Analysis of Transactions 212 Mart Kuto Palembang to Find Frequent Patterns Among Itemset Using Association Rule Mining

DOI

10.2991/aisr.k.200424.049How to use a DOI?

Keywords

data mining, association rules, transaction, eclat

Abstract

Minimarket 212 Mart Palembang Kuto is a retail market of 212 mart cooperative cooperatives, selling various kinds of goods for daily needs ranging from food, non-food, drinks and frozen food. All transactions carried out in transactions, which are stored in datacenter warmart 212, consist of spreadsheets that start operating from February 21th, 2019. Transaction data that is recorded and stored in warehouses are large and piling up, it is estimated that there are 58,068 transactions until February 21th, 2019. Therefore, Data mining is used to create transaction data that is needed by getting information in the data using the rule association method with depth-first search or eclat search algorithm. Results obtained from the owners of 212 Palembang Kuto with the hope of increasing sales through bundling of goods, the right promotion and refilling of goods accordingly.

Copyright

© 2020, 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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TY  - CONF
AU  - Zikri NURZANI
AU  - Ken Ditha TANIA
PY  - 2020
DA  - 2020/05/06
TI  - Analysis of Transactions 212 Mart Kuto Palembang to Find Frequent Patterns Among Itemset Using Association Rule Mining
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 325
EP  - 332
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.049
DO  - 10.2991/aisr.k.200424.049
ID  - NURZANI2020
ER  -