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Prediction Of Job Selection Among Faculty Of Computing Students

There are many jobs in the computer science and information technology field. As technology keeps improving, there are many new careers generated and obviously, job selection in this field will be more and more. This project is aims to help the students from Faculty of Computing in University Malays...

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Main Author: Ong, Hui Gie
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40203/1/CA19099.pdf
http://umpir.ump.edu.my/id/eprint/40203/
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spelling my.ump.umpir.402032024-02-07T04:25:47Z http://umpir.ump.edu.my/id/eprint/40203/ Prediction Of Job Selection Among Faculty Of Computing Students Ong, Hui Gie QA75 Electronic computers. Computer science There are many jobs in the computer science and information technology field. As technology keeps improving, there are many new careers generated and obviously, job selection in this field will be more and more. This project is aims to help the students from Faculty of Computing in University Malaysia Pahang (UMP) in order to obtain the information about the career can be applied after their graduation. This is vital as every job has different knowledge that needs to be mastered. If the students can obtain the skills and knowledge in the university, it will help the students to get the jobs easier in their future day after graduation. In the university perception, by analysing the job career selected by the graduates, they can make the decision on whether to open or close a class to follow the market demand, or to update the current syllabus. By doing so, the university will have the higher ranking with high employment rate. All attributes have been identified. The techniques include in the project is machine learning that used to analyses the data of the graduated. The techniques selected were from the previous study, which is SVM, MLP, and CART. The best technique is SVM with the highest accuracy among these three techniques. Prediction on the career for future Faculty of Computing students is also a part of the scope for this project. This project enables students to have a clear idea for the future job they can apply for, so they can find more information and more focus. The output is shown in a dashboard, using Google Data Studio. 2023-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40203/1/CA19099.pdf Ong, Hui Gie (2023) Prediction Of Job Selection Among Faculty Of Computing Students. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ong, Hui Gie
Prediction Of Job Selection Among Faculty Of Computing Students
description There are many jobs in the computer science and information technology field. As technology keeps improving, there are many new careers generated and obviously, job selection in this field will be more and more. This project is aims to help the students from Faculty of Computing in University Malaysia Pahang (UMP) in order to obtain the information about the career can be applied after their graduation. This is vital as every job has different knowledge that needs to be mastered. If the students can obtain the skills and knowledge in the university, it will help the students to get the jobs easier in their future day after graduation. In the university perception, by analysing the job career selected by the graduates, they can make the decision on whether to open or close a class to follow the market demand, or to update the current syllabus. By doing so, the university will have the higher ranking with high employment rate. All attributes have been identified. The techniques include in the project is machine learning that used to analyses the data of the graduated. The techniques selected were from the previous study, which is SVM, MLP, and CART. The best technique is SVM with the highest accuracy among these three techniques. Prediction on the career for future Faculty of Computing students is also a part of the scope for this project. This project enables students to have a clear idea for the future job they can apply for, so they can find more information and more focus. The output is shown in a dashboard, using Google Data Studio.
format Undergraduates Project Papers
author Ong, Hui Gie
author_facet Ong, Hui Gie
author_sort Ong, Hui Gie
title Prediction Of Job Selection Among Faculty Of Computing Students
title_short Prediction Of Job Selection Among Faculty Of Computing Students
title_full Prediction Of Job Selection Among Faculty Of Computing Students
title_fullStr Prediction Of Job Selection Among Faculty Of Computing Students
title_full_unstemmed Prediction Of Job Selection Among Faculty Of Computing Students
title_sort prediction of job selection among faculty of computing students
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40203/1/CA19099.pdf
http://umpir.ump.edu.my/id/eprint/40203/
_version_ 1822924126037213184
score 13.239859

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