Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman

Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become...

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Main Author:	Lukman, Nur Ashyda
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Neural networks (Computer science) Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf
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id	my-uitm-ir.25203
record_format	uketd_dc
spelling	my-uitm-ir.252032019-08-26T06:53:29Z Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman 2019-08-16 Lukman, Nur Ashyda Neural networks (Computer science) Algorithms Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become an essential. An accurate forecasting of palm oil export is important especially because when dealing with other countries we need to keep up decent image and good name of our country. This study apply Artificial Neural Network (ANN) in forecasting the export of the palm oil in Malaysia. Monthly data from January 2013 to August 2018 that was obtained from Malaysian Palm Oil Board (MPOB) was used in this study. Quick Propagation (QP) algorithm, Conjugate Gradient Descent (GCD) algorithm, Quasi-Newton (QN) algorithm, and Levenberg-Marquardt (LM) algorithm was used in this study. Gradient Descent (GCD) algorithm was concluded as the most suitable algorithm based on the value of error measure. The value of the forecasted also shows an increasing value as it was suitable to used ANN in forecasting the export of palm oil. 2019-08 Thesis https://ir.uitm.edu.my/id/eprint/25203/ https://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of computer and mathematical sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Neural networks (Computer science) Algorithms
spellingShingle	Neural networks (Computer science) Algorithms Lukman, Nur Ashyda Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
description	Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become an essential. An accurate forecasting of palm oil export is important especially because when dealing with other countries we need to keep up decent image and good name of our country. This study apply Artificial Neural Network (ANN) in forecasting the export of the palm oil in Malaysia. Monthly data from January 2013 to August 2018 that was obtained from Malaysian Palm Oil Board (MPOB) was used in this study. Quick Propagation (QP) algorithm, Conjugate Gradient Descent (GCD) algorithm, Quasi-Newton (QN) algorithm, and Levenberg-Marquardt (LM) algorithm was used in this study. Gradient Descent (GCD) algorithm was concluded as the most suitable algorithm based on the value of error measure. The value of the forecasted also shows an increasing value as it was suitable to used ANN in forecasting the export of palm oil.
format	Thesis
qualification_level	Bachelor degree
author	Lukman, Nur Ashyda
author_facet	Lukman, Nur Ashyda
author_sort	Lukman, Nur Ashyda
title	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_short	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_full	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_fullStr	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_full_unstemmed	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_sort	forecasting of palm oil export in malaysia using : artificial neural network / nur ashyda lukman
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of computer and mathematical sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf
_version_	1783733858712158208

Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman

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