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
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Online Access: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
http://umpir.ump.edu.my/id/eprint/26432/
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spelling my.ump.umpir.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)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/26432/1/33.%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
http://umpir.ump.edu.my/id/eprint/26432/
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score 13.211869