cover
Contact Name
Moch. Rio Pambudi
Contact Email
geosfera@ung.ac.id
Phone
+6282334802050
Journal Mail Official
geosfera@ung.ac.id
Editorial Address
Jl. Prof. Dr. Ing. B. J. Habibie, Moutong, Tilongkabila, Kabupaten Bone Bolango 96119, Gorontalo, Indonesia. Tel. +62-852-5674-4737 , +62-821-5166-4800 (Call/SMS/WA) E-mail: geosfera@ung.ac.id
Location
Kota gorontalo,
Gorontalo
INDONESIA
Geosfera: Jurnal Penelitian Geografi
ISSN : 29625424     EISSN : 29625416     DOI : https://doi.org/10.34312/geojpg.v1i1
Geosfera : Jurnal Penelitian Geografi (GeoJPG, P-ISSN: 2962-5424, E-ISSN: 2962-5416) is a peer-reviewed journal published by Department of Earth Science and Technology, Universitas Negeri Gorontalo. GeoJPG provides open access to the principle that research published in this journal is freely available to the public to support the exchange of knowledge globally. GeoJPG published two-issue articles per year namely June and December. GeoJPG provides a place for academics, researchers, and practitioners to publish scientific articles. Each text sent to GeoJPG editor is reviewed by peer review. Starting from Vol. 1 No. 1 (June 2022), all manuscripts sent to the GeoJPG editor are accepted in Bahasa Indonesia. The scope of the articles listed in this journal relates to various topics, including (1) Geography Education, (2) Physical Geography, (3) Human Geography, (4) Geographic Information System (GIS), (5) Remote Sensing, (6) Environmental Science, (7) Disaster Risk Reduction and other relevant geosciences. This journal is available in print and online and highly respects the ethics of publication and avoids all types of plagiarism.
Articles 8 Documents
Search results for , issue "Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi" : 8 Documents clear
Pemodelan 3D Perubahan Coulomb Stress Pasca-Gempa Seram Pada 5 Mei 2024 Dengan Magnitudo 6.1Mw Wahyudi, Riski; Auliya, Laila; Nugraha, Purwaditya; Prasetyo, Nugroho; Styawan, Yudha
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.34961

Abstract

This study aims to analyze Coulomb stress changes following the Mw 6.1 earthquake in Seram on May 5, 2024, in order to identify potential subsequent seismic hazards. The methodology employed numerical modeling using Coulomb 3.4 to calculate stress distribution, which was then visualized through spatial interpolation in both 2D maps and 3D cross-sections. The 2D modeling results reveal zones of significant stress increase that spatially correlate with the locations of major earthquakes in 1993 and 1998. The 3D analysis further indicates stress concentration at shallow to intermediate depths (0–12 km), consistent with the distribution of recorded aftershocks, thereby validating the reliability of the model. Additionally, stress transfer was detected toward surrounding faults, particularly the Seram strike-slip segment and the Bobot fault segment. In conclusion, this research demonstrates that Coulomb stress modeling provides a quantitative framework for assessing post-seismic stress evolution and constitutes a crucial basis for disaster mitigation efforts in the tectonically complex Maluku region.
Karakteristik Batuan Piroklastik Berdasarkan Analisis Petrografi Daerah Molingkapoto dan Sekitarnya Kabupaten Gorontalo Utara Provinsi Gorontalo Matoka, Putri Aprilia; Kasim, Muhammad; Akase, Noviar
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.32267

Abstract

Daerah penelitian berlokasi di Molingkapoto dan sekitarnya, Kabupaten Gorontalo Utara, Provinsi Gorontalo. Secara fisiografi, daerah penelitian berada pada zona pegunugan utara di formasi Batuan Gunung Api Bilungala dan Breksi Wobudu. Secara stratigrafi, daerah penelitian terdiri dari batuan berumur tersier hingga kuarter. Tujuan dari penelitian ini adalah untuk mengetahui karakteristik batuan piroklastik daerah penelitian berdasarkan analisis petrografi, dengan menggunakan metode pemetaan lapangan yang merupakan bagian dari pengumpulan data untuk pengolahan data studio, dan metode analisis petrografi yang digunakan untuk pengolahan data laboratorium. Hasil penelitian menunjukkan bahwa daerah penelitian terdiri dari perbukitan aliran piroklastik dan dataran aluvial dengan litologi breksi piroklastik dan tuff yang dimana merupakan produk hasil vulkanisme. Analisis petrografi menunjukkan bahwa matriks dari batuan breksi piroklastik daerah penelitian berjenis tufa kristal  (PA 04) yaitu batuan yang didominasi pecahan -pecahan kristal dan tufa litik (PA 24) yang didominasi pecahan -pecahan atau fragmen batuan sementara batuan tufa berjenis litik tufa (PA 18) yaitu batuan yang didominasi pecahan -pecahan atau fragmen batuan.
Karakteristik Batuan Tuff Pada Daerah Mootilango Kabupaten Gorontalo Utara Provinsi Gorontalo As'ari, Muh Hasym; Zainuri, Ahmad; Kasim, Muhammad
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.32262

Abstract

The study area is located in Mootilango Village Anggrek Sub-district, North Gorontalo Regency, Gorontalo Province. Geographically, the study area is located at coordinates 0° 46' 0" - 0° 46' 45” LU and 122° 48' 0” - 122° 48' 45" BT with an area of about 3.7 km². The purpose of this study was to determine the characteristics of tuff rocks through petrological, petrographic and geochemical analysis in the laboratory. The results of petrological identification show that the rock types are coarse tuff, fine tuff and pyroclastic breccia. The results of petrographic analysis show that the tuff in this area belongs to Vitric tuff according to the classification of Schmid (1981). The results of geochemical analysis show that the tuff in the study area belongs to the basalt-andesite type transition rock group according to the classification of Le Bas et al. (1986). Two classification approaches were used in the analysis to determine the magma series of the rock, namely according to Irvine and Baragar (1971), which shows that the rock belongs to the tholeiitic magma series.
Uji Kualitas Massa Batuan Berdasarkan Metode Rock Mass Rating Desa Longalo, Kabupaten Bone Bolango Anwar, Moh. Raihan; Kasim, Muh.; Aris, Ayub Pratama
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.35073

Abstract

This study was conducted in Longalo Village to determine the rock mass quality using the Rock Mass Rating (RMR) method. The analysis was carried out on five field observation segments. The lithology of the study area consists of granitic rocks, most of which have undergone deformation, especially along the slope areas. Geological factors such as the degree of weathering and structural conditions influence the rock mass assessment. The analysis results show that the RMR values range from 48 to 56, which are classified as Class III or fair-quality rock. Based on this classification, the rock mass conditions in the study area are generally fairly stable but are still influenced by structural features and weathering.
Analisis Penerapan Model Problem Based Learning Terhadap Kemampuan Berpikir Spasial Pada Materi Sistem Informasi Geografis Bana, Trully Yessyca; Rahmawati, Arfita; Ersani, Erry
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.34809

Abstract

Spatial thinking ability is a core skill that students must possess to understand and solve problems in geography. Spatial thinking involves the integration of spatial concepts, spatial information methods, and reasoning processes that enable students to analyze spatial relationships. This cognitive skill allows learners to transform and collaborate between spatial concepts and representational tools to comprehend geospheric phenomena. This study aims to examine the implementation and influence of the Problem-Based Learning (PBL) model on improving students’ spatial thinking ability at SMA Negeri 1Amarasi Barat in the 2025/2026 academic year. The study employs a classroom action research design with a quantitative approach. The research subjects were students of classes X1 and X2. The research procedure consisted of planning, implementation, observation, data analysis, reflection, and follow-up stages. Data were collected through questionnaires and learning achievement tests, then analyzed using mean calculations and simple linear regression tests assisted by SPSS. The findings show a significant improvement in the experimental class, with the N-gain increasing from a pretest mean of 46.65 to a posttest mean of 71.57, while the control class decreased from 57.65 to 42.26. The hypothesis test revealed significance values (2-tailed) of 0.000 and 0.001 0.05, indicating that the PBL model has a significant positive effect on students’ learning outcomes. Thus, Problem-Based Learning is proven effective in enhancing spatial thinking and improving the quality of geography learning. 
Pemetaan Rawan Fenomena Sinkhole Sebagai Upaya Mitigasi Bencana Di Desa Lebbo Tengae, Kabupaten Maros Ardianto, Ardianto; Alghifari, Rihan Muhammad; Hidayah, Nurul
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.34731

Abstract

This study aims to determine the Sinkhole prone zone around the impact of the Sinkhole in Lebbo Tengae Village, Maros Regency by using this type of quantitative research and using a pure experimental approach. The data collection technique used was direct observation and measurement of the resistivity value of the rock under the surface around the Sinkhole. The results of the study revealed that the cause of the Sinkhole in Lebbo Tengan Village, Maros Regency was due to the presence of an aquifer below the surface that is right parallel to the Sinkhole. In addition, it was also found that the subsurface structure that made up the area was dominated by clay and sandy soil so that it was very easy to dissolve in aquifers. Based on the results of the research, there were suggestions especially for the community not to build buildings around the Sinkhole because of the active aquifer below the surface so that it has the potential for a Sinkhole to occur in the future
Kajian Tingkat Kerentanan Longsor Menggunakan Sistem Informasi Geografis Kecamatan Monano, Kabupaten Gorontalo Utaea Noho, Fitria Maharani Putri Iwan; Maryati, Sri; Kasim, Muhammad
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.32092

Abstract

Gorontalo Province has areas that are prone to landslides, especially in North Gorontalo Regency. This study has two main objectives, namely identifying the lithology that makes up the research area and analyzing the level of landslide vulnerability in area. This study uses the Multi Criteria Evaluation (MCE) method with the use of GIS analysis to achieve its objectives. Determination of the level of landslide vulnerability is carried out by overlaying parameters such as lithology, straightness density, slope gradient, soil type, rainfall and land use. The lithology that makes up the research area consists of andesite, agglomerate, sandstone and alluvial deposit units. Based on the results of the analysis, landslide vulnerability in the research area can be categorized into 3 classes, namely. Low landslide susceptibility class (34.13 km2), medium landslide susceptibility class (66.89 km2) and high landslide susceptibility class (19.65 km2)
Expanding Spatial Understanding through Mobile Augmented Reality: A Contemporary Synthesis of Pedagogical, Technological, and Cognitive Dimensions in Geography Education Pratama, M. Iqbal Liayong; Yusuf, Daud; Maryati, Sri; Rusiyah, Rusiyah; Kobi, Wiwin; Melo, Ramla Hartini; Pambudi, Moch Rio; Masruroh, Masruroh; Hendra, Hendra; Asrul, Asrul
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.35155

Abstract

Mobile augmented reality (AR) has evolved from an experimental visualization tool into a mature pedagogical medium that redefines spatial learning in geography education. By embedding digital content into authentic locations, AR fosters experiential and inquiry-driven learning aligned with geography’s spatial and environmental paradigms. Building on evidence from 2015 to 2025, this review synthesizes 138 studies to examine how AR supports cognitive, affective, and behavioral learning dimensions. The analysis reveals that AR enhances spatial reasoning, visualization of abstract processes, and place-based engagement when integrated within robust instructional design frameworks. However, persistent gaps remain in long-term learning assessment, scalability, and teacher competence for authoring AR experiences. Cognitive-load and motivation studies suggest that AR’s benefits are maximized when interactivity and spatial anchoring are balanced with scaffolding. The review proposes a multidimensional model linking technological affordances, pedagogical strategies, and geographic thinking to promote education for sustainability and digital spatial citizenship. Implications for researchers, educators, and developers are discussed to guide future cross-disciplinary innovations.

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