Jambura Geoscience Review
https://ejurnal.ung.ac.id/index.php/jgeosrev
JGEOSREV: Jambura Geoscience ReviewUniversitas Negeri Gorontaloen-USJambura Geoscience Review2623-0682<p>The author who publishes in Jambura Geoscience Review (JGEOSREV) agrees to the following terms:</p><ol><li>The journal allows the authors to hold the copyright without restrictions and allow the authors to retain publishing rights without restrictions. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <span> </span><a href="https://creativecommons.org/licenses/by/4.0/" rel="license">Creative Commons Attribution 4.0 International License</a>.</li><li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.</li><li>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_blank">Effect of Open Access</a>).</li></ol><p><a title="CC-BY" href="https://creativecommons.org/licenses/by/4.0/" target="_blank"><img src="/public/site/images/geosrev/88x31.png" alt="" /></a><br /><strong>Jambura Geoscience Review</strong> (P-ISSN: 2623-0682, E-ISSN: 2656-0380) is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">Creative Commons Attribution 4.0 International License</a>. </p>Delineation of Nickel Laterite Deposits in “DCV” Block Southeast Sulawesi Based on Data Analysis of Ground Penetrating Radar (GPR) Method
https://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/21119
<div align="center"><table width="605" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="378"><p>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.</p></td></tr></tbody></table></div>Y YatiniChrismast Getsimany
Copyright (c) 2024 Y Yatini, Chrismast Getsimany
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2024-01-302024-01-30611910.37905/jgeosrev.v6i1.21119Spatial Study of Eel Larva Habitat in Ciletuh Bay Waters, Sukabumi Regency, West Java
https://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/21796
Eels (<em>Anguilla spp.</em>) 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.Illa AnnisaSupriatna SupriatnaIqbal Putut Ash ShidiqTito Latif IndraEnrico Gracia
Copyright (c) 2024 Illa Annisa, Supriatna Supriatna, Iqbal Putut Ash Shidiq, Tito Latif Indra, Enrico Gracia
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2024-01-302024-01-3061101810.37905/jgeosrev.v6i1.21796Landslide Disaster Hazard Analysis On Built-Up Areas In Banyubiru Sub-District Semarang Regency Using Geographic Information System
https://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/22476
<p>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.</p>Alifa Salsabilla PutriMoehammad AwaluddinBandi Sasmito
Copyright (c) 2024 Alifa Salsabilla Putri, Moehammad Awaluddin, Bandi Sasmito
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2024-01-302024-01-3061192810.37905/jgeosrev.v6i1.22476Tsunami Modeling Study in Geological Disaster Mitigation in the Kwandang Region
https://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/22561
<p>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.</p>Tirsya Aygina Jaenet MoodutoFadhil Abdillah AhmadMohamad Ashar Fitrayadi Ramdan S. KodungNi Luh Ananda Pusvita SariTaufik HidayansyaAang Panji Permana
Copyright (c) 2024 Aang Panji Permana
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2024-01-302024-01-3061293610.37905/jgeosrev.v6i1.22561The Influence of Hydrogeological Conditions on Salt Quality Standards In Ambal District, Kebumen Regency, Central Java
https://ejurnal.ung.ac.id/index.php/jgeosrev/article/view/22943
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.Daniel RadityoSeptyo Uji Pratomo
Copyright (c) 2024 Daniel Radityo, Septyo Uji Pratomo
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2024-01-302024-01-3061374610.37905/jgeosrev.v6i1.22943