Tirsya Aygina Jaenet Mooduto, Fadhil Abdillah Ahmad, Mohamad Ashar Fitrayadi Ramdan S. Kodung, Ni Luh Ananda Pusvita Sari, Taufik Hidayansya, A. P. Permana
{"title":"Tsunami Modeling Study in Geological Disaster Mitigation in the Kwandang Region","authors":"Tirsya Aygina Jaenet Mooduto, Fadhil Abdillah Ahmad, Mohamad Ashar Fitrayadi Ramdan S. Kodung, Ni Luh Ananda Pusvita Sari, Taufik Hidayansya, A. P. Permana","doi":"10.37905/jgeosrev.v6i1.22561","DOIUrl":"https://doi.org/10.37905/jgeosrev.v6i1.22561","url":null,"abstract":"The northern coast of the northern arm of Sulawesi is the meeting place of 3 plates that collided with each other during the Neogene period. This condition makes the northern part of Gorontalo, especially Kwandang sub-district, very prone to earthquakes with magnitudes above 6 on the Richter scale (SR), which is one of the triggers for tsunamis. In the period from 1990 - 2008, there were 4 major earthquakes recorded in Gorontalo, namely 1990 (7.3 SR), 1991 (7.1 SR), 1997 (7.0 SR) and 2008 (7.7 SR). Therefore, further research is needed on the return period of the earthquake and the tsunami model that occurs and the sign of tsunami occurrence in the past. This research aims to determine the return period of the earthquake that caused the tsunami and the tsunami model as well as the sedimentology analysis of paleotsunami deposits. The calculation of the earthquake return period uses the Guttenberg-Richter method. Modeling calculations were carried out using the COMCOT numerical model. This model performs calculations by solving shallow water equations in the form of both linear and non-linear equations. Paleotsunami deposits were analyzed using the sedimentology method. The results of the calculation at a magnitude of 6.0 SR show that within 100 years, the study area has a chance of a potentially destructive earthquake of 1.14024978. The results of modeling the tsunami-prone zone, obtained an area of 165.598389 ha. And obtained paleotsunami deposits containing foraminifera with a sediment thickness of 14 cm.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"29 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140481668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Landslide Disaster Hazard Analysis On Built-Up Areas In Banyubiru Sub-District Semarang Regency Using Geographic Information System","authors":"Alifa Salsabilla Putri, M. Awaluddin, B. Sasmito","doi":"10.37905/jgeosrev.v6i1.22476","DOIUrl":"https://doi.org/10.37905/jgeosrev.v6i1.22476","url":null,"abstract":"Banyubiru Sub-District is the sub-district that experienced the most landslides in Semarang Regency. The condition of steep slopes in several areas in this sub-district is quite dangerous to be used as a residential, industrial and commercial area because of the high probability of disasters, especially landslides. This research focuses on identifying landslide hazard areas, especially on built-up areas in Banyubiru Sub-District, Semarang Regency. The production of landslide hazard map refers to Peraturan Menteri Pekerjaan Umum Nomor 22/PRT/M/2007. The method used to identify landslide hazard areas is scoring and weighting using several parameters, namely slope, land cover, rock type, rainfall and soil type. Based on the processing, it can be known that mapping using the average monthly rainfall parameter for three months is more accurate than using annual rainfall. Landslide hazard on built-up areas in Banyubiru Sub-district is divided into three levels with the dominance of medium landslide hazard level covering 69% or approximately 275.70 Ha. The validation results show that out of 55 landslide events in Banyubiru Sub-district, 17 events occurred on built-up areas with medium to high hazard levels.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"124 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Illa Annisa, Supriatna Supriatna, I. P. A. Shidiq, Tito Latif Indra, Enrico Gracia
{"title":"Spatial Study of Eel Larva Habitat in Ciletuh Bay Waters, Sukabumi Regency, West Java","authors":"Illa Annisa, Supriatna Supriatna, I. P. A. Shidiq, Tito Latif Indra, Enrico Gracia","doi":"10.37905/jgeosrev.v6i1.21796","DOIUrl":"https://doi.org/10.37905/jgeosrev.v6i1.21796","url":null,"abstract":"Eels (Anguilla spp.) are highly nutritious fish that are widely consumed. Ciletuh Bay, situated opposite the Indian Ocean, is a natural habitat for eel larvae. The migration of eel larvae is influenced by various oceanographic factors, including salinity, sea surface temperature, and chlorophyll-a. In order to support fisheries activities in Sukabumi Regency, it is important to identify the optimal habitat for eel larvae and obtain information about their abundance. This study used remote sensing techniques and two algorithms, the Cilamaya Algorithm to estimate salinity and the Wibowo Algorithm to estimate chlorophyll-a. The study was conducted during the wet, dry, and transitional months of 2019 and 2020 in Ciletuh Bay. The potential areas for eel larvae were found to be concentrated at the mouth of the river during the wet month, at the estuary and the shore during the dry month and the first transitional month, and tended to spread during the second transitional month. The largest potential area was found during the dry month of 2019, covering an area of 3.44 km2, but the potential was more stable during the wet months.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"60 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Influence of Hydrogeological Conditions on Salt Quality Standards In Ambal District, Kebumen Regency, Central Java","authors":"Daniel Radityo, Septyo Uji Pratomo","doi":"10.37905/jgeosrev.v6i1.22943","DOIUrl":"https://doi.org/10.37905/jgeosrev.v6i1.22943","url":null,"abstract":"Salt (NaCl), also known as halite, has a vital role as an essential ingredient in human life and industry. Kebumen Regency in Central Java, especially along the south coast in Ambal District, is one of the area in Indonesia that produces salt, originating from elongated dome-shaped salt ponds, which are the primary source of salt production in the region. Salt quality standards are regulated by SNI 3556:2016, which provides limits for metal contamination such as cadmium (Cd) 0.5 mg/kg, lead (Pb) 10 mg/kg, mercury (Hg) 0.1 mg/kg, and arsenic (As) 0.1 mg/kg. The conditions of seawater and groundwater used in the salt production process have a significant impact on the quality of the salt produced, which can be determined from hydrogeological studies. The results of measuring residents' wells at 43 points show that the depth of the groundwater level ranges from 4.4 to 14.75 meter below sea level. The results of salt analysis from 2 different salt ponds showed Cd levels ranging between 0.0949—0.1001 mg/kg, Pb between 0.5163—0,755 mg/kg, Hg between 0.01198—0.06203 mg/kg, and negative As levels; with water content ranging from 14.43-14.92% w/w and NaCl content between 72.3-85.8%. The analysis of well water and seawater from 3 samples showed Cd 0.0009 mg/kg, Pb 0.0011-0.0098 mg/kg, Hg 0.0001 mg/kg, and As 0.001 mg/kg. The results of groundwater level mapping show that hydrogeological conditions influence the quality standards for salt on the southern coast of Kebumen, especially by the significant grain size factor that carries groundwater and the elements dissolved in it. Meanwhile, salt produced from 2 salt ponds in Ambal District did not meets quality standards based on SNI 3556:2016.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"67 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140481610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Delineation of Nickel Laterite Deposits in “DCV” Block Southeast Sulawesi Based on Data Analysis of Ground Penetrating Radar (GPR) Method","authors":"Y. Yatini, Chrismast Getsimany","doi":"10.37905/jgeosrev.v6i1.21119","DOIUrl":"https://doi.org/10.37905/jgeosrev.v6i1.21119","url":null,"abstract":"The need for nickel is very intensive in the development of upstream to downstream industries so that domestic consumption of nickel ore will increase in the coming years, therefore domestic downstream is increasingly being improved. Overcoming the problem of the high demand for nickel in Indonesia can be done by conducting exploration and exploitation to support the downstream of nickel. Exploration of nickel laterite can be accomplished with geophysical methods that aim to obtain subsurface data from nickel laterite deposits. The Ground Penetrating Radar (GPR) geophysical method is one of the non-destructive methods that can be applied to determine the subsurface conditions of nickel laterite deposits based on physical properties in the form of dielectric constants and reflection patterns and amplitude contrasts produced on radargrams. The nickel laterite deposits can be separated into 4 layers based on Ground Penetrating Radar (GPR) data analysis: bedrock, saprolite, limonite, and topsoil. Based on GPR measurements, the average dielectric constant value of topsoil is 6.8 mS/m, the limonite layer is 10.87 mS/m, the saprolite layer is 12.37 mS/m, and bedrock is 7.87 mS/m. It can be seen that the saprolite layer has a high conductivity so that the dielectric constant value is also high, this is influenced by the very high nickel content in this layer. The depth of bedrock in the research area varies from 20 - 40 meters, the thickness of topsoil is dominated in the value range of 3.6 - 5 meters, while the thickness of the laterite layer which is the main target of nickel laterite mining includes saprolite and limonite layers which have varying values of 15 - 40 meters where the distribution of the thickness of this layer is in the eastern and central parts of the research area.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"227 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hana Raihana, Jesika Erni Elfrita Sinaga, Adinda Gusti Cahyani, Halauddin Halauddin, Suhendra Suhendra, Anggiat Hutauruk, N. Sugianto
{"title":"Identification of Alteration Zones Based on Resistivity and Induced Polarization Geoelectric Survey","authors":"Hana Raihana, Jesika Erni Elfrita Sinaga, Adinda Gusti Cahyani, Halauddin Halauddin, Suhendra Suhendra, Anggiat Hutauruk, N. Sugianto","doi":"10.34312/jgeosrev.v5i2.17931","DOIUrl":"https://doi.org/10.34312/jgeosrev.v5i2.17931","url":null,"abstract":"Air Putih, Lebong Regency's geothermal field, is near gold mining. The relationship between the two can be illustrated in the type of rock alteration. The study aims to identify the rock alteration zone caused by the Air Putih, Lebong Regency geothermal system. It was described by the correlation of rocks' resistivity and chargebility values based on geoelectric measurement. Two tracks spread along the Air Putih tour, with a track length of 240 meters, were used to see variations in resistivity and chargeability values and the depth of geothermal potential due to deeper current penetration to determine the alteration zone in the study area. The results of field measurements are in the form of 2D models processed with Res2DinvX64 software. According to analysis, the subsurface rock lithology in the research area is relatively the same because the location of the two measurement lines is still close together; namely, there are wet valley rocks and alterated rock layers. Pores cause rock layers found in conductive areas in the rock filled with fluid or water at high temperatures. It is evidenced by the detection of manifestations on the surface in the form of warm soil, warm rocks, steamy soil, and small holes containing water grains. The higher the temperature and pressure, the lower the value of rock-specific resistance. At the Air Putih tourist area of Lebong Regency, it is found that it is a zone of prophylitic alteration containing several minerals of andesite lava, breccia, tuff, and soil.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48139524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning XGBoost Method for Detecting Mangrove Cover Using Unmanned Aerial Vehicle Imagery","authors":"Minati Minati, I. Yanuarsyah, S. Hudjimartsu","doi":"10.34312/jgeosrev.v5i2.20782","DOIUrl":"https://doi.org/10.34312/jgeosrev.v5i2.20782","url":null,"abstract":"The mangrove ecosystem can be understood as a unique and different type of ecosystem that can benefit the surrounding ecosystem from the socio-economic and ecological perspective. The purpose of this study is to classify mangrove cover in Tanjung Lapin Beach, about 18.3 hectares, North Rupat District Bengkalis Regency, Riau Province, by applying machine learning XGBoost methods of UAV images by producing interpretations of mangrove cover in the research area. The use of machine learning with a high level of accuracy resulting from the XGBoost method is expected to help the availability of spatial data in identifying better mangrove forest cover. The data obtained from the orthomosaic results from the 3,500 tiles image is used as a reference for making sample points for the analysis process using the XGBoost method, with 224 sample points of mangrove objects visually recognized as training data. Regarding training data, the XGBoost method's iteration result obtained 99% overall accuracy and Kappa accuracy of about 0.98. It means the analysis process continues to the mangrove object cover detection stage. Based on the detection results, it was obtained about 11.9 hectares of mangrove forest cover (64% of the total study area). It has 68 sample points as test data used as an accuracy test tool from the detection results of mangrove objects, where an overall accuracy of 87% and kappa accuracy of 0.82 were obtained. This shows the successful use of the XGBoost method in identifying the mangrove's cover.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45255359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of Hydrochemical Facies on Groundwater Quality in Daenaa Village and its Surroundings, West Limboto District","authors":"Dela Pusfika Sari Napu, F. Lihawa, Ahmad Zainuri","doi":"10.34312/jgeosrev.v5i2.14866","DOIUrl":"https://doi.org/10.34312/jgeosrev.v5i2.14866","url":null,"abstract":"The study is required to evaluate the groundwater condition, such as finding the relationship with the lithology, determining the facies of groundwater, and providing an overview of the present groundwater conditions, genetics, and groundwater quality. This study aims to explain the relationship between lithology and groundwater chemistry, groundwater quality, and the determination of the chemical facies of groundwater to determine the genetic type of groundwater. This study uses field survey methods and random sampling techniques, measurements of groundwater physical properties, trilinear piper diagrams, and laboratory analysis in the form of rock geochemical analysis (XRF) at the PSDMBP Laboratory and chemical analysis of groundwater at the PT Global Quality Analytical Laboratory. The results show that the lithology in the study area consists of clastic limestone, sandstone, breccia, and dacite. Lithology in the study area primarily plays an essential role in chemical ion enrichment in groundwater. Determination of groundwater quality is based on Permenkes, Permen ESDM, and ISDW, which obtained eleven well points in the good quality category, five well points in the poor quality category, and four other well points categorized as poor quality. Based on the analysis results in the trilinear piper diagram, there is one type of groundwater chemical facies (not varied), namely the Ca-Cl type facies. The presence of the Ca-Cl facies type is interpreted as a seawater intrusion phase.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41717182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Palynomorph Biozonation of the Malawa Formation, Barru Region, South Sulawesi","authors":"Zulfiah Zulfiah, N. Supardi","doi":"10.34312/jgeosrev.v5i2.18792","DOIUrl":"https://doi.org/10.34312/jgeosrev.v5i2.18792","url":null,"abstract":"This study's subject is the Padanglampe traverse in Tanete Riaja, Barru Regency, at coordinates 040 30' 25.26\" South Latitude and 1190 41' 43.43\" East Longitude. Padanglampe sedimentary deposits of The Malawa Formation were the subject of this study. This study aims to establish the Malawa formation's age based on the presence of palynomorph fossils. Vertical measurement with a track thickness of approximately 10.5 meters was used for field investigation. The sediment's grain size helps to separate the two sections of the Padanglampe traverse. The top layer comprises coal layers and moderately fine- to medium-grained sediments. Coarse-grained sandstone makes up the lowest layer. At any spacing of 25 cm from the measurement of the stratigraphic cross-section, rock sampling was methodically done, yielding 45 lithology samples. A polarizing microscope with a 40x magnification was used to prepare and examine the material. Only 36 samples were used in the subsequent analysis, with nine barren samples. The palynomorph composition of each sample was determined quantitatively and displayed in a palynological diagram using the CONISS technique to measure the data based on life types. Based on the outcomes of observations, 64 pollen taxa and 17 spore taxa were identified. The Moraceae, Palmaepollenites, Spinizonocolpites echinatus, Pandanidites, Proxapertites operculatus, Laevigatosporites, Acrostichum, and Anthocerisporites are those with the greatest abundance. It is split into six informal palynomorph assemblage zones, labeled as zone I - zone IV using cluster analysis. Based on the palynomorph data, the age of the Malawa Formation is Middle Eocene – Upper Eocene.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43567129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lia Novianti Ni’amah, N. Bashit, LM Sabri, A. Sukmono, Farouki Dinda Rassarandi
{"title":"Monitoring Total Suspended Solid Concentration and Shoreline Dynamics Using Sentinel-2 Imagery in 2015-2021","authors":"Lia Novianti Ni’amah, N. Bashit, LM Sabri, A. Sukmono, Farouki Dinda Rassarandi","doi":"10.34312/jgeosrev.v5i2.19613","DOIUrl":"https://doi.org/10.34312/jgeosrev.v5i2.19613","url":null,"abstract":"Human activities in the Juwana Estuary impact increasing sedimentation, including industry, fish processing, ponds, and settlements. Increased sedimentation every year can lead to the formation of new land. In the long term, sedimentation will impact shoreline changes due to the formation of new land. This study aims to determine changes in Total Suspended Solid (TSS) concentration and shoreline values in the Juwana River Estuary. Increased sedimentation can be indicated based on water turbidity and TSS values—an effective method for observing TSS and coastline using remote sensing. The data for this study uses Sentinel-2 imagery. The TSS processing algorithm uses Laili, Liu, and C2RCC. TSS results using the C2RCC algorithm show the best regression results between image TSS and in situ TSS with an R2 of 0.721 compared to other algorithms. In 2015-2018 the average TSS value decreased by 2.303 mg/l. Processing results show the largest TSS reduction value of 12.466 mg/l on the Juwana Coast. The TSS value in 2018-2021 shows an average decrease of 4.447 mg/l; the largest decrease, with a value of 19.3 mg/l, is in the Batangan Coast. The coastline is extracted from image data using the Normalized Difference Water Index (NDWI) algorithm. In 2015-2018 changes in the coastline were dominated by abrasion, covering an area of 35.2348 ha with a maximum distance of 143.78 m. In 2018-2021 changes in the coastline were dominated by abrasion, covering an area of 10.28224 ha with a maximum distance of 53.23 m. It can be interpreted that a decrease in TSS indicates a decrease in sedimentation, causing increased abrasion around the coastline.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45152799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}