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Abstract ▼ AI-Helper

This research is to find out the method appropriate for the forecasting of air-ticket sales using seasonal ARIMA model in the uni-variable time series model. Time series monthly data for the investigation were collected ranging from January 2001 to September 2005. A total of 57 observations were use...

This research is to find out the method appropriate for the forecasting of air-ticket sales using seasonal ARIMA model in the uni-variable time series model. Time series monthly data for the investigation were collected ranging from January 2001 to September 2005. A total of 57 observations were used for data analysis. Research findings showed that the multiplicative seasonal ARIMA(1,0,0)(1,0,0)12 model is appropriate model and post evaluation used the MAPE. The result was very accurate. Finally, this model will be applied from travel agency management strategy and plan, also, this forecasting method enhances reliability and validity. The authors offered several implications based on the findings.

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