Ecotourism demand forecasting at National Park Kuala Tahan, Pahang

Tourism forecasting can lead to an important element in tourism industry to ensure that each investment by individuals, companies and government was worth it. From economy perspective, ecotourism is a growing business nowadays and can be an important indicator to the tourism industry. Hence, this st...

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Main Authors:	Noratikah, Abu, Megat Muhammad Afif, Megat Muainuddin, Wan Nur Syahidah, Wan Yusoff, Zuhaimy, Ismai
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2019
Subjects:	QH301 Biology
Online Access:	http://umpir.ump.edu.my/id/eprint/26432/ http://umpir.ump.edu.my/id/eprint/26432/1/33.%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf http://umpir.ump.edu.my/id/eprint/26432/2/33.1%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf

id	ump-26432
recordtype	eprints
spelling	ump-264322019-12-23T03:14:20Z http://umpir.ump.edu.my/id/eprint/26432/ Ecotourism demand forecasting at National Park Kuala Tahan, Pahang Noratikah, Abu Megat Muhammad Afif, Megat Muainuddin Wan Nur Syahidah, Wan Yusoff Zuhaimy, Ismai QH301 Biology Tourism forecasting can lead to an important element in tourism industry to ensure that each investment by individuals, companies and government was worth it. From economy perspective, ecotourism is a growing business nowadays and can be an important indicator to the tourism industry. Hence, this study attempt to forecast the ecotourism product demand in Pahang based on number of tourist arrivals in National Park Kuala Tahan, Pahang. Box-Jenkins (Seasonal ARIMA) model is used to make analysis and forecast of the number of international and domestic tourist since 2013 until present. The accuracy and validation of the results is measured using mean absolute percentage error (MAPE). Results obtained by applying the proposed model and numerical calculation shows that Seasonal ARIMA models is effective for forecasting the number of tourist arrivals in National Park Kuala Tahan. The best model in forecasting ecotourism product demand in Pahang is   12 SARIMA 0,0,1 2,0,1 with MAPE value 13.92%. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26432/1/33.%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf pdf en http://umpir.ump.edu.my/id/eprint/26432/2/33.1%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf Noratikah, Abu and Megat Muhammad Afif, Megat Muainuddin and Wan Nur Syahidah, Wan Yusoff and Zuhaimy, Ismai (2019) Ecotourism demand forecasting at National Park Kuala Tahan, Pahang. In: The Ninth International Conference on Geotechnique, Construction Materials and Environment (GEOMATE 2019), 20-22 November 2019 , Tokyo, Japan. pp. 1-9.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QH301 Biology
spellingShingle	QH301 Biology Noratikah, Abu Megat Muhammad Afif, Megat Muainuddin Wan Nur Syahidah, Wan Yusoff Zuhaimy, Ismai Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
description	Tourism forecasting can lead to an important element in tourism industry to ensure that each investment by individuals, companies and government was worth it. From economy perspective, ecotourism is a growing business nowadays and can be an important indicator to the tourism industry. Hence, this study attempt to forecast the ecotourism product demand in Pahang based on number of tourist arrivals in National Park Kuala Tahan, Pahang. Box-Jenkins (Seasonal ARIMA) model is used to make analysis and forecast of the number of international and domestic tourist since 2013 until present. The accuracy and validation of the results is measured using mean absolute percentage error (MAPE). Results obtained by applying the proposed model and numerical calculation shows that Seasonal ARIMA models is effective for forecasting the number of tourist arrivals in National Park Kuala Tahan. The best model in forecasting ecotourism product demand in Pahang is   12 SARIMA 0,0,1 2,0,1 with MAPE value 13.92%.
format	Conference or Workshop Item
author	Noratikah, Abu Megat Muhammad Afif, Megat Muainuddin Wan Nur Syahidah, Wan Yusoff Zuhaimy, Ismai
author_facet	Noratikah, Abu Megat Muhammad Afif, Megat Muainuddin Wan Nur Syahidah, Wan Yusoff Zuhaimy, Ismai
author_sort	Noratikah, Abu
title	Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
title_short	Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
title_full	Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
title_fullStr	Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
title_full_unstemmed	Ecotourism demand forecasting at National Park Kuala Tahan, Pahang
title_sort	ecotourism demand forecasting at national park kuala tahan, pahang
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26432/ http://umpir.ump.edu.my/id/eprint/26432/1/33.%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf http://umpir.ump.edu.my/id/eprint/26432/2/33.1%20Ecotourism%20demand%20forecasting%20at%20national%20park%20Kuala%20Tahan%2C%20Pahang.pdf
first_indexed	2023-09-18T22:41:10Z
last_indexed	2023-09-18T22:41:10Z
_version_	1777416924261515264

Ecotourism demand forecasting at National Park Kuala Tahan, Pahang

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