IMPLEMENTASI ALGORITMA APRIORI UNTUK MENEMUKAN ATURAN ASOSIASI DALAM TRANSAKSI PENJUALAN DI KAFE

  • Amelina Amelina Alumni Program Studi Informatika Fakultas Teknik
  • Martaleli Bettiza Dosen Fakultas Teknik UMRAH
  • Dwi Amalia Purnamasari Dosen Fakultas Teknik UMRAH
Keywords: Data Mining, Assosiasi Rule, Algoritma Apriori, Support, Confindence

Abstract

Nowadays technological development and information systems is growing rapidly. Almost in all fields of work using the system to support its operations. Kafeloaja is a cafe in general that provides a variety of food and drinks. Many of his menu choices in the Kafeloaja increasingly attract customers to repeat buy back in Kafeloaja, but it would be better if there is a system that can provide a recommendation menu to the customer, so that it can give benefits to the cafe or the customer. Research that will be conducted to analyze apriori algorithm by utilizing the existing transacation data to know the number and combination of menu items that are sold simultaneously as a consideration in making policy and business strategy. The result shows that Nasi Goreng Telur with its partner Es Teh Manis have the highest confidence value of 69% and support value 15%.

Published
2020-11-23
Section
Teknik Informatika