Systematic literature review of prediction techniques to identify work skillset

A mismatch of skillsets is a main cause to the unemployment in Malaysia. It is a situation where the level and work skillset that are available do not match the market demands and the individual does not know how to identify the skills that they have. To deal with this problem, prediction techniq...

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Main Authors:	Zawawi, Nurul Saadah, Mat Surin, Ely Salwana, Zulkifli, Zahidah, Mat Nayan, Norshita
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Nature 2019
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/1/78333_Systematic%20Literature%20Review%20of%20Prediction_complete.pdf http://irep.iium.edu.my/78333/2/78333_Systematic%20Literature%20Review%20of%20Prediction_scopus.pdf

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recordtype	eprints
spelling	iium-783332020-02-11T09:39:13Z http://irep.iium.edu.my/78333/ Systematic literature review of prediction techniques to identify work skillset Zawawi, Nurul Saadah Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita T Technology (General) A mismatch of skillsets is a main cause to the unemployment in Malaysia. It is a situation where the level and work skillset that are available do not match the market demands and the individual does not know how to identify the skills that they have. To deal with this problem, prediction techniques is used to assist in identifying work-appropriate skills for individual. Thus, a systematic literature review (SLR) on predicting work skillsets using prediction techniques is proposed. The aim of this study is to give an overview on the prediction techniques that have been used to predict work skillset and the accuracy of the techniques. We use SLR to identify 383 prediction techniques studies for identifying skills published from 2014 to 2019. As a result, 9 studies report adequate information and methodology according to our criteria and apply. From the studies, classification techniques are used for predicting work skillset. The algorithms used is Random Forest with precision is 99%. From this study, a future study will be conducted by developing a prediction model to help identifying appropriate work skillsets to meet current needs and identifying the levels of skills they have. The significant of this study is the researchers are able to understand deeply about the prediction techniques used to identify work skillset and the accuracy of the techniques used. Springer Nature 2019-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78333/1/78333_Systematic%20Literature%20Review%20of%20Prediction_complete.pdf application/pdf en http://irep.iium.edu.my/78333/2/78333_Systematic%20Literature%20Review%20of%20Prediction_scopus.pdf Zawawi, Nurul Saadah and Mat Surin, Ely Salwana and Zulkifli, Zahidah and Mat Nayan, Norshita (2019) Systematic literature review of prediction techniques to identify work skillset. In: "6th International Conference on Advances in Visual Informatics, IVIC 2019", 19 - 21 November 2019, Bangi selangor. https://link.springer.com/chapter/10.1007%2F978-3-030-34032-2_37 10.1007/978-3-030-34032-2_37
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Zawawi, Nurul Saadah Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita Systematic literature review of prediction techniques to identify work skillset
description	A mismatch of skillsets is a main cause to the unemployment in Malaysia. It is a situation where the level and work skillset that are available do not match the market demands and the individual does not know how to identify the skills that they have. To deal with this problem, prediction techniques is used to assist in identifying work-appropriate skills for individual. Thus, a systematic literature review (SLR) on predicting work skillsets using prediction techniques is proposed. The aim of this study is to give an overview on the prediction techniques that have been used to predict work skillset and the accuracy of the techniques. We use SLR to identify 383 prediction techniques studies for identifying skills published from 2014 to 2019. As a result, 9 studies report adequate information and methodology according to our criteria and apply. From the studies, classification techniques are used for predicting work skillset. The algorithms used is Random Forest with precision is 99%. From this study, a future study will be conducted by developing a prediction model to help identifying appropriate work skillsets to meet current needs and identifying the levels of skills they have. The significant of this study is the researchers are able to understand deeply about the prediction techniques used to identify work skillset and the accuracy of the techniques used.
format	Conference or Workshop Item
author	Zawawi, Nurul Saadah Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita
author_facet	Zawawi, Nurul Saadah Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita
author_sort	Zawawi, Nurul Saadah
title	Systematic literature review of prediction techniques to identify work skillset
title_short	Systematic literature review of prediction techniques to identify work skillset
title_full	Systematic literature review of prediction techniques to identify work skillset
title_fullStr	Systematic literature review of prediction techniques to identify work skillset
title_full_unstemmed	Systematic literature review of prediction techniques to identify work skillset
title_sort	systematic literature review of prediction techniques to identify work skillset
publisher	Springer Nature
publishDate	2019
url	http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/ http://irep.iium.edu.my/78333/1/78333_Systematic%20Literature%20Review%20of%20Prediction_complete.pdf http://irep.iium.edu.my/78333/2/78333_Systematic%20Literature%20Review%20of%20Prediction_scopus.pdf
first_indexed	2023-09-18T21:50:23Z
last_indexed	2023-09-18T21:50:23Z
_version_	1777413729172848640

Systematic literature review of prediction techniques to identify work skillset

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