Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm

Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm

Data Mining

Rule Association

FP Growth

RapidMiner

Stationery Sales

Every company or organization must have the right strategy to continue business or organizational activities. If not used, product sales data at the company will only become a pile of data; of course, it is regrettable if it is not used properly. The company can use the most product sales data to determine the next marketing strategy. To find out this data (the most sales), Association Rules Analysis is needed on the FP-Growth Algorithm method. This research aims to determine the association rule of Java ATK sales using the FP-Growth algorithm. This algorithm can be used for extensive data sets and to process Big Data. The results of this study are the FP Growth algorithm using association rules, which can be implemented in bookstore sales data with support count and minimum confidence parameters. A decimal value of 0.8 can form a product purchase correlation to increase stationery sales in Java Ateka. The rule obtained from the results of the FP-Growth calculation is that there are three transactions where if you buy item A, you will buy item B.

Wardani, Syafa Wajahtu

Lestari, Silvia Windri

Daffa, Nauffal Ammar

Tahyudin, Imam

Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]; 133-146

2774-4353

Association for Scientific Computing, Electronics, and Engineering (ASCEE)

2023-01-10

Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal

https://ascee.org/

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eng

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