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An Analysis Air Traffic Prediction during a Pandemic
4th International Conference on Cybernetics and Intelligent System, ICORIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2273759
ABSTRACT
Air transportation during the covid-19 pandemic experienced a very drastic decline. The decrease in the number of passengers was caused by national and international restrictions. The troublesome administration makes passengers discouraged from traveling using Air transportation. Based on the National Statistics Agency, air transportation experienced a decline from early 2020 to 2021. This study focuses on air traffic predictions, namely the number of aircraft passengers during the COVID-19 pandemic at Indonesia's main airports, namely Kuala Namu, Sukarno Hatta, and Juanda airports., Ngurah Rai and Hasanuddin. The method used to predict the number of airplane passengers during a pandemic is the backpropagation algorithm using the Fletcher Reeves method. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 4th International Conference on Cybernetics and Intelligent System, ICORIS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 4th International Conference on Cybernetics and Intelligent System, ICORIS 2022 Year: 2022 Document Type: Article