Open AccessAnalysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm
Author(s) -
Rizky Wandri,
Anggi Hanafiah
Publication year - 2022
Publication title -
it journal research and development
Language(s) - English
Resource type - Journals
eISSN - 2528-4061
pISSN - 2528-4053
DOI - 10.25299/itjrd.2022.8155
Subject(s) - database transaction , transaction data , test (biology) , value (mathematics) , computer science , marketing , sales management , business , advertising , database , machine learning , paleontology , biology
Determination of sales patterns is very important in marketing. Sales pattern serves to conduct an effective analysis in improving marketing. Sales analysis aims to explore new knowledge that can help design effective strategies by utilizing sales transaction data. This study processes sales data for 12 transaction days containing 47 items using the Fp-Growth algorithm. The results of this study are items with a minimum value of support > 0.10 and confidence 0.60 and will be compared with testing data using RapidMiner to test whether the results are valid so that the test results can help in designing sales strategies.