Year: 2019
Type: article
Abstract: Small businesses in the food and beverage sector are now booming. Especially business people who put forward the concept of cafes and online. It is not easy to grow buying interest before consumers finally decide to buy a product. One form of promotion to be more focused and on target is one way to find out consumer buying tastes that can be observed through data on purchases at the Lubuklinggau Cafe Sidewalk Steak. The purpose of this study is that the cafe party can utilize sales information to take appropriate business actions as material in consideration to determine the next sales promotion strategy. By using apriori algorithm, Sidewalk Steak Cafe can find combinations of itemsets menus that are often ordered by consumers. The results obtained from the use of a priori algorithm are formed by 6 rules of association of process results based on predetermined parameters, namely minimum support of 30% and minimum confidence of 60% which is one rule. % of consumers who buy double beef crispy also buy white rice.
Authors: Susanto, Susanto, Santoso, Budi, Danisa, Putri
Institutions: Universitas Bina Insan, Universitas Bina Insani
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4287994025