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Analysis of Malaysia’s future talents using time series

The unemployment rate has been increased after the pandemic and it also effects the youth unemployment rate. This research aims to investigate the issues relating to youth talents and employment. In achieving this aim, the main objective is set to forecast the future trend of Malaysia's labour...

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Main Authors: Farhan Arshad, Mohamad Rai’zuddin, Ramli, Nor Azuana, Ab Rashid, Nuryasmin
Format: Article
Language:English
Published: AMCS PRESS 2022
Subjects:
HA Statistics
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/37493/1/IPC%202022%20-%20raiz.pdf
http://umpir.ump.edu.my/id/eprint/37493/
http://amcs-press.com/index.php/ijamcs/article/view/750
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spelling my.ump.umpir.374932023-04-19T03:02:08Z http://umpir.ump.edu.my/id/eprint/37493/ Analysis of Malaysia’s future talents using time series Farhan Arshad, Mohamad Rai’zuddin Ramli, Nor Azuana Ab Rashid, Nuryasmin HA Statistics QA75 Electronic computers. Computer science The unemployment rate has been increased after the pandemic and it also effects the youth unemployment rate. This research aims to investigate the issues relating to youth talents and employment. In achieving this aim, the main objective is set to forecast the future trend of Malaysia's labour force and employed rate in the upcoming 10 years by using time series analysis. Data of labour force are collected through Department of Statistics Malaysia Official Portal. After data cleaning and pre-processing, the data will be analysed by using Double Moving Average and Holt’s Method. The model will be evaluated using R-squared, root mean squared error and mean absolute percentage error. Based on the analysis, the Holt's Method is the best for the number of employed persons by age group (25 to 59 years old) as the model achieves better in each evaluation metric. To conclude, the demand for jobs also increases as the population increases. If this is not manageable, it can cause a higher rate of youth unemployment and the Twelfth Malaysia Plan to develop future talents might not be successful. AMCS PRESS 2022-10-14 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/37493/1/IPC%202022%20-%20raiz.pdf Farhan Arshad, Mohamad Rai’zuddin and Ramli, Nor Azuana and Ab Rashid, Nuryasmin (2022) Analysis of Malaysia’s future talents using time series. Mathematics and Computational Sciences, 3 (1). pp. 1-12. ISSN 9772442284003 http://amcs-press.com/index.php/ijamcs/article/view/750
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HA Statistics
QA75 Electronic computers. Computer science
spellingShingle HA Statistics
QA75 Electronic computers. Computer science
Farhan Arshad, Mohamad Rai’zuddin
Ramli, Nor Azuana
Ab Rashid, Nuryasmin
Analysis of Malaysia’s future talents using time series
description The unemployment rate has been increased after the pandemic and it also effects the youth unemployment rate. This research aims to investigate the issues relating to youth talents and employment. In achieving this aim, the main objective is set to forecast the future trend of Malaysia's labour force and employed rate in the upcoming 10 years by using time series analysis. Data of labour force are collected through Department of Statistics Malaysia Official Portal. After data cleaning and pre-processing, the data will be analysed by using Double Moving Average and Holt’s Method. The model will be evaluated using R-squared, root mean squared error and mean absolute percentage error. Based on the analysis, the Holt's Method is the best for the number of employed persons by age group (25 to 59 years old) as the model achieves better in each evaluation metric. To conclude, the demand for jobs also increases as the population increases. If this is not manageable, it can cause a higher rate of youth unemployment and the Twelfth Malaysia Plan to develop future talents might not be successful.
format Article
author Farhan Arshad, Mohamad Rai’zuddin
Ramli, Nor Azuana
Ab Rashid, Nuryasmin
author_facet Farhan Arshad, Mohamad Rai’zuddin
Ramli, Nor Azuana
Ab Rashid, Nuryasmin
author_sort Farhan Arshad, Mohamad Rai’zuddin
title Analysis of Malaysia’s future talents using time series
title_short Analysis of Malaysia’s future talents using time series
title_full Analysis of Malaysia’s future talents using time series
title_fullStr Analysis of Malaysia’s future talents using time series
title_full_unstemmed Analysis of Malaysia’s future talents using time series
title_sort analysis of malaysia’s future talents using time series
publisher AMCS PRESS
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37493/1/IPC%202022%20-%20raiz.pdf
http://umpir.ump.edu.my/id/eprint/37493/
http://amcs-press.com/index.php/ijamcs/article/view/750
_version_ 1765296916671758336
score 13.211869

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