User-Centered Development of a Non-Halal Food Service Locator App

Li Cen; Albet  Novendo; Mieko  Huang Vincent; Tony  Wibowo

doi:10.22146/jnteti.v15i2.25444

Li Cen Department of Information Systems, Faculty of Computer Science, Universitas Internasional Batam, Batam 29426, Indonesia
Albet Novendo Department of Information Systems, Faculty of Computer Science, Universitas Internasional Batam, Batam 29426, Indonesia
Mieko Huang Vincent Department of Information Systems, Faculty of Computer Science, Universitas Internasional Batam, Batam 29426, Indonesia
Tony Wibowo Department of Information Systems, Faculty of Computer Science, Universitas Internasional Batam, Batam 29426, Indonesia

DOI: https://doi.org/10.22146/jnteti.v15i2.25444

Keywords: GIS Application, Non-Halal Food, React Native, User-Centered Design, Agile Scrum, Design Thinking, Restaurant Finder

Abstract

The rapid growth of culinary tourism has increased demand for location-based applications that support specific dietary preferences. In Indonesia, particularly in Batam City, non-Muslim users often have trouble identifying non-halal food services due to the generalized nature of existing similar platforms, which rarely provide explicit non-halal categorization. This research aimed to develop a mobile-based non-halal food service locator application with accurate, location-aware restaurant recommendations tailored to non-halal culinary needs. The system was developed using a geographic information system (GIS) approach integrating design thinking and agile scrum methodologies. User requirements were identified through an empathy-oriented requirements-gathering process using structured questionnaires with 30 non-Muslim respondents. Agile scrum supported iterative development and feature prioritization. The application architecture consisted of a react native mobile client and a Laravel backend, supported by PostgreSQL with PostGIS for spatial data processing and Nominatim for geocoding. A GIS-based multi-factor recommendation algorithm was applied to rank nearby non-halal food services based on distance and contextual parameters. The system was evaluated through functional black-box testing covering 11 core use cases, all of which produced successful results. Usability evaluation using the system usability scale (SUS) involved 34 respondents and yielded an average score of 85.29, indicating acceptable system usability. Prototype validation using Figma Mirror further confirmed alignment between user expectations and interface design. In conclusion, this study demonstrates that integrating GIS technology with user-centered and agile development approaches can support non-halal food discovery in Batam City and provide a foundation for future system enhancements.

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