Model for Forecasting Passenger of Airport

This research forecasts the growth of air traffic in one of int’l airport.. It actually estimates the growth of air traffic with the trend model, and then the growth is forecasted by monthly air traffic and time series data. To estimate the coefficient of the model in general econometric methods use the time series data, it is suggested that the data should be stationary, otherwise false regression would be probable. Then before using, the data (variables), the data should be tested so as to be stationary. However, there are different methods to make data stationary such as Drawing Diagram and Augmented DickeyFuller Test (ADF), which were used in this dissertation. Finally, the estimation is base on the fifth month, namely (Mordad).