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All Journal Jurnal Pendidikan Fisika dan Teknologi Journal of Technomaterial Physics
Agustina, Tari
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Astronomy Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Mapping Flood-Prone Areas Using GIS Through as Geo-Artificial Intelligence (Geo-Ai) Approach in Bengkulu City Apriana, Agnes; Al Ansory, Andre Rahmat; Agustina, Tari; Amalia, Isra; Refrizon, Refrizon
Journal of Technomaterial Physics Vol. 6 No. 1 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i1.16006

Abstract

Bengkulu City is an area prone to flooding due to its proximity to the river estuary. Flooding in Bengkulu City usually occurs during the rainy season, when high rainfall and overflowing rivers can cause inundation in several areas around the city. This research aims to identify flood-prone areas in Bengkulu City through a Geographic Artificial Intelligence (Geo-AI) approach. Geo-AI is an artificial intelligent machine with geospatial data, including satellite images and weather data, whose data analysis is more accurate and efficient in identifying flood-prone areas. Geographic Information System (GIS) can present objects of flood-prone areas from the real world in digital form. Through Google Earth Engine (GEE), satellite imagery data and other geospatial data are processed and analyzed using artificial intelligence algorithms to identify flood patterns and frequently flooded areas. The final result of this research is a map of flood-prone areas in Bengkulu City. On the map, it can be concluded that the red-colored areas including Rawa Makmur, Tanjung Agung, Bentiring, Kebun Tebeng, Penurunan, Sukarami, Pekan Sabtu, and Air Sebakul are areas that are often flooded so that these areas can be confirmed as flood-prone.
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.
Co-Authors Al Ansory, Andre Rahmat Amalia, Isra Apriana, Agnes Johan, Septi Lizalidiawati Lizalidiawati Norfahmi, Siti Hairunnisa Refrizon Refrizon Rosyid, Muhammad Ilham