Implementasi Arsitektur MVVM pada Aplikasi Mobile Rekomendasi Restoran dengan Metode TOPSIS dan SAW
DOI:
https://doi.org/10.46880/jmika.Vol10No1.pp344-349Keywords:
Restaurant Recommendation System, Flutter, MVVM, SAW, TOPSISAbstract
Selecting a restaurant that matches user preferences often involves multiple criteria, such as price, distance, and rating. This goal of this study is to develop a mobile restaurant recommendation application using Flutter by implementing the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The application is developed using the Model-View-ViewModel architecture, Provider for state management, the Repository Pattern for data management, and a Flask-based REST API. Users can specify their preferences based on selected criteria, and the system generates ranked restaurant recommendations accordingly. The implementation results show that the application is capable of providing recommendations that match user preferences while maintaining a clear separation of concerns through the MVVM architecture. Furthermore, both TOPSIS dan SAW methods can be effectively applied to generate restaurant recommendation alternatives based on user-defined criterion weights.
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