Forecasting of International Flights Passenger at Soekarno-Hatta Airport using The Triple Exponential Smoothing Method
DOI:
https://doi.org/10.31258/jsmds.v1i1.8Keywords:
Exponential Smoothing Method, Triple Exponential Smoothing Method, Seasonal Data, MAD (Mean Absolute Deviation), MAPEAbstract
This study aims to predict the number of passengers at Sorkarno-Hatta Airport using the method with the first step testing the stationary pattern and seasonal pattern from the data. The triple exponential smoothing method is better at predicting seasonal data on the number of passengers at Soekarno Hatta airport. The best triple exponential smoothing model that can be used to predict the number of passengers at Soekarno Hata Airport is Ft= 0.40xt+0.31St+0.91St-1+1.89 bt-1 +0.60 lt-L with optimal parameters alpha = 0.10, betha = 0.01, and gamma = 0.30.
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