A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill

This thesis explores three distinct mathematical modelling approaches—Malthusian growth, Monte Carlo simulation, and Runge-Kutta Fourth (RK4) method to predict and analyse the unemployment rates of recent university graduates over a span of ten years. The accuracy of each method is determined by the...

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Main Author:	Sharill, Haziq Emieril
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Analytical methods used in the solution of physical problems
Online Access:	https://ir.uitm.edu.my/id/eprint/95236/1/95236.pdf
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id	my-uitm-ir.95236
record_format	uketd_dc
spelling	my-uitm-ir.952362024-05-15T07:51:04Z A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill 2024 Sharill, Haziq Emieril Analytical methods used in the solution of physical problems This thesis explores three distinct mathematical modelling approaches—Malthusian growth, Monte Carlo simulation, and Runge-Kutta Fourth (RK4) method to predict and analyse the unemployment rates of recent university graduates over a span of ten years. The accuracy of each method is determined by the different model characteristics. The study utilises actual data from 2012 to 2021 and employs each method to interpolate and predict the number of unemployed fresh graduates in Malaysia for the subsequent decade. Interpolation allows the predictability of each method to be observed and compared to actual data collected, providing evidence for each method's precision in modelling unemployed fresh graduates in Malaysia. The comparative analysis involves evaluating the Root Mean Square Deviation (RMSD) for each method, providing insights into the accuracy and reliability of the predictions. The Runge-Kutta Fourth (RK4) method achieves the lowest Root Mean Square Deviation (RMSD) value among the three modelling methods examined, indicating that it is the most accurate. This emphasises how RK4 method models the number of unemployed fresh graduates effectively in comparison to the Monte Carlo simulation and Malthusian growth approaches. Each model is encoded separately in the Python software for the purpose of results and analysis. The findings from this research aim to contribute to a deeper understanding of the effectiveness of these modelling techniques in predicting the number of unemployment among recent university graduates. 2024 Thesis https://ir.uitm.edu.my/id/eprint/95236/ https://ir.uitm.edu.my/id/eprint/95236/1/95236.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Nor-Al-Din, Siti Musliha
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nor-Al-Din, Siti Musliha
topic	Analytical methods used in the solution of physical problems
spellingShingle	Analytical methods used in the solution of physical problems Sharill, Haziq Emieril A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
description	This thesis explores three distinct mathematical modelling approaches—Malthusian growth, Monte Carlo simulation, and Runge-Kutta Fourth (RK4) method to predict and analyse the unemployment rates of recent university graduates over a span of ten years. The accuracy of each method is determined by the different model characteristics. The study utilises actual data from 2012 to 2021 and employs each method to interpolate and predict the number of unemployed fresh graduates in Malaysia for the subsequent decade. Interpolation allows the predictability of each method to be observed and compared to actual data collected, providing evidence for each method's precision in modelling unemployed fresh graduates in Malaysia. The comparative analysis involves evaluating the Root Mean Square Deviation (RMSD) for each method, providing insights into the accuracy and reliability of the predictions. The Runge-Kutta Fourth (RK4) method achieves the lowest Root Mean Square Deviation (RMSD) value among the three modelling methods examined, indicating that it is the most accurate. This emphasises how RK4 method models the number of unemployed fresh graduates effectively in comparison to the Monte Carlo simulation and Malthusian growth approaches. Each model is encoded separately in the Python software for the purpose of results and analysis. The findings from this research aim to contribute to a deeper understanding of the effectiveness of these modelling techniques in predicting the number of unemployment among recent university graduates.
format	Thesis
qualification_level	Bachelor degree
author	Sharill, Haziq Emieril
author_facet	Sharill, Haziq Emieril
author_sort	Sharill, Haziq Emieril
title	A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
title_short	A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
title_full	A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
title_fullStr	A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
title_full_unstemmed	A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill
title_sort	comparative analysis of modelling approaches for unemployment prediction in recent university graduates in malaysia / haziq emieril sharill
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/95236/1/95236.pdf
_version_	1804889952194920448

A comparative analysis of modelling approaches for unemployment prediction in recent university graduates in Malaysia / Haziq Emieril Sharill

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