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All Journal Global Advances in Business Studies
Mohidin, Rosle
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Economics, Econometrics & Finance

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Forecasting the number of domestic airplane passenger arrivals using the ARIMA model Adiatma, Tini; Mohidin, Rosle; Mustafa, Omer Allagabo Omer; Yulianti, Ni Luh Putu Nita; Irianto, Okto
Global Advances in Business Studies Vol. 3 No. 2 (2024): Global Advances in Business Studies (GABS)
Publisher : Ifma Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55584/Gabs003.02.2

Abstract

Due to more travel opportunities, the air transport sector has expanded considerably in recent decades. The techniques and operations management applications utilized in the air transportation industry. These include demand forecasting, which predicts future passenger numbers and helps in planning capacity and resources. This research aims to forecast the number of domestic airplane passenger arrivals using the ARIMA model with Minitab and explore the implication on the decision-making of operational management strategies in aviation industries in Indonesia. The research method was analyzed using the ARIMA Model with Minitab 22. The data was collected from the BPS Statistic database on airline domestic passenger arrivals in Indonesia. The result shows the best ARIMA Model is 1,0,1. The forecasting result show the upper and lower number of passengers for 5 years. The significant increase in air passengers necessitates that airlines focus on fleet capacity, flight availability, and service quality improvements while managing competitive ticket prices to maintain passenger numbers. Implementing effective forecasting and dynamic pricing strategies can optimize operational efficiency and ensure sustainable growth in the aviation industry.
Co-Authors Mustafa, Omer Allagabo Omer Okto Irianto, Okto Tini Adiatma Yulianti, Ni Luh Putu Nita