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M Taufik Rahmadi
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INDONESIA
Jurnal Geografi
Published by Universitas Negeri Medan
ISSN : 20858167     EISSN : 25497057     DOI : -
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Education Environmental Science Social Sciences Other
Jurnal Geografi is published as a scientific communication media in the field of Geography Education in particular and Geography in general, as well as other related fields, for faculty members, alumni of Geography Education both from the Faculty of Social Sciences of State University of Medan and alumni of geography from other universities. As a medium of scientific communication, this magazine serves to provide a means of publication for the field of development of concepts and theoretical studies, including actual issues that are relevant in the field of Geography Education in particular and Geography in general. The content of the writing does not have to be in line with the editorial policy. The magazine is published twice a year in February and August and is distributed as a publication for geography education, geography or other related fields. Circulation for the limited circle and enthusiasts can get it by changing the cost of printing and postage.
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 336 Documents
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Integrating UAV Data and Community Knowledge for Optimal Tsunami Evacuation Route Map in Coastal Loto Village, Ternate Amelia, Risky Nuri; Ningrum, Rohima Wahyu; Robo, Tamrin; Ikhsan, Muhammad; Triani, Triani; Aswan, Marwis; Safitri, Yuni Andriyani; Rakuasa, Heinrich
JURNAL GEOGRAFI Vol. 17 No. 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i2.65354

Abstract

The coastal area of Ternate Island has a high potential for tsunami disasters and complex tectonics. The tsunami on Ternate Island was triggered by an earthquake in the Maluku Sea and the eruption of Mount Gamalama under the sea. The rapid development of Ternate, especially in the tourism sector, such as Loto Agrotourism Village, West Ternate, demands attention to the safety of visitors and residents. The main problem in Loto Village is the lack of evacuation routes, so an effective evacuation strategy is needed to minimize losses during a tsunami disaster. This study aims to determine evacuation routes using UAV data and participatory mapping in Loto Village, Ternate City. UAV aerial photos were processed using photogrammetry techniques with Agisoft Metashape Professional software, producing Ortho-Mosaic Maps and Digital Elevation Model (DEM), which were analyzed in QGIS software. The ortho-mosaic map was overlaid with a tsunami hazard map to create temporary evacuation routes and points (TES), which were confirmed through participatory mapping. The Final Map shows four TESs, which are accessible via footpaths, side roads, and main roads. In the event of a tsunami, tourists and residents in the Lota Agrotourism area can use this map for evacuation. The map can also be an important reference for the government in forming disaster mitigation policies to ensure the safety of tourist destinations that are vulnerable to tsunamis.
A Study on the Protection of Terraced Agricultural Land Based on Local Wisdom in Argapura, Majalengka Regency Sudrajat Sudrajat
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.67692

Abstract

Currently, the role of local wisdom in agricultural land protection practices appears to be diminishing due to modernization, generational changes, and shifts in agricultural production orientation, posing a challenge to the sustainability of agriculture. This study aims to: (1) examine the types of land degradation occurring in terraced lands; (2) analyze the types of local wisdom-based land protection practices still applied by terraced land farmers; and (3) assess the influence of local wisdom-based land protection on the productivity of terraced agricultural land. From a population of 504 farmers, a sample of 100 was selected using Slovin’s formula with a 10% margin of error through simple random sampling. Additionally, 10 key informants were included, comprising farmers, farmer group leaders, and village officials. Primary data were collected using semi-structured questionnaires and in-depth interviews with informants. Sensitivity tests were conducted to ensure data consistency and validity. Data were processed using SPSS 28, and the results were presented in graphs and analyzed using descriptive qualitative methods, supported by findings from in-depth interviews. The study found that soil erosion and micro-landslides on terrace embankments are the most dominant types of land degradation experienced by farmers, which significantly affect agricultural productivity. To address these issues, farmers implement local wisdom-based land protection practices, including constructing bench terraces, using organic fertilizers derived from agricultural waste, collaboratively repairing irrigation channels, and prohibiting the burning of waste. Empirically, these practices have been able to maintain and even improve agricultural productivity.
Projected Land Use Change Based on Protected Scenarios in Malang City Andri Kurniawan; Hanif Ananta Damar Muzaqqi
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.67788

Abstract

Regional spatial planning often requires studies of projected land-use changes. However, these land-use change projection studies often neglect the protection function aspect in their modeling scenarios. Modeling using protection function scenarios is expected to make a significant theoretical and practical contribution to regional spatial planning and geospatial analysis. The research aims to develop a model for projecting land use change based on protected scenarios to support sustainable development in Malang City. Projection of land-use change based on scenarios is carried out quantitatively and involves spatial modeling. Spatial modeling was carried out using Cellular Automata (CA), which is integrated with Markov Chain (MC) and Artificial Neural Network (ANN). Hybrid modeling of Cellular Automata (CA) – Markov Chain (MC) – Artificial Neural Network (ANN) is expected to offer more attractive advantages compared to single modeling techniques. The model was developed by paying attention to the driving factors and constraint variables as scenario variables in the form of maintained protected areas. This research produced a projected model of land use change in 2029 based on a protected scenario in Malang City. The projection results indicate potential land change for sizable settlements in Malang City, especially in the eastern and western parts around the center of activities and the Malang-Pandaan toll road. The potential development of these settlements needs to be anticipated and directed so that they do not cause various spatial conflicts in the future and do not trigger environmental degradation. With scenario-based projections, several protected areas such as city parks, green belts, city forests, and river banks can be relatively maintained in 2029 according to the spatial pattern plan in the Malang City spatial plan.
Public Perceptions on Land Use Change and Flood Incidence in the Kendal Watershed Area Andi Irwan Benardi; Atta-Ur Rahman; Dewi Liesnoor Setyowati; Adrian Gustiyansyah Selebes; Joshua Vincent Gerar Yametis; Bayu Wijayanto; Novika Adi Wibowo; Muhammad Zulfi Al'Ghani
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.68020

Abstract

Uncontrolled land-use changes driven by rapid population growth and expanding residential development have significantly heightened flood risk in the Kendal Watershed, Kendal District. The conversion of agricultural and open land into built-up areas has altered hydrological processes, reducing water infiltration capacity and increasing surface runoff. This study aims to (1) identify spatial and temporal land-use changes from 2017 to 2025, (2) analyze public perceptions regarding land conversion and flooding, and (3) assess the resulting social and environmental impacts within the watershed area. A quantitative descriptive approach was employed by integrating Geographic Information System (GIS)-based analysis of Sentinel-2A satellite imagery with primary data collected through Likert-scale questionnaires administered to 96 respondents residing in flood-prone areas. The results indicate a substantial decline in rice field areas by 44.19 hectares, accompanied by a notable increase in residential land of 36.12 hectares over the study period. Community perceptions reveal that these land-use changes have contributed to increased flood frequency, greater flood intensity, and longer inundation duration. The observed social impacts include disruptions to daily activities, reduced access to clean water, economic losses, and a higher incidence of waterborne and skin-related diseases. Environmental impacts are reflected in declining sanitation conditions, increased waste accumulation, river sedimentation, and persistent water pollution. These findings underscore the urgent need for stricter land-use regulation, restoration of green and infiltration areas, and adaptive, sustainable spatial planning to reduce flood risk and enhance community resilience in the Kendal Watershed
Accelerating Sustainability Competencies in the Younger Generation through the Problem-Based Gamification Learning Model Sari, Rima Meilita; Suciani, Ayu; Islami, Zukya Rona; Ridhwan, Ridhwan; Sijabat, Nabila Huwaida; Prasad, Ravinesh Rohit
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/njtxny29

Abstract

Higher education faces the challenge of shaping a young generation that cares about the environment. However, in reality, young people still face difficulties in developing sustainable skills. Problem-Based Game-Based Learning (PBGL) is learning innovation for shaping sustainable competencies. The aims of this study were to determine students' sustainable competencies, determine the effect of length of study on sustainable competencies, and analyse the effect of the PBGL model on sustainable competencies. To analyse the influence of PBGL, a pretest-posttest quasi-experimental design with a control group was used. Meanwhile, to determine the differences in sustainability competencies based on length of study, the Mann-Whitney U test was used. The instrument used was modified from the sustainability competency instrument to suit the characteristics of the research subjects. The results show that sustainability competencies before treatment were at a moderate level. After treatment, the experimental group showed an increase in holistic thinking to 90.5%, followed by an increase in conflict resolution to 95.37%. The experimental group showed a significant increase (t=13.462, p<0.001) with an increase in competence exceeding that of the control group. When viewed from the difference in length of study, there is a significant difference between fifth-semester and seventh-semester students. Seventh-semester students demonstrate higher competence than fifth-semester students (p<0.05). The difference in average shows a 10% difference. This indicates that academic maturity affects the effectiveness of PBGL and sustainability competence. The results show that the PBGL model is able to accelerate the development of sustainability competencies. This study has important theoretical and practical implications for the improvement of sustainable environmental curricula and higher education learning.
Morphological Variation of The Transitional Area Between Wonosari Basin and Gunungsewu Karst Husna Diah; Tjahyo Nugroho Adji; Eko Haryono; Junbing Pu
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ej3hbf45

Abstract

This research investigates morphological variations in the transitional zone between the Wonosari Basin and the Gunungsewu Karst, an area where lithological heterogeneity, geological structure, and karstification processes interact to shape the landscape. Morphological and morphometric data were derived from Digital Elevation Model (DEM) interpretation, aerial photograph analysis, and field validation of dolines, valleys, and karst hills. The research results show that the transition zone is dominated by dissolution dolines, subsidence, collapses, and valley types that are generally blind valleys with orders of 0 to 3, a basin area of 2.35 km² with a ratio of 0.03, a valley density of 0.26 units/km, and a hill density of 18 units/km². These characteristics reflect the dominance of fluvial processes and indicate a relatively younger stage of karst development, known as fluviokarst. In contrast, Gunungsewu Karst shows a more developed morphology classified as polygonal or cockpit karst with a predominance of order 1 to 3 valleys, a basin area of 0.2 km² with a ratio of 1, a valley density of 0.67 units/km, and a hill density of 18 units/km². The dolines in this region are mostly solution-type with elongated and cockpit shapes, while dry valleys are the dominant type. Karst hills exhibit diverse morphologies, including conical, cone-convex, blunt, and elongated forms, complemented by minor features such as micropits, pits, shafts, and grikes. This study highlights the geomorphological significance of transitional karst evolution and provides essential insights for both theoretical advancement and sustainable management of fragile karst landscapes.
Monitoring Sugarcane Phenology Using Sentinel-1 SAR and Machine Learning in Central Lampung Simarmata, Nirmawana; Agustina, Lea Kristi; Rahadianto, Muhammad Ario Eko; Sari, Ratna Mustika; Nadzir, Zulfikar Adlan; Nabila, Choirun Nisa
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/46hfx180

Abstract

Sugarcane is a vital commodity in the national sugar industry, requiring accurate growth monitoring to support precision agriculture. In Indonesia, conventional monitoring methods remain limited in spatial and temporal coverage. This study aims to monitor sugarcane phenology using multitemporal Sentinel-1 Synthetic Aperture Radar and to develop a machine learning–based growth phase classification model. The study was conducted in Central Lampung during one complete growing season from November 2023 to December 2024. Time-series analysis of VV and VH backscatter coefficients and the Normalised Polarisation Ratio was applied to capture sugarcane growth dynamics. Growth phase classification models were developed using Random Forest (RF) and Support Vector Machine (SVM) and evaluated using the confusion matrix, overall accuracy, Kappa coefficient, coefficient of determination, and root mean square error. The results indicate that RF consistently outperformed SVM across all model configurations. The best performance was achieved using combined VV–VH polarization, yielding an R² of 0.929, RMSE of 0.295, and classification accuracy of 93%. In contrast, SVM models showed weak predictive performance with negative R² values and classification accuracy below 32%. These findings demonstrate that multitemporal Sentinel-1 SAR data combined with RF provide an effective approach for spatial and temporal monitoring of sugarcane phenology
Digital Twins and Urban Heat Island Modeling: A Systematic Review of Conceptual, Technical, and Geospatial Gaps in Next-Generation Urban Climate Systems Saipiatuddin Saipiatuddin; Rokhmatuloh Rokhmatuloh; Hayuning Anggrahita; Muhammad Dimyati
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.71340

Abstract

This systematic review examines the emerging integration of Digital Twin technologies with Urban Heat Island modeling to advance next-generation urban climate systems. Increasing urbanization and rising thermal stress have intensified the need for dynamic, data-driven tools capable of representing and predicting microclimate conditions in real time. Through a structured PRISMA-based screening of major scientific databases (Scopus, IEEE Xplore, ScienceDirect), 268 initial records were identified, from which 19 studies were ultimately included after systematic deduplication (25 duplicates removed) and eligibility screening (16 studies excluded: 4 lacking technical information, 10 non-urban settings, 2 non-English). These 19 studies collectively illustrate three major knowledge domains: conceptual frameworks, technical architectures, and geospatial modeling characteristics. The findings indicate that Digital Twin is progressively regarded as a real-time, adaptive digital representation of the urban environment; however, it lacks standardized definitions for climate applications (identified in 68% of reviewed studies). Technically, the integration of heterogeneous data—ranging from Internet of Things (IoT) sensors, UAV thermal imagery, and satellite-derived land surface temperatures—remains limited by challenges in latency, model calibration, data interoperability, and computational scalability (reported in 74% of studies). Geospatial analysis further highlights inconsistencies in spatial-temporal resolution and inadequate representation of suburban areas (noted in 63% of studies), constraining robust Urban Heat Island simulations across scales. Overall, this review identifies critical gaps and emerging opportunities for developing intelligent, multi-scale, and hybrid modeling approaches that combine physics-based simulations with machine learning. The findings call for harmonized Digital Twin frameworks, improved geospatial data infrastructures, and stronger interdisciplinary collaboration to support climate-resilient urban planning and adaptive heat mitigation strategies.
The Effect of TPACK-Based Learning Using Avenza Maps on Student Learning Activities in Mapping Materials Dian Ayu Pratiwi; Rahma Hayati; Juhadi Juhadi; Apik Budi Santoso; Erni Suharini
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/2yn5kp41

Abstract

While studying geography, students work to develop a theoretical grasp of the subject as well as practical skills in spatial reasoning and analysis through hands-on experience with real-world phenomena. There has been little use of GIS technology in Indonesian geography classes, despite its widespread accessibility. This research examines the deployment of TPACK-based learning in mapping materials using the Avenza Maps program and its influence on student learning activities. Proposive sampling was used to choose XE-7 pupils from Senior High School 13 Semarang as part of the descriptive quantitative methodology. We used descriptive and inferential statistics to examine the link and its effects based on data gathered through structured observation, surveys, and documentation. The findings show that, overall, students' learning activities, instructors' TPACK-based techniques, and the use of Avenza Maps are all excellent. Specifically in the areas of visual, motor, and emotional processing, as well as oral skills that need reinforcement, students' engagement levels rose from 73.33% to 75% between the first and second sessions, according to observations. Strong positive correlations among TPACK competency, Avenza Maps use, and student engagement are shown by Pearson correlation (r=0.894, 0.888, 0.771; p<0.01). Multiple regression also demonstrates that TPACK and Avenza Maps have substantial beneficial impacts. These factors account for 89.7 percent of the variation in student activity, as indicated by the coefficient of determination (R2 = 0.897). The results of this research show that a smart way to encourage active, practical, and student-centered geography learning is for instructors to combine their TPACK expertise with effective use of geospatial technology.
Cultural Geography Perspectives on the Dayak Hampang Uplands-Meratus Mountains, Indonesia Nasruddin Nasruddin; Mohd Hairy Ibrahim; Muhamad Rusmin Nuryadin; Selamat Riadi
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.71837

Abstract

This study examines the cultural geography of the Dayak Hampang community in the Meratus Mountains by integrating spatial, environmental, and political-economic perspectives. It employs a quasi-qualitative approach supported by survey methods and descriptive analysis to operationalize a cultural geography framework. Qualitative data on cultural values, indigenous knowledge, and settlement toponymy were collected through in-depth interviews. Settlement patterns were analyzed using Nearest Neighbour Analysis, GIS, field surveys, and documentation. The findings reveal that clustered toponymy and settlement patterns reflect a strong socio-spatial attachment to rivers, forests, and cultivated land, forming an integrated cultural landscape rooted in customary institutions. Shifting cultivation and ritual practices function as adaptive socio-ecological strategies that sustain livelihoods and conserve the mountainous environment despite pressures associated with protected forest designation. The study demonstrates that socio-ecological resilience increases when customary governance is formally recognized by reclassifying protected forests as customary forests (hutan adat). Conversely, restrictive state forest regimes that limit community Access, Assets, and Activities (3A) weaken adaptive capacity and heighten ecological vulnerability. Accordingly, the Sustainable Cultural Geography (SCG) model is expressed as: SCG = f (Ecological Resilience, Customary Forest Tenure, 3A Capacity), positioning cultural landscape sustainability as a function of these interrelated components.

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