cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sri Maryati
Contact Email
sri.maryati@ung.ac.id
Phone
+6282292284121
Journal Mail Official
geosrev@ung.ac.id
Editorial Address
Jenderal Sudirman Street No.6, Kota Gorontalo, Provinsi Gorontalo 96128, Indonesia
Location
Kota gorontalo,
Gorontalo
INDONESIA
Jambura Geoscience Review
Published by Universitas Negeri Gorontalo
ISSN : 26230682     EISSN : 26560380     DOI : https://doi.org/10.34312/jgeosrev
Core Subject : Science,
Earth & Planetary Sciences
Jambura Geoscience Review (JGEOSREV, P-ISSN: 2623-0682, E-ISSN: 2656-0380) is an open-access journal, which publishes original papers about all aspects of the Earth and Geosciences. This comprises the solid earth, the atmosphere, the hydrosphere, and the biosphere. In addition, it provides a particular place, and an advanced forum, for contributions on natural hazards, geoscience-related environmental problems.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 97 Documents
 5   6   7   8   9 
Tsunami Modeling Study in Geological Disaster Mitigation in the Kwandang Region Mooduto, Tirsya Aygina Jaenet; Ahmad, Fadhil Abdillah; Kodung, Mohamad Ashar Fitrayadi Ramdan S.; Sari, Ni Luh Ananda Pusvita; Hidayansya, Taufik; Permana, Aang Panji
Jambura Geoscience Review Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i1.22561

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.
Strategic Model for Mangrove Forest Resource Management in Boalemo District, Gorontalo Province Melo, Ramla Hartini; Niode, Alim S.; Pambudi, Moch. Rio; Laya, Nibras K.; Pratama, M. Iqbal Liayong; Masruroh, Masruroh; Ninasafitri, Ninasafitri
Jambura Geoscience Review Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i2.24736

Abstract

Mangrove forest destruction in Boalemo Regency has increased significantly over the past decade. The condition of mangrove forests has been degraded due to the pressure of population growth, especially in coastal areas.  Damage to mangrove forest resources is certainly very dangerous to the ecosystem of fisheries resources, biodiversity and destroys the stability of coastal forests that support the protection of inland and rural agricultural crops. The purpose of this research is to design a model of sustainable mangrove forest resource management strategy in Boalemo District, Gorontalo Province, so that it can be applied as a policy in improving and optimizing mangrove forest resource management efforts in Gorontalo Province. The method used is Interpretive Structural Modeling (ISM). The results showed that there are thirteen sub-elements of program requirements needed to build the model, of the thirteen elements of program requirements there are no sub-elements that occupy quadrant I, in quadrant II there are two sub-elements and in quadrant III there are six sub-elements, in quadrant IV is occupied by five sub-elements which are key elements to build a mangrove forest resource management strategy model.
The Influence of Hydrogeological Conditions on Salt Quality Standards In Ambal District, Kebumen Regency, Central Java Radityo, Daniel; Pratomo, Septyo Uji
Jambura Geoscience Review Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i1.22943

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.
Impacts of Land Use on Runoff and Sediment Dynamics in Tropical Watersheds: A Case Study in Bogowonto Upper Watershed Christanto, Nugroho; Setiawan, Muhammad Anggri; Kholis, Afid Nur; Sharma, Rahit; Shrestha, Dhruba Pika
Jambura Geoscience Review Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i2.26055

Abstract

Land use changes in tropical regions have increased, leading to rising environmental stress in Java, Indonesia. Food shortages have driven land conversion and expansion, which increases peak flows during the rainy season and reduces water storage in the dry season, heightening flood risks. Research on integrated catchment hydrology is crucial. This study examines the relationship between land use, runoff, and sediment in the Bogowonto Upper Watershed using SWAT hydrological modeling. The SWAT model helps understand hydrological processes at the watershed scale and the impact of land use changes on runoff and sediment dynamics. The sensitivity of SWAT model parameters varies in the Bogowonto Upper Watershed. Runoff sensitivity analysis indicates a +62% increase with a 50% change in CN value, showing high sensitivity. A 50% change in vegetation cover results in a +50% model output, indicating moderate sensitivity. Slope, Ksat (saturated hydraulic conductivity), and bulk density are fairly sensitive, while AWC is slightly sensitive. For sediment, a 50% increase in CN value results in a +47% change, and a 50% increase in vegetation cover leads to a +58% model output, showing moderate sensitivity. The model, run from 2014-2019, shows excellent accuracy with NSE of 0.82, RRMSE of 0.43, R² of 0.83, and PBIAS of 9.8%.
Clay Mineral Identification for the Utilization of the Brick Industry in Samarinda using X-Ray Diffraction (XRD) Analysis Raharjanti, Ni'matul Azizah; Ismunandar, Wisnu; Sutan, Syamsidar; Andhika, Muhammad Wira; Priatama, Muhammad Haykal Bayu
Jambura Geoscience Review Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i2.21524

Abstract

The clay minerals occurrences can be utilized into various products, including bricks. Brick industry often used the materials taken from the local area. The objective of the research is to identify the lithology of the brick material as well as the mineral consist in the soil or material, including clay mineral. The analysis is carried out in field observation and X-Ray Diffraction (XRD) analysis. The analysis resulting the lithology of the research area is predominantly sandstone and the bricks material is taken from the clayey soil part of from the quartz sandstone lithology. The quartz sandstone predominantly composed by quartz (97%) and plagioclase as minor mineral (3%). The analysis of the clay soil sample in quartz sandstone layer which used as the main component of the brick showing that the minerals composition are mainly quartz (95%) and plagioclase as minor mineral (3%), while the clay mineral that detected is kaolinite (2%). The formation of the kaolinite is interpreted as the result of the weathering of plagioclase trough hydrolysis process. From those data, it is identified that the brick in the research area mainly composed by quartz and clay mineral as kaolinite is formed in just minor abundance.
Delineation of Nickel Laterite Deposits in "DCV" Block Southeast Sulawesi Based on Data Analysis of Ground Penetrating Radar (GPR) Method Yatini, Y; Getsimany, Chrismast
Jambura Geoscience Review Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i1.21119

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.
Geology Structural Analysis of the Tanjung Betung II Region, Bengkulu: Recognized through Geological Mapping and Lineament Analysis Sari, Devi Puspita; Sutriyono, Edy
Jambura Geoscience Review Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i2.23721

Abstract

The research area is located in the Tanjung Betung II area, North Kaur, Bengkulu. This research was conducted to determine the geological structure and its relationship with the graben system in the Bengkulu basin by identifying and measuring structural components recorded in rock units. In interpreting deformation mechanisms, this research utilizes surface data obtained from geological structure mapping and lineament analysis based on Digital Elevation Model (DEM) images. Field observations on outcrops have identified five types of structures that have a general northwest-southeast trend, hereinafter referred to as the Manau IX fault, Bunian fault, Tanjung Kurung fault, Aek Kule syncline and Padang Manis fault. This structure may be associated with a graben system that formed in the late phase of basin evolution in the Neogene. Importantly, the structures recorded in the outcrop sequence may be the result of tectonic deformation that occurred during the Late Neogene, coinciding with the start of the Barisan orogeny.
Spatial Study of Eel Larva Habitat in Ciletuh Bay Waters, Sukabumi Regency, West Java Annisa, Illa; Supriatna, Supriatna; Shidiq, Iqbal Putut Ash; Indra, Tito Latif; Gracia, Enrico
Jambura Geoscience Review Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i1.21796

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.
Spatial Analysis Model For Landslide Detection Using Relative Different NDVI (rdNDVI) Method Thought The Google Earth Engine Platform (Case Study: Sukajaya District, Bogor Regency) Nazar, Muarief Ahlun; Hermawan, Erwin; Yanuarsyah, Iksal
Jambura Geoscience Review Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i2.23962

Abstract

This research utilizes the Google Earth Engine platform to detect landslides with relatively different NDVI (rdNDVI) methods. The purpose of the research is to improve our understanding of landslide analysis and detection, particularly those that occurred in Sukajaya district, Bogor Regency, Indonesia, on January 1, 2020. This research identifies vegetation changes associated with landslide likelihood using Sentinel-2A satellite image data available on Google Earth Engine. The results show that the rdNDVI method is effective in detecting landslides and can be used to determine areas that may be affected by landslides. This research also evaluates the accuracy of landslide detection by determining the threshold value to determine which areas are affected by landslides, by applying different slope values, the slopes used are slope 10, 15, 20, and 25. Comparing each slope results in a slope of 10 percent and a slope of 15 percent with 90% accuracy making the best accuracy compared to other slopes. The results of this research are expected to help the Regional Disaster Management Agency (BPBD) of Bogor Regency in managing landslides by conducting a careful and accurate analysis of areas that may be affected by landslides.
Analysis Slope Stability Using RMR and SMR Method in Nupaomba Area Tanantovea Donggala Uno, Djamal Adi Nugroho; Uno, Irianto; Saputra, Apriadi; Arum, Deno Ambar; Mumin, Riqa Permatasyara; Alfaed, Moh Rizky Fadel
Jambura Geoscience Review Vol 7, No 1 (2025): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v7i1.30388

Abstract

Landslide disasters frequently occur in the Nupabomba area due to its steep slopes and its role as a primary access road for the local community. This study aims to analyze slope stability using the Rock Mass Rating (RMR) and Slope Mass Rating (SMR) methods to assess the potential for landslides. The research was conducted at coordinates (Universal Transverse Mercator) UTM 829117.90 – 831853.89 mE and 9920980.82 – 9920308.34 mS. Data collection involved field measurements using the scanline method, focusing on discontinuities, lithology, and rock strength. The results indicate that at Station 01, the slope consists of slate rock with an RQD value of 70% and UCS of 23 MPa. The calculated RMR value is 58, placing it into Class III (fair rock), with an SMR value of 55.4, indicating partially stable conditions. Meanwhile, at Station 02, the slope consists of phyllite rock with an RQD value of 70% and UCS of 52 MPa. The RMR value is 62, classifying it as Class II (good rock), and the SMR value is 61.6, indicating a stable condition. These findings provide crucial insights into the geotechnical characteristics of the area, which are essential for landslide risk mitigation and infrastructure planning. The study highlights the need for continuous monitoring and possible reinforcement strategies, particularly in areas categorized as partially stable. Further research incorporating geotechnical modeling and additional stability analysis is recommended to enhance slope stability predictions and inform mitigation strategies.

Page 7 of 10 | Total Record : 97

 5   6   7   8   9 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV) Vol 7, No 2 (2025): Jambura Geoscience Review (JGEOSREV) Vol 7, No 1 (2025): Jambura Geoscience Review (JGEOSREV) Vol 6, No 2 (2024): Jambura Geoscience Review (JGEOSREV) Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV) Vol 5, No 2 (2023): Jambura Geoscience Review (JGEOSREV) Vol 5, No 1 (2023): Jambura Geoscience Review (JGEOSREV) Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV) Vol 4, No 1 (2022): Jambura Geoscience Review (JGEOSREV) Vol 3, No 2 (2021): Jambura Geoscience Review (JGEOSREV) Vol 3, No 1 (2021): Jambura Geoscience Review (JGEOSREV) Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV) Vol 2, No 1 (2020): Jambura Geoscience Review (JGEOSREV) Vol 1, No 2 (2019): Jambura Geoscience Review (JGEOSREV) Vol 1, No 1 (2019): Jambura Geoscience Review (JGEOSREV) More Issue