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Journal : Jurnal Pendidikan Fisika dan Teknologi

Wind Pattern Analysis and Its Impact on Flight Safety at Fatmawati Soekarno Airport Using Wind Rose Method (2019-2023) Agustina, Tari; Rosyid, Muhammad Ilham; Johan, Septi; Norfahmi, Siti Hairunnisa; Lizalidiawati, Lizalidiawati
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 1 (2025): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i1.8465

Abstract

A study of wind patterns was conducted to minimize aircraft accidents at Fatmawati Soekarno Airport, Bengkulu City. The data was then processed using the Wrplot application to show the direction and difference in wind speed and create a wind pattern image in the form of a wind rose diagram. This study aims to analyze wind patterns and speeds at Fatmawati Soekarno Airport, Bengkulu City for a period of 5 years (2019-2023) using the Wind Rose method. Data obtained from the Meteorology, Climatology, and Geophysics Agency, Fatmawati Bengkulu Meteorology Station shows that the dominant wind direction comes from the Southeast, Northeast, and North which are influenced by seasonal changes. The results of the analysis show extreme wind speeds ranging from 2.50 - 4.70 m / s which are classified as light winds and are still safe for flight operations. With a deep understanding of this wind pattern, it is hoped that airport managers can optimize the use of runways and improve flight safety by accommodating weather conditions. The results of this study also emphasize the importance of consistent wind pattern monitoring to support risk management related to extreme weather.
Analysis of Rainfall Distribution and Climate Classification in Response to Flood Events in Lebong Regency, Indonesia Limbong, Rospita Naomi; Anwar, Anang; Johan, Septi; Lizalidiawati, Lizalidiawati
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 1 (2025): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i1.8740

Abstract

This study aims to analyze the distribution and time series of rainfall in Lebong Regency, using a case study of the flood event on April 16, 2024, and to analyze the condition of climate change in Lebong Regency from 2014 to 2024. This research uses daily rainfall data to examine flood events and monthly data over 11 years from 2014 to 2024 for climate classification analysis with 10 rainfall observation stations using the Schmidt-Ferguson method. The results of the data processing were analyzed using descriptive and quantitative methods. Based on the research results, it was found that the distribution of rainfall before, during, and after the flood event experienced a significant change. Before the incident, the lowest rainfall in Lebong Regency was recorded at the Bungin, Gunung Alam, Rimbo Pengadang, and Semelako Atas Stations with a value of 0 mm/day (no rain). Rainfall increased on the day of the flood in several sub-districts, with the highest recorded at the Lemeu Station in Uram Jaya sub-district, reaching 101 mm/day. Meanwhile, after the day of the flood, the rainfall was 12 mm/day. Meanwhile, the climate classification based on the Schmidt-Ferguson method shows that the rainfall in Lebong Regency falls into the wet to very wet climate category. The very wet climate category in Lebong Regency is represented by the Bungin station, with rainfall amounting to 1166 mm/month in January 2020. Based on the 11-year average data, the highest rainfall occurs in November, amounting to 537.58 mm/year. The study also contributes to understanding local flood risk based on long-term rainfall classification, which has rarely been explored in the Bengkulu region.
The Influence of Monsoon Winds on Humidity, Cloud Cover, and Rainfall in Bengkulu City Warahma, Ella; Lizalidiawati, Lizalidiawati; Irkhos, Irkhos; Herawati, Tuti
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 1a (2025): Special Issue
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i1a.8811

Abstract

The city of Bengkulu, which borders the Indian Ocean, has unique weather and climate. The ENSO phenomenon in 2023 will also strengthen the impact of monsoon winds on weather parameters in Bengkulu City. This research aims to analyze the influence of monsoon winds on air humidity, cloud cover and rainfall in Bengkulu City during 2022-2024. Data including wind speed and direction, humidity, cloud cover, and rainfall, were analyzed using WRPLOT View, ArcGIS, Panoply, and Excel software. The method used is descriptive, quantitative and statistical analysis. The results show that during the Northwest Monsoon (January 2022–2024), the dominant winds are from the northwest and northeast with cloud cover (80%) and the highest rainfall is 449 mm/month and the lowest is 208 mm/month. In Transition Monsoon I (April 2022–2024), the wind direction is from the northwest, the highest humidity is 94%, cloud cover (75%) and rainfall is medium to high. In the Southeast Season (August 2022), the wind direction varies greatly with the highest (95%) and lowest (77%) air humidity and the highest rainfall of 558 mm/month. Meanwhile, August and October 2023 will see a decrease in rainfall, where the rainfall will be 10 – 84 mm/month due to the El Niño phenomenon. Transition Season II (October 2022 and 2024) the wind direction varies greatly, namely from the southeast, northwest and north, rainfall varies from low to high. The highest correlation coefficient for rainfall with humidity was 0.45 at the Bengkulu Climatology Station and the lowest was 0.22 at the Bengkulu University Station. The highest correlation with cloud cover was 0.67 at Tanjung Agung Station and the lowest was 0.53 at Bengkulu Climatology Station. This study reveals that the northwest monsoon contributes to high humidity and rainfall, and El Niño will reduce rainfall significantly in 2023. These results indicate that monitoring seasonal winds is very important for predicting hydrometeorological disasters in Bengkulu City.