| 000 | 02603ntm a2200361 i 4500 | ||
|---|---|---|---|
| 999 |
_c96407 _d96413 |
||
| 003 | MY-KuUP | ||
| 005 | 20251125105953.0 | ||
| 006 | t||||fr|||| 000 0 | ||
| 008 | 220329s2021 my a|||frm||| 000 0 eng d | ||
| 020 |
_aTHE0009193(Local) _qhardback |
||
| 040 |
_aUMP _beng _cUMP _erda |
||
| 090 | _aPSM .A354 2021 r Thesis | ||
| 100 | 1 |
_aMegat Muhammad Afif Megat Muainuddin, _eauthor. |
|
| 245 | 1 | 0 |
_aTime arrival in series forecasting model for tourist National Park Kuala Tahan, Pahang / _cMegat Muhammad Afif Megat Muainuddin |
| 264 | 1 |
_aKuantan, Pahang : _bUMP, _c2021 |
|
| 264 | 4 | _c© 2021 | |
| 300 |
_axi, 123 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM |
||
| 336 |
_atext _2rdacontent |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 338 |
_acomputer disc _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 500 | _aCentre for Mathematical Sciences | ||
| 502 | _aThesis (Master of Science (Mathematics) -- Universiti Malaysia Pahang – 2021 | ||
| 504 | _aIncludes bibliographical references | ||
| 520 | 3 | _aTourism 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 the best model to forecast the number of tourist arrival in National Park Kuala Tahan, Pahang is SARIMA (1,0,0)(1,0,1) 12 which is based on the smallest value of MAPE, RMSE and MSE. 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 between the local and foreign tourist arrival for eco-tourism destination | |
| 610 | 2 | 0 |
_aCentre for Mathematical Sciences _xDissertations |
| 650 | 0 |
_aUniversities and colleges _xDissertations |
|
| 650 | 0 | _aTheses | |
| 942 |
_2lcc _cTHESIS |
||