ANALISIS KEDATANGAN PENUMPANG PADA PENERBANGAN INTERNASIONAL DI YOGYAKARTA

Abstract

This research is quantitative descriptive research which aims to make predictions using the ARIMA model time series forecasting method. The data obtained was analyzed using the Minitab 16 program. The data used for forecasting was the number of international passenger arrivals in Yogyakarta for the period April 2022 – September 2024. Based on the results of data analysis, it was found that the ARIMA model time series forecasting method was the best. to estimate the number of arrivals. international passengers in Yogyakarta AR model (1,1,1). This method was chosen because the results are significant and meet the white noise requirements

Keywords: Passengers, Forecasting, Arima