bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal evaluation of environmental quality of Karawang regency based on remote sensing ecological index
Authors: Dirgantara S C P , Hadibasyir H Z , Kiat U E I , Jumadi J 
Published: January 2025

Abstract
As urban areas expand, the growth of human activities increasingly degrades the ecological environment, causing a significant decline in vegetation, soil erosion, loss of biodiversity, temperature elevation, and other adverse effects. If left unchecked, these effects can have severe consequences for the living organisms inhabiting those areas. Evaluating the correlation between development activities and the ecological environment has become an urgent matter requiring attention from all countries, particularly in establishing effective and systematic environmental quality measures. Remote Sensing Ecological Index (RSEI) is one remote sensing method designed to analyze the ecological environmental quality using four parameters: wetness, greenness, dryness, and temperature. The aim of this research is to spatiotemporally assess the RSEI parameters and the ecological environmental quality using the RSEI method in Karawang Regency. Principal Component Analysis (PCA) results range from 70% to 80%. The findings indicate that high wetness, high temperature, and open and built-up land are negative driving factors. The year 2021 had the largest extent of the poor classification class, reaching 917.11 Km2, while the year 2019 had the smallest extent of the poor classification class, only 21.31 Km2.
The influence of Adiwiyata Program on students’ eco-friendly attitude
Authors: Afif Fadhlurrahman Muhammad , Nisa Jakiatin , Harjawati Tri 
Published: January 2025

Abstract
This study is aimed at finding the influence of Adiwiyata Program, as a Program of the Ministry of Environment encouraging the construction of the school stakeholders’ knowledge as well as their awareness in maintaining the environment, on students’ eco-friendly attitude at SMAN 5 Depok of West Java. The research method used in this study is quantitative approach with survey. The Adiwiyata Program (X) sub variables consist of 4 variables of: eco-friendly policy; the implementation of eco-based curriculum; participatory-based environmental activity; and the management of eco-friendly school. Eco-friendly Attitude (Y) SubVariables consist of: (1) No littering; (2) selecting organic/inorganic waste; (3) no organic waste burning; (4) buying food-and-drink as needed; (5) turning the lamp/light off; (6) using public transportation; (7) walking/cycling; (8) saving water; (9) doing community service/mutual cooperation; 10) reporting the environment destroyer and giving him/her some reprimand. The population was the whole 1010 students and the sampling was conducted through stratified random sampling based on Slovin formula with a sample of 304 students. The data was collected through questionnaire and the data analysis was conducted through simple linear regression, t-Test and determination coefficient test. The simple linear regression analysis test shows that (1) constant/a value is of 51.50, which means that adiwiyata program causes environmentally care attitude of 51.50; (2) The regression coefficient/b value is of 0.121, which means that in each increase in the implementation of adiwayata school program will increase students’ environment care attitude of 0.121. From the t-Test, it is gained that tcount= 2.894 and the significance = 0,004; ttable = 1.967with significance = 0.05/2 = 0.025 and df= 304-2=302; with test Criteria = tcount < ttable, then Ho is accepted or tcount > ttable, then Ho is rejected; it shows that the analysis of tcount is of 2.894 and the significance is of 0.004 which means that it is < 0.05. It can be concluded that adiwiyata program influences students’ eco-friendly attitude (ttable < tcount (1.967) < (2.894)). The final test through determination coefficient test is resulted in output model summary, i.e. R Square value is of 0.27. It means that adiwiyata program influences eco-friendly attitude of 27% while the rest 73% is influenced by other factors which were not tested in this study.
Analysis of the influence of built-up land on the availability of green open space using Sentinel-2A imagery in Bengkong Sub-district, Batam City in 2023.
Authors: Susilo F T , Sari D N , Priyana Y , Mukasyaf A A 
Published: January 2025

Abstract
Population growth is always followed by an increase in land demand for residential areas and other supporting facilities. This situation results in pressure on the existence of green open space. The growth rate and population density in Bengkong Sub-district in 2023 is one of the highest in Batam City with a growth rate of 3.26%, so that the area of green open space decreases and turns into a built-up area. This study aims to analyse the effect of built-up land on green open space in bengkong sub-district in 2023. the method used is quantitative method with remote sensing analysis using NDVI and NDBI transformation with Sentinel-2A satellite image data can be used as one of the efforts to determine the availability of green open space in the bengkong sub-district area. The area of green open space calculated based on the value of vegetation density is 284.62 Ha or 16.3% of the bengkong sub-district area and the relationship of built land to green open space is 46% which indicates that it does not have a significant impact.
Utilization of NDVI analysis in fulfilling Green Open Space in Balaraja District, Tangerang Regency in 2023
Authors: Pangestu D. R. , Sunariya M. I. T. , Anggani N. L. , Rudiyanto  
Published: January 2025

Abstract
Significant land-use transformations within Indonesia, particularly in Balaraja District, Tangerang Regency, have led to a decline in Green Open Spaces (GOS). To support sustainable spatial planning, this study comprehensively analyzed the distribution and availability of GOS in Balaraja Sub-district, employing the Normalized Difference Vegetation Index (NDVI) and Sentinel-2A satellite imagery. The NDVI method was utilized to assess vegetation levels, categorizing them into five classes: no vegetation, low vegetation, medium, high, and very high. The findings revealed that 43.42% of Balaraja remains covered by high to very high density vegetation, exceeding the government-mandated minimum GOS standard of 30%. Spatial analysis conducted using ArcGIS and QGIS facilitated the mapping of GOS distribution and identification of areas requiring supplementary GOS development. These results serve as valuable references for regional planning, ensuring adequate green space provision to mitigate the adverse effects of urbanization.
From mining to tourism: Sustainable management of the former mining area of Tebing Breksi
Authors: Saputra B , Fajri H , Pegi A L , Halawa H S , Renaldi I , Syolendra D F 
Published: January 2025

Abstract

Tebing Breksi is a former cliff rock mining site now designated as a geological heritage site conservation area. Since 2014, mining activities in this area have been stopped and transformed into tourism activities. The transformation of former mining areas like this often leads to environmental problems after the mining exploitation process is complete. However, the right approach can transform the area into an attractive tourism destination while maintaining environmental sustainability. This article will examine sustainable management strategies to transform former cliff mining areas into sustainable tourism destinations. Through a qualitative case study analysis and literature review, we identify best practices in designing and managing former cliff mining areas for sustainable tourism. The integration of economic, socio-cultural, and natural environmental factors must be explored to achieve sustainable tourism goals. Our findings show that with strong involvement from various stakeholders and targeted strategy implementation, transforming the former cliff mine area into a sustainable tourism destination is easily achievable while considering socio-cultural aspects. Ex-mining tourism activities provide significant economic and environmental benefits to local communities and the surrounding environment.
The potency of salt marshes for enhancing climate change adaptation and mitigation: Case study Kulon Progo, Yogyakarta, Indonesia
Authors: Mustofa Ikrom , Said Ramdlan M , Haru Radityo Suharyanto Hamzah 
Published: January 2025

Abstract
The purpose of this study is to gain an insight into how salt marshes in Kulon Progo, Yogyakarta, Indonesia, contribute to mitigation and adaptation to changing climates. Severe consequences from climate change are currently being experienced in Kulon Progo, such as bigger floods as well as problems to agriculture. Due to their location within land and sea, salt marshes provide an essential function of minimizing the risk of floods and coastal erosion in low-lying coastal areas. Additionally, these natural environments are very effective at storing carbon dioxide as they accumulate sediments which are rich in organic material. The primary objective of this study is to evaluate Kulon Progo’s salt marshes’ capacity for mitigation and adaptation to climate change. Methodologically, it involves the analysis of the protective and carbon-sequestering roles of salt marshes by a review of the scientific literature along with analysis of secondary data from local government sources. The findings show that salt marshes in Kulon Progo greatly reduce flood risks and act as important carbon sinks, contributing to climate resilience and sustainability. The discussion focuses on the need of enhancing salt marsh protection into local climate actions and initiatives, emphasizing their dual function in safeguarding coastal towns from shoreline erosion and lowering atmospheric carbon levels. The findings indicate that protecting and restoring salt marshes could be a critical component in regional climate adaptation and mitigation plans, providing a nature-based solution to the complex issues due to climate change in coastal areas.
Improving pavement structure at signalized intersections to reduce gas emissions
Authors: Widya Putri Rhahmadani , Yulianto Budi , Setyawan Ary 
Published: January 2025

Abstract
Road defects often occur at signalised intersections, leading to reduced vehicle speeds and traffic congestion. Road damage has a direct impact on increasing fuel consumption and vehicle emissions. So a benchmark is needed to assess the condition of the pavement, one of which is the PCI (Pavement Condition Index) method. PCI is the level of pavement surface condition. If there is known damage, it is necessary to make efforts to improve the pavement structure. One of them is with the help of SPDM (Shell Pavement Design Method) software, which is software that functions to determine the performance of asphalt in the form of pavement thickness. The results showed road damage at a signalled intersection using the PCI method, so that recommendations for handling the damage can be found. From these recommendations, road structure improvements are carried out with overlays analysed using the SPDM application. The overlay thickness is obtained by subtracting the SPDM design thickness and the total design thickness of the flexible layer. The result is the overlay thickness on Tentara Pelajar Road 49 mm, West Diponegoro Road 75 mm, and East Diponegoro Road 74 mm. Improvements to the pavement structure at signalised intersections can reduce vehicle gas emissions.
How parental education and financial savvy drive college students toward a green economy?
Authors: Mei Damayanti Rosita , Yuniarti Utami Eva , Pramesti Diah 
Published: January 2025

Abstract
To understand green economy literacy and awareness, this study tries to understand the relationship between parental education level, student financial literacy, student access to financial information and personal financial management experience. The green economy is an economic system for sustainable development concerned with the environment. Since it is becoming increasingly relevant today, the young generation, particularly college students, is at the forefront of this change in making decisions that have financial and environmental implications. However, the factors influencing their understanding and awareness of the green economy are poorly understood. The study uses 278 samples of vocational students. The results show that student financial literacy and access to financial information affect green economy literacy and awareness. However, parental education and student experience in financial management, as well as demographic characteristics such as age, gender, student’s semester, and financial course experience, do not affect the green economy. The findings of this study could have significant implications for universities and policymakers. The university needs to increase student engagement in the green economy by fostering students’ financial literacy, while policymakers must conduct active campaigns to promote the green economy.
Study of Milangasri Landfill management system for improved function and cost efficiency
Authors: Parama Astirin Okid , Suryanto  , Sarjiyanto  , Ardo Tanjung , Purwanti Eny , Mega Rahmawati Widya 
Published: January 2025

Abstract
Milangasri Landfill is the only landfill in Magetan Regency, East Java. The capacity of the landfill has been overloaded so that efforts are needed to manage landfill waste or renew the location of the landfill. Landfill mining can be a solution to reuse landfill that begins with the extraction of mineral and energy resources. This study aims to assess the economic feasibility and potential application of several waste management technologies at Milangasri Landfill, Magetan. The results of the economic feasibility calculation, investment in the Milangasri landfill of 50 billion will result in a 4th year Break Even Point (BEP) of 9,143 billion rupiah. If the project is continued, the 10th year waste will generate 98,975 billion rupiah. Therefore, waste management with Enhance Landfill Mining (ELFM) can have a positive impact on the environment and open up investment opportunities for the private sector.
The impact of land use patterns on water quality in the Cikapundung sub-watershed
Authors: Firdayati Mayrina , Ahwan Al-Farisi Fauzan , Virtriana Riantini , Adi Kuntoro Arno 
Published: January 2025

Abstract
Cikapundung River divides the city of Bandung, one of popular Indonesia’s tourist and educational destinations. The watershed land cover has drastically changed in the last twenty years. This study integrates water quality analysis across the Cikapundung sub-watershed, assessing various physical, chemical, and biological indicators impacted by land use practices. Critical sources of pollution identified include domestic waste, agricultural runoff, industrial discharge, and unpaved riverbanks. Results indicate that numerous parameters exceed Indonesian Government Regulation No. 22/2021 Class II thresholds, notably total dissolved solids, biochemical oxygen demand, chemical oxygen demand, dissolved oxygen, ammonia, Fe, Mn, oil and grease, hydrogen sulfide, MBAS, total coliform, E.coli, and fecal coliforms. The total coliform concentration ranged from 9.25×103 to 5.56×108 MPN/100 mL, fecal coliforms from 7.6×102 to 2.53×107 MPN/100 mL, TSS from 4 to 276 mg/L, and TDS from 88.4 to 1111.15 mg/L. Pollution levels varied across river segments, showing moderate to severe upstream and downstream contamination over three sampling periods. The pollution index ranged from 5.26 to 16.77 across the watershed. This research emphasizes the urgency of implementing pollution control measures and sustainable land use practices to safeguard water quality in the Cikapundung sub-watershed. Its findings provide valuable insights for policymakers and environmental managers to formulate effective watershed management and protection strategies.
Firm characteristics and environmental performance: Evidence from ASEAN-5 countries
Authors: Saktiawan Bimo , Risfandy Tastaftiyan , Suam Toro Juan 
Published: January 2025

Abstract
Issues regarding environmental performance have become important recently. Moreover, after the Paris Agreement, it encouraged global attention to desire and responsibility for the environment. This issue puts pressure on companies to carry out their business activities responsibly so that they can report environmental performance well as a form of legitimacy. This research examines company characteristic factors, especially firm profitability, firm size, and firm size, which can influence environmental performance in five Southeast Asian countries: Indonesia, Singapore, Malaysia, Thailand, and the Philippines—using unbalanced panel data of 748 companies from 2013 to 2022, from Thomson Reuters. The research results show that the three company characteristics, size, and age, show significant positive results. This means that the bigger or longer the company has been around, the better its environmental performance. Meanwhile, company profitability produces significant negative results. The more companies focused on gaining profits, the lower their environmental performance. When companies focus on increasing their profits, they tend to neglect and avoid environmental performance because of the costs it causes. The research findings are expected to provide input for companies and governments to determine effective policies between business organizations and environmental performance integration within them.
Predicting the spatial distribution of salt-affected soil using Sentinel-2 in coastal area of Demak Regency
Authors: Kricella Pronika , Danoedoro Projo , Budi Wibowo Sandy 
Published: January 2025

Abstract
The distribution of salt-affected soil in Indonesia is difficult to locate because there are no main characteristics such as soil parent material, climate type, and evaporation rate. This study aimed to assess the spatial distribution of salt-affected soil in coastal area of Demak Regency using several salinity indices of Sentinel-2. Salt-affected soil distribution was identified by regressing electrical conductivity of soil samples with normalized difference salinity index (NDSI), normalized difference index (NDI), and salinity index (SI). A total of 30 soil samples taken from the coastal area of Demak Regency was examined for their electrical conductivity values to be used as training samples. The result showed that NDSI was more sensitive in mapping salt-affected soil with coefficient of determination of 0.23, standard error of estimate of 1.47 dS/m, and RMSE of 1.42 dS/m. The salt-affected soil distribution map indicated that electrical conductivity values in coastal area were higher compared to inland area with electrical conductivity ranged from 0 to 7.98 dS/m.
Spectroradiometer data of dominant tree species on the mangrove ecosystem in Central Java, Indonesia
Authors: Segah Hendrik , Wirasatriya Anindya , Lusia Agus Elsa , Hirose Kazuyo , Takeda Tomomi 
Published: January 2025

Abstract
Remote sensing applications in precision identification of agriculture and forest vegetation have been steadily increasing in recent years due to improvements in spatial and spectral resolutions of remotely sensed imagery. This research aims to analyse and identify the dominant species on the mangrove ecosystem in Timbulsloko Village, Central Java Province (Indonesia) and to develop the spectral library of individual tree of mangrove-forest using a ground-based spectroradiometer. The measurements of the reflectance spectra of ground vegetation were performed by an Analytical Spectral Devices (ASD) FieldSpec Pro-FR Spectroradiometer (FieldSpec 3 FR) with a spectral range of 350-2500 nm and a rapid data collection time of 0.1 second per spectrum. The instrument uses three detectors spanning the visible and near infrared (VNIR) and shortwave infrared (SWIR1 and SWIR2). The FieldSpec spectroradiometer is specifically designed for field environment remote sensing to acquire visible near-infrared (VNIR) and short-wave infrared (SWIR) spectra. The results of field measurements have succeeded in collecting more than 1,500 spectral data from the dominant species of the mangrove ecosystem at the research location, namely Avicennia alba, Avicennia marina, Rhizophora mucronata, and the white reference. We found that the significant spectrum information found in hyperspectral remote sensing data will be very useful for plant mapping, monitoring, and categorization. An effective approach for classifying plant species is the automated interpretation of remote sensing data using a spectral library.
Evaluation of slum upgraded housing for low-income community in Kampung Mojo, Surakarta
Authors: Bayu Ardhiawan Andrea , Nurul Handayani Kusumaningdyah , Musyawaroh Musyawaroh 
Published: January 2025

Abstract
Indonesia is experiencing rapid urbanization growth, leading to an increase in slums in the city center. Since 2015, the government has addressed this issue through the KOTAKU program. In Surakarta City, the program encompasses four areas, including eks HP 00001 in Mojo Village, Pasar Kliwon District. Following the implementation of the slum upgrading program, residents began returning to the area in 2022. Over time, modifications to the basic housing infrastructure have been made to enhance the comfort of activities within the homes, a response to adaptation strategies. This study aims to determine the performance of houses within a slum upgrading project after being occupied for two years. The research method used is qualitative rationalistic by taking samples of houses that function with domestic activities and home-based enterprises. The findings reveal physical changes, such as the addition of mezzanine spaces and exterior materials for thermal comfort. These changes are also influenced by the community’s socio-economic and cultural factors, including the incorporation of business spaces. This change presents challenges in accommodating activities within the community. The evaluation can serve as a foundation for formulating policies and recommendations for healthy and comfortable affordable housing units.
Renewable Energy in the Western Balkans and EU Policy: Pathway to Regional Net-Zero
Authors: Rajić Milena , Quaranta Emanuele , Kuriqi Alban , Kasiulis Egidijus 
Published: January 2025

Abstract
The six Western Balkan countries (WB6), which include Albania, Bosnia and Herzegovina, Kosovo, Montenegro, North Macedonia, and Serbia, are in a critical phase of their development and face various economic, political and environmental challenges. Political uncertainties, economic imbalances, and institutional weaknesses have hindered their progress in achieving sustainable development goals. Among these challenges, the energy sector stands out as a priority due to its significant impact on economic growth, climate change, and environmental sustainability. The energy landscape in the region is dominated by conventional and non-renewable energy sources, leading to concerns about energy security and environmental degradation. Dependence on fossil fuels exposes these countries to volatile energy prices and increases their contribution to greenhouse gas emissions. There is an urgent need to develop cleaner and sustainable energy sources to promote economic growth while mitigating the harmful effects of climate change. Hydropower capacity in the WB6 countries is estimated to be significant and offers the opportunity to generate clean energy. A comprehensive overview of the hydropower potential in the WB6 countries considers factors such as river systems, water availability, topography, and technical capabilities. The promotion of renewable energy, especially sustainable hydropower, is central to achieving a sustainable future in the WB6 countries. By harnessing their hydropower potential and addressing environmental and social concerns, these countries can boost their economic growth, combat climate change, and improve their energy security for a prosperous and sustainable future.