Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin

In the past, employability studies have mainly focused on human capital attributes and demographic factors (Wille, De Fruyt, & Feys, 2013). However, employability is not only determined by the knowledge, skills, and abilities an individual possesses, but also requires other latent, higher-order...

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Main Author:	Mohd Adnin, Mohd Alief Mukhlis
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Algebra Analysis Instruments and machines Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/55138/1/55138.pdf
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id	my-uitm-ir.55138
record_format	uketd_dc
spelling	my-uitm-ir.551382022-01-23T08:17:40Z Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin 2020 Mohd Adnin, Mohd Alief Mukhlis Algebra Electronic data processing. Maple (Computer file) Analysis Instruments and machines Electronic Computers. Computer Science Evolutionary programming (Computer science). Genetic algorithms Algorithms In the past, employability studies have mainly focused on human capital attributes and demographic factors (Wille, De Fruyt, & Feys, 2013). However, employability is not only determined by the knowledge, skills, and abilities an individual possesses, but also requires other latent, higher-order personality trait that facilitates an individual's ability to adapt to changing work environment and career patterns (Fugate et al., 2004). Student who pursuing their studies in specific field must know their capabilities to that area. Without consideration of self-capabilities, this will affect them in future working environment. Moreover, there are some case of employees that quit their jobs due to depression and pressure at work. This happens due to taking less care of personality traits of employees in working environments. So, it is better to taking care such personality as an important aspect in employability in the future. The purpose of this project was to identify the personality type of person that can be used for employability prediction, to design a prototype model of prediction using Naive Bayes algorithm and to test the functionality the proposed prototype. The finding of this project is this project are able to predict the user employability by taking care of their personality traits through personality test. For future work, recommendation of this project is to do more comprehensive integrating employability research across different domains and levels such as proactive personality, willing and ability and to measure the predictive power of these traits including the Big Five in relation to employability. 2020 Thesis https://ir.uitm.edu.my/id/eprint/55138/ https://ir.uitm.edu.my/id/eprint/55138/1/55138.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Algebra Algebra Analysis Instruments and machines Algebra Algebra Algorithms
spellingShingle	Algebra Algebra Analysis Instruments and machines Algebra Algebra Algorithms Mohd Adnin, Mohd Alief Mukhlis Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
description	In the past, employability studies have mainly focused on human capital attributes and demographic factors (Wille, De Fruyt, & Feys, 2013). However, employability is not only determined by the knowledge, skills, and abilities an individual possesses, but also requires other latent, higher-order personality trait that facilitates an individual's ability to adapt to changing work environment and career patterns (Fugate et al., 2004). Student who pursuing their studies in specific field must know their capabilities to that area. Without consideration of self-capabilities, this will affect them in future working environment. Moreover, there are some case of employees that quit their jobs due to depression and pressure at work. This happens due to taking less care of personality traits of employees in working environments. So, it is better to taking care such personality as an important aspect in employability in the future. The purpose of this project was to identify the personality type of person that can be used for employability prediction, to design a prototype model of prediction using Naive Bayes algorithm and to test the functionality the proposed prototype. The finding of this project is this project are able to predict the user employability by taking care of their personality traits through personality test. For future work, recommendation of this project is to do more comprehensive integrating employability research across different domains and levels such as proactive personality, willing and ability and to measure the predictive power of these traits including the Big Five in relation to employability.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Adnin, Mohd Alief Mukhlis
author_facet	Mohd Adnin, Mohd Alief Mukhlis
author_sort	Mohd Adnin, Mohd Alief Mukhlis
title	Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
title_short	Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
title_full	Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
title_fullStr	Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
title_full_unstemmed	Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
title_sort	employability prediction based on personality test using naive bayes algorithm / mohd alief mukhlis mohd adnin
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/55138/1/55138.pdf
_version_	1783734904576540672

Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin

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