Journal of Big Data Analytic and Artificial Intelligence
Vol 7 No 2 (2024): JBIDAI Desember 2024

Implementasi Metode Market Basket Analysis Untuk Menentukan Menu Paket Penjualan Di Bius Café

Susilayani, Asrini (Unknown)
Putri, Eviana Tjatur (Unknown)
Hartono, Lies (Unknown)
Ardi, Mohamad (Unknown)



Article Info

Publish Date
31 Dec 2024

Abstract

A café in Tarakan City, Bius Café, is looking for sales strategies due to increasing business competition. One promotional step that a restaurant industry can take is creating package menus that are more affordable than buying items individually, making consumers happier with such menus. Bius Café, a café with a considerable number of patrons, intends to create package menus. These packages will be a combination of food and drink items from the café, taking into account how often these combinations are chosen by customers. The Apriori Algorithm is a data mining algorithm for extracting association rules. It is a type of association rule in data mining, often referred to as affinity analysis or market basket analysis. Based on the analysis results, using the Apriori algorithm to determine sales patterns shows that to form rules, the process starts with the formation of combinations from transaction analysis of 1-itemset, 2-itemset, and 3-itemset combinations that meet the support and confidence values in forming these combinations. Several transactions are selected according to the minimum support and confidence requirements, forming rules that are then ranked with the highest confidence value of 72%, which includes "Mie Goreng" and "Bius Café". Thus, the business owner can create promotional package menus by combining these two items.

Copyrights © 2024






Journal Info

Abbrev

JBIDAI

Publisher

Subject

Computer Science & IT

Description

JBIDAI adalah jurnal nasional berbahasa Indonesia versi online yang dikelola oleh Prodi Sistem Informasi STMIK PPKIA Tarakanita Rahmawati. Jurnal ini memuat hasil-hasil penelitian dengan cakupan fokus penelitian meliputi : Artificial Intelligence, Big Data, Data Mining, Information Retrieval, ...