Analysis of Restaurant Ordering Patterns Using Apriori Algorithm

Abstract

This study implements the Apriori algorithm to analyze ordering
patterns in home-based restaurants, specifically Dapur Mb Yani. Sales
transaction data for three weeks shows that the Geprek Sambal Merah,
Geprek Sambal Ijo, and Ayam Crispy menus are the most frequently
ordered items, both individually and in combination. The combination
of Geprek Sambal Merah, Ayam Crispy, and Es Teh has a high
association value, making it a candidate for bundling promotions,
while the strong relationship between Geprek Sambal Merah and
Geprek Sambal Ijo opens up opportunities for special offers involving
both menus. These results help restaurant managers design more
effective promotional strategies, manage ingredient stocks efficiently,
and improve customer experience. The application of the Apriori
algorithm proves its relevance in supporting data-based decisions,
especially for small businesses, as well as opening up opportunities
for further development in the culinary industry.