PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA APRIORI DALAM MEMPREDIKSI PENJUALAN PRODUK

  • Ferly Ardhy
  • Ockhy Jey Fhiter Wassalam Universitas Aisyah Pringewu
  • Tahta Herdian Andika Universitas Aisyah Pringewu
  • Salman Alfarisi Salimu Universitas Aisyah Pringewu
DOI: https://doi.org/10.35959/jik.v10i2.385
Keywords: Sales, apriori algorithm

Abstract

This research is based on observations, currently in conducting sales transactions on average already using a computerized system and recording existing transaction data, but the data only functions as a store archive so that it cannot be used as data to predict the sales results of goods sold. which will be more attractive to consumers. The purpose of this study is to apply data mining to predict the sales results of goods that are more attractive to consumers and to look for relationships between itemsets.

 From the application of data mining, the data is processed using a priori algorithm to be able to predict the results of the sale of goods. By doing a frequent itemset search using the association rule technique. By determining the candidates that may appear and paying attention to the minimum support and minimum confidence In the application of data mining to predict the sale of goods (researchers managed to find 14 association rules with a minimum support rule of 30% and a minimum confidence of 65%.

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References

[1] Oktaviani, A., TM Napitupul, G., Sarkawi, D., & Yulianti, I. (2019). Penerapan Data Mining Terhadap Penjualan Pipa Pada Cv. Gaskindo Sentosa Menggunakan Metode Algoritma Apriori. Jurnal Riset Informatika, 1(4),167-172.

[2] Badrul, M. (2016). Algoritma Asosiasi dengan algoritma apriori untuk menganalisa data penjualan. Pilar Nusa Mandiri, XIII(2), 121–129.

[3] Wahyu DR (2021) Penerapan Market Basket Analysis Pada Pola Pembelian Produk Oleh Konsumen Menggunakan Metode Algoritma Apriori

[4] R. Agrawal, et al (1993), Mining Association Rules between Sets of Items in Large Databases. Proceedings of the 1993 ACM SIGMOD Conference Washington DC, USA.

[5] P. N. Tan, et al (2004), Introduction to Data Mining, USA: Addison-Wesley,.

[6] Wahyudi Oktavia Gama, Adie (2016) Implementasi Algoritma Apriori untuk Menentukan Frequent Itemset Dalam Keranjang Belanja, Teknologi Elektro, 15 (2), 27-32
Published
2022-10-03
How to Cite
[1]
F. Ardhy, O. Wassalam, T. Andika, and S. Salimu, “PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA APRIORI DALAM MEMPREDIKSI PENJUALAN PRODUK”, Jurnal Informasi dan Komputer, vol. 10, no. 2, pp. 18-23, Oct. 2022.
Issue
Vol 10 No 2 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 10 (Oktober)
Section
Articles

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