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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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Assessing Survey Data to Study Traffic Flow Characteristics: An in-depth analysis of King Fahad Road, Al-Ahsa, Saudi Arabia Md Kamrul Islam; Abdulaziz Ibrahim Mohammed Al-Muaybid; Muath Fahad Abdullah Al-Saqer; Mohammed Saleh Rashid Al-Nagada; Khaled Saleh Abdulaziz Al-Newaihel; Rocksana Akter; Muhammad Aniq Gul; Muhammad Muhitur Rhaman; Ziad Shatnawi
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.v38i2.4629

Abstract

Traffic volume studies are crucial for understanding vehicle quantity, movements, and classifications at specific sites. This study aims to establish a correlation between flow rate and density, providing in-sights into traffic flow characteristics such as density, velocity, and flow, essential for effective road design. The proposed method combines automated (mobile phones and cars) and manual counts on separate sheets, offering a compelling alternative to traditional traffic study methods. The collected da-ta can be utilized for various purposes including estimating fuel consumption, road pricing, road user cost, and planning road network improvements. Acquiring precise traffic data using cost-effective, low-tech solutions is vital for comprehending urban traffic dynamics. Evaluating collected data, which encompasses traffic parameters like flow, density, and speed, is crucial for informing urban road de-sign and planning. For instance, traffic flow indicates throughput, density reflects traffic conditions, and speed is essential for calculating travel times. This investigation focused on King Fahad Road in Al-Ahsa, Saudi Arabia, chosen among three alternative urban roads based on varying traffic condi-tions. Smartphones and cars were used to collect traffic data during weekday evening peak hours, ana-lyzing the interrelation between traffic flow, density, and vehicle speed. Manual traffic counts were conducted to determine measured density and speed, which were then used to estimate calculated den-sity. Additionally, a statistical t-test was performed to validate measured density against calculated den-sity at a 5% significance level. The data collection systems utilized in this research provide a cost-effective solution, considering capital, operational, and maintenance expenses, while remaining por-table and non-intrusive to road users during surveys. These characteristics make the system a practical choice for implementation in developing nations where resources are constrained, rendering costlier al-ternatives economically unfeasible.
A GIS-Based Analysis of the Public Open Space Distribution and Accessibility in Gurugram City, India Asmita Kanav; Jitendra Kumar
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.v38i2.4759

Abstract

The rapid pace of urbanization and increasing urban density in India has led to critical concern about the sustainability and livability of urban environments. In the city of Gurugram, public open spaces (POS) like parks and playgrounds are limited, highlighting the problem regarding their availability and accessibility. This study analyzes the current distribution of POS in the city of Gurugram at the ward level and compares the existing situation with national planning guidelines. It also aims to identify the population served by POS and the areas deficit in POS provision. The analysis reveals a deficit in per-capita POS at the city level, which stands at 3.14 m2 and shows high variability across different wards. A significant gap in the provision of housing area and neighborhood level POS was observed. The accessibility index calculated using Geographic Information System (GIS) based network analysis, reveals uneven access patterns across the city, with five wards lacking POS accessibility for residents, located primarily in central and southern-central areas. None of the wards of the city had all of its area serviced by POS, and only six wards had above 50 percent of the population residing in area serviced. These findings emphasize the need for strategic interventions to ensure universal access to POS, aligning with the sustainable development goals for urban areas.
Analysis of Smart Village Development in Supporting Smart City in Indonesia: A Systematic Review Anindya Puteri Eka Susilowati; Rini Rachmawati; R. Rijanta
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.v38i3.4790

Abstract

Along with the enactment of the Law of Village in 2014, village development is a top priority on the national development agenda in Indonesia. Village development through the implementation of smart village is thought to be significant given the current state of technology’s rapid expansion. Smart village refers, generally speaking, to the implementation of the smart city idea inside the village borders. This study analyzes the concepts developed in the relationship between smart village and smart city based on a systematic literature review, compares how smart village are implemented to support smart city in various Indonesian regencies, and offers policy alternatives in the form of smart village dimensions that are more appropriate for Indonesian village conditions. Systematic literature review is used as the method for this research, with data collected from the Scopus journal database. The analysis is enriched with empirical findings based on local government policies governing smart village. The results showed that smart village development in Indonesia tends to be top-down with the initiation coming from the central and local governments. It is important to implement smart village that are in line with smart city in order to foster relationships between the two, promote village independence, and assist the smart city implementation in a complementary manner by integrating digital services and bolstering the local economy. The recommended smart village dimensions to support smart city in Indonesia consist of community, technology, institutional, and potential village resources.
Grouping Land Cover Using Orthophoto in Small Islands: An Application of Low-Cost UAV on Mansinam Island Francine Hematang; Agustinus Murdjoko; Francina Kesaulija; Jonni Marwa; Antoni Ungirwalu
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.v38i2.4870

Abstract

Land cover is crucial for island management, but the lack of accessible and high-resolution remote sensing data has reduced investigations on small islands, including land cover identification. Therefore, this study aimed to investigate land cover using Unmanned Aerial Vehicle (UAV) technology, providing very high-resolution images. Classification and delineation were conducted using automatic segmentation followed by manual reinterpretation and visual verification. The results showed 14 cover classes, consisting of 8 vegetated and six non-vegetated categories. Forest cover on Mansinam island accounted for 75.5% or 302.4 ha, which was evenly distributed. Furthermore, primary forest covered 31.91% or 127.74 ha, and secondary covered 43.63% or 174.68 ha. The classification achieved an overall accuracy of 96% and a kappa coefficient of 0.94. Low-cost UAVs effectively produced high-resolution aerial images of small islands for land cover identification. Therefore, future studies were recommended to consider whether segmentation can reliably distinguish between primary and secondary forests, as well as assess the impact of flight altitude on segmentation accuracy using ground control points. The results were also expected to support spatial planning or sustainable forest and environment management on Mansinam Island.
3D Map Application on Cave Geosites in Relationship of Cave Morphometry and Surface Geomorphology in Karst Areas at Ngalau Basurek Cave, Silokek Geopark Dipo Caesario; Bigharta Bekti Susetyo; Weni Kurnia Sari; Wahyu Budhi Khorniawan; Ridwan Ridwan
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.v38i2.4992

Abstract

On 2 January 2018, the local government proposed Silokek, a region in the Sijunjung Regency, West Sumatra Province, Indonesia, as a geopark, based on district rule number 188.45/3/KPTS-BPT-2018. This arrangement was based on the idea that a geopark would provide tourist destinations with natural tourism and archaeological, environmental, historical, educational, and cultural components in addition to geology, making this place an indirect example of a complex tourist destination. The Ngalau Basurek Cave is a geosite in this area that is a well-liked tourist destination, although it does not yet have a useful and instructive cave morphometry map. Producing cave morphometric data using the compass and step mapping method and geomorphological analyses of Landsat 8 image data is suggested to identify patterns of relationships with surface karst morphological features. A northeast dip angle trend was visible in the fresh limestone of the Kuantan Formation, which formed cave features as a result of dissolution. The dolinas, uvalas, and cone–kart features, which are represented on topographic maps (DEM-SRTM), demonstrate comparable trends. Dip-angle and strike-line trends were used to obtain a complete relationship between cave morphometry and surface geomorphology in Silokek Geopark.
Assessment of Low-Cost Tide Gauges to Meet GLOSS 1-cm Precision and Accuracy Standards: A Case Study on Pramuka Island, Indonesia Zulfikar Adlan Nadzir; Irdam Adil
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.v38i2.5182

Abstract

The expansion of the tide gauge network along the coasts is essential for better monitoring of sea-level dynamics. Owing to climate change, the urgency has been exacerbated, especially during the last two decades. However, densification a challenging task because of the lack of affordability of the sensor, especially in the Global South. Further, the precision and accuracy requirements of 1-cm imposed by the Global Sea Level Observing System (GLOSS) is too restrictive, particularly for low-cost tide gauge sensors. Here, we evaluated the performance of a low-cost DIY tide gauge in meeting these standards. Three sets of sea level observations from IR-TIDES, a DIY tide gauge sensor observed in 2016 and 2018, were subjected to a performance test in terms of precision and accuracy in comparison with a global tide model and two neighbouring established tide gauges. All three datasets were estimated to have an 8- cm standard deviation as a metric for the precision level. In terms of accuracy, the IR-TIDES datasets had a standard deviation of 25 cm and a correlation coefficient of 0.616. Overall, IR-TIDES demonstrated sufficient precision while still lacking accuracy, partially meeting the GLOSS quality standard. These findings could strengthen the confidence level of a low-cost DIY tide gauge, especially for use as a back-up and redundant sensor for an established tide gauge station after ad-dressing the limitations.
Enhancing Urban Livability in District 22 of Tehran: A Study on the Impact of Efficient Fuels Using Fuzzy Delphi and Cross-Impact Analysis Methods Majid Akbari; Atefeh Fuladi; Ali Shamsoddini; Kamran Jafarpour Ghalehteimouri; Hamed Bidel
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.v38i3.5185

Abstract

Urban livability is a crucial measure of sustainable urban development. This study aims to analyze the factors influencing the livability of Tehran's 22nd metropolitan area using the Human City approach, the Fuzzy Delphi method, and structural analysis. Theoretical data was collected through documentary research, while experimental data was gathered through surveys using the Delphi technique. A total of 20 urban experts were sampled, and 41 propellant forces across five dimensions were identified. These propellants were categorized into economic, social, cultural, physical, environmental, managerial, and legal factors. The data was analyzed using Fuzzy Delphi and Cross Impact Analysis Methods in MICMAC software. The results revealed significant relationships among key propellants, indicating their strong influence. The analysis also showed a complex and interconnected network of propellant forces, with some clustering in specific areas. Seven key factors were identified as crucial for improving Job opportunities, Citizen participation, Public transport, Affordable housing, Public spaces, Walkability.
Impact of COVID-19 on Subjective Well-being and Community Im-portance-Performance in Sanitation Programs in Jakarta, Indonesia Evi Siti Sofiyah; Betanti Ridhosari; Sapta Suhardono; Chun-Hung Lee; I Wayan Koko Suryawan
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.v39i1.5366

Abstract

This research investigates the critical impacts of the COVID-19 pandemic on subjective well-being and evaluates community responses to sanitation programs within three urban villages in Koja, Jakarta. Utilizing Importance-Performance Analysis (IPA), the study comprehensively assesses community perceptions and engagement levels with key sanitation aspects including access to defecation and treatment, treatment quality, aesthetic quality, monitoring practices, and socialization efforts in drainage and treatment. Advanced statistical models, such as probit and logit regressions, are employed to explore how demographic variables like housing stability, gender, and active involvement in community-based sanitation programs influence these perceptions and actions toward sanitation. The findings reveal significant disparities in satisfaction levels with existing sanitation services, pinpointing areas such as monitoring and treatment services that are critically underperforming and require immediate improvement. This study highlights the urgency of addressing these issues in the face of the ongoing pandemic, reflecting on the novel insights into the complex dynamics between demographic factors and the effectiveness of sanitation programs. Our approach aims to elevate the standard of sanitation services to enhance the resilience and well-being of urban communities against the multifaceted impacts of COVID-19. These strategic improvements are vital for sustaining public health and promoting a safer, healthier living environment in densely populated urban areas, where effective sanitation is crucial for mitigating health risks and enhancing public safety.
Assessing the Reliability of Predicted Decadal Surface Temperatures in Southeast Asia Dara Kasihairani; Rahmat Hidayat; Supari Supari
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.v38i3.5402

Abstract

Climate predictions spanning 10-year periods, known as Decadal Climate Predictions (DCPs), have become an important aspect of the latest Coupled Model Intercomparison Project (CMIP6). These DCPs have the capability to capture the El Niño-Southern Oscillation (ENSO) phenomena, which affects heatwave frequency in Southeast Asia over years to decades. This research assesses the ability of six General Circulation Model (GCM) DCPs to predict surface temperature over the Southeast Asian region, using the dcpp-A hindcast as the main product. The metrics of Anomaly Correlation Coefficient (ACC) and Mean Error (ME) are employed to assess the model outputs, with 51 hindcast datasets spanning initial years from 1960 to 2010 and ERA5 reanalysis data serving as the reference. The evaluation reveals that DCP model skill varies across lead times and subregions, with no single model consistently outperforming the others. The highest correlation values are observed during the September-October-November (SON) season, and the ENSEMBLE model demonstrates the ability to increase correlation values compared to the individual DCP models. However, the ENSEMBLE approach is unable to effectively reduce ME values due to the contrasting errors among individual models. PBIAS metric aligns with the ME, consistently identifying similar areas of underestimation (mainland) and overestimation (maritime continent) across the models. Despite these challenges, the evaluation results highlight the potential of DCPs in predicting surface temperature variability for the Southeast Asian region over decadal periods, particularly in capturing ENSO-related signals. Further improvements in model initializations, internal variability representation, and bias reduction are necessary to enhance the utility of CMIP6 decadal predictions for heatwave preparedness and mitigation strategies in this vulnerable region.
Analysis and Geovisualization of Tsunami Hazard and Evacuation Routes in the Opak-Progo Coastal Area Sudaryatno Sudaryatno; Josaphat Tetuko Sri Sumantyo; Taufik Hery Purwanto; Muhammad Falakh Al Akbar; Amelia Rizki Gita; Osmar Shalih
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.v38i2.5436

Abstract

The southern coastal area of Java has a high risk of tsunamis. Additionally, the presence of rivers flowing in the south of Java Island poses a greater tsunami threat because these rivers can act as "toll roads" for tsunami waves to enter the land. Therefore, this study was conducted in the coastal area of the Opak-Progo watershed to determine the level of tsunami hazards and plan effective evacuation routes. The hazard map was created using the Berryman method, which employs parameters such as slope, surface roughness coefficient, coastline, and tsunami run-up height scenario; a 3-metre scenario was used in this study. Network analysts also determined evacuation routes using the nearest facility method. Network analysis was used to identify an optimised route with four evacuation sites. This research has the potential to significantly contribute to tsunami mitigation and evacuation planning in the coastal areas of the Opak-Progo watershed.

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