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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2009
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| 在線閱讀: | 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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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 |