[Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias

Alias, Muhammad Asnawi (2018) [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This research will introduce the overview about the depression among college student. The Problem statement, purpose and objective of the study are also discussed in order to get better understanding about the depression that occur in college student. This research also being done to know the effect depression toward the student environment and their student life. It is also being discussed the factor depression because of parent support, emotional distress and sleeping disorder. It will also include the research question that will assist and guide researcher to collect the accurate information about the depression on the student. The purpose of this project is to make a mobile application since people nowadays have their own smart phone and bring it anywhere.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Alias, Muhammad Asnawi
2016331411
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Abd Kadir, Adzhar
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application program interfaces
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Computer Science (Hons.) Data Communication and Networking
Keywords: Depression test, college student, mobile application
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/109066
Edit Item
Edit Item

Download

[thumbnail of 109066.pdf] Text
109066.pdf

Download (242kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

109066

Indexing

Statistic

Statistic details