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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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Peri-urbanisation in Surakarta City and Economic Transformation in the Fast-Growing Region of Sukoharjo Regency Wisnu Pradoto; Budi Setiyono; Hadi Wahyono; Mack Joong Choi
Forum Geografi Vol. 38 No. 2 (2024): August 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v38i2.5497

Abstract

The massive development of Surakarta City, a city with a strategic location, has caused a butterfly effect on its surrounding area. This research explores the economic transformation of Sukoharjo’s peri-urban, specifically in five districts, namely Mojolaban, Gatak, Grogol, Kartasura, and Baki, as the area adjacent to Surakarta City. A quantitative approach is employed with descriptive quantitative analysis techniques and scoring analysis. Primary data collection is based on the results of stakeholder’s interviews and field observations and secondary data gathered from government documents and literature review. The study results show that in the period 2000 – 2020, there has been economic transformation in Sukoharjo’s peri-urban area, especially the changes from rural to urban characteristics. The transformation can be indicated by the changes in population, livelihoods, agricultural land use, regional investment, and the number of emerging small and medium industries (SMIs) in each peri-urban region in the northern part of Sukoharjo. This research contributes a perspective on the unique characteristics of the diverse economic transformation driven by different patterns of land-use changes. It recommends that policymakers foster the roles of peri-urban areas in creating mutual development and sustainable urbanisation.
Integration of Texture and PCA Information from Sentinel-1 SAR Data for Land Cover-Analysis using Random Forest Classifier Method in Sidoarjo Regency, Indonesia Filsa Bioresita; Trisya Sayyidah Fithri Larastika; Muhammad Taufik; Noorlaila Hayati; Chelsea Alfarelia Putri Taslyanto
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.6045

Abstract

Land cover has an important role in modelling to spatially analyse natural phenomena that occur on the earth's surface. The identification of land cover can also be used to determine the availability of green space and the percentage of built-up land in an area. Through this information, it can help the government to formulate policies related to development planning in an area. Currently, land cover identification can be done with remote sensing technology, generally using optical imagery. However, there are obstacles when using optical imagery, namely, if the cloud cover in an area is thick enough, it will affect the accuracy of the land cover results. To anticipate this, land cover identification can be done using active or radar imagery, one of which is the Sentinel-1 GRD image. The active image is not influenced by clouds and can record information without being constrained by weather both during the day and night. Sentinel-1 GRD data contains backscattering information that can be extracted using texture analysis and Principal Component Analysis (PCA). The Random Forest classifier was employed early in this study to analyze Sentinel-1 data, enabling classification using various inputs. Land cover classification from several inputs, namely, sigma, gamma, and beta from backscattering data, resulted in overall accuracy of 86.154%, 87.692%, and 86.154%.
Modelling of Soil Erosion Susceptibility Using the Multi-Influencing Factor Method in the Amizmiz Basin, Morocco Saloua Agli; Algouti Ahmed; Algouti Abdellah; Farah Abdelouahed; Moujane Said; Abdelfattah Aboulfaraj; El ghouat Akram
Forum Geografi Vol. 38 No. 3 (2024): December 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v38i3.6263

Abstract

In the Western High Atlas of Morocco, soil loss caused by hydraulic erosion is a serious environmental issue that has led to the destruction of arable land and the feeding of surface water with large solid loads, resulting in major flood damage and the silting of dams. This study aims to identify areas vulnerable to hydraulic erosion in the Amizmiz watershed in the Western High Atlas to facilitate effective management of natural resources. The methodology adopted in this study is based on the multi-influencing factor (MIF) method coupled with remote sensing and geographic information system (GIS) data. The resulting erodibility map shows that areas with low to very low erosion potential represent 13% and 6% of the watershed, respectively, occupying the downstream and eastern parts of the basin, whereas 62% of the basin is classified as medium-risk. The remaining 19% of the watershed comprises high-risk areas, which are generally located in the axial and western zones. The validation value (AUC) obtained from the ROC curve is 0.78, confirming the sufficient predictive capacity of the MIF model for identifying areas vulnerable to hydraulic erosion in the Amimiz watershed.
Land Surface Temperature Retrieval from Landsat 9 Satellite Data in the Case of Injibara Town and the Surrounding Banja District, Awi Nationality Administrative Zone, Amhara, Ethiopia Minyichil Teshome Kassahun; Nigatu Amsalu Workineh
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.v39i2.6363

Abstract

Land surface temperature (LST) is crucial for various applications like agriculture, hydrology, urban planning, and climate analysis. Rapid urbanization and climate change have intensified LST variations, particularly in agriculturally dependent regions like Ethiopia, where temperature fluctuations directly impact livelihoods. However, localized LST dynamics in areas such as Injibara town and Banja District remain understudied, despite their sensitivity to climate variability and urban heat effects. This study addresses the gap by estimating LST using Landsat 9 data and analyzing its correlation with Normalized Difference Vegetation Index (NDVI). Landsat 9, launched in 2021, provides enhanced imaging capabilities and advanced sensors compared to its predecessors. Data from the United States Geological Survey (USGS) Earth Explorer website were processed using ArcGIS 10.8. LST was derived using the emissivity equation model incorporating land surface emissivity (LSE) and brightness temperature calculations. NDVI analysis revealed values ranging from -0.03 to 1, with high vegetation (0.35 – 1) concentrated in government and private forests in the northwest, while low vegetation (-0.03–0.15) dominated urban areas, barren lands, and unproductive regions in the south and southeast. The LST results indicated the highest temperatures (38-43°C) were in the northwest and southeast lowland regions, while the lowest temperatures (14-22°C) were in the central highlands. Approximately 40.8% of the area exhibited temperatures between 29-32°C. The study result revealed a negative relationship (R2=0.2506) between LST and NDVI, indicating that higher vegetation cover is associated with lower temperatures. To support regional climate resilience, we recommend integrating green infrastructure in urban planning, prioritizing afforestation in Banja’s lowlands, and expanding research to other Ethiopian agro-ecological zones using high spatial resolution data for comparative analysis.
Mapping Traditional Village Cultural Landscape Research: A Systematic Bibliometric Analysis Can Zhang; Massoomeh Hedayati Marzbali
Forum Geografi Vol. 38 No. 3 (2024): December 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v38i3.6367

Abstract

Traditional villages epitomise the rural cultural heritage, embodying historical, cultural, scientific, artistic, economic and social significance, and are worthy of preservation efforts. This study conducts a systematic bibliometric analysis to understand the knowledge structure, prevailing themes, and emerging research paths within the realm of traditional village cultural landscapes (TVCL) from 1992 to 2023. Drawing upon data from the Web of Science (WoS) Core Collection, we meticulously examined 830 articles and conference papers, employing VOSviewer and Citespace for comprehensive analysis. Our findings reveal a discernible upward trajectory in TVCL research and delineate three key components. Firstly, while countries like China and EU member states dominate TVCL-related scholarly output, an expanding cohort of nations is demonstrating burgeoning interest and influence in the field. Secondly, there exists a pervasive acknowledgement of the value and imperative of conserving TVCLs. Thirdly, recent efforts towards revitalising TVCLs have primarily centred on cultural, historical, and ecological dimensions, with a burgeoning exploration of sustainable local tourism pathways emerging as a pivotal trend for future development. By systematically scrutinising over three decades of publications, this study enriches our understanding of TVCL research and offers key insights to inspire future exploration in this evolving field.
Urban Violent Crime Dynamics in Kuala Lumpur and Putrajaya: Utilizing Spatial Temporal Techniques Mohd Sofian Redzuan; Tarmiji Masron; Adibah Yusuf; Syahrul Nizam Junaini; Yoshinari Kimura; Mohamad Hardyman Barawi; Mohamad Suhaidi Salleh; Ruslan Rainis; Azizul Ahmad
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.6456

Abstract

This paper investigates the patterns of violent crime in Kuala Lumpur and Putrajaya between 2015 and 2020 using advanced spatial analysis techniques, including Spatial Autocorrelation, Standard Deviational Ellipse (SDE), and Mean Centre (MC). The study analyzes the spatial distribution and temporal dynamics of violent crimes, tracks shift in crime hotspots and examines the influence of socio-economic factors on these patterns. Findings reveal that violent crimes predominantly occur in the late afternoon and night, with peak incidents at 3:00 PM (1,830 cases, 8.28%). The study highlights notable shifts in crime hotspots, initially concentrated in commercial districts and gradually expanding to transportation networks and emerging urban areas. The Moran Index values indicate a transition from a near-random pattern in 2015 (-0.002668) to a mild clustering in 2018 (0.032962). Additionally, socio-economic factors, including population density, economic conditions, and the COVID-19 pandemic, significantly impacted crime patterns, leading to changes in crime rates and hotspot locations. These findings are crucial for law enforcement and urban planning, emphasizing the need for adaptive crime prevention strategies that respond to evolving urban challenges, and demonstrating the importance of integrating socio-economic data into spatial crime analysis for comprehensive crime mitigation.
Exploring the Role of Population Dynamics in Surface Urban Heat Island Hotspots in Peri-Urban Dhaka Riffat Mahmood; Fuad Hassan; Umme Kulsum
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.6648

Abstract

This study investigates the hotspots of surface urban heat island (SUHI) in the peri-urban areas of Dhaka based on the nexus of population dynamics, urban expansion, and land surface temperature. The respective land use land cover (LULC) classification and land surface temperature (LST) estimation were derived for 2000 and 2022 using images from Landsat-5 and Landsat-8, respectively, by applying established equations. Urban growth and its relation to LST were estimated using the classification based on the random forest and normalised difference built-up index (NDBI). The latter are directly associated with economic activities. The results indicated increased LST over time with urban sprawl and population increase, and hotspots were typical in high male-dominated migration rates and highly dense industrial activity. This study gives insight into the sustainable approach to urban planning and managing populations through clarity on the prevailing relationships among population growth and urbanisation with changing temperature.
Analysis of Spatial Planning in Landslide Hazard Zones in Banyumas Regency, Indonesia Suwarno Suwarno; Erny Rachmawati; Mohd Hairy Ibrahim; Sutomo Sutomo; Aris Slamet Widodo; Sakir Sakir; Hercules Pungky Naga Dewa
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.6685

Abstract

Banyumas Regency is an area that with a high potential for landslide hazards. These pose a serious threat to spatial planning. This research aims to analyse land use in landslide-prone areas; to compare spatial planning strategies in the region; and to offer recommendations for effective spatial planning to reduce landslide risks. The application of a physical approach, incorporating ten parameters to assess landslide hazard levels, can be considered to be optimal. The research findings have significant implications for spatial planning and disaster risk management in Banyumas Regency. The analysis results indicate that certain community activity areas, such as residential, tourism and industrial zones, are located in areas with low to moderate landslide hazards. This demonstrates that the regency prioritises disaster risk considerations in land utilisation planning. The research has several limitations, including the lack of data validation and historical landslide data in Banyumas Regency concerning landslide hazard assessment. In addition, the study only focuses on landslide hazard areas in the central community activity zone, but does not include residential areas in other designated zones.
Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics T V Ramachandra; Paras Negi; Tulika Mondal; Bharath Settur
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.v39i2.6857

Abstract

The burgeoning population, coupled with the resource demand and alterations in the climatic regime, have been posing serious challenges for the sustenance of natural resources. Natural Resource Rich Regions (NRRRs) are areas endowed with abundant natural resources, which maintain ecological balance and economic activities. These regions are pivotal for supporting the livelihoods of local communities by providing essential ecosystem services and resources. However, land degradation leading to deforestation due to unplanned developmental activities has escalated the carbon footprint, aggravated the vagaries of the climate, and posed significant challenges, especially for communities reliant on fragile, arid, and semi-arid ecosystems. The nexus of socio-economic disparity, persistent poverty, and unplanned developmental activities often poses severe challenges for realizing full economic potential with environmental sustainability. Land use (LU) changes with urbanization and agricultural expansion, leading to fragmentation, habitat loss, decline of native species, and disruption of ecological processes with a potential decline of biodiversity. The arid region in the northern part of Karnataka, located in Southern India, has been experiencing a sharp decline in the groundwater table due to frequent droughts and excessive groundwater extraction. The current study unveils actionable solutions for sustainable management of natural resource-rich regions by meticulously analyzing the nexus between rapid development, LU modifications, and their subsequent environmental ramifications. LU transitions are quantified using temporal-spatial data acquired through space-borne sensors through supervised machine learning classifiers based on the non-parametric algorithm Random Forest (RF). Land use dynamics assessment reveals that paved surfaces (area under buildings, roads) have increased from 186.22 sq. km (in 1973) to 1085.12 sq. km (in 2022). The study area has degraded forest patches, and the estimation through fragmentation metrics reveals that the intact forest has shown a decline from 3252.39 sq. km (1973) to 1508.12 sq. km (2022). The forests have continuously decreased from 2,154.20 sq. km (1973) to 1,096.34 sq. km (2022). In Northern Karnataka, the prioritization of NRRRs highlights the status of resource availability, with highly resource-rich zones represented by NRRR1 (67 grids) and NRRR2 (127 grids), followed by NRRR3 (304 grids) with moderate resource potential, and NRRR4 (522 grids) encompassing areas with comparatively scarcer resources. The prioritization of natural resource-rich regions emphasizes the need for prudent land management strategies, with holistic and integrated approaches considering social, economic, and environmental issues with degrees of sensitivity across arid regions.
The use of emergency medical services (EMS) data to map violence: A case study in Nairobi, Kenya Polive Okode; Gregory Breetzke
Forum Geografi Vol. 39 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v39i1.7199

Abstract

This study investigates the use of emergency medical services (EMS) data as an alternative source for map-ping and understanding violence in Nairobi, Kenya. Given that many crimes go unreported, relying solely on police data can create an incomplete picture of violence hotspots. Using social disorganisation theory as a theoretical framework, this study uses EMS data from fifteen hospitals across three Nairobi sub-counties to map violence and analyse its spatial patterns. A spatial regression model was employed to assess the influ-ence of five social disorganisation variables—unemployment, education, gender, residential mobility and youth demographics—on violence rates, disaggregated by gender. The findings suggest that unemployment is positively correlated with violence, particularly among females, while a higher percentage of youth is un-expectedly associated with lower violence rates. The study demonstrates the value of EMS data for crime mapping in contexts with high levels of unreported crime and offers insights into the spatial distribution of violence in Nairobi, advancing understanding of alternative crime data sources in African urban settings. This approach highlights the utility of EMS data for informing more targeted violence prevention strategies in regions where traditional crime data are limited.

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