Security and safety are the most important things in the world of transportation, especially in aviation or air transportation. Safety and security matters are affected by factors such as visibility, wind direction, wind speed, temperature, dew point and barometric pressure. The most important of these factors is visibility. In world aviation, visibility is stated if the distance is more than 5 km. If the visibility is less than 5 km, the flight will be delayed until the visibility is declared safe. Therefore, in this study a system was built to ensure visibility for flight safety and security. The data in this study were taken from the Aviation Meteorology Center of the Meteorology, Climatology and Geophysics Agency, from Juanda International Airport of Surabaya. The visibility system built has an accuracy value of 93.22% or an RMSE value of 0.06776. In this system, the most appropriate number of parameters is determined, namely: the best learning rate is 0.001, the hidden layer unit is 24, and the number of iterations is 10,000 iterations.


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    Titel :

    Airport Visibility Prediction System to Improve Aviation Safety


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Bagus Harianto, Bambang (Herausgeber:in) / Mahmud, Rizal (Herausgeber:in) / Anas Arifin, Ahmad (Herausgeber:in) / Subagyo, Edwardo (Herausgeber:in) / Mu’ti Sazali, Abdul (Herausgeber:in) / Chrisnawati, Yusfita (Herausgeber:in) / Moonlight, Lady Silk (Autor:in) / Harianto, Bambang Bagus (Autor:in) / Musadek, Ahmad (Autor:in) / Sukma, Meita Maharani (Autor:in)

    Kongress:

    International Conference on Advance Transportation, Engineering, and Applied Science ; 2022 ; Surabaya, Indonesia October 20, 2022 - October 20, 2022



    Erscheinungsdatum :

    22.02.2023


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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