Market basket analysis to identify customer behaviors by way of transaction data

Kurniawan, Fachrul ORCID: https://orcid.org/0000-0002-3709-8764, Umayah, Binti, Hammad, Jihad, Nugroho, Supeno Mardi Susiki and Hariadi, Mochammad (2018) Market basket analysis to identify customer behaviors by way of transaction data. Knowledge Engineering and Data Science, 1 (1). pp. 20-25. ISSN 2597-4602

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Abstract

Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of following the existing steps on data mining technique. The trial result showed that the development and the implementation of market basket analysis application through association rule method using apriori algorithm could work well. With the means of confidence value of 46.69% and support value of 1.78%, and the amount of the generated rule was 30 rules

Item Type:	Journal Article
Keywords:	data mining; market basket analysis; association rule; apriori
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080306 Open Software 08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080309 Software Engineering 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Fachrul Kurniawan
Date Deposited:	08 Sep 2020 09:55

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