Kohesi: Jurnal Sains dan Teknologi

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Vol. 10 No. 7 (2025): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

PENGEMBANGAN APLIKASI MOBILE MOODCAFE DENGAN REKOMENDASI MENU BERBASIS MOOD DAN GAMIFIKASI LOYALTY PROGRAM

Submitted
December 1, 2025
Published
2025-12-01

Abstract

The food and beverage (F&B) industry faces challenges in providing a personalized ordering experience and effectively building customer loyalty. This study aims to develop the MoodCafe mobile application, which implements a menu recommendation system based on user mood with Firebase integration and a gamified loyalty program. The application was developed using the Flutter framework with MVVM architecture and Provider as state management. The recommendation system allows users to choose from five mood categories (Happy, Sad, Tired, Romantic, Chill), which are then curated with appropriate menus. Firebase Authentication is used for user management, and Cloud Firestore is used for real-time data storage. The gamified loyalty program feature awards reward points for purchases of at least Rp 50,000, which can be redeemed for vouchers. Black-box testing results show that all application functions operate according to specifications, with a user satisfaction rate of 87% based on a survey of 30 respondents. This application contributes to the personalization of digital services in the F&B industry through an emotion-based recommendation system approach.

Keywords: firebase, flutter, mobile application, mood-based recommendation, loyalty program

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