Model Arima Pada Pertumbuhan Penumpang Angkutan Udara: Sebuah Studi Kasus

This final project discusses a forecasting using Autoregressive Integrated Moving Average (ARIMA) model. The forecasting method is used to forecast the number of departure and arrival of domestic passengers, at PT. Angkasa Pura II the Branch Office of Sultan Syarif Kasim II Pekanbaru in 2016. The time series data generally contain trend and seasonal elements. Using R language, this study s…