Airport Passenger Traffic Forecast: An Exploratory Study

Sultan Hasanuddin International Airport has been an important hub airport in Indonesia for decades, connecting traffic between west and east as well functioned international gate East along with Sam Ratulangi Airport. Analysing characteristics of historical data pattern, determining factors affecting past behaviour building the best-fit model to forecast future are critical operator. Several techniques employed including Holt-Winter, Decomposition Method Econometric Model. Moreover, trend, seasonal event irregular phenomena from observed analyse behaviour. Passenger 1995 up 2015 is utilized predict until 2020. Validation selected conducted by implementing backtesting method which shows that successful foretell annual passenger movement estimation average deviation around 0.5%. Some potential risks opportunities route expansion identified fortify challenges.