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eko budiyanto
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JURNAL GEOGRAFI Geografi dan Pengajarannya
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 24433977     DOI : -
Core Subject : Science, Education, Social,
Education Physics Social Sciences
JGGP tersedia gratis (open source) untuk seluruh pembaca dan mencakup perkembangan dan penelitian dalam bidang Pendidikan Geografi, Geografi Fisik, Geografi Tehnik, Geografi manusia, baik kajian secara teoritik, eksperimen, maupun aplikasinya,
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 128 Documents
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A REMOTE SENSING-BASED ECOLOGICAL INDEX FOR WEST BANDUNG: INTEGRATING SURFACE INDICATORS AND TOPOGRAPHIC FACTORS USING A MODIFIED RSEIFE APPROACH Sari, Maya Indah; Muharram, Fajrun Wahidil; Wirabumi, Putu
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 1 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n1.p259-268

Abstract

This study assesses ecological conditions in West Bandung using the Remote Sensing Ecological Index Considering Full Elements (RSEIFE), which integrates NDVI, NDBSI, WET, and LST through entropy-based weighting. Landsat 9 imagery and elevation data were used to evaluate ecological quality across four elevation zones. Results show a strong positive correlation between NDVI and WET (r = 0.728) and a negative correlation between NDVI and LST (r = –0.628), indicating vegetation's role in cooling and moisture retention. The highest mean RSEIFE value (0.424) was found in areas above 1500 masl, while the lowest minimum value (0.0677) occurred below 1000 masl. Spatial analysis reveals that highland districts (e.g., Gunung Halu, Rongga) maintain better ecological integrity, while lowland urban zones (e.g., Padalarang, Batujajar) face ecological stress. These findings highlight how topographic variation influences ecological conditions, emphasizing its importance in guiding sustainable land-use planning. Keywords: Ecological Index, Environment, Urbanisation
TSUNAMI DISASTER VULNERABILITY ANALYSIS USING GEOGRAPHIC ANALYSIS SYSTEM (GIS) IN PACITAN DISTRICT, EAST JAVA Marceyl, Ronald; Yuda Anwari, Ade; Sufyan, Adi; Jalaludin, Muzani
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p287-302

Abstract

Tsunami risk monitoring and management planning have become mandatory for the management of Pacitan District due to the high tsunami risk in the region caused by being among the subduction zone of the major plates and an area of active megathrust and ocean floor expansion. Approach in this study used four dimensions of risk to develop a tsunami index value: physical, social, economic, and environmental. The enumeration exercise used secondary data and analysis and processing techniques using QGIS and Microsoft Excel software, with the specific aim of graphically presenting the studied areas of tsunami vulnerability and the vulnerability index score from the regions for editing purposes. The locations such as Pacitan, Pringkuku, and Tulakan sub-districts are relatively vulnerable and therefore need to be upgraded its underdeveloped areas. This is because of poor infrastructure, population congestion, and unwarranted socioeconomic circumstances leading to a high level of exposure. Where such risks exist there is the need for planning such vulnerable areas according to the level to minimize the high risk of tsunami vulnerability in Pacitan. Keywords: Disaster Risk Assessment, Geographic Information Systems (GIS), Tsunami Vulnerability
SPATIOTEMPORAL ANALYSIS OF FOREST LOSS AND LAND USE DYNAMICS IN THE SANGKULIRANG–MANGKALIHAT KARST ECOSYSTEM IN EAST KALIMANTAN Purnama, Syaiful Muflichin; Wahyuningsih, Noor; Wirabumi, Putu; Karondia, Loryena Ayu
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p269-286

Abstract

The Sangkulirang-Mangkalihat Karst region faces increasing pressure from human activities, particularly Forest Loss, land-use conversion, and industrial expansion, threatening its ecological functions including water storage, biodiversity habitat, and ecosystem services. This study analyzes land use and land cover (LULC) dynamics and Forest Loss patterns in Berau and East Kutai Regencies from 2001 to 2023 using multitemporal remote sensing with Landsat-8 and Sentinel-2 imagery. Land cover classification employed Random Forest algorithm, achieving 90% spatial accuracy. Results reveal complex Forest Loss trends, with highest forest loss in Berau Regency while East Kutai shows fluctuating dynamics. Vegetation recovery was detected, particularly increased high-density forest cover and decreased open land during 2019–2023. Despite regeneration signs, the karst landscape remains under significant pressure from overlapping mining and plantation concessions. The study emphasizes implementing spatial conservation strategies and strengthening karst protection policies, supported by long-term remote sensing monitoring and machine learning algorithms to sustain the ecosystem. Keywords: Karst Ecosystem, Remote sensing, Land Use Land Cover
META ANALYSIS: THE EFFECT OF AUGMENTED REALITY ON STUDENTS' GEOGRAPHY LEARNING OUTCOMES IN SCHOOLS Lubis, Darwin Parlaungan; Anja Kusumawati, Eka Suci; Rahmadi, M Taufik; Sugiharto; Permana, Sendi; Pratama, Alvin; Suciani, Ayu; Siahaan, Nurhalimah
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p373-384

Abstract

Geography learning outcomes reflect the success of the learning process, particularly in the cognitive domain. However, many students struggle to understand abstract geographical concepts that are ideally taught in natural settings. This study aims to analyze the impact of augmented reality (AR) as a learning medium on geography learning outcomes. Using a quantitative meta-analysis method, 14 ISSN-certified national journal articles were reviewed. The results show that AR significantly enhances geography learning outcomes, with an average effect size of 0.34, indicating a strong positive impact. he results show that AR significantly enhances geography learning outcomes, with an average effect size of 0.34. According to Cohen's criteria, this value is categorized as a large effect, signifying that AR has a substantial and meaningful impact on students’ understanding of abstract geographical concepts. This effect size also surpasses that typically reported for conventional learning media, highlighting the innovative advantage of AR in geography education. Keywords: Augmented Reality, Learning Outcomes, Meta-analysis
ANALYSIS OF THE SPATIAL PATTERN OF OIL PALM TREES IN BLOCKS N39 AND P39 IN PT. NUSANTARA SAWIT PERSADA Putri, Herlina Lupi Listyaning; Nasruddin
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p339-352

Abstract

Block-level spatial patterning of oil palm is often under-measured for actionable precision management. This study analyzes the spatial pattern of oil palm trees in Blocks N39 and P39 at PT Nusantara Sawit Persada. High-resolution UAV imagery was processed into orthophotos, crowns were automatically detected in eCognition Developer using template matching, and spatial patterns were evaluated with Nearest Neighbor Analysis. The distribution was significantly dispersed (Nearest Neighbor Ratio > 1; Z-score > 97). Morphometric and age variables jointly explained productivity (R² > 0.80). An integrated workflow combining UAV imagery, eCognition object-based analysis, and Average Nearest Neighbor (ANN) delivers accurate plantation diagnostics and supports data-driven precision management, including block-level planning, targeted fertilization, timely replanting, and harvest scheduling. Keywords: Spatial Patterns, Oil Palm Trees, UAV
ANALYSIS OF SIGNIFICANT WEATHER PHENOMENA TRIGGERING DIVERSIONS AT SOEKARNO-HATTA INTERNATIONAL AIRPORT USING MULTI-DATA OBSERVATIONS (CASE STUDY OF JANUARY 28, 2025) Muhizzadin Abdul Adzan; Pertiwi Risky Setyowati; Yosafat Donni Haryanto
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p303-316

Abstract

Significant weather is one of the crucial factors that can affect flight safety and cause flight diversions. However, analyses of atmospheric dynamics causing diversions often use limited observational data, and observational data have their own limitations. Therefore, this study aims to analyze the atmospheric dynamics that caused diversion incidents (23 flights) at Soekarno-Hatta International Airport on January 28, 2025, using multi-observation data, including radiosondes, Automatic Weather Stations (AWS), the Himawari-9 satellites (CCO method), and weather radar. The results of the study show that ordinary cells triggered by atmospheric instability and low convective inhibition (CIN) create extreme rainfall, causing diversion. Total rainfall reached 255.4 mm/day, with the highest intensity at 13:00 and 14:00 UTC at 86.4 mm/hour and 93.8 mm/hour, respectively, and was classified as extreme rainfall. In addition, the maximum radar reflectivity reached 50.5 dBZ. The use of multi-source observation data is expected to provide a comprehensive understanding of the triggers of significant weather events, as well as a scientific basis for determining thresholds to improve the accuracy of aviation weather forecasting and risk mitigation strategies. Keywords: Diversion, CGK, Radiosonde, AWS, CCO, Weather Radar
RAINFALL PROJECTIONS USING CMIP6 SCENARIOS IN THE CIRARAB WATERSHED Hidayah, Kuny; Sekaranom, Andung Bayu; Suprayogi, Slamet
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p317-338

Abstract

Climate change has been identified in the Cirarab watershed by looking at records of extreme rainfall events. This study aims to develop a scenario of climate change impacts at the watershed scale, especially from the aspect of changes in rainfall patterns in the Cirarab watershed until 2050. This research uses a descriptive quantitative method with a spatial-temporal approach, using secondary data obtained from the official databases of BMKG, CMIP6, and relevant literature. The analysis technique used is statistical downscaling. The results stated that based on climate change scenarios, the annual rainfall pattern in the Cirarab watershed remains stable with a monsoon climate type, marked by a single peak in the rainy season. Spatial variations in monthly rainfall are minimal due to the watershed’s flat topography. However, rainfall variability during the rainy season leads to a temporal shift in the peak, indicating changes in rainfall timing despite overall pattern stability. Keywords: Cirarab Watershed, Climate Change, CMIP6
THE INFLUENCE OF GEOGRAPHY EDUCATION ON STUDENTS' UNDERSTANDING OF THE ROLE OF TOLI-TOLI COASTAL VEGETATION IN MAINTAINING SOIL STABILITY Ismiatus, Wilda; Hadi, Bambang Syaeful
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p353-372

Abstract

Geography education is crucial in fostering students’ ecological awareness, particularly regarding coastal ecosystems. This study examined the effect of geography education on students’ understanding of coastal vegetation functions in maintaining soil stability in Toli-Toli. Using a quantitative explanatory design and simple linear regression, data were collected via a 4-point Likert scale questionnaire covering geography education and ecological understanding indicators. The analysis showed a significant effect of geography education, with a partial t-test (t = 11.979 > 1.983; p = 0.001) and F-test (F = 143.492 > 3.09; p < 0.001). The determination coefficient (R² = 0.589) revealed that geography education accounts for 58.9% of the variance in students’ understanding. These results highlight the importance of contextual and applied geography learning to strengthen ecological literacy, enabling students to appreciate the ecological and socio-economic roles of coastal vegetation, particularly mangroves, in protecting coastlines and maintaining environmental sustainability. Keywords: Geography Education, Ecological Awareness, Coastal Vegetation

Page 13 of 13 | Total Record : 128

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