Prediksi Jumlah Penumpang Pesawat Domestik di Bandara Soekarno-Hatta dengan Metode SARIMA untuk Mendukung Pengelolaan Kebijakan Transportasi Publik

Authors

  • Bilqis Jamil Abdullah Huwaisalt Jurusan Administrasi Publik, UIN Sunan Gunung Djati Bandung, Indonesia Author
  • Difa Aghniya Rakhman Jurusan Administrasi Publik, UIN Sunan Gunung Djati Bandung, Indonesia Author
  • Dinda Febriani Jurusan Administrasi Publik, UIN Sunan Gunung Djati Bandung, Indonesia Author

Keywords:

SARIMA, number of air passengers, public transportation, passenger forecasting, transportation policy

Abstract

This study aims to predict the number of domestic air passengers at Soekarno-Hatta Airport using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The data used is time series data from January 2019 to December 2023, which shows a seasonal pattern. The results of the analysis show that the SARIMA (0,1,0)(0,0,1)[12] model is the most appropriate for this data. Predictions for the next 12 months show a seasonal fluctuation pattern, with the peak number of passengers occurring in July and a decline at the beginning and end of the year. These findings can help policy makers in increasing transportation capacity and formulating more effective policies.

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Published

04-02-2025

Issue

Vol. 1 No. 1 (2025): The 1st Data Mining for Public Policy Research Series

Section

Articles

License

Copyright (c) 2025 DIGITAL POLICY INSIGHTS: Advances in Data Mining and Digital Governance

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

Prediksi Jumlah Penumpang Pesawat Domestik di Bandara Soekarno-Hatta dengan Metode SARIMA untuk Mendukung Pengelolaan Kebijakan Transportasi Publik. (2025). DIGITAL POLICY INSIGHTS: Advances in Data Mining and Digital Governance, 1(1), 132-144. https://fisip.uinsgd.ac.id/conferences/index.php/ADMDG/article/view/160