Implementation of Apriori Algorithm for Determining Product Purchase Patterns

Sisfotenika

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Field Value
 
Title Implementation of Apriori Algorithm for Determining Product Purchase Patterns
 
Creator Sari, Nindy Devita
W A, Bambang Soedijono; Universitas AMIKOM Yogyakarta
Nasiri, Asro; Universitas AMIKOM Yogyakarta
 
Subject Apriori, Association Rule, Data Mining, Item,
 
Description In this study, the implementation of Data Mining association method using Apriori algorithm to determine product purchase pattern. Data obtained from the sales transaction data in the Toko Jaya Putra Bumi Agung in the form of a purchase note that will then be implemented using Apriori algorithm. The data mining technique used is the association rule method to know the pattern between items one and other items using support and confidence. In this study of the calculation process with Apriori algorithm obtained minimum value of support 50% and minimum confidence value 70% then resulting tendency of products purchased by consumers ie if buying cooking oil then buy eggs with confidence 75%. If buying Sumendo coffee then buy sugar with confidence 77.8%. This research is expected to be helpful and useful for the owner of Toko Jaya Putra Bumi Agung to predict and analyze the combinations of what kinds of products are often purchased by consumers simultaneously. For further research need to be developed again by combining other data mining algorithms. Preferably the use of datasets that are used will be better to use larger datasets so that they can obtain higher accuracy values.
 
Publisher STMIK PONTIANAK
 
Contributor
 
Date 2020-08-19
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://sisfotenika.stmikpontianak.ac.id/index.php/ST/article/view/1033
10.30700/jst.v11i1.1033
 
Source SISFOTENIKA; Vol 11, No 1 (2021): SISFOTENIKA; 1-13
SISFOTENIKA; Vol 11, No 1 (2021): SISFOTENIKA; 1-13
2460-5344
2087-7897
10.30700/jst.v11i1
 
Language ind
 
Relation http://sisfotenika.stmikpontianak.ac.id/index.php/ST/article/view/1033/738
 
Rights Copyright (c) 2020 SISFOTENIKA
http://creativecommons.org/licenses/by-nc/4.0
 

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