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

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...

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Main Author: Alias, Muhammad Asnawi
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/109066/1/109066.pdf
https://ir.uitm.edu.my/id/eprint/109066/
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spelling my.uitm.ir.1090662025-01-14T04:22:39Z https://ir.uitm.edu.my/id/eprint/109066/ [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias Alias, Muhammad Asnawi Mobile computing Application program interfaces 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. 2018 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109066/1/109066.pdf [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias. (2018) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/109066.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mobile computing
Application program interfaces
spellingShingle Mobile computing
Application program interfaces
Alias, Muhammad Asnawi
[Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
description 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.
format Thesis
author Alias, Muhammad Asnawi
author_facet Alias, Muhammad Asnawi
author_sort Alias, Muhammad Asnawi
title [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
title_short [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
title_full [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
title_fullStr [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
title_full_unstemmed [Depression test] detect depression among college student using mobile application / Muhammad Asnawi Alias
title_sort [depression test] detect depression among college student using mobile application / muhammad asnawi alias
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/109066/1/109066.pdf
https://ir.uitm.edu.my/id/eprint/109066/
_version_ 1823097864983674880
score 13.235362