Job matching system for IT students using fuzzy logic / Dalilah Masngon

Job matching is a process of assigning a person to find a suitable job based on several criteria of the applicants. Nowadays, most applicants or students do not know how to get a suitable job based on their field and skills. Furthermore, many students choose their job path without receiving proper a...

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Main Author: Masngon, Dalilah
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/31811/1/TD_DALILAH%20MASNGON%20CS%20R%2020_5.pdf
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spelling my-uitm-ir.318112020-07-06T07:48:25Z Job matching system for IT students using fuzzy logic / Dalilah Masngon 2020-06-30 Masngon, Dalilah Electronic Computers. Computer Science Fuzzy logic Job matching is a process of assigning a person to find a suitable job based on several criteria of the applicants. Nowadays, most applicants or students do not know how to get a suitable job based on their field and skills. Furthermore, many students choose their job path without receiving proper advice from the professional or university services. This is potentially cause mismatch between academic achievements, personality, interest and abilities of the students towards the job. Therefore, the aim of this study is to match the job system for IT students using fuzzy logic technique based on personality and skills. This study is conducted based on Agile Methodology that consists of five phases, which are Planning, Design, Development, Testing and Evaluate. The system has been tested using Usability Testing and Functionality Testing. The results from the testing shows that the system can produce a reliable suggestion of suitable job for the students based on the fuzzy logic approach. 2020-06 Thesis https://ir.uitm.edu.my/id/eprint/31811/ https://ir.uitm.edu.my/id/eprint/31811/1/TD_DALILAH%20MASNGON%20CS%20R%2020_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
Fuzzy logic
spellingShingle Electronic Computers
Computer Science
Fuzzy logic
Masngon, Dalilah
Job matching system for IT students using fuzzy logic / Dalilah Masngon
description Job matching is a process of assigning a person to find a suitable job based on several criteria of the applicants. Nowadays, most applicants or students do not know how to get a suitable job based on their field and skills. Furthermore, many students choose their job path without receiving proper advice from the professional or university services. This is potentially cause mismatch between academic achievements, personality, interest and abilities of the students towards the job. Therefore, the aim of this study is to match the job system for IT students using fuzzy logic technique based on personality and skills. This study is conducted based on Agile Methodology that consists of five phases, which are Planning, Design, Development, Testing and Evaluate. The system has been tested using Usability Testing and Functionality Testing. The results from the testing shows that the system can produce a reliable suggestion of suitable job for the students based on the fuzzy logic approach.
format Thesis
qualification_level Bachelor degree
author Masngon, Dalilah
author_facet Masngon, Dalilah
author_sort Masngon, Dalilah
title Job matching system for IT students using fuzzy logic / Dalilah Masngon
title_short Job matching system for IT students using fuzzy logic / Dalilah Masngon
title_full Job matching system for IT students using fuzzy logic / Dalilah Masngon
title_fullStr Job matching system for IT students using fuzzy logic / Dalilah Masngon
title_full_unstemmed Job matching system for IT students using fuzzy logic / Dalilah Masngon
title_sort job matching system for it students using fuzzy logic / dalilah masngon
granting_institution Universiti Teknologi Mara Perlis
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/31811/1/TD_DALILAH%20MASNGON%20CS%20R%2020_5.pdf
_version_ 1783734141423976448