Analysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm

Authors

  • Rizky Wandri Program Studi Teknik Informatika, Fakultas Teknik, Universitas Islam Riau
  • Anggi Hanafiah Program Studi Teknik Informatika, Fakultas Teknik, Universitas Islam Riau

DOI:

https://doi.org/10.25299/itjrd.2022.8155

Keywords:

Fp-Growth, Sales Pattern, Technology Information Items

Abstract

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.

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Published

2022-01-12

How to Cite

Wandri, R., & Hanafiah, A. (2022). Analysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm. IT Journal Research and Development, 6(2), 130–141. https://doi.org/10.25299/itjrd.2022.8155

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