Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning

Jamaludin, Nur Diana (2021) Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning. [Final Year Project] (Submitted)

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Abstract

The purpose of the final year project is to do detailed research on digital addictions on how it affects undergraduate students during the pandemic, and to come out with a analytical analysis using technical skills. The research on the project had shown that digital addiction is not only focus on playing online video games, but it can also be in any types of online activities. The study also shown that digital addiction has grown throughout the pandemic and had affect the student’s personal health. In most recent cases, it had shown that university students went through multiple types of mental health issues due to limitations of movement and had spent hours on online activities. By having this project, may help the respected bodies and university association to take further action in order to take care the students physical and mental health. Other than that, it might also help the government bodies to take early actions to handle student’s welfare.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ms Nurul Aidayana Mohammad Noordin
Date Deposited: 14 Feb 2023 06:29
Last Modified: 15 Mar 2023 03:47
URI: http://utpedia.utp.edu.my/id/eprint/24137

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