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SMART PRICING BASED ON DATA INTELLIGENCE IN MOON CAFE Putra, Nicholas Sudianto; Saragih, Saut Pintubipar
Computer Based Information System Journal Vol. 14 No. 1 (2026): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v14i1.11114

Abstract

The availability of transaction data in culinary SMEs offers opportunities for data-driven decision-making, yet it is often underutilized. This study proposes a Smart Pricing and menu bundling recommendation system for Moon Cafe Batam using data intelligence. The research applies the CRISP-DM framework to analyze historical transaction data from a POS system. The FP-Growth algorithm is used to identify frequent itemsets and association rules that represent customer purchasing patterns. These patterns are combined with Cost of Goods Sold (COGS/HPP) calculations to generate menu bundling and pricing recommendations that consider profitability. The system is implemented as a web-based application using React.js, PHP, and MySQL, and evaluated through black-box testing. The results show that the system can support structured menu bundling analysis and pricing simulations, enabling managers to make more objective and data-driven decisions in culinary SMEs.