IJBTT

Web-based Campus Complaint Management System (WCCMS)
	© 2022 by IJCTT Journal
	Volume-70 Issue-10
	Year of Publication : 2022
	Authors : Fabiyi Aderanti Alifat, Olorunlomerue Adam Biodun, Oluwatosin Adefunke Oluwatobi, Ugwu Jennifer Ifeoma, Ramoni Tirimisiyu Amosa
	DOI :  10.14445/22312803/IJCTT-V70I10P105

How to Cite?

Fabiyi Aderanti Alifat, Olorunlomerue Adam Biodun, Oluwatosin Adefunke Oluwatobi, Ugwu Jennifer Ifeoma, Ramoni Tirimisiyu Amosa, "Web-based Campus Complaint Management System (WCCMS)," International Journal of Computer Trends and Technology, vol. 70, no. 10, pp. 28-36, 2022. Crossref, https://doi.org/10.14445/22312803/IJCTT-V70I10P105

Abstract
In any institution of learning, regardless of how effective the internal controls are, there will inevitably be staff and student complaints as they are major stakeholders in the education sector; hence, they deserve to be given fair treatment and adequate attention. Importantly, students` complaints are significant data that reflect students` opinions and are a key indicator of students` discontent. An important indicator of an institution`s performance is how well they handle these complaints. Students can voice issues using an automated complaint management system without worrying about repercussions. The Waterfall Methodology was used as the research methodology for this investigation. The data flow was modelled as part of the system design to include the system`s processes. The PHP programming language, JavaScript, HTML, Cascading Style Sheets (CSS), and MySQL are the tools utilized for development. The Integrated Development Environment (IDE) was provided by the Visual Studio Code application, while the Database Management System (DBMS) was provided by the MySQL server application (IDE). The culmination of this research is a user-friendly, highly effective, and efficient web-based student complaint management tool that meets the Research objectives. The effectiveness of the suggested system in terms of usability, dependability, and applicability was assessed based on the users` assessments. The system`s performance was excellent, and the development team and user group used alpha and beta testing to assess the system`s strength and acceptability. The evaluation`s results are above 96%, which shows that the system will improve students` free and easy access to express their dissatisfaction, pain, unease, censure, resentment, or grief experienced in our higher institution of learning.

Keywords
Automated, Complain, Methodology, Students, System.

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