Forecasting Tourist Arrival in the Province of Surigao del Sur, Philippines using Time Series Analysis

Ruby Mae Ebuna Maliberan

Abstract


The study attempted to forecast the number of tourist arrival in the province of Surigao del Sur using the historical monthly tourist arrival data from 2012-2016 using three time series. Findings showed that the tourist arrival in the province is likely to be increasing. As more foreign and local tourist arrivals are expected as a result of forecast model. Furthermore, it showed that there was a long term increasing trend of the tourist arrival in the province. Results revealed that the Mean Absolute Percentage Error (MAPE) of the forecasted tourist arrival data yielded an error of 11 % which means that predicted data is closer to the actual data. Based on the findings of the study, the researcher recommends that this study can be adapted by other Tourism Office of CARAGA, Philippines.

 


Keywords


Forecasting;Multiplicative Decomposition;Regression;Tourist arrival;Time Series Analysis

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DOI: http://dx.doi.org/10.30630/joiv.3.3.268

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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610  (print) | 2549-9904 (online)
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Creative Commons License is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.