Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network

This research is conducted with the purpose of classifying the employment condition of ICT students after their graduation using Backpropagation Neural Network (BPNN). To narrow down the scope of the research, ICT students from Tunku Abdul Rahman College (TARC) are targeted. The employment condition...

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Bibliographic Details
Main Author:	Tay, Shu Shiang
Format:	Thesis
Language:	eng eng
Published:	2009
Subjects:	QA71-90 Instruments and machines
Online Access:	https://etd.uum.edu.my/2064/1/Tay_Shu_Shiang.pdf https://etd.uum.edu.my/2064/2/1.Tay_Shu_Shiang.pdf
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id	my-uum-etd.2064
record_format	uketd_dc
spelling	my-uum-etd.20642013-07-24T12:14:14Z Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network 2009 Tay, Shu Shiang Mohamad Mohsin, Mohamad Farhan College of Arts and Sciences (CAS) College of Arts and Sciences QA71-90 Instruments and machines This research is conducted with the purpose of classifying the employment condition of ICT students after their graduation using Backpropagation Neural Network (BPNN). To narrow down the scope of the research, ICT students from Tunku Abdul Rahman College (TARC) are targeted. The employment condition will be predicted and classified based on several macroscopic and microscopic criterion indentified. The macroscopic reasons include the social and the governmental factors while the microscopic reasons cover the college and the student factors. This paper will show the BPNN steps involved in creating a suitable multilayer-perceptron classification model for the employment condition. Detail descriptions of the BPNN methodologies applied are also included in the report. The findings of the research are expected to provide TARC's management an in-depth view on their students' marketability and adaptability in the work fields. 2009 Thesis https://etd.uum.edu.my/2064/ https://etd.uum.edu.my/2064/1/Tay_Shu_Shiang.pdf application/pdf eng validuser https://etd.uum.edu.my/2064/2/1.Tay_Shu_Shiang.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Mohamad Mohsin, Mohamad Farhan
topic	QA71-90 Instruments and machines
spellingShingle	QA71-90 Instruments and machines Tay, Shu Shiang Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
description	This research is conducted with the purpose of classifying the employment condition of ICT students after their graduation using Backpropagation Neural Network (BPNN). To narrow down the scope of the research, ICT students from Tunku Abdul Rahman College (TARC) are targeted. The employment condition will be predicted and classified based on several macroscopic and microscopic criterion indentified. The macroscopic reasons include the social and the governmental factors while the microscopic reasons cover the college and the student factors. This paper will show the BPNN steps involved in creating a suitable multilayer-perceptron classification model for the employment condition. Detail descriptions of the BPNN methodologies applied are also included in the report. The findings of the research are expected to provide TARC's management an in-depth view on their students' marketability and adaptability in the work fields.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Tay, Shu Shiang
author_facet	Tay, Shu Shiang
author_sort	Tay, Shu Shiang
title	Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
title_short	Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
title_full	Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
title_fullStr	Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
title_full_unstemmed	Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network
title_sort	predicting employment condition of tarc's ict graduates using backpropagation neural network
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2009
url	https://etd.uum.edu.my/2064/1/Tay_Shu_Shiang.pdf https://etd.uum.edu.my/2064/2/1.Tay_Shu_Shiang.pdf
_version_	1747827255995793408

Predicting Employment Condition of TARC'S ICT Graduates Using Backpropagation Neural Network

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