Development of I-Complain@META: a complaint management system for FKMT students using naive bayes classification algorithm

Cheah, Jia Ni

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Type :	final_year_project
Subject :	LB Theory and practice of education
Main Author :	Cheah, Jia Ni
Title :	Development of I-Complain@META: a complaint management system for FKMT students using naive bayes classification algorithm

Place of Production :	Tanjong Malim
Publisher :	Fakulti Komputeran dan META-Teknologi
Year of Publication :	2024
Corporate Name :	Perpustakaan Tuanku Bainun
PDF Guest :	Click to view PDF file

Abstract : Perpustakaan Tuanku Bainun

Complaint is important in the university as it represent the dissatisfaction of student to the facilities and services. Yet, the current complaint management system where FKMT Student need to manually fill in the complaint form and FKMT Admin need to manually send the complaint to respective department is inefficient, therefore, this project is to develop IComplain@ META which is one of the hybrid web system is developed for FKMT Student, FKMT Member and FKMT Admin in order to ease their burden on complaint management. This system is going to use within FKMT, UPSI. This system had include the Artificial Intelligence technology, which is Naïve Bayes Classification Algorithm to classify the complaints of FKMT student and send to the respective departments automatically. Other than that, Email Notification sent to FKMT Student can help them in tracking the progress of complaint made. This system is hybrid web system that developed using Bootstrap PWA, Laravel and MySQL as database. The methodology used to develop this project is Evolutionary Prototyping Model that consists of 6 phases. Based on the evaluation, this system bring a lot of advantageous to potential users in order to make and manage the complaints.

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