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...

Full description

Saved in:
Bibliographic Details
Main Authors: Abu, Noratikah, Megat Muainuddin, Megat Muhammad Afif, Wan Yusoff, Wan Nur Syahidah, Ismail, Zuhaimy
Format: Conference or Workshop Item
Language:English
English
Published: 2019
Subjects:
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
http://umpir.ump.edu.my/id/eprint/35137/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang
Language: English
English
id my.ump.umpir.35137
record_format eprints
spelling my.ump.umpir.351372022-10-07T07:19:39Z 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)
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 G Geography (General)
QA Mathematics
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
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 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
title Ecotourism demand forecasting at National Park, Kuala Tahan, in Pahang
title_short 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_sort ecotourism demand forecasting at national park, kuala tahan, in pahang
publishDate 2019
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
http://umpir.ump.edu.my/id/eprint/35137/
_version_ 1746210451937558528