Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain

Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the...

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Main Authors: Liew, Khim Sen, Shitan, Mahendran, Huzaimi, Hussain
Format: Article
Language:English
Published: Universiti Teknologi MARA, Sarawak 2003
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/11514/
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author Liew, Khim Sen
Shitan, Mahendran
Huzaimi, Hussain
author_facet Liew, Khim Sen
Shitan, Mahendran
Huzaimi, Hussain
author_sort Liew, Khim Sen
building UiTM Institutional Repository
collection Online Access
description Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the time series models are used to forecast the Sarawak black pepper price. It is formally shown in this paper that the pepper price series does not follow a random shows that Autoregressive Moving Average (ARMA) time series models fit the price series well. The ARMA (1,0) model seems to be the best fitting model predicting the pepper price based on the data used in this study.
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publishDate 2003
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spelling uitm-115142015-03-16T04:13:49Z https://ir.uitm.edu.my/id/eprint/11514/ Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain jaswk Liew, Khim Sen Shitan, Mahendran Huzaimi, Hussain Vegetables Pepper Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the time series models are used to forecast the Sarawak black pepper price. It is formally shown in this paper that the pepper price series does not follow a random shows that Autoregressive Moving Average (ARMA) time series models fit the price series well. The ARMA (1,0) model seems to be the best fitting model predicting the pepper price based on the data used in this study. Universiti Teknologi MARA, Sarawak 2003 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/11514/1/AJ_LIEW%20KHIM%20SEN%20JAS%2003.pdf Liew, Khim Sen and Shitan, Mahendran and Huzaimi, Hussain (2003) Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain. (2003) Jurnal Akademik UiTM Sarawak <https://ir.uitm.edu.my/view/publication/Jurnal_Akademik_UiTM_Sarawak.html>. pp. 39-55. ISSN 0128-2635
spellingShingle Vegetables
Pepper
Liew, Khim Sen
Shitan, Mahendran
Huzaimi, Hussain
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title_full Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title_fullStr Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title_full_unstemmed Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title_short Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
title_sort time series modelling and forecasting of sarawak black pepper prices / liew khim sen, mahendran shitan and huzaimi hussain
topic Vegetables
Pepper
url https://ir.uitm.edu.my/id/eprint/11514/