Implementation of the Association Method in the Analysis of Sales Data From Manufacturing Companies

Authors

  • Fachri Amsury Universitas Nusa Mandiri
  • Nanang Ruhyana Universitas Nusa Mandiri
  • Andry Agung Riyadi Universitas Nusa Mandiri
  • Ihsan Aulia Rahman Universitas Nusa Mandiri
(*) Corresponding Author

DOI:

https://doi.org/10.34288/jri.v5i1.201

Keywords:

Association, Apriori Algorithm, Data Mining, Knowledge Discovery in Database

Abstract

The company produces sales data every day. Over time, the data increases, and the amount becomes very large, and the data is only stored without understanding the benefits that exist from these data due to limitations in proper knowledge in analyzing the data, especially transaction data. Sale. In order to overcome these problems, a study focused on reprocessing sales transaction data in 2018 with a data mining technique approach using the Knowledge Discovery in Database concept using the association method and apriori algorithm and a supporting application, namely RapidMiner. This study aims to help companies find customer buying habits or patterns based on 2018 sales transaction data. The results of this study produce 316 association rules where the best rules are generated on record 309 with PRO 889 & PRO 868 PRO 869 rules.

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Published

2022-12-24

How to Cite

Amsury, F., Ruhyana, N., Riyadi, A. A., & Rahman, I. A. (2022). Implementation of the Association Method in the Analysis of Sales Data From Manufacturing Companies. Jurnal Riset Informatika, 5(1), 149–154. https://doi.org/10.34288/jri.v5i1.201

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