Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 6 No. 1 (2026): October 2026

Design and Development of a Mobile-Based E-Commerce Application Using Flutter Framework for QOF Drink MSME with the Waterfall Method

Assaida Ibka Putri (Universitas Malikussaleh)
Hadistilla Rayzan Fasya (Universitas Malikussaleh)
Fauzi (Universitas Malikussaleh)
Muhammad Iqbal (Universitas Malikussaleh)
Mutia Fadhila Hanim (Universitas Malikussaleh)
Angga Pratama (Universitas Malikussaleh)



Article Info

Publish Date
15 Oct 2026

Abstract

The increasing adoption of digital technology has encouraged micro, small, and medium enterprises (MSMEs) to utilize mobile-based information systems to improve operational performance, broaden market opportunities, and enhance customer service quality. Despite these developments, QOF Drink continues to manage product promotion, order processing, transaction recording, and delivery coordination through conventional methods, leading to operational inefficiencies and limited service accessibility. Therefore, this study aims to design and develop a mobile-based e-commerce application for QOF Drink by utilizing the Flutter framework and the Waterfall software development methodology. The development process includes requirements analysis, system design, implementation, system testing, and maintenance planning. Flutter was employed to build a responsive mobile application, while Firebase was integrated as the backend platform to handle user authentication, real-time database services, and transaction synchronization. The developed application combines customer, administrator, and driver functionalities into a single platform, providing features such as product catalog management, shopping carts, checkout, order history, delivery assignment, and real-time order tracking. The implementation results indicate that the proposed application streamlines business operations, improves transaction management, enhances customer convenience, and supports the digital transformation of QOF Drink through an integrated mobile-based e-commerce platform.

Copyrights © 2026






Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...