SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in 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 is profitable. From economy perspective, eco- tourism is a growing business, and it is an important indicator to the tourism industry. It also generates in...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32527/ http://umpir.ump.edu.my/id/eprint/32527/1/SARIMA%20and%20exponential%20smoothing%20model%20for%20forecasting%20ecotourism%20demand.pdf |
| _version_ | 1848824043667456000 |
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| author | Noratikah, Abu Wan Nur Syahidah, Wan Yusoff Megat Muhammad Afif, Megat Muainuddin Syarifah Zyurina, Nordin |
| author_facet | Noratikah, Abu Wan Nur Syahidah, Wan Yusoff Megat Muhammad Afif, Megat Muainuddin Syarifah Zyurina, Nordin |
| author_sort | Noratikah, Abu |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Tourism forecasting can lead to an important element in tourism industry to ensure that each investment by individuals, companies and government is profitable. From economy perspective, eco- tourism is a growing business, and it is an important indicator to the tourism industry. It also generates income revenue to the owner and surrounding communities. This research aims to forecast the eco-tourism demand based on number of tourist arrival for both local and foreign tourist at National Park Kuala Tahan, Pahang. The forecasting models used are seasonal autoregressive integrated moving average (SARIMA) and exponential smoothing. Both forecasting models are compared and assessed using mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE). The result demonstrated that SARIMA (1,0,0)(1,0,1)12 the best model to forecast the number of tourist arrival in National Park Kuala Tahan, Pahang is which give the smallest forecast evaluation values. Hence, the exponential smoothing is not as good as the SARIMA model in forecasting tourist arrival for the data used. In future study, SARIMA model can be used to compare the local and foreign tourist arrival for eco-tourism destination. |
| first_indexed | 2025-11-15T03:06:45Z |
| format | Conference or Workshop Item |
| id | ump-32527 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:06:45Z |
| publishDate | 2021 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-325272021-11-09T07:40:52Z http://umpir.ump.edu.my/id/eprint/32527/ SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang Noratikah, Abu Wan Nur Syahidah, Wan Yusoff Megat Muhammad Afif, Megat Muainuddin Syarifah Zyurina, Nordin QA Mathematics Tourism forecasting can lead to an important element in tourism industry to ensure that each investment by individuals, companies and government is profitable. From economy perspective, eco- tourism is a growing business, and it is an important indicator to the tourism industry. It also generates income revenue to the owner and surrounding communities. This research aims to forecast the eco-tourism demand based on number of tourist arrival for both local and foreign tourist at National Park Kuala Tahan, Pahang. The forecasting models used are seasonal autoregressive integrated moving average (SARIMA) and exponential smoothing. Both forecasting models are compared and assessed using mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE). The result demonstrated that SARIMA (1,0,0)(1,0,1)12 the best model to forecast the number of tourist arrival in National Park Kuala Tahan, Pahang is which give the smallest forecast evaluation values. Hence, the exponential smoothing is not as good as the SARIMA model in forecasting tourist arrival for the data used. In future study, SARIMA model can be used to compare the local and foreign tourist arrival for eco-tourism destination. IOP Publishing 2021 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/32527/1/SARIMA%20and%20exponential%20smoothing%20model%20for%20forecasting%20ecotourism%20demand.pdf Noratikah, Abu and Wan Nur Syahidah, Wan Yusoff and Megat Muhammad Afif, Megat Muainuddin and Syarifah Zyurina, Nordin (2021) SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang. In: Journal of Physics: Conference Series, Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) , 28-29 July 2021 , Kuantan, Pahang, Malaysia. pp. 1-7., 1988 (012118). ISSN 1742-6596 (Published) https://doi.org/10.1088/1742-6596/1988/1/012118 |
| spellingShingle | QA Mathematics Noratikah, Abu Wan Nur Syahidah, Wan Yusoff Megat Muhammad Afif, Megat Muainuddin Syarifah Zyurina, Nordin SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title | SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title_full | SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title_fullStr | SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title_full_unstemmed | SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title_short | SARIMA and exponential smoothing model for forecasting ecotourism demand: A case study in National Park Kuala Tahan, Pahang |
| title_sort | sarima and exponential smoothing model for forecasting ecotourism demand: a case study in national park kuala tahan, pahang |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/32527/ http://umpir.ump.edu.my/id/eprint/32527/ http://umpir.ump.edu.my/id/eprint/32527/1/SARIMA%20and%20exponential%20smoothing%20model%20for%20forecasting%20ecotourism%20demand.pdf |