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ANALISIS DATA AUTOMATED WEATHER OBSERVING SYSTEM (AWOS) UNTUK IDENTIFIKASI ANGIN DI LANDAS PACU BANDARA SYAMSUDIN NOOR BANJARMASIN DENGAN MENGGUNAKAN WRPLOT
Abstract
The Importance of Wind Direction and Speed Analysis for Flight Safety at Syamsudin Noor Airport Banjarmasin, Particularly During the Critical Phases of Takeoff and Landing, Which Are Strongly Influenced by Wind Conditions Such as Crosswinds and Tailwinds. Wind data were obtained from the Automated Weather Observing System (AWOS), an automated system that continuously and accurately records meteorological parameters. This data was then analyzed using the WRPLOT software to visualize wind patterns in the form of wind rose diagrams This study utilized wind data from the 2019–2024 period and correlated it with go-around events caused by wind conditions during 2021–2023. The results indicate that wind direction and speed distributions vary seasonally, with predominant winds coming from the northeast and west. These conditions occasionally exceed the safety thresholds for certain types of aircraft, particularly during the rainy and transitional seasons. Go-around events most frequently occurred when tailwinds reached or exceeded 10 knots, which aligns with the operational limits of commercial aircraft such as the Boeing 737 and Airbus A320. Data validation revealed a correlation between wind intensity and aircraft operational disruptions, emphasizing the need for strict monitoring of surface wind conditions. The findings conclude that the integration of AWOS and wind rose analysis through WRPLOT is highly beneficial in detecting meteorological risks around the runway area. These insights are crucial for enhancing flight safety and operational efficiency. The author recommends optimizing the use of real-time AWOS data and adjusting airport operational procedures based on the identified seasonal wind patterns.
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DOI: http://dx.doi.org/10.20527/es.v21i3.23177
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