Application of Data Mining on Patterns of Sales of Goods in Minimarkets Using the Apriori Algorithm

Penulis

  • Siti Hadija STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Eka Irawan STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Irfan Sudahri Damanik STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Jaya Tata Hardinata Universitas HKBP Nommensen Pematangsiantar, Indonesia

DOI:

https://doi.org/10.55123/jomlai.v1i4.1668

Kata Kunci:

Apriori, Goods, Data Mining, Minimarket, Sales Pattern

Abstrak

Minimarket is a shop that sells goods for daily needs. Each minimarket generates a lot of sales data every day. Sales transaction data can only be stored without further analysis. Based on this description, research was conducted to assist minimarket managers in making it easy to solve sales pattern problems at minimarkets using the Apriori algorithm. The Apriori algorithm is an algorithm that searches for item set frequencies using the association rule technique. The final result of using data mining using the Apriori association method is proven to be able to find out the results of the analysis that appear simultaneously based on sales data at the Mawar Simp.Tangsi Balimbingan Minimarket with a minimum amount of support of 30% and 80% confidence resulting in 8 association rules that are formed.

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Unduhan

Diterbitkan

2022-12-30

Cara Mengutip

Hadija, S., Irawan, E., Damanik, I. S., & Hardinata, J. T. (2022). Application of Data Mining on Patterns of Sales of Goods in Minimarkets Using the Apriori Algorithm. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 1(4), 303–312. https://doi.org/10.55123/jomlai.v1i4.1668

Terbitan

Vol 1 No 4 (2022): December

Bagian

Articles

Lisensi

Hak Cipta (c) 2022 Siti Hadija, Eka Irawan, Irfan Sudahri Damanik

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