bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Land Cover Change in Karanganyar District in 2013 and 2022 Based on Story Maps
Authors: Jannah Z. M. , Taryono T. 
Published: July 2024

Abstract
Land use change is influenced by human activities that affect the land cover of an area. Most of the Karanganyar Regency area is still agricultural land and as the population increases from year to year, it has an impact on land conversion. The purpose of this study is to analyze land cover changes in Karanganyar Regency in 2013 and 2022, analyze the factors that influence land change, and present information on land cover changes using Story Maps. The research method used qualitative descriptive analysis with the Maximum Likelihood Classification method and the results tested for accuracy were obtained from the Kappa method. The results showed that land cover change from 2013 to 2022 was dominated by residential land and paddy fields as much as 11946.10 ha or 14.87% and 14777.35 ha or 18.40%. Factors of land cover change are population growth, relatively cheap land value, easy accessibility, and easy licensing mechanism for infrastructure development. The land cover of Karanganyar Regency from 2013 to 2022 is represented in Story Maps, displaying maps and analysis with an attractive and interactive display.
Multitemporal Analysis of the Relationship Between Vegetation Density and Built-Up Land to the Urban Heat Island Phenomenon in Cirebon City
Authors: Isnanto Yunan Akhmad , Priyana Yuli 
Published: July 2024

Abstract
The attractiveness of Cirebon City as a target for urbanization lies in its strategic location and significant development, particularly in tourism, the service industry, and culture. As a result, vegetation has been transformed into urban development, leading to a subsequent rise in land surface temperatures and causing the Urban Heat Island (UHI) phenomenon. UHI is prevalent in urban areas and diminishes in peripheral regions. This research aims to investigate the correlation between vegetation density and built-up areas to the UHI phenomenon in Cirebon City, utilizing Landsat-8 data for the years 2014 and 2023. Normalized Difference Built-Up Index (NDBI) is used to identify built-up areas, vegetation density is identified with the Normalized Difference Vegetation Index (NDVI) algorithm, and Land Surface Temperature (LST) data is obtained from thermal band extraction. The results of the LST analysis were used to describe the Urban UHI phenomenon. Findings throughout the study period revealed significant changes in built-up land and vegetation density, while dynamic changes occurred in LST and UHI. The results also show that there is a positive correlation between the built-up land index and UHI, which indicates a unidirectional relationship. Meanwhile, the vegetation density index to UHI is negatively correlated, which means it shows an inverse relationship.
Analysis of Vegetation Density Changes on Coastline Changes in the Glagah Coastal Area, Kulon Progo Regency 2018 and 2023
Authors: Kusumaningrum E D , Saputra A , Nurwijayanti A 
Published: July 2024

AbstractThe construction of Yogyakarta International Airport, which is only 400 meters from Glagah Beach, means that the Kulon Progo Regency Government must pay more attention to guarding the coastline, so that abrasion does not reach Yogyakarta International Airport and the surrounding settlements. The objectives of this research are (1) to identify changes in vegetation density, (2) to identify changes in coastlines, (3) to analyze the relationship between the two in the Glagah Coastal Area, Kulon Progo Regency in 2018 and 2023. The method used in this research is integration between remote sensing and geographic information systems. Remote sensing is used to obtain the Normalized Difference Vegetation Index (NDVI), while the geographic information system is used to analyze shoreline changes using Digital Shoreline Analysis System (DSAS) tools. Based on the 2018 NDVI values, it is known that the area of non-vegetation is 28.2 Ha, low vegetation is 35.2 Ha, medium vegetation is 22.2 Ha, and high vegetation is 26 Ha. The area of each ndvi class in 2023, namely non-vegetation 20.3 Ha, low vegetation 38.2 Ha, medium vegetation 37.9 Ha, and high vegetation 17.7 Ha. The largest amount of abrasion along the Glagah coastline occurred in Sindutan Urban Village, reaching - 56.43 meters and the largest accretion occurred in Jangkaran Urban Village, reaching 65.64 meters. The results of linear regression (0.256) and F test (0.172) show that there is no influence between changes in vegetation density on changes in coastlines in the Glagah coastal area. Even though the results show there is no correlation between vegetation density and changes in coastlines, the role of vegetation is very important in preventing abrasion.
Analysis of Mapping the Potential Location of Biodiversity Parks (KEHATI) In Tegal Regency in 2023
Authors: Susanto H. N. , Sunariya M. I. T. , Taroyo  
Published: July 2024

Abstract
Tegal Regency has a dry air temperature and and land. To overcome these problems, the construction of a Biodiversity Park that will have a function to be able to store rainwater and make the land green. The purpose of this study was to analyze the location recommendations of Biodiversity Park in Tegal Regency and analyze the suitability of land for Biodiversity Park in Tegal Regency. The method used was overlay and slope classification. The results of this study are the results of the study in the form of a map of biodiversity park benchmarks made by the presence of benchmarking in the research area and a map of land suitability of Biodiversity Park with the existence of blocks. Based on Figure 3, the area for the biodiversity park has been divided into 3 zones, namely the core zone (Block 1), the tourist collection zone (Block 2), and the production zone (Block 3). There are 14 stakes that have been placed during direct fieldwork and guided by the land cultivation map from the Tegal Regency Youth, Sports and Tourism Office. The results of the measurement by digitizing the Biodiversity Park has an area of approximately 10 hectares.
Micro Hydro Power Site Characterization in Indonesia: Variable Optimization for Site Selection Using GeoDetector and RFE-Random Forest
Authors: Auliyani D , Setiawan O , Nugroho H Y S H , Wahyuningrum N , Hardjo K S , Videllisa G A , Insani A F , Lailiyya L N , Istiqomatunnisa  , Ardiyanti N 
Published: July 2024

Abstract
Micro hydropower (MHP) systems are a promising alternative renewable and sustainable energy source to conventional fossil fuels, particularly in regions with abundant water resources like Indonesia. The success of MHP initiatives is contingent upon identifying suitable sites and remains challenging related to influencing parameters in site selection for the regional/national scale. Therefore, this study aimed to determine the essential influencing variables for MHP site selection by evaluating multiple variables related to the existing MHPs. The method used for analysis was the GeoDetector and Recursive Feature Elimination-Random Forest (RFE-RF) approach in the Geographic Information System (GIS) framework. Combining GeoDetector and RFE-RF models proves to be a potent tool for essential influencing variables screening in MHP site selection. The eight essential variables were obtained, down from nineteen original variables, with a better performance statistically. This hybrid approach considers spatial patterns in data for variable selection, ensuring alignment with the chosen machine learning method. This study result is expected to assist decision-makers in the preliminary evaluation stage of MHP site exploration and promote Indonesia’s transition to a cleaner, more renewable energy future and participatory forest conservation.
Maritime Boundary Delimitation using Different Methods of GIS - A Case Study of the France-United Kingdom (Jersey Island) Boundaries
Authors: Khomsin  , Nusantara Candida Aulia De Silva , Pratomo Danar Guruh , Febriani Farida Nur 
Published: July 2024

Abstract
Maritime and territorial zone disputes have created tensions and conflicts between countries with contiguous or adjacent maritime zones. France escalated its fishing rights dispute with the UK by announcing that it had seized an unlicensed British vessel operating in French waters. This paper examines the incident by reviewing the geographical condition and creating a maritime boundary map between the France-United Kingdom (Jersey) that complies with the UNCLOS 1982 convention. This research uses GIS software and bathymetry data to create maritime boundaries according to the UNCLOS 1982 convention. GIS methods used include Buffer, Thiessen Polygon and Geocap Maritime Delimitation toolbox. According to the “geocap maritime delimitation” toolbox, the total water area measures 509 square miles, with an even division between the two areas. However, when utilizing the buffer and Thiessen polygon methods, there is a notable variation of 56 square miles between the water areas of Jersey and France. The delimitation method from the Geocap Maritime Delimitation toolbox was chosen as the best method because this tool can generate critical points and baselines from the closest point between two baselines that follow UNCLOS convention and produce a solution with the equidistance division between the two countries.
Spatial Analysis of LULC Changes and Suitability of Ngawi Regency on Spatial Regional Planning 2011-2031 Using Geographic Information System
Authors: Kusumaningrum R. , Priyana Y. 
Published: July 2024

Abstract
This study analyzes land use change in Ngawi Regency, East Java, in 2011 and 2021 and examines the suitability of land use, Regional Spatial Plan, and Regional Medium-Term Development Plan. Qualitative descriptive analysis methods and spatial-temporal analysis are used to identify land-use change, land-use change, and land-use-related problems. The results showed a discrepancy between actual land use and RTRW in several sub-districts, such as Padas, Pangkur, Ngawi, Pitu, Kedunggalar, Ngrambe, Sine, Jogorogo, Kendal. This discrepancy includes changes in land functions from settlements to industries, tourism areas to settlements, industries to settlements, and vice versa. The total area of nonconformity reached 40,361 hectares or 28.93 % of the Ngawi area. GIS and map overlays provide an in-depth understanding of land change patterns, with settlements and industrial sectors being key focuses. Although the Regional Spatial Plan has been established to regulate land use, its implementation still needs to be improved in 2021. The development of tourism, industrial, agricultural, and residential areas sometimes goes differently than planned. This research highlights the need for coordination between Regional Medium-Term Development Plans and Regional Spatial Plans to achieve sustainable regional development.
Analysis of Changes in Vegetation Density Index in Surakarta City 2018-2022 Using Landsat-8 OLI/TIRS Satellite Imagery
Authors: Rianti D I , Sari D N 
Published: July 2024

Abstract
One of the cities that is experiencing growth with an increase in population and rapid changes in land use is the city of Surakarta better known as Solo which is located in central Java Province. The aim of this research is to analyze changes in the vegetation density index in the city of Surakarta in 2018-2022 and analyze the accuracy of Landsat 8 imagery to map the vegetation density index in the city of Surakarta in 2018-2022. The research method used in this research is a field survey using the NDVI (Normalized Difference Vegetation Index) transformation. The research results show that there are 5 classes of vegetation density index with a range of -0.28 to 0.76. The ANOVA test showed that changes in the vegetation density index were not significant with a significance of 0.196. Based on the accuracy tests that have been carried out, Landsat 8 can be used to map the vegetation density index with an overall accuracy of 83.3% and a kappa index of 0.79. The accuracy and suitability between the map and the field shows good results and accurate image processing.
GIS Application For Mapping and Analyzing Urban Green Open Spaces (Case Study of Sragen City)
Authors: Arti R S , Jumadi  
Published: July 2024

Abstract
Green open space in cities is one of the environmental controls. In residential spatial planning, green open space is very necessary in the form of green belts and passive or active parks. Sustainable development must be supported by adequate residential green space, which must fulfill the function of absorbing CO2, increasing the volume of groundwater and being useful as a flood controller. The availability of green open space for the community can increase the aesthetic value of a city’s environmental area and can function as an economic value [9]. This research aims to determine the extent of green open space in Sragen City. From this research, we can analyze the development and need for green open space in Sragen City to study and develop a green city and a balanced environment. This research is aimed at understanding the area of green open space in Sragen City. From this research, we can analyze the development and need for green open space in Sragen City to study and develop a green city and a balanced environment. Sufficiency of green open spaces Needs Based on Area and City Area Sragen City’s green open spaces do not meet the minimum requirement of 30%. Of the green open space, the city forest managed by environmental services is included in it with an area of 2,500 m2. However, Sragen City’s green open space looks large because it includes moorlands, residential forests, state forests, and ponds. Meanwhile, 130.17 Ha is land managed by the Sragen City Regency Government. This research uses primary and secondary methods. To obtain a map of the green open space area of the research area, Quickbird image analysis is required. From the results of the research, it was concluded that the management and efforts to provide sufficient green open space were adequate, but in terms of area, the proportion of green open space that was determined was still not sufficient. There are seven types of green open space in Sragen City, namely in the form of urban forest green open space, green lane green open space for roads, pedestrian, open space, river border green open space, cemetery green open space, private and community property building green open space, as well as plantation and resident’s yard green open space.
Analysis of recommendations for developing sustainable fishing areas based on geographic information systems: the integrated Center of Marine and Fisheries (SKPT) Mimika case study
Authors: Aruri Y , Sunariya M I T , Mardiansyah A 
Published: July 2024

Abstract
The Integrated Center of Marine and Fisheries (SKPT) is one of the Indonesian government’s steps in developing better management of the fisheries sector. SKPT Mimika has “The golden fishing ground” waters with a capture fisheries potential of 2.64 million tons per year; Arafura waters are one of the most fertile waters in Indonesia. With this potential and the concept of water development, namely the blue economy, where the economy with the axis of the sea must be sustainable, has a high urgency to ensure that there is no excessive exploitation of marine resources. The development of a sustainable blue economy involves many parties, but we consider that the closest community is the answer to the success of this development. Creating the potential fishing zone (PFZ) from Aqua MODIS image data and SWOT Analysis to formulate sustainable recommendations can help the community and stakeholders. Some of the outcomes of our recommendations are 1) Empower and implement an adaptive management approach that considers the needs and situations of each member of society, community, and region; 2) Increase the resilience of fisheries and aquaculture systems through implementing sustainable practices, diversifying fisheries commodities, and increasing access to markets. 3) Increase the ability of fisheries and aquaculture stakeholders to adapt to the impacts of climate change through training, education and awareness-raising activities; 4) Integrate the fisheries and aquaculture sectors into national policies and strategies for climate change; and 5) Management of intentional fishing and dumping.
Comparative Study SVM and Random Forest Algorithms for the Classification of Terrestrial Visual Rock Types
Authors: Rudiyanto  , Setyanto Arief , Kusnawi  , Sunyoto Andi 
Published: July 2024

Abstract
The advancement in image processing technology, along with the increasing demand for classifying terrestrial visual rock types in diverse applications such as geological exploration and natural resource mapping, has prompted investigations into the application of machine learning algorithms to enhance classification accuracy. This research aims to assess the performance of the Support Vector Machine (SVM) and Random Forest algorithms in classifying terrestrial visual rock types. The study utilizes a dataset containing images of various rock types sourced from KAGGLE. Both Random Forest and Support Vector Machine methods are employed for rock type classification, and their performances are compared to determine the more effective method. Through experimental analysis on the KAGGLE rock dataset, the study provides evidence supporting the efficacy of the proposed method and identifies the Random Forest algorithm as the more suitable option for rock type classification. Evaluation criteria include accuracy, precision, recall, and F1-score metrics. The research findings reveal that the Random Forest algorithm achieves a higher accuracy rate of 86.25%, with a precision of 0.97, recall of 0.86, and an F1-Score of 0.91, establishing its superiority in rock type classification.
Dynamics Thresholding for Assessment of Land Fires Susceptibility, Brantas Hulu
Authors: Wiwoho Bagus Setiabudi , Astuti Ike Sari , Hartono Rudi , Yuliano Fajar Setiawan , Herlambang Gilang Aulia , Azizan Fathin Ayuni 
Published: July 2024

Abstract
Forest fires are often an environmental problem that has the potential to cause environmental damage. It is predicted that as temperatures increase due to climate change, the risk of land and forest fires will become greater. This research aims to (1) model the vulnerability of land and forests to fire and (2) examine inherent land factors such as the type and physical properties of soil and land-use typology against fire. This research is quantitative, combining remote sensing data and field observations. Machine learning algorithms and dynamic thresholding will be tools for data analysis. Model verification will be carried out using national fire disaster data as well as field observations. The Brantas Hulu watershed has a high probability distribution of vulnerability. The training data Area Under the Curve (AUC) value is 0.923, and the test data The training data Area Under the Curve (AUC) value is 0.923 value is 0.912. The variables used provide different contribution values. Land Cover 2019 has the highest contribution to the model, namely 26.5%, and the lowest contribution to the model, namely Evapotranspiration 2023, Normalized Burn Ratio (NBR) 2023, and Normalized Difference Vegetation Index (NDVI) 2023, namely 0.1%. Forest and land fires can occur due to triggers from human activities. It is necessary to explain to the public not to burn grass and debris. Avoid burning when the weather is windy. Strong winds are the main factor in forest fires becoming more widespread.
Identification of Coastal Typology and Utilization of Geospatial Technology for Tsunami Hazard Modeling in Kulon Progo Coastal Area, Special Region of Yogyakarta, Indonesia
Authors: Wulandani N A , Wibowo Y A , Nurwijayanti A 
Published: July 2024

Abstract
Tsunamis are natural disasters that cause material losses and cause loss of life. Tsunamis are generated by underwater earthquakes. The coastal region of Kulon Progo is prone to the risk of a tsunami disaster due to its proximity to the megathrust zone and direct exposure to the Indian Ocean. This research aims to (1) determining the typological characteristics in the Kulon Progo Coastal Area, Special Region of Yogyakarta; (2) determining the spatial distribution of tsunami hazards in the Kulon Progo Coastal Area, Special Region of Yogyakarta; (3) developing recommendations for tsunami disaster mitigation models in the coastal area of Kulon Progo, special region of Yogyakarta. The method used in this research is the Hloss calculation developed by Berryman-2006. Furthermore, the identification of coastal typology was carried out according to Shepard with field observations, which were taken based on the Identification of Coastal Geomorphology according to Khakhim-2008. The research results show that tsunami inundation modeling with scenarios of 5, 10, 15, 20, 25, and 30 meters inundated the entire area with 14,462.22 hectares. It is known that the identification of the Kulon Progo coastal typology is marine deposition coast and coast built by organisms. Suitable recommendations for tsunami disaster mitigation on the Kulon Progo coast are the application of green belts around the coastline and the constructing of breakwaters. The results of this research can be used as a basis for determining tsunami disaster risk reduction policies in the coastal area of Kulon Progo, Special Region of Yogyakarta.
Multi-Temporal Analysis of Urban Heat Island Phenomenon Distribution in the Special Region of Yogyakarta (2018-2022) Using ArcGIS Story Map
Authors: Amrullah H M , Sari D N 
Published: July 2024

Abstract
Rapid urban development in the Special Region of Yogyakarta over the last 5 years has resulted in significant temperature variations, impacting urban areas. The study, presented through a Story Map, focuses on the Urban Heat Island (UHI) phenomenon, showcasing temperature changes from 2018 to 2022. Despite a general decline of around 1°C during this period, the year 2022 witnessed a notable 4°C increase in urban temperatures. The dynamics of urbanization, coupled with land use alterations, contribute to the fluctuating surface temperatures. The Story Map serves as a comprehensive medium, incorporating multimedia elements to effectively communicate these variations, the contributing factors, and potential mitigation strategies. The Special Region of Yogyakarta’s urbanization has led to a transformation of its design into a metropolitan area, resulting in increased land conversion and demand for residential purposes. The UHI phenomenon is influenced by factors such as changes in land use, building materials, and human activities. The narrative map provides detailed insights into the temperature changes, emphasizing the significance of addressing UHI in regional and spatial planning. It highlights practical measures like tree planting initiatives and sustainable development planning to mitigate the impact of elevated temperatures. The Story Map, designed to be accessible to a broad audience, serves as a valuable reference for government and planning agencies, encouraging informed decision-making to address the challenges associated with urban climate phenomena in the Special Region of Yogyakarta.