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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University
Arjuna Subject : -
Articles 9 Documents
 1 
Search results for , issue "Vol 12, No 2 (2025): Article In Progress" : 9 Documents clear
Deep Learning for Coastal Erosion Assessment: Case Study of Vietnam’s Coastal Regions Nguyen, HongGiang; Tran, HuuBang
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Vietnam’s coastal erosion has experienced a significant increase cause climate change and anthropogenic factors over the past decade. However, a holistic study combining these factors remains limited. This study intends to analyze the trends of coastline erosion, identify the factors that drive it, and utilize deep learning algorithms to estimate the erosion risk in the future. The National Centre for Hydro-Meteorological Forecasting of Vietnam, Open Development Mekong, and Landsat 8 OLI/TIRS satellite pictures taken between the years 2016 and 2022 are the sources of data for the study over the 52 erosion prone locations across Vietnam’s coastlines. The significant environmental factors for the model are the height of tides, waves, storm intensity, soil porosity, high monsoon rainfall, sea level rise, temperature, and coastal geomorphology. A Pearson correlation analysis indicates the strongest correlation between storm intensity, wave height, temperature alongside a strong negative correlation of tidal height with rainfall and coastal slope. Accuracy of the forecast was performed with five models: Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM), Bidirectional Long Short-Term Memory Network (BiLSTM), Bidirectional RNN (BiRNN), and Hybrid RNN_LSTM. Among the tested models, the Hybrid RNN_LSTM outperformed others, achieving R_squared (R²) and a correlation coefficient (CC) to gain 0.77 and  0.91, respectively, at the same time, the study emphasized monsoon winds, storms intensity, and tidal height as the most impactful parameters. These findings can announce data-driven policy and management strategies for coastal resilience. Further research should consider the effect of anthropogenic activities and modifications of land use in order to increase the scope and precision of these models concerning the eroding areas of the globe.
Empirical evidence of environmental degradation using geospatial technology in Tasik Temenggor, Royal Belum Perak, Malaysia Salleh, Siti Aekbal; Kamaruzzaman, Kamilia
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Freshwater lakes are vital ecosystems that play a crucial role in maintaining biodiversity, providing essential ecosystem services, and supporting human well-being. Nevertheless, Tasik Temenggor's ecosystem faces severe pressure from human activities such as land reclamation, habitat deterioration, and eutrophication. However, these complex interactions remain poorly understood. Thus, this study aims to identify the factors associated with environmental degradation, specifically focusing on climatic and meteorological parameters as well as analyze their temporal changes through a spatio-temporal analysis. The objective of this study is i) to identify significant variables, ii) to quantify the factors of environmental degradation and iii) to determine environmental degradation with spatio-temporal analyses. This study was carried out after defining the research questions and objectives and completing systematic literature review to find the significant variable for the study. Spatial data such as NDVI, LST, LULC and water quality were produced through image pre-processing and supervised classification. Subsequently, environmental datasets were combined, weights were assigned to variables using Principal Components tools in ArcGIS Pro, and the Weighted Overlay Analysis tool was used to create maps of environmental degradation. The results were analyzed, producing maps that show the level of environmental degradation in Tasik Temenggor over the years. The final output shows variations in the surrounding environment, with 2015 presenting primarily ‘Very Good’ conditions, indicating minimal degradation. Additionally, there were develops in ‘Good’ regions and moderate decline in other areas in 2020. Finally, while ‘Very Good’ conditions persisted, rises in the ‘Poor’ and ‘Very Poor’ categories indicated local degradation, particularly in developed and barren land areas for 2024. To conclude, this study demonstrated the application of geospatial technology in monitoring and assessing environmental degradation in Tasik Temenggor. The developed methodology can be used in similar studies, offering a comprehensive understanding and management of environmental conditions and sustainability.
Urban Flood Susceptibility Analysis Using Multi Criteria Decission Analytical Hierarchy Process (AHP) Method: Case Study of Bandung City Agustina, Rena Denya; Putra, Riki Purnama; Susanti, Seni; Setyadji, Agustinus Bambang; Virtriana, Riantini
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Flood is one of the natural disasters and is supported by bad human habits, of course, this disaster can cause enormous losses, which can take lives. Flood handling certainly requires proper analysis before handling is carried out. Various methods for mapping flood susceptibility can be done, one of which is using the AHP Multi-Criteria Decision method which is considered the most up-to-date and very accurate method in terms of accuracy. This study aims to map the susceptibility of flood hazard in urban areas, especially in the city of Bandung with the help of satellite imagery. The method in this study uses the AHP Multi-Criteria Decision method, where five experts are needed to carry out an assessment in determining the variable weight value, with the variable in question namely; (1) TWI; (2) Elevations; (3) Slopes; (4) Precipitation; (5) Land Cover; (6) NDVI; (7) Distance from Rivers; and (8) Distance from Roads. In addition, this study validates the results of the mapping by comparing the real events of flooding in the city of Bandung in 2002-2022 with the map of the susceptibility of flood hazard in the city of Bandung. The results obtained in this study are flood hazard susceptibility maps created well with validation of 80.2%. In addition, areas that are very at hazard of being affected by flooding are the East Bandung area (Mandalajati, Ujungberung, Cibiru, Gedebage, and Panyileukan) with a high hazard of over 75%, and an extreme hazard of above 0.1%.
Extended Continental Shelf under UNCLOS 1982: A Comprehensive Analysis of State Submissions Taftazani, Muhammad Iqbal; Arsana, I Made Andi; Widjajanti, Nurrohmat; Schofield, Clive
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Every coastal state holds sovereign rights over the continental shelf that can go beyond 200 nautical miles (M) measured from baselines. This is commonly known as an extended continental shelf (ECS). However, these rights of ECS must be scientifically proven by meeting specific criteria governed by Article 76 of the United Nations Convention on the Law of the Sea (UNCLOS) 1982. Scientific survey activities play a crucial role in meeting such criteria. The results of these surveys are then submitted to the United Nations Commission of the Limits of the Continental Shelf (UN-CLCS) for review. To date, 95 applications for ECS have been submitted. This article comprehensively analyzes 34 applications, providing insights into the criteria for submitting applications for ECS and highlighting the significance and impact of the coastal state's scientific survey activities.
Spatial Upgrading of Riverbank Slums towards Sustainability of Watershed Infrastructure Mukaromah, Hakimatul; Permana, Chrisna T; Sa'adah, Zumrotus
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Due to the restricted availability of land for urban settlements, riverbanks are frequently the preferred location for the establishment of slums or squatters. As part of the primary drainage system in urban areas, the expansion of slums or squatters along the watershed can diminish the capacity and sustainability of the drainage system's supporting infrastructure (parapet embankment, water pump, etc.). It is envisaged that the upgrading of slum settlements on riverbanks will not only enhance livelihood levels but also contribute to the watershed's sustainability as primary drainage. The research study area is located in Kampong Mojo, one of the pilot projects for slum upgrading settlements located on the banks of the Bengawan Solo River. This article seeks to determine how slum upgrading and infrastructure can contribute to the sustainability of the Bengawan Solo watershed’s supporting infrastructure. In this study, qualitative and spatial analysis were utilized, with data support provided by field observations, interviews, and document research. Furthermore, data and information will be analyzed in three stages: 1. mapping the land use change of infrastructure and settlement along the river; 2. identification of settlement riverside upgrading models; and 3. analyzing the relevance of settlement planning on the sustainability of the watershed infrastructure. The findings of this study indicate that, for a river to function ideally as main drainage and flood control, the development of watershed-supporting infrastructure must be encouraged by structuring land use along the river and strengthening the community's capability within.
Classification and Monitoring of Kahayan River Riparian Zone Settlement Expansion Utilizing Satellite Imagery to Prevent Environmental Damage Sutrisno, Herwin; Susi, Theresia; Hartanto, Singgih; Perkasa, Petrisly; Supriadi, Benong; Mantana, Handri
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

As the population increased in places near the Kahayan River, which were predominantly covered with dense vegetation, deforestation occurred. This phenomenon arises due to the exponential expansion of human settlements, leading to a decline in the overall condition of the natural environment and hastening the process of soil erosion. Human activities such as deforestation and mining can exacerbate soil erosion along river banks, heightening the likelihood of floods and causing harm to river ecosystems. Riverbank settlements are susceptible to flooding, particularly during periods of high rainfall. Floods have the potential to devastate residential and commercial structures, resulting in substantial financial losses. This study employs a guided picture classification technique that entails extracting land cover information from data obtained through visual interpretation. Next, the technique of spatial data analysis is employed to generate a map illustrating the changes in land over a span of 10 years. This is achieved by merging land use maps from the years 2014, 2016, 2018, 2020, and 2023. The objective of this study is to establish the correlation between constructed settlements and deforestation in the riparian zone of the Kahayan River, specifically in Palangka Raya City. In order to accomplish this, the process involves utilizing high-resolution imagery and employing a Geographic Information System in conjunction with periodic satellite image categorization techniques.
Spatial Classification of Sentinel-2 Satellite Images with Machine Learning Approach Nursidah, Dea Ratu; Fauzan, Achmad; Setya Adhiwibawa, Marcelinus Alfafisurya
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

This study aims to classify buildings and non-buildings from Sentinel-2 Satellite Images using a Machine Learning approach. The limitations of the machine learning method for classification used in this study are the Support Vector Machine (SVM), Logistic Regression (LR), and Decision Tree (DT) methods. The three methods' results are compared to find the best method in the classification process. Furthermore, the proportion between buildings and non-buildings around Universitas Islam Indonesia was calculated from the best method’s results. The results are in the form of a classification with four indicators, namely the level of accuracy, sensitivity, specificity, and Area Under the Curve (AUC). We found that the best performing method in this study is the SVM method based on the average accuracy results, the smallest average variance difference in the variance of training and testing data, and three other indicators from the number of iterations accomplished. In the density proportion, we concluded that the closer the distance to UII campus, the greater the percentage of buildings. As for non-buildings, the farther from the center point, the higher the rate of non-buildings
Integration of AHP and GIS to derive Walkability Index for Women to Access Rail-Transit Station Nazri, Nur Intan Marlissa; Naharudin, Nabilah
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

This study utilizes Geographic Information Systems (GIS) and the Analytical Hierarchy Process (AHP) to develop a walkability index for women accessing rail transit stations. By integrating spatial analysis and multi-criteria decision-making techniques, it addresses key factors such as accessibility, comfort, traffic safety, and attractiveness from a gender-specific perspective. The research aims to identify barriers women face in accessing public transportation and provide actionable insights for urban planning. Expert and public input were gathered to determine the weightage of criteria influencing walkability. Pairwise comparisons through AHP ensured consistent weighting, while GIS was employed to map and analyze walkability indices. The findings emphasize the need for inclusive urban planning that considers women's unique safety and mobility concerns, offering recommendations for tailored policy interventions. The study demonstrates the effectiveness of GIS and AHP in evaluating walkability, incorporating physical and social dimensions to reflect women’s needs in urban environments. Recommendations include integrating real-time data, engaging diverse groups through surveys and focus groups, and expanding the model to other demographic groups. The research highlights the role of enhanced walkability in promoting mobility, increasing public transit use, reducing congestion, and improving public health. Future studies should refine methodologies, incorporate dynamic data, and broaden assessments to ensure equitable and sustainable urban development. This approach underscores the importance of addressing gender-specific needs to create safer, more accessible, and inclusive cities.
Modelling spatial-temporal wildfire susceptibility using geospatial techniques over Table Mountain Nature Reserve, South Africa Nujjoo, Syed Tanweer Raza; Odera, Patroba Achola
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Mountains in Cape Town are generally highly susceptible to wildfires due to the hot-dry summer months and various climatological factors that could aggravate the situation. In fact, the Cape Floral Kingdom of Table Mountain National Park is categorised as the world’s hottest floral hotspot. This study has utilised geospatial techniques to model spatial-temporal wildfire susceptibility over the Table Mountain Nature Reserve (TMNR) from 1978 to 2022 at a nearly 10-year interval epoch. This is achieved by first mapping and categorising influential factors such as land use/land cover, aspect, temperature, slope, normalised difference vegetation index, precipitation, elevation, and wind speed. The categorised layers are then weighted and numerically integrated to determine wildfire susceptibility (WS) levels based on wildfire susceptibility index (WSI) over the TMNR. Results show that low WS occurred only in 1978, 1991 and 2014 with area coverage at 0.1% 0.01%, and 0.6% of the total area of TMNR, respectively. All the epochs contained moderate WS (24.5%; 24.8%; 4.4%; 32.6%; 4.0%), high WS (67.2%; 70.3%; 73.4%; 63.2%; 77.0%) and very high WS (8.2%; 4.9%; 22.2%; 3.6%; 19.0%) for 1978, 1991, 2002, 2014, and 2022, respectively. In general, results indicate increasing wildfire susceptibility over TMNR, with the northern and western parts being the highly susceptible areas.

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