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
 6   7   8   9   10 
Geochemical Characteristics of Basalt in the Northern Taopa Area, Parigi Moutong Regency, Central Sulawesi Magfira, Sri Wanda; Asrafil, Asrafil; Puspita, Riska
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.34364

Abstract

This study analyzes the geochemical characteristics of basaltic rocks in the Northern Taopa (Taopa Utara) area, Parigi Moutong Regency, Central Sulawesi, to constrain magma affinity, magmatic series, and tectonomagmatic setting. Although Central Sulawesi records complex arc–oceanic interaction, the major-element geochemistry of basalts from Northern Taopa has remained poorly documented. Petrographic observations and X-ray fluorescence (XRF) major-oxide analyses were conducted on four representative samples (ST10, ST19, ST24, and ST36). Petrographic analysis shows that all samples have a hypocrystalline–porphyritic texture with plagioclase, clinopyroxene, olivine, and opaque minerals set in a microlitic groundmass. Major-oxide compositions are characterized by SiO2 48.85–50.65 wt% and total Fe2O3 12.89–13.11 wt%, consistent with mafic basalt. On the total alkali–silica diagram the samples plot in the basalt field and display low total alkalis (Na2O+K2O 1.11–2.11 wt%) and very low K2O (0.039–0.051 wt%), indicating a low-K subalkaline affinity. AFM relations show relative Fe enrichment and place the samples within the tholeiitic series. Tectonic discrimination using TiO2–P2O5–MnO (TiO2 0.98–1.06 wt%; P2O5 0.405–0.427 wt%; MnO 0.208–0.276 wt%) suggests an ocean-island tholeiite (OIT) signature. The low-K tholeiitic, OIT-like character implies an intraplate oceanic mantle source contribution to basalt generation and provides quantitative constraints for refining regional tectonic reconstructions of Central Sulawesi during emplacement of the Taopa volcanic unit.
Estimating Urban Land Surface Temperature Using Spatial Machine Learning in Gorontalo City Koto, Arthur Gani; Abas, Mohamad Ilyas; Syahrial, Syahrial; Suparwata, Dewa Oka
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.34308

Abstract

Urban expansion in tropical cities significantly alters surface thermal conditions, intensifying the urban heat island (UHI) phenomenon. This study aims to estimate and analyze the spatiotemporal dynamics of land surface temperature (LST) in Gorontalo City from 1995 to 2025 using a spatial machine learning (SML) approach based on the Random Forest (RF) algorithm. Multitemporal Landsat 5, 7, 8, and 9 images were processed in Google Earth Engine (GEE) to derive surface reflectance, Normalized Difference Vegetation Index (NDVI), emissivity, and brightness temperature, which were subsequently employed as predictor variables in the LST model. A total of 50 ground validation points were used to assess model performance. The RF model achieved high predictive accuracy with an R² of 0.833, RMSE of ±3.33 °C, and MAE of ±2.80 °C, outperforming conventional NDVI-based models. The long-term analysis revealed a consistent increase in LST across urbanized zones, particularly in the city center and northern districts, while areas with higher vegetation cover exhibited lower LST values. The negative correlation between NDVI and LST (R² = 0.3132) confirms the critical role of vegetation in mitigating urban thermal intensity. These findings highlight the applicability of the RF-based SML framework for accurate LST estimation and urban climate monitoring, providing a scientific basis for sustainable urban planning and green infrastructure development in tropical cities.
Analysis of Community Knowledge, Attitudes, and Behaviors on Urban Heat Island Impacts in Rappocini District, Makassar City Maru, Rosmini; Nasrul, Nasrul; Nur, Medar M; Musyawarah, Rahma; Amdah, Misdar; Sari, Nurmila
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.33864

Abstract

The phenomenon of Urban Heat Island (UHI) refers to the rise in temperature in urban areas compared to their surrounding rural regions, primarily due to land-use changes, reduced vegetation, and high-density infrastructure. This condition poses health and environmental risks and presents significant challenges for sustainable urban planning. This study aims to: (1) assess the community’s level of knowledge regarding climate change and the impacts of UHI; (2) analyze public attitudes and adaptive behaviors in responding to UHI; and (3) determine the influence of knowledge and attitudes on behavior related to mitigating UHI impacts. A quantitative approach was applied using a household survey and structured questionnaires. Data were analyzed using multiple linear regression, including t-tests, F-tests, and the coefficient of determination (R²), with the aid of SPSS software. The findings show that the community's knowledge and attitudes are generally categorized as good. The F-test yielded a significance value of 0.054, indicating that the model was nearly significant at the 0.05 level. Partially, attitudes had a significant influence on adaptive behavior (p = 0.030), whereas knowledge did not show a significant effect (p = 0.890). The coefficient of determination (R²) was 0.083, meaning that knowledge and attitudes collectively explain 8.3% of the variation in community behavior toward UHI mitigation. These findings highlight the need to strengthen public education and promote behavioral adaptation strategies to reduce the environmental impact of urban heat.
Analysis of Drought Characteristics in West Java Based on Return Period of Consecutive Dry Days Nabila, Amanda; Nurdiati, Sri; Purnaba, I Gusti Putu; Najib, Mohammad Khoirun
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.32484

Abstract

Drought is one of the climate change phenomena that must be faced every year in some regions in Indonesia. West Java is a region that often experiences drought in Indonesia. Prolonged droughts are routinely experienced in some areas of West Java, while shorter periods of drought occur between rainfall events in several other regions of West Java. The characteristics of drought in West Java can be analyzed using one of the climate indicators, Consecutive Dry Days (CDD), based on the calculation of the return period of the climate indicator. Therefore, this study aims to analyze the characteristics of drought in West Java based on the calculation of the return period of the parametric distribution function by the CDD. Graph comparison and the Anderson-Darling test were used to estimate the parametric distribution function. Hourly ERA5-Land precipitation (1981–2022) was aggregated to daily totals; annual CDD was defined as the longest run of days with rainfall 1 mm, and return periods were computed using cut-off levels at the 75%, 85%, and 95% quantiles of the regional CDD distribution to map recurrence potential across cities and regencies. Based on the study's results, most of the CDD data in the West Java region have the fittest parametric distribution, namely the inverse Gaussian distribution, followed by the generalized extreme values, Weibull, and lognormal distributions. Further return period analysis shows that the area with the shortest return period to drought so that extreme drought often occurs, is the Indramayu Regency area. In that case, the areas with the longest drought return period are Bogor Regency, Bogor City, and Tasikmalaya City. These findings provide a distribution-based quantification of spatial drought recurrence in West Java to support early-warning and water-resources planning.
Estimate Sediment Thickness in Air Sempiang Village, Kepahiang Using the HVSR Method and the f0 and A0 Values Hafiza, Belliya; S, Vionita; Rabbani, Muhammad Rifqi; Suhendra, Suhendra; Sihombing, Yezra Tariza; Valennita, Valennita; Febriansyah, Gian Ori
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.31789

Abstract

Microtremor-based site characterization provides rapid constraints on near-surface stratigraphy where borehole or geotechnical data are limited. This study estimates relative sediment-thickness variation and site response in Air Sempiang Village (Kabawetan District, Kepahiang Regency, Bengkulu Province, Indonesia) using the horizontal-to-vertical spectral ratio (HVSR) method and the derived dominant frequency (f₀) and amplification factor (A₀). Ambient-vibration data were acquired at 13 measurement points (30 min per site) using a PASIGemini-2 three-component geophone. HVSR processing was performed in Geopsy 3.2.2, including time-window selection, spectral smoothing, and peak identification to obtain f₀ and A₀. The resulting parameters were interpolated using inverse distance weighting in ArcGIS to generate spatial distribution maps. The estimated dominant frequencies are predominantly high (approximately 7–20 Hz), indicating generally shallow sediment cover and relatively stiff near-surface conditions, with localized lower-f₀ zones interpreted as thicker sediment accumulations. Amplification factors vary from 2 to 8, with moderate-to-high amplification concentrated in areas inferred to contain softer or thicker sediments, whereas lower A₀ values coincide with zones interpreted as being closer to competent bedrock. The combined f₀–A₀ patterns delineate subareas that are more susceptible to medium- to high-frequency ground-motion amplification and provide a first-order basis for local-scale seismic microzonation and earthquake risk mitigation planning in the study area.
Participatory Mapping for RT, Dusun, and Village Boundary Delimitation in Dlingo, Bantul, Indonesia Syahlianawati, Ulfah; Sutanta, Heri
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.30452

Abstract

Village, hamlet, and neighbourhood boundary delineation is essential for effective governance, spatial planning, and population administration, yet many rural areas in Indonesia still lack formally recognized boundary maps. This study aims to establish accurate administrative boundaries in Dlingo Village, Bantul Regency, through a participatory mapping approach that integrates field surveys, high-resolution satellite imagery, cartometric interpretation, and GIS-based analysis. Field data were collected using handheld GPS devices and subsequently plotted and digitized to construct preliminary boundary lines. The mapping process was refined through Focus Group Discussions involving village officials, hamlet heads, and neighbourhood leaders, ensuring that spatial interpretations aligned with local knowledge and long-standing territorial agreements. The results show that most village boundaries follow natural landscape features, particularly rivers, which assisted cartometric delineation, although terrain conditions posed challenges during field verification. A comparison between field-surveyed boundaries and OpenStreetMap data revealed significant positional discrepancies, confirming the need for ground-truthing in rural boundary mapping. The final administrative boundary maps reflect both technical accuracy and community consensus, providing a reliable reference for governance, development planning, and the establishment of a village information system. This study demonstrates the effectiveness of combining participatory approaches with geospatial techniques and offers a practical model for addressing boundary ambiguities in other rural regions.
Mapping Mangrove Canopy Density Changes in Pekalongan Using Sentinel-2 Red-Edge Damara Santi, Anggit Lejar; Sukmono, Abdi; Bashit, Nurhadi; Sasmito, Bandi
Jambura Geoscience Review Vol 8, No 1 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i1.27324

Abstract

This study analysed spatiotemporal changes in mangrove canopy density within the coastal areas of Pekalongan Regency and Pekalongan City using multitemporal Sentinel-2 imagery (2019, 2021, and 2024). This study was motivated by the continuous degradation of mangrove ecosystems due to severe tidal flooding, land subsidence, and coastal hydrodynamic disturbances, which necessitate reliable monitoring tools to support mitigation and restoration programs. The objective of this study was to compare the performance of NDVI, NDVI-Red Edge, and mRE-SR vegetation indices in estimating mangrove canopy density and to determine the most accurate index for tidal-affected environments. The methodological framework involved image preprocessing, land cover classification, vegetation index computation, and linear regression modelling validated by in situ canopy measurements obtained through hemispherical photography. The results showed that the mangrove area declined significantly between 2019 and 2021, followed by partial recovery in 2024 in response to rehabilitation efforts. Among the tested indices, NDVI-Red Edge Band 5 yielded the highest accuracy with the lowest RMSE (7.65%), outperforming NDVI and mRE-SR, whereas Bands 6 and 7 showed weak predictive capability. The study concluded that NDVI-RE Band 5 is the most reliable index for mapping mangrove canopy density in dynamic coastal environments affected by tidal inundation. These findings demonstrate the effectiveness of combining Sentinel-2 red-edge information with field-based validation to support mangrove monitoring and coastal management.

Page 10 of 10 | Total Record : 97

 6   7   8   9   10 

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