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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.
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.
Analisa Lapisan Sedimen Bawah Permukaan Pada Pembangunan Jalan Elevated Danau Dendam Tak Sudah Kota Bengkulu Menggunakan Metode HVInv Setyowati, Yuni; Farid, Muchammad; Ismul Hadi, Arif; Helinnes, Putri; Hardiansyah, Debi; Refrizon, Refrizon; Gumanty, Usman; Raihana, Hana; Rahmat Al-Ansory, Andre; Taufiqurrahman Syah, Muhammad
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.187-197.2024

Abstract

Bengkulu City is situated within a subduction zone where the Indo-Australian and Eurasian tectonic plates converge, rendering the area highly susceptible to seismic activity. This study employs the microseismic method to assess seismic vulnerability and the subsurface rock structure at the Dendam Tak Sudah Lake Flyover Construction Site in Bengkulu City, which encompasses a swampy region. The microseismic method used was an inversion of the horizontal to vertical (H/V) spectral ratio (HV-Inv) for determining the dominant frequency (f0), amplification factor (A0), seismic sensitivity index (Kg), and shear wave velocity (Vs). The findings reveal that f0 in the study area range from 2.16 to 7.53 Hz, A0 vary from 0.40 to 3.79, and Kg values span from 0.03 to 6.04. The sedimentary layers exhibit an average thickness of 5-10 meters, with some locations showing significantly thicker sedimentary deposits. Notably, the highest seismic susceptibility is recorded at point T8. The Vs values range from 185.19 to 539.49 m/s, which are inversely proportional to the Kg values and indicate soil classifications varying from soft to medium. The overall seismic risk in the study area is moderate. These results offer key insights into geophysical and geological conditions in Bengkulu City, crucial for earthquake mitigation.
Identifikasi Keberadaan Batu Apung Berdasarkan Data Georadar dan Data Geolistrik Resistivitas di Kecamatan Ampenan dan Kecamatan Sekarbela, Kota Mataram Arsi, Sefti Dini; Farid, Muhammad; Refrizon, Refrizon
Jurnal Ilmu Fisika Vol 17 No 1 (2025): March 2025
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.17.1.41-52.2025

Abstract

This study was conducted to identify the presence and distribution of pumice resulting from the 1257 AD eruption of Mount Samalas in the Ampenan and Sekarbela Districts of Mataram City. The research is significant because pumice serves as a volcanic indicator that greatly influences soil characteristics and the local environment. The study aims to map the distribution of pumice and to examine its subsurface dispersal, particularly in coastal areas. Georadar and geoelectric resistivity methods were employed—two geophysical techniques that measure the electrical response of the subsurface, thereby detecting changes in resistivity and conductivity indicative of volcanic material such as pumice. The results reveal that pumice is uniformly distributed at depths of 0–9 meters and is intermixed with gravel, silt, and sand. In the study area, the soil layer is predominantly sandy, likely due to its coastal location. This research underscores the importance of using geophysical methods to map the distribution of volcanic materials in shallow layers, especially in areas affected by volcanic eruptions.
Studi Mikrozonasi Kerentanan Seismik dan Bangunan Bertingkat Menggunakan Metode HVSR (Horizontal to Vertical Spectral Ratio) di Kabupaten Bengkulu Selatan Novtrisa, Indri; Mase, Lindung Zalbuin; Refrizon, Refrizon; Misliniyati, Rena; Amri, Khairul; Hadi, Arif Ismul; Fadli, Darmawan Ikhlas
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 3 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i3.19616

Abstract

Mikrozonasi seismik merupakan proses pemetaan untuk memprediksi respon tanah terhadap guncangan seismik yang dapat digunakan sebagai acuan mitigasi bencana dan pembangunan yang akan dilakukan di Kabupaten Bengkulu Selatan. Penelitian ini menggunakan data shapefile peta administrasi dan data mikrotremor sebanyak 69 titik. Data mikrotremor kemudian diolah menggunakan metode HVSR (Horizontal to Vertical Spectral Ratio) untuk mendapatkan kurva HVSR. Pengolahan data ini menghasilkan nilai faktor amplifikasi ( ) pada rentang 1,17 – 4,07, nilai frekuensi natural ( ) antara 0,25 Hz – 14,40 Hz, indeks kerentanan seismik (Kg) antara 0,26 – 11,78,  dan nilai periode dominan ( ) antara 0,07 s – 3,86 s. Parameter ini selanjutnya digunakan untuk membuat peta sebaran yang akan memberikan gambaran mengenai distribusi spasialnya. Selain itu, potensi bangunan yang rentan terhadap bencana seismik dengan ketinggian 1 hingga 2 lantai teridentifikasi di Kecamatan Pino Raya dan Kecamatan Kota Manna, sedangkan bangunan dengan ketinggian 1 hingga 4 lantai berada di Kecamatan Pasar Manna.. Berdasarkan nilai-nilai parameter tersebut, dapat disimpulkan bahwa lokasi penelitian masuk ke dalam kategori zona rendah terhadap getaran gempa bumi. Hasil penelitian ini dapat digunakan dalam perencanaan mitigasi bencana, khususnya dalam upaya peningkatan ketahanan bangunan di wilayah yang diteliti.
Pemodelan Struktur Bawah Permukaan Berdasarkan Data Mikrotremor di Kecamatan Kampung Melayu, Kota Bengkulu Hutasoit, Tegar Ashary; Refrizon, Refrizon; Suhendra, Suhendra
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.36-44.2025

Abstract

Kampung Melayu District in Bengkulu City is experiencing rapid infrastructure development, necessitating early disaster mitigation efforts. This study aims to model subsurface structures using microtremor data to support earthquake disaster mitigation. Microtremor data were analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method to produce HVSR curves, which were then inverted to determine stratigraphy based on shear wave velocity (Vs30). The results show that the amplification factor (A0) ranges from 1 to 14.49 H/V, indicating varying soil response to seismic waves. The natural frequency (f0) values range from 0.6 to 8.7 Hz, reflecting differences in soil layer thickness and stiffness. The Vs30 values fall within 189–883.9 m/s, representing variations from soft soil to hard rock layers. These parameters were utilized to create spatial distribution maps, illustrating the area’s subsurface characteristics. Based on the seismic parameter distribution, Kampung Melayu District is classified as a medium-risk earthquake zone. This information is expected to support better decision-making in urban planning, infrastructure development, and disaster mitigation strategies in the future.
Training of Computer-Based Qomariah Month Initial Determination (a Case Study of Determination the Months of Ramadhan, Syawwal, and Dzulhijjah) in Nurul Ikhlas Mosque, Bengkulu City, Bengkulu Province, Indonesia Hadi, Arif Ismul; Refrizon, Refrizon; Harlianto, Budi; Ikhlas Fadli, Darmawan; Awaliyah, Isfardian Agustin; Kamila, Nur Husniatin
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i2.3297

Abstract

The determination of the initial of the Qomariah month is still a difference, especially in determining the initial of Ramadhan, Syawwal, and Dzulhijjah. This can happen because there are differences in the method of determination. The method is in the form of Hisab method and Rukyat method. The purpose of community service activities is to determine the initial of the month of Qomariah based on MABIMS criteria (agreement of the Minister of Religion of Brunei Darussalam, Indonesia, Malaysia, and Singapore on 27-29 June 2012 in Bali) and determine the initial of the month using computer software in the form of Accurate Hijri Calculator (AHC) ver. 2.2.1. The method used in this activity is lecture, practice, and discussion. Based on AHC software application ver. 2.2.1 shows that according to calculation 1 Ramadhan falls on Saturday April 2, 2022, but according to MABIMS criteria it falls on Sunday April 3, 2022. This is a possible difference in the start time of fasting in 2022 in Indonesia. However, for 1 Syawwal, both the calculation and the MABIMS criteria fall on the same day, Monday May 2, 2022, both in Indonesia and in other countries.
Spatial Distribution Analysis of Geotechnical Properties (Elastic Modulus, Cohesion, and Internal Friction Angle) in Soil Layers of Bengkulu City Hanipa, Rerisa Al; Kamal, Thomas Mustafa; Fikri, Muhammad Haikal; Mase, Lindung Zalbuin; Misliniyati, Rena; Supriani, Fepy; Refrizon, Refrizon
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 21 No. 1 (2025): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v21i1.78611

Abstract

This study investigates the spatial distribution of key geotechnical parameters—namely modulus of elasticity, cohesion, and internal friction angle—in the dominant soil types of Bengkulu City, Indonesia. Given the region’s complex geological structure and vulnerability to seismic activity, accurate assessment of soil characteristics is essential to support infrastructure development and mitigate geotechnical risks. Bengkulu lies between two active tectonic faults, making soil behavior analysis a crucial component of earthquake-resistant design. A total of 215 geotechnical data points were compiled from previous field investigations, covering a wide range of lithologies, including sandy soils, clay deposits, and various rock layers. The geotechnical parameters were spatially interpolated using the Inverse Distance Weighting (IDW) method to generate distribution maps that visualize the variation across different soil layers. This method was selected for its simplicity, effectiveness, and ability to provide weighted estimates based on spatial proximity. The analysis reveals that soils in the southern coastal region generally exhibit lower values of modulus of elasticity and cohesion, indicating a higher potential for deformation and shear failure. In contrast, central and northern areas tend to show higher geotechnical strength parameters, suggesting relatively stable ground conditions. The internal friction angle also increases with depth and material density, with hard rock zones showing the highest values. These findings contribute to the understanding of soil behavior in Bengkulu City and offer valuable insights for geotechnical engineers, urban planners, and disaster mitigation authorities. The spatial analysis of soil strength parameters provides a foundation for more resilient infrastructure planning and can be used as a reference for similar studies in other high-risk seismic regions.
Geothermal Lithology Identification in Air Putih, Lebong, Bengkulu Using Magnetotelluric (MT) Method Sholeha, Della Zakia; Farid, Muchammad; Refrizon, Refrizon
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.v11i1.8417

Abstract

Lebong is one of the areas located in Bengkulu Province and is passed by the Ketaun Segment fault. The fault causes several locations in Lebong to have manifestations such as hot springs, solfatara, and fumarole. This research aims to identify rock lithology with 2D modeling using the magnetotelluric method.  The data acquisition process was carried out using a magnetotelluric device with a low frequency of 128 Hz, a medium frequency of 1024 Hz, and a high frequency of 4096 Hz. The sensor in the recording consists of two sensors, namely electric and magnetic. Based on the field survey, the results obtained are several distributions of resistivity values from low, medium, and high. The acquired data was processed using ZONDMT software to obtain 2D modeling. The results of data processing interpret the resistivity value to depth. There are 8 measuring points in one track with a west-southeast direction. Variations in measured resistivity consist of low, medium, and high resistivity.  The distribution of low resistivity values (10-25 Ωm) in this area is identified as the response of the caprock, having a depth of <1.5 km, shown in light blue. The distribution of medium resistivity values (40-150 Ωm) shown in green to yellow is identified as a reservoir zone with a depth of >1.8 km. Rocks with high resistivity values (>300 Ωm) shown in red are identified as hot rock zones. Hot rocks are at a depth of 4-6 km. The range of frequency values on the 2D modeling color scale ranges from 1-800 Ωm. The results of this study can be used as a basis for feasibility studies for local governments to develop geothermal energy projects. By knowing the subsurface characteristics, the potential for geothermal energy reserves in Lebong can be evaluated more accurately.
Geospatial Modeling of Soil Plasticity Index and Water Content Distribution in Coastal Bengkulu: A Basis for Resilient Infrastructure Planning Putri, Melly Zuhadjar; Mase, Lindung Zalbuin; Amri, Khairul; Misliniyati, Rena; Hardiansyah, Hardiansyah; Refrizon, Refrizon
Journal Innovation of Civil Engineering (JICE) Vol 6 No 1 (2025)
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jice.v6i1.23561

Abstract

Bengkulu Province, located along the western coast of Sumatra, is one of Indonesia’s most seismically vulnerable regions due to its proximity to major tectonic boundaries. This study aims to enhance earthquake-resilient infrastructure planning by developing a two-dimensional geospatial model of key geotechnical parameters—Plasticity Index (PI) and water content (ѡ) —in the coastal zone. A total of 65 geotechnical observation points served to generate detailed maps by using the Inverse Distance Weighting (IDW) method down to 30 meters depth. The model integrates empirical correlations with statistical and spatial analyses to overcome the challenges of limited data. Results highlight distinct geotechnical variations across different soil layers and administrative regions, revealing zones with high liquefaction potential. The findings provide insight for engineers, urban planners, and disaster risk authorities in designing site-specific construction strategies. This research fills a critical gap in the current literature regarding Inverse Distance Weighting (IDW)-based geospatial modelling in seismically active areas. It offers a replicable framework for other coastal regions with similar geological contexts. Keywords: Plasticity Index; Water Content; Geospatial modeling; Inverse Distance Weighting (IDW)
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