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Forum Geografi
Published by Universitas Muhammadiyah Surakarta
ISSN : 08520682     EISSN : 24603945     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Aim Forum Geografi is an open-access, peer-reviewed journal dedicated to advancing the field of geography by publishing original scientific articles on spatial issues. The journal prioritizes studies that employ rigorous spatial analysis and geospatial technologies—such as GIS and remote sensing—to deepen theoretical and empirical understanding of spatial patterns, processes, and interactions in both physical and human geography. Focus The primary focus of Forum Geografi is on studies that apply Geographic Information Systems (GIS) and/or remote sensing for spatial and regional analysis of physical and human geographic phenomena. Scope - Human and environment interaction - Geomorphology: process and modelling - River basin: process and modelling - GIS and/or Remote sensing-based disaster-related study - Urban, rural, and regional study
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geologi
Articles 97 Documents
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The Role of Geospatial Technology and Landform Mapping for Volcanic Secondary Hazard Anticipation in Semeru Volcano, Indonesia Syamsul Bachri; Osamu Murao; Muhammad Naufal Fathoni; A Riyan Rahman Hakiki
Forum Geografi Vol. 39 No. 2 (2025): August 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i2.10060

Abstract

The combination of geospatial technology and field-based evidence plays an important role. It has become a fundamental information system for any disaster-related database, such as a map at the local and regional levels. This research aims to map the geomorphological conditions of the Semeru Volcano after the 2021 eruption and to identify the area of the rain-triggered lahar slide based on the geomorphological conditions. We used remote sensing, geographic information systems, and field surveys. Factors such as morphological condition, lava slide direction, granularity, and thickness were used to predict the secondary hazard zone. The results found that erosion and sedimentation processes of rain-triggered lahar materials dominated 32 landforms from the geomorphological analysis within the study area. The materials were massively distributed in the middle and low-depositional zones located in the Mandalika formation. The inverse distance weighted analysis of lahar materials showed that the distribution of lahar in the range of 0 - 18.5 m was piled up at the bottom of the deposition process. In addition, through granular analysis, fine materials were deposited in the lower zone as a continuous sedimentation process. The lahar direction analysis also shows that the lower zone is a dangerous slide zone with indications of many lava slides. This research proves that the combination of geospatial and field-based evidence can be used to predict the secondary volcano hazard.
Waste Management Policy in Four ASEAN Countries: Emerging Contemporary Issues from Research Works Al Fauzi Rahmat; Zoltán Bujdosó; Lóránt Dénes Dávid
Forum Geografi Vol. 39 No. 2 (2025): August 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i2.10086

Abstract

Asia Tenggara menghadapi krisis sampah yang mendesak, terutama di Indonesia, Malaysia, Thailand, dan Filipina, yang mengancam konsekuensi lingkungan, ekosistem, dan kesehatan masyarakat yang parah. Tanpa kebijakan pengelolaan sampah yang komprehensif, kondisi memburuk secara signifikan. Penelitian ini mengeksplorasi studi kebijakan pengelolaan sampah dengan lensa bibliometrik di empat negara Asia Tenggara: Indonesia, Thailand, Malaysia, dan Filipina. Menggunakan basis data Scopus, yang didukung oleh perangkat lunak VOSViewer dan paket studio bibliometrix-R, penelitian ini memberikan visualisasi yang presisi. Temuan mengungkapkan bahwa empat negara menunjukkan tren peningkatan namun berfluktuasi dalam jumlah publikasi, dengan Indonesia muncul sebagai kontributor utama dalam beberapa tahun terakhir. Lebih lanjut, dokumen terbanyak yang dipelajari oleh akademisi, dokumen dengan dampak tertinggi, dan dokumen terbanyak dalam sumber jurnal juga dibahas. Dua afiliasi di Malaysia merupakan afiliasi terkemuka, diikuti oleh dua afiliasi dari Thailand. Lebih lanjut, ilmu lingkungan dan ilmu sosial merupakan bidang minat para akademisi. Pemetaan lintasan jaringan istilah dan peta tematik disertakan secara komprehensif. Singkatnya, Indonesia berjuang keras melawan sampah plastik untuk meminimalkan perubahan iklim, sementara Malaysia berfokus pada penanggulangan emisi sampah dan sampah rumah tangga. Filipina berupaya meningkatkan kesadaran tentang masalah mikroplastik di lautan dan mendorong kesadaran publik tentang pengelolaan sampah. Thailand membutuhkan perhatian untuk mendanai peralatan pengelolaan sampah, menerapkan solusi ramah lingkungan, dan merevisi aturan pengelolaan sampah. Implikasinya menggarisbawahi kompleksitas baru permasalahan sampah di Asia Tenggara, yang membutuhkan strategi dan solusi yang disesuaikan untuk mengatasi tantangan dan permasalahan sampah di setiap negara. Penelitian terkini berkontribusi pada kondisi pengetahuan yang ada dengan memberikan pandangan yang terurai tentang kebijakan pengelolaan sampah nasional di negara-negara tersebut. Penelitian ini juga menyoroti potensi titik-titik kunci di masa depan untuk intervensi yang terarah dan alokasi sumber daya; dengan demikian, kebijakan dan kolaborasi di masa depan dalam pengelolaan sampah mungkin akan menjadi lebih efektif dan berdampak.
Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis Azizul Ahmad; Mohd Zulhafiz Said; Salfarina Abdul Gapor; Lindah Roziani Jamru; Norita Jubit; Sumayyah Aimi Mohd Najib; Tarmiji Masron; Nur Afiqah Ariffin; Yaniza Shaira Zakaria
Forum Geografi Vol. 40 No. 1 (2026): April 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.10133

Abstract

Flooding increasingly threatens socio-economic resilience in Malaysia, particularly in vulnerable districts such as Padang Terap, Kedah. Using a GIS-based framework integrating Spatial Autocorrelation (Moran’s I) and Optimized Hotspot Analysis (Getis-Ord Gi*), this study quantifies spatial clustering of flood-prone areas across four inundation levels (0.3 m–3.7 m). Results reveal intensifying positive spatial autocorrelation with rising flood depths, reflecting hydrological connectivity and topographic controls. Hotspots are consistently concentrated in Belimbing Kanan, Belimbing Kiri, and Padang Temak, emphasizing severe spatial heterogeneity in flood risk distribution. These findings demonstrate that flood hazards are not randomly dispersed but spatially structured, necessitating geographically targeted risk mitigation strategies. Incorporating hotspot insights into planning can optimize resource allocation, strengthen adaptive capacity, and inform flood-resilient urban development. This research advocates for integrating fine-scale spatial analyses into national disaster frameworks to enhance Malaysia’s climate resilience agenda. Future work should embed socio-economic vulnerability metrics and spatiotemporal models to refine flood risk governance and promote equitable, anticipatory disaster management.
Tourism-Oriented Spatial Analysis of Tangible Cultural Heritage in Bukhara (Uzbekistan) Mukhriddin Kilichov; Lóránt Dénes Dávid
Forum Geografi Vol. 39 No. 2 (2025): August 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i2.10235

Abstract

This study examines the spatial distribution and tourism utilization of 829 officially registered architectural heritage sites in the Bukhara, Uzbekistan. Spatial analysis methods including the Gini Index (0.569), Lorenz Curve, Nearest Neighbor Analysis, Kernel Density Estimation, and Bivariate Moran’s I were applied to examine clustering patterns and disparities across districts. The findings reveal unequal heritage distribution: over 50% of the sites are located in two districts, mainly in the eastern region, while others remain underrepresented. The Bukhara city shows strong clustering, whereas several districts exhibit random or dispersed patterns. Despite a sharp rise in tourist arrivals from 13,300 international visitors in 2020 to over 1.7 million in 2024 only 146 sites (17.6%) are actively used for tourism. This increased tourism pressure, with visitors per site growing from 1,798 to 39,351. Typological analysis showed uneven spatial patterns among major religious, administrative, residential, and public groups. Bivariate Moran’s I (I = –0.0621, p = 0.498) indicated no significant spatial correlation between population density and heritage distribution. The study recommends adopting circular tourism strategies to reduce pressure, balance regional disparities, and promote sustainable heritage-based tourism development. Findings offer a basis for balanced heritage management and tourism development in Uzbekistan with comparable regions.
A Phenomenon of Disparity Between Regional Spatial Planning and Actual Land Use in the Citarum River Corridor, Indonesia Iwan Setiawan; Dede Rohmat; Suhendro Suhendro
Forum Geografi Vol. 39 No. 3 (2025): December 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i3.10379

Abstract

The Citarum River in Indonesia is a sensitive and strategic area and is known as the dirtiest river in the world. The root of the problem lies in the existence of gaps along the corridor that are not subject to regional spatial plan (RSP). This study aims to (1) present empirical data illustrating these spatial discrepancies, and (2) analyse the underlying factors contributing to them. A spatial analytical approach was employed, integrating geospatial technologies and an Autel EVO 2 Pro V3 drone, alongside questionnaire surveys based on multi-criteria decision analysis (MCDA) (37 respondents) and in-depth interviews with local communities (35 respondents). The analysis of Sector 3 exhibited the highest disparity (49.85%) in gap area coverage, while Sector 1 showed the lowest (9.41%). A comprehensive investigation was conducted using MCDA to examine the underlying causes of these discrepancies. The findings indicate that economic, environmental and socio-demographic factors; public knowledge of RSP; the role of RSP; and community engagement with RSP are the root causes of the observed disparities along the Citarum River corridor (Sectors 1–4). We recommend aligning RSP with actual geospatial conditions; adopting adaptive zoning; enforcing laws; and enhancing public outreach for sustainable Citarum River management.
Mapping the Information of Social Vulnerability of Covid-19 Pandemic in Bandung City, Indonesia Nandi Nandi; Klaus Greve; Arif Ismail; Wawan Setiawardani; Yuli Diani Rahmawati; Khimmataliev Dustnazar Omonovich; Nurmamatov Sheroz Eraliyevich
Forum Geografi Vol. 39 No. 3 (2025): December 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i3.10775

Abstract

The COVID-19 pandemic has widened socioeconomic disparities in urban Indonesia, where studies on the interaction between demographic factors and population density are often overlooked. This leaves a gap in the holistic understanding of spatial vulnerability. This gap is pressing for Bandung, one of Indonesia's key economic hubs, where the lack of integrated, evidence-based data hampers mitigation efforts against the pandemic's impact. This research is motivated by the need to fill this gap by mapping the social vulnerability of Bandung residents to COVID-19. This study uses a multi-criteria approach (Analytical Hierarchy Process/AHP) using four main parameters: building density, population density, potential crowd locations, and demographic structure, to assess the level of social vulnerability. The analysis reveals that six districts Babakan Ciparay, Batununggal, Bojongloa Kaler, Cibeunying Kidul, Coblong, and Kiaracondong show very high social vulnerability. The study also identifies the distribution of COVID-19 cases and these social factors, particularly in densely populated and crowd-prone areas. Consequently, this study highlights the need for policy alignment to reduce social vulnerability and mitigate the impact of the pandemic in Bandung City. It also recommends increasing public awareness and strengthening health protocols to minimize the risk of COVID-19 transmission. These findings offer strategic direction for the government and stakeholders to develop more effective policies in dealing with future health crises.
Balancing Urban Growth and Food Autonomy: An Integrated Machine Learning and Agricultural Statistics Framework for Local Rice Self-Sufficiency in the PNAR of Purwokerto, Indonesia Bayu Rizqi; Masita Dwi Mandini Manessa
Forum Geografi Vol. 39 No. 3 (2025): December 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i3.11234

Abstract

Rapid peri-urbanization intensifies competition between settlement growth and farmland, creating structural risks to local food security. This study integrates machine learning–based spatial modeling, agricultural statistics, and policy-relevant scenarios to examine how land use trajectories influence local rice self-sufficiency in the Proposed New Autonomous Region (PNAR) of Purwokerto, Indonesia. Multi-temporal Sentinel-2 imagery served as input for Random Forest–based classification of existing land use, whereas CA–ANN was used to simulate transitions and predict land use in 2029. The Random Forest classification model achieved an overall accuracy of 84% with a Kappa coefficient of 0.81, while CA–ANN model validation through hindcasting for 2015–2024 reached 82% spatial agreement, with strong class stability for paddy fields (0.853) and built-up areas (0.973). Under the business-as-usual path, paddy fields decline from 8,506 ha (2015) to 6,512 ha (2029), shifting the rice balance from a +3,791 tons surplus to a –12,520 tons deficit. A combined scenario cropping index of 250, a 2% conversion reduction, and 4% population moderation restores near-equilibrium (+190 tons). These findings confirm that safeguarding peri-urban food resilience requires coordinated land use regulation, demographic control, and agrotechnological intensification. The validated CA–ANN framework offers a transferable decision-support tool for sustainable land-food governance in rapidly growing regions of the Global South.
A Systematic Review of Loyalty in Urban Green Spaces: Bibliometric Mapping and TCCM Analysis Menglan Huang; Nor Fadzila Aziz; Jiali Liu; Huaheng Shen
Forum Geografi Vol. 40 No. 1 (2026): April 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.11324

Abstract

Urban green spaces (UGS) play an essential role in environmental sustainability, public health and so-cial well-being. Understanding user loyalty to these spaces is increasingly important for their long-term governance and effective management. This study conducts a systematic review of 38 peer-reviewed articles on UGS loyalty published between 2010 and 2025 and indexed in the Web of Science and Scopus databases. Using VOSviewer and Scimago Graphica to map keyword co-occurrence and publi-cation trends, supported by content analysis guided by the theory–context–characteristics–methods framework, the review reveals fragmented theoretical foundations, uneven geographic distribution of studies and predominant reliance on quantitative methods. Core constructs such as place attachment, satisfaction and revisit intention are often analysed yet usually lack a stable conceptual foundation. The results give us valuable information about loyalty determinants and mechanisms, as well as help-ful insights for urban planning and environmental governance. This study also identifies future re-search demands, such as expanding contextual coverage, improving theoretical integration and imple-menting more diverse and longitudinal methodological approaches.
Understanding the Spatial Distribution and Environmental Drivers of Kingfishers (Alcedinidae) Through the Species Distribution Modeling Approach Nirmala Ayu Aryanti; Satyawan Pudyatmoko; Riri Wiyanti Retnaningtyas; Muhammad Tafrichan; Ign. Pramana Yuda; Muhammad Ali Imron
Forum Geografi Vol. 41 No. 1 (2027): April 2027
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.11557

Abstract

Accurate prediction of species distribution is crucial for biodiversity conservation, particularly amid widespread habitat loss. As one of the largest islands and heavily developed landmasses in the Indonesian archipelago, Java is facing rapid habitat deterioration due to environmental changes. While most studies have historically focused on the protection species within protected areas, species distribution outside protected areas remain largely understudied. Consequently, metrics of citizen science are necessary to quantify the contemporary requirements of species, and to predict their potential distributions. We therefore developed habitat suitability models for nine species of the kingfishers (family Alcedinidae) distributed broadly across Java. Each model evaluates species occurrence data derived from citizen science platforms. Species distribution models of each species were constructed using bioclimatic, physiographic, and hydrologic variables through the random forest machine learning model. The models showed moderate to high predictive performance, with AUC-ROC values ranging from 0.75–0.93 and cross-validated AUC values ranging from 0.74 to 0.92, indicating reliable discrimination ability across species. Annual rainfall, elevation, vegetation, and proximity to water bodies are key factors influencing the distribution of kingfishers. The study highlights that potential habitats for all the studied species are located across Java, extending beyond protected forest areas to most other types of land uses. Conservation efforts should focus on preserving critical habitat features and implementing landscape-level management strategies, particularly for endemic and rare species.
Flash Flood Susceptibility Mapping in Phuket Province, Thailand: An Integrated Geo-Information Technology and Logistic Regression Approach Katawut Waiyasusri; Parichat Wetchayont
Forum Geografi Vol. 39 No. 3 (2025): December 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i3.11904

Abstract

In the past 2 years, Phuket has experienced more frequent flash floods, resulting in significant damage to life and property for the people of Phuket. This research aimed to assess flash flood susceptibility using Geo-information technology (GIS) and logistic regression analysis in Phuket Province. The statistical results from the logistic regression analysis were subsequently processed using the geographically weighted regression method within GIS. The results of the study found that the factors with the most influence on flash flood occurrence were Topographic wetness index (TWI), Stream frequency (SF), Drainage density (DD), Infiltration number (IN), Slope, Distance to road, Mean annual precipitation, Elevation, Land use, Sediment transport index (STI), Stream power index (SPI), Distance to stream, and Geology, respectively. All these variables are shown from the exp β value coefficient, when compiled into a flash flood susceptibility map, it was found that very high flash flood susceptibility level covers an area of up to 43.40 km2 (8.04% of the total area). Most of it covers the areas along the major rivers of Phuket Island. The most obvious is the mountainous terrain with rivers flowing through it, the piedmont and intermontane plains in the northern part of Phuket, which is the Thalang District and Kathu Sub-district. The coastal plain landscape of the eastern part of Phuket Island also shows areas of very high flash flood susceptibility level scattered along major waterways in the Ko Kaew, Talat Yai, Talat Nuea, Wichit, Chalong, and Rawai sub-districts. However, the top three variables influencing flash flood occurrences in Phuket were the TWI, SF, and DD. This highlights the high susceptibility of the study area's coastal foothill regions to flash flooding, primarily due to their function as a confluence point for multiple stream branches. The findings of this research indicate that the TWI, SF, and DD are significant variables contributing to flash flood occurrences in terrains characterized by narrow coastal plains adjacent to major mountain ranges. The results of this research are to creat a flash flood risk map, intended to inform and enhance upcoming flood monitoring strategies.

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