Design and Construction of a Village Tourism Monitoring and Evaluation System Web Based

Authors

  • Alfian Maulana UIN Sunan Kalijaga Yogyakarta
  • Deffa Danendra UIN Sunan Kalijaga Yogyakarta
  • M. Mustakim UIN Sunan Kalijaga Yogyakarta

DOI:

https://doi.org/10.59934/jaiea.v5i3.2289

Keywords:

Extreme programming; Monitoring and evaluation; System information; Tourism village

Abstract

Development of village tourism in the Special Region of Yogyakarta requires structured and sustainable management, particularly in monitoring and evaluation as a basis for stakeholder decision-making. Current challenges include unintegrated tourism village data, manual evaluation processes, and limited public access to tourism information and services. This study aims to design and develop a web-based monitoring and evaluation system that integrates registration, data management, monitoring, scoring, and information presentation in a centralized platform. The system is developed using the Extreme Programming method, which includes planning, design, coding, and testing stages, with functional testing conducted through Black Box Testing. The technologies used include React JS for the interface, Express JS for the backend, Supabase as the database, and Google Cloud Storage for data storage. The results indicate that all main system features function according to requirements, supporting more effective monitoring and evaluation processes, improving data accuracy, and enhancing accessibility of information for both the public and local government. Furthermore, this system has the potential to serve as a foundation for regional tourism data integration and to support sustainable tourism village development policies, while also contributing practically to improving integrated digital public information services at the national level.

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Published

2026-06-02

How to Cite

Alfian Maulana, Deffa Danendra, & M. Mustakim. (2026). Design and Construction of a Village Tourism Monitoring and Evaluation System Web Based . Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 3847–3854. https://doi.org/10.59934/jaiea.v5i3.2289

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Articles