Ecotourism demand forecasting at National Park, Kuala Tahan, in 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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Format: | Conference or Workshop Item |
Language: | English English |
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2019
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Online Access: | http://umpir.ump.edu.my/id/eprint/35137/1/2019%20Geomate%20Ecotourism%20Demand%20Forecasting%20at%20National%20Park%20Kuala%20Tahan%20in%20Pahang.pdf http://umpir.ump.edu.my/id/eprint/35137/7/Ecotourism%20demand%20forecasting%20at%20National%20Park.pdf |
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author | Abu, Noratikah Megat Muainuddin, Megat Muhammad Afif Wan Yusoff, Wan Nur Syahidah Ismail, Zuhaimy |
author_facet | Abu, Noratikah Megat Muainuddin, Megat Muhammad Afif Wan Yusoff, Wan Nur Syahidah Ismail, Zuhaimy |
author_sort | Abu, Noratikah |
collection | UMP |
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%. |
first_indexed | 2024-03-06T13:00:01Z |
format | Conference or Workshop Item |
id | UMPir35137 |
institution | Universiti Malaysia Pahang |
language | English English |
last_indexed | 2024-03-06T13:00:01Z |
publishDate | 2019 |
record_format | dspace |
spelling | UMPir351372022-10-07T07:19:39Z http://umpir.ump.edu.my/id/eprint/35137/ Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang Abu, Noratikah Megat Muainuddin, Megat Muhammad Afif Wan Yusoff, Wan Nur Syahidah Ismail, Zuhaimy G Geography (General) QA Mathematics 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%. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35137/1/2019%20Geomate%20Ecotourism%20Demand%20Forecasting%20at%20National%20Park%20Kuala%20Tahan%20in%20Pahang.pdf pdf en http://umpir.ump.edu.my/id/eprint/35137/7/Ecotourism%20demand%20forecasting%20at%20National%20Park.pdf Abu, Noratikah and Megat Muainuddin, Megat Muhammad Afif and Wan Yusoff, Wan Nur Syahidah and Ismail, Zuhaimy (2019) Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang. In: 9th Int. Conf. on Geotechnique, Construction Materials and Environment , 20 - 22 November 2019 , Hotel Continental Fuchu in Tokyo, Japan. pp. 1266-1270.. ISBN 978-4-909106025 (Submitted) |
spellingShingle | G Geography (General) QA Mathematics Abu, Noratikah Megat Muainuddin, Megat Muhammad Afif Wan Yusoff, Wan Nur Syahidah Ismail, Zuhaimy Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title | Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title_full | Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title_fullStr | Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title_full_unstemmed | Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title_short | Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang |
title_sort | ecotourism demand forecasting at national park kuala tahan in pahang |
topic | G Geography (General) QA Mathematics |
url | http://umpir.ump.edu.my/id/eprint/35137/1/2019%20Geomate%20Ecotourism%20Demand%20Forecasting%20at%20National%20Park%20Kuala%20Tahan%20in%20Pahang.pdf http://umpir.ump.edu.my/id/eprint/35137/7/Ecotourism%20demand%20forecasting%20at%20National%20Park.pdf |
work_keys_str_mv | AT abunoratikah ecotourismdemandforecastingatnationalparkkualatahaninpahang AT megatmuainuddinmegatmuhammadafif ecotourismdemandforecastingatnationalparkkualatahaninpahang AT wanyusoffwannursyahidah ecotourismdemandforecastingatnationalparkkualatahaninpahang AT ismailzuhaimy ecotourismdemandforecastingatnationalparkkualatahaninpahang |