reference so that promotion can be on target, for example 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. The purchase transaction dataset was collected in October and November 2018. In the experiment, the minimum value of support is 85% and the minimum confidence value is 90% by processing data using 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 minimum support and confidence values.

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Keywords
apriori algorithm; association rule; product recommendation; data mining; product promotion

Article Metrics:

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