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Journal : Journal of Technomaterial Physics

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.
Delineation of Coal Identification Using Inversion Microtremor and Borehole at PT X Rahmawati, Nurul Ilmi; Refrizon, Refrizon; Kusuma, Budi Praba; Ansory, Andre Rahmat Al; Syah, M. Taufiqqurahman; Anggria, Della Cici; Triutami, Olga
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.v6i1.16077

Abstract

Coal is a natural resource composed of organic and inorganic materials. The potential of coal is one of the national and world resources. Microtremor method is a geophysical exploration method that utilises microseismic waves to identify the presence of hydrocarbons. Microtremor data processing is processed first using Geopsy software to obtain the H/V curve which will then be processed using Hv-Inv software to obtain the Vs value. Microtremor data is correlated with data from the borehole, the coal seam thickens to the southwest. Similarly, with the correlation results of other microtremor cross sections, the cross section shows that the coal seam is thickened and continuous to the west or southwest. This is further strengthened by the existence of boreholes as a correlation of coal Vs value data in the range of 613.37 m/s-887.70 m/s. Other constituent materials such as soil,claystone, sandstone, carboneseus. Based on the Vs value of the 1D model, it is known that the research area shows the distribution of coal at a depth of 53.5-76 metres. The coal layer in the study area is bituminous to sub-bituminous coal.
Co-Authors Abimayu, Dadin Mars Agung Satria, Lori Agustina, Tari Al Ansory, Andre Rahmat Al Rafly, Tegar Al-Ansory, Andre Rahmat Amalia, Isra Anggria, Della Cici Ansory, Andre Rahmat Al Apriana, Agnes Apriana, Yelda Apriyanti, Nurul Arif Ismul Hadi Arif Ismul Hadi Arsi, Sefti Dini Arya J Akbar Arya Putra Anggi Awaliyah, Isfardian Agustin Azzahra, Gusti Ayu Zahwa Bernard, Admo Daniel, Adrian Darmawan Ikhlas Fadli Fachri Faisal Fadli, Darmawan Ikhlas Falenia, Felly Farid*, Muchammad Farid, Muchammad Fauzi, M. Wilzam Febriansyah, Gian Ori Fikri, Muhammad Haikal Gayatriani, Intan Gumanty, Usman Halauddin Halauddin Halauddin Hanifah Maulani, Siti Hanipa, Rerisa Al Hardiansyah Hardiansyah Hardiansyah, Debi Harlianto, Budi Helinnes, Putri Henny Johan Herno Yudiansyah Hutasoit, Tegar Ashary Idris, Beni Syakban Ikhlas Fadli, Darmawan Irkhos Irkhos Isfardian Agustin Awaliyah Jaya, Shara Ashari Prana Jaya Kamal, Thomas Mustafa Kamila, Nur Husniatin Kausari, Alfata Khairul Amri Kusuma, Budi Praba Larang, Miranda Puspa Lindung Zalbuin Mase, Lindung Zalbuin M Farid Maesaroh, Rina Maesaroh Maghribi, Faritz Bagda Manurung, Yeni Sartika Misliniyati, Rena Muammar, Zaky Muhammad Dani Muhammad Farid Naldo, Asrol Nanang Sugianto Natasya, Indah Dwi Nazli, Khairun Novtrisa, Indri Nurhayati, Ratna Dewi Putri, Aisyah Cindy Phylia Putri, Elona Gita Gatra Putri, Melly Zuhadjar Putriani, Eli Rabbani, M Rifqi Rafly, Tegar Al Rahmat Al-Ansory, Andre Rahmat, Andre Rahmawati, Nurul 'Ilmi Rahmawati, Nurul Ilmi Raihana, Hana Rida Samdara Sahputra, Rio Sapanur, Destika Meisy Saputri, Winda Saragih, Ronni Samuel Sholeha, Della Zakia Suaidi Ahadi Suhendra Suhendra Sumajaya, Erlan Sumanjaya, Erlan - Supriani, Fepy Suwarsono Suwarsono Syah, M. Taufiqqurahman Syaputra, Edo Win Sya’adah, Isni Taufiqurrahman Syah, Muhammad Tri Utami, Olga Triutami, Olga Verentina, Sendiya Yuni Setyowati Zakariya, Hilmi