EconPapers    
Economics at your fingertips  
 

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

Muhamad Ivan Fadilah (), Tien Fabrianti Kusumasari () and Sinung Suakanto ()
Additional contact information
Muhamad Ivan Fadilah: Telkom University
Tien Fabrianti Kusumasari: Telkom University
Sinung Suakanto: Telkom University

A chapter in Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023), 2023, pp 258-270 from Springer

Abstract: 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.

Keywords: Covid-19; MVC; API; Laravel; Waterfall (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-340-5_23

Ordering information: This item can be ordered from
http://www.springer.com/9789464633405

DOI: 10.2991/978-94-6463-340-5_23

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-10
Handle: RePEc:spr:advbcp:978-94-6463-340-5_23