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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 115 Documents
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Estimating Carbon Stock from Land Cover Dynamics Using Stock-Difference in Gunungpati Andika Pangestu; Ananto Aji
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.37098

Abstract

Changes in land use in peri-urban areas directly affect vegetation structure and aboveground biomass carbon stocks, particularly in landscapes experiencing rapid settlement expansion. This study aimed to identify spatial and temporal patterns of land use change, estimate aboveground biomass carbon stocks for each land use class, and quantify the rate of carbon stock change in the Gunungpati District, Semarang City, from 2014 to 2024. Multi-temporal Landsat 8 imagery from 2014, 2019, and 2024 were classified into eight land use classes using supervised classification with the maximum likelihood algorithm. Carbon stocks were estimated by multiplying the area of each land use class by its carbon stock coefficient, while temporal carbon stock changes were quantified using the stock difference method. The results showed substantial land use transformation, marked by a sharp decrease in dryland agriculture, the dominance of mixed dryland agriculture, and continuous settlement expansion. Total carbon stock increased from 137,404.12 tons C in 2014 to 268,488.02 tons C in 2019, before declining to 240,020.17 tons C in 2024. The annual carbon-stock change was 26,216.78 tons C/year during 2014–2019, −5,693.57 tons C/year during 2019–2024, and 10,261.61 tons C/year during 2014–2024. These findings indicate that the Gunungpati District retained a net carbon stock gain over the study period; however, the post-2019 decline suggests increasing ecological pressure from settlement expansion. Protecting vegetation-based land covers is therefore essential to maintain the district’s role as a green open space reserve and to support climate change mitigation.
Relative Elevation Approach for Flood Susceptibility Assessment and Residential Zoning in Pallangga, Indonesia Muh. Wahyu Apriliandi; Dwi Putro Tejo Baskoro; Wahyu Iskandar
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.37075

Abstract

Flood susceptibility assessment is essential for supporting land-use control and mitigation-oriented spatial planning in rapidly developing downstream areas. This study aimed to assess flood susceptibility in the Pallangga District, Gowa Regency, Indonesia, using a simplified GIS-based approach and evaluate its implications for residential zoning in the Regional Spatial Plan (RTRW). Four parameters were used: BU land density, distance from the river, relative elevation, and slope. BU land density was derived from Sentinel-2 L2A imagery using the spectral index rule-based classification approach, whereas relative elevation and slope were generated from DEMNAS data. Each parameter was scored and weighted based on expert judgment and then integrated using the weighted overlay method. The flood susceptibility index was classified into low-, moderate-, and high-risk classes using the natural breaks method and generalized using the minimum mapping unit approach. The results showed that moderate flood susceptibility dominated the Pallangga District, covering 2,965.0 ha (53.0 %) of the total area, followed by low susceptibility at 1,442.5 ha (25.7 %) and high susceptibility at 1,191.5 ha (21.3 %). High-risk areas were mainly concentrated in the northern part of the district, where low relative elevation, flat slopes, river proximity, and higher BU land density interact spatially. Overlay analysis with RTRW residential zoning indicated that 736.3 ha (38.5 %) of the planned residential areas were located within high-flood-susceptibility zones. These findings highlight the need to integrate flood susceptibility information into residential zoning evaluations, land-use control, and local flood mitigation planning.
Spatial Zoning of Tourism Carrying Capacity Using GIS in Darma Reservoir Ecotourism Hafiz Fauzan Fetra; Purnomo Adi Saputro
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.37026

Abstract

Tourism carrying capacity (TCC) assessment is essential for balancing tourism development and environmental sustainability, particularly in ecotourism destinations experiencing fluctuating visitor demand. This study aimed to determine the physical carrying capacity (PCC), real carrying capacity (RCC), and effective carrying capacity (ECC) of Darma Reservoir Ecotourism in Kuningan Regency, Indonesia, using a zone-based geographic information system (GIS) approach. The analysis integrated high-resolution spatial data, including data from the National Aeronautics and Space Administration Global Precipitation Measurement (GPM) on rainfall and the National Digital Elevation Model System (DEMNAS), to derive environmental correction factors for RCC calculations. PCC was calculated based on tourism area, recreational space requirements, and visitor rotation factors, whereas ECC incorporated management capacity through staff and facility adequacy assessments. The results showed that the overall land-based tourism area had a PCC of 3,123 visitors/day, which decreased to 1,955 visitors/day after environmental corrections and further declined to an ECC of 1,787 visitors/day after considering management capacity. Zone-specific ECC values were 37 visitors/day for Picnic 1, 215 visitors/day for Picnic 2, 30 visitors/day for the Camping Ground, and 883 boat trips/day for the Boat Tour zone. A comparison with actual visitation revealed that weekday and weekend visitor numbers remained below the ECC threshold, whereas peak-season visitation during Eid al-Fitr and New Year holidays substantially exceeded the carrying capacity. These findings indicate the need for adaptive tourism management, including visitor quotas and reservation systems during peak periods, alongside promotional and diversification strategies during the low season. The study demonstrates that integrating GIS-based spatial analysis with carrying-capacity assessment provides an effective framework for sustainable ecotourism management.
Magma Evolution and Petrogenesis of Volcanic Rocks at Kaba Volcano, Bengkulu Muhammad Eval Juni Wijaya; Sakilla Gia Mentari; Chris John Sitinjak; Theo Sampit Mo Rizky Bantjin
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.36656

Abstract

Mount Kaba is an active stratovolcano in the Bengkulu Province, Indonesia, characterized by explosive eruptions and multiple eruptive centers, reflecting a complex magmatic system. This study investigated the magma evolution and petrogenesis of volcanic rocks from the northern sector of Mount Kaba using integrated petrographic and whole-rock geochemical analyses. Fifteen representative lava and pyroclastic rock samples were analyzed for major elements using inductively coupled plasma–optical emission spectrometry (ICP-OES), while trace and rare earth elements (REE) were determined using inductively coupled plasma–mass spectrometry (ICP-MS). The analyzed rocks ranged from basalt to andesite, with SiO₂ contents between 44.41 and 63.41 wt%, and generally low loss-on-ignition values, indicating relatively fresh compositions. Petrographic observations revealed porphyritic, vesicular, subophytic, intersertal, zoning, sieve, and reaction rim textures, suggesting dynamic magma chamber processes and disequilibrium crystallization. Geochemical classification based on total alkali silica (TAS) and K₂O–SiO₂ diagrams indicates alkaline, calc-alkaline, and high-K calc-alkaline affinities, which can be grouped into two magma series: the Danau Mas Group and the Kaba Group. Major and trace element variation diagrams show decreasing MgO, Fe₂O₃, and CaO with increasing SiO₂, accompanied by enrichment of alkali and incompatible elements, indicating magma differentiation dominated by fractional crystallization. Primitive mantle- and chondrite-normalized patterns display enrichment of large ion lithophile elements (LILE) and light rare earth elements (LREE), together with depletion of high field strength elements (HFSE), suggesting derivation from a mantle source modified by subduction-related fluids. Overall, the results indicate that Mount Kaba magmatism evolved through mantle wedge melting, followed by crustal-level magma differentiation within a subduction-related volcanic arc system.
Tidal Flood Mapping Based on Land Use Classification Using CDAT and Deep Learning in Sayung, Demak Muchamad Syaoqi Ilham Setiawan; Arifin Septian Nugroho; Nurhadi Bashit; Hana Sugiastu Firdaus; Abdi Sukmono
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.36629

Abstract

Comprehensive spatial impact analysis integrating flood detection with land use classification has remained limited despite the occurrence of escalating tidal flooding that threatens coastal communities, aquaculture zones, and agricultural lands in the Sayung District. This study aimed to assess and map the spatial distribution of tidal flooding and analyze its impacts on land use through integrated remote sensing and artificial intelligence methodologies. The change detection and thresholding (CDAT) method utilizing Sentinel-1A imagery was employed for tidal flood detection, whereas the U-net deep learning architecture with stacked Sentinel-1A and Sentinel-2A data was implemented for multiclass land use classification. The CDAT method successfully detected 14.636 km² of inundated area, representing 12.25% of the Sayung District, with an overall accuracy of 0.886 and a kappa coefficient of 0.755. The U-net model classified 11 land use categories with an overall accuracy of 0.81 and a kappa coefficient of 0.78, demonstrating robust performance, particularly for aquaculture ponds and cultivated aquatic, with IoU values exceeding 0.88. The spatial overlay analysis revealed that aquaculture ponds constituted the most extensively affected land use category (6.09 km ², or 41.28 %) followed by cultivated aquatic (30.89 %) and water bodies (18.62 %). The integration of CDAT and U-net provides a comprehensive analytical framework for tidal flood impact analysis, thereby generating essential spatial data for data-driven disaster mitigation strategies and coastal zone management policies in vulnerable coastal environments.

Page 12 of 12 | Total Record : 115

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