Modeling and Forecasting of Total Supply Malaysia’s Centrifugal Sugar Using ARIMA Model

Authors

  • Nur Amalina Shafie Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Negeri Sembilan Branch, Seremban Campus, 70300 Seremban, Negeri Sembilan, Malaysia
  • Nurbaizura Borhan School of Mathematical Sciences, College of Computing, Informatics and Mathematics, Digital Innovation & Social Entrepreneurship, Universiti Teknologi MARA Shah Alam, 40450 Selangor Malaysia
  • Noor Amalina Nisa Ariffin Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Negeri Sembilan Branch, Seremban Campus, 70300 Seremban, Negeri Sembilan, Malaysia
  • Khairil Anuar Md Isa Department of Basic Sciences, Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 Selangor, Malaysia
  • Nor Azura Md Ghani Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Negeri Sembilan Branch, Seremban Campus, 70300 Seremban, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.14738/assrj.1111.17941

Keywords:

Centrifugal sugar, ARIMA, total supply, forecasting

Abstract

Centrifugal sugar is essential to Malaysia's food sector and culinary scene because it is high-quality, consistent, and convenient for a variety of food and beverage applications. Customers, chefs, and food manufacturers who are looking for dependable sweetening solutions for their regular cooking and dining experiences choose it because of its broad availability and adaptability. To support market stability, price control, production scheduling, trade policy development, risk management, policy formation, and consumer welfare, it is essential to forecast the centrifugal sugar supply in Malaysia. Autoregressive Integrated Moving Average (ARIMA) model is one of Box-Jenkins model which is common time series forecasting methodology that is widely utilised in various sectors including economics, finance, and business. Therefore, this research interest to model and forecast the total supply of centrifugal sugar in Malaysia using ARIMA model. This research used data from the IndexMundi website and analysed by using R software. This research found that the best model to forecast the total supply Malaysia’s centrifugal sugar is ARIMA (1,1,2). The total supply of Malaysia’s centrifugal sugar will increase in 6 years ahead.

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Published

2024-11-30

How to Cite

Shafie, N. A., Borhan, N., Ariffin, N. A. N., Isa, K. A. M., & Ghani, N. A. M. (2024). Modeling and Forecasting of Total Supply Malaysia’s Centrifugal Sugar Using ARIMA Model. Advances in Social Sciences Research Journal, 11(11), 238–246. https://doi.org/10.14738/assrj.1111.17941

Issue

Vol. 11 No. 11 (2024): Advances in Social Sciences Research Journal

Section

Articles

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Copyright (c) 2024 Nur Amalina Shafie, Nurbaizura Borhan, Noor Amalina Nisa Ariffin, Khairil Anuar Md Isa, Nor Azura Md Ghani

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