Product Purchase Analysis Using Apriori Algorithm Method at Gigra Wholesale Store

Analisis Pembelian Produk Menggunakan Metode Algoritma Apriori Pada Toko Grosir Gigra

Authors

  • Felix Sianturi Universitas Singaperbangsa Karawang
  • Betha Nurina Sari Universitas Singaperbangsa Karawang
  • Asep Jamaludin Universitas Singaperbangsa Karawang

DOI:

https://doi.org/10.35706/sys.v4i1.6182

Abstract

Gigra Grocery Store is a store that sells various basic food products. This Gigra store has experienced
problems in sales, this research raises the problem that exists in the Gigra store, which is related to
data that is increasing day by day. If left alone, the transaction data will only become garbage, only
serves as an archive and cannot be used for market strategy development. This study uses the Apriori
Algorithm and the help of WEKA tools to find a combination of itemset from sales transaction data at
the Gigra store. The stages of data mining used are Knowledge Discovery In Database (KDD) with
stages of data selection, preprocessing or cleaning, transformation, data mining and evaluation. The
final result of this research can be used as a reference for the store in marketing strategies to increase
products for eating and snack places. to reduce in-store losses

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Published

2022-03-21

How to Cite

[1]
F. Sianturi, Betha Nurina Sari, and Asep Jamaludin, “Product Purchase Analysis Using Apriori Algorithm Method at Gigra Wholesale Store: Analisis Pembelian Produk Menggunakan Metode Algoritma Apriori Pada Toko Grosir Gigra”, Systematics Journal, vol. 4, no. 1, pp. 362–371, Mar. 2022.

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