International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Applying ARIMA Model to Predict Future Jobs in the Saudi Labor Market

Abstract

The labor force is one of the most critical components of advanced countries, as an investment in the labor force leads to the country's economic development. The development of the labor force and human resources requires the development of education to obtain outputs that comply with the labor market requirements. In recent years, technology has become the dominant factor in the development of countries as strength began measured by technical progress. Therefore, this paper focused on predicting future technical jobs for the KSA, especially the government sector. The used dataset is named Government job advertisements (GJA) and owned by the Ministry of Human Resources and Social Development (MHRSD). The Autoregressive Integrated Moving Average (ARIMA) was developed to obtain the results of future jobs. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) are the elevation metrics that will be used to assess the performance of the ARIMA. Results demonstrated that the ARIMA achieves 5.45 of RMSE, 2.19 MAE, 5.44 MSE, and 4581076540077221.0 MAPE.

Country : Saudi Arabia

1 Mashael Alyahya2 Mohammed Hadwan

  1. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia
  2. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia & Department of Computer Science, College of Applied Sciences, Taiz University, Taiz, Yemen

IRJIET, Volume 6, Issue 4, April 2022 pp. 1-8

doi.org/10.47001/IRJIET/2022.604001

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