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Implementation of MVC Architecture on RESTful API for Monitoring Covid-19 Patient Condition Parameters using Laravel Framework with Waterfall Method

In: Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)

Author

Listed:
  • Muhamad Ivan Fadilah

    (Telkom University)

  • Tien Fabrianti Kusumasari

    (Telkom University)

  • Sinung Suakanto

    (Telkom University)

Abstract

The Covid-19 pandemic has created an urgent need to monitor patients' conditions efficiently and accurately. In an effort to overcome this challenge, this study aims to implement the Model-View-Controller (MVC) architecture on the Representational State Transfer (RESTful) API to monitor the condition parameters of Covid-19 patients. The Laravel framework is used as a development foundation, with the Waterfall method approach as a guide for project management. The application of MVC architecture to RESTful APIs enables a clear separation of duties between business logic, views, and data modeling. This facilitates parallel development and easier maintenance while ensuring system cohesion and flexibility. Through the use of the Laravel framework, various features such as routing, controllers, and database management can be efficiently integrated. The Waterfall approach provides a detailed structure for the stages of analysis, design, implementation, testing, and maintenance. With the integration of the Laravel framework, the system is able to efficiently collect, manage, and report patient data. The entire study provides valuable guidance for similar implementations in the areas of health monitoring and software development.

Suggested Citation

  • Muhamad Ivan Fadilah & Tien Fabrianti Kusumasari & Sinung Suakanto, 2023. "Implementation of MVC Architecture on RESTful API for Monitoring Covid-19 Patient Condition Parameters using Laravel Framework with Waterfall Method," Advances in Economics, Business and Management Research, in: Mahmud Dwi Sulistiyo & Ryan Adhitya Nugraha (ed.), Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023), pages 258-270, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-340-5_23
    DOI: 10.2991/978-94-6463-340-5_23
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