Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020)

Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm

Authors
Devi Fitrianah, Shifa Yasinta Zain
Corresponding Author
Devi Fitrianah
Available Online 22 April 2021.
DOI
10.2991/assehr.k.210421.022How to use a DOI?
Keywords
Data Mining, FP-Growth Algorithm, Association Rule
Abstract

This study aims to discover association patterns from customers’ purchase, these patterns later on known as reference for the store to supply goods. Mapongs store is one of the online shops that is developing quite rapidly, however, Mapongs Store is still difficult to determine the supply of stock of goods to be sold, so this has an impact on decreasing sales figures. To solve this problem, the method used in this study is the Association rule using the FP Growth algorithm. Analysis of sales data obtained with the Association rules Method using the FP Growth algorithm, namely the greater the minimum support and minimum confidence used, the fewer itemset and rules will be formed. In this study, if the minimum support is 50% and the minimum confidence is 80%, it will produce 211 rules. So, the rules in this study can be used as information for sellers to find out what products buyers often buy at this Mapongs Store. All Rules produced in this study have a Lift ratio value of more than 1.00 so they can be used as a reference in determining the relationship between product sales to optimize the results of sales analysis for sellers

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
22 April 2021
ISBN
978-94-6239-368-4
ISSN
2352-5398
DOI
10.2991/assehr.k.210421.022How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Devi Fitrianah
AU  - Shifa Yasinta Zain
PY  - 2021
DA  - 2021/04/22
TI  - Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm
BT  - Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020)
PB  - Atlantis Press
SP  - 149
EP  - 158
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210421.022
DO  - 10.2991/assehr.k.210421.022
ID  - Fitrianah2021
ER  -