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INDONESIA
Journal of Environmental Science and Sustainable Development
Published by Universitas Indonesia
ISSN : -     EISSN : 26556847     DOI : https://doi.org/10.7454/
Core Subject : Humanities, Science, Social,
Humanities Energy Environmental Science Social Sciences
Journal of Environmental Science and Sustainable Development (JESSD) is a biannual refereed journal which provides an opportunity for academics, practitioners, policymaker, and community to examine and exchange on a wide range of environmental issues and bridges the gap between research and the application of environmental science in management and policy practices. The JESSD includes and promotes scientific work and practical dimensions of environmental science and sustainable development issues, from the developing countries, especially in South East Asia region, and also strengthens the collaboration between the developed and developing countries around the world.
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Ilmu Lingkungan (Lain-Lain)
Articles 11 Documents
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Search results for , issue "Vol. 7, No. 2" : 11 Documents clear
FOREWORD FROM HANDLING EDITOR - 13TH EDITION Sodri, Ahyahudin
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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We are delighted to present the 13th edition of JESSD, published in December 2024. We have selected ten of the best articles for this edition that related with topic of Environmental Science and Sustainable Development.
ASSESSING THE ENVIRONMENTAL IMPACT OF MUNICIPAL SOLID WASTE Florence, Ojo Oluwayinka; Sunday, Olaniyan Olatunji; Saheed, Akolade Adebola; Omotayo, Alabi Oluwaseyi; Adesope, Olaomotito Precious; John, Adebayo Kehinde
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Municipal solid waste (MSW) management presents significant environmental challenges, especially with increasing urbanization and population growth. This study assesses the environmental impacts of MSW, focusing on waste composition, management practices, and their effects on air, water, and soil quality. The primary objective is to evaluate how MSW contributes to environmental degradation and to explore strategies for mitigating these impacts. A hypothesis was developed that optimizing waste composition through proper sorting and treatment can reduce the environmental footprint of MSW management by at least 10% in terms of leachate production and greenhouse gas emissions. Samples were collected using a randomized sampling approach across different zones within the landfill to capture variability in waste composition. Key parameters analyzed included moisture content, pH, Ignition Loss (IL), Residue Ignition (RI), Total Carbon (Tc), Total Organic Carbon (TOC), Calorific Value (Cv), and the Carbon-Nitrogen (C/N) ratio. Statistical methods, including ANOVA, were applied to compare moisture content across sample locations, and correlation analyses were conducted to investigate relationships between parameters such as pH and microbial activity. Hygroscopic, total moisture, and Total Solids (TS) were measured at 34.06%, 46.45%, and 53.55%, respectively. The pH ranged from 5.084 to 5.100, IL was between 72.04% and 78.92%, and the C/N ratio 38.87. These values, though still within the recommended threshold for landfill disposal, suggest that the high moisture content and slightly acidic pH present challenges for waste treatment, especially for landfill and composting processes. The high moisture content directly impacts the study's objective of understanding waste composition's impact on landfill sustainability, as it increases leachate production and reduces waste-to-energy potential. The findings highlight the need for improved sorting, recycling, and treatment technologies to enhance sustainability in MSW management. Future research should focus on integrating emerging technologies and policies to address these challenges and minimize the environmental impact of waste.
SPATIAL SEGREGATION AND SOCIOECONOMIC DISPARITIES IN URBAN LAND USE PATTERNS Lestari, Intan; Hasibuan, Hayati Sari; Ardiwijaya, Vevin Syoviawati
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Jakarta, a city that has continued to develop, is marked by the growth of population in Jakarta. This growth has been accompanied by an increasing demand for land, resulting in spatial segregation. Some areas have large expanses of land, while others are densely populated and cramped. The purpose of this study is to analyze spatial segregation in the Penjaringan and Pluit Subdistricts of North Jakarta. The research employs a qualitative descriptive analysis method, spatial analysis using Moran's and Getis-Ord Gi*, and a literature review enriched with interviews. The research findings indicate clear spatial segregation between Pluit and Penjaringan, divided into positive and negative hotspot clusters representing larger vs. very narrow land parcels. It is also shown by the clustering pattern with the 0.03 Moran index value. The contrast in segregation depicts demographic and socioeconomic characteristics between the two areas. This pattern is also similar to the land value zones, where Penjaringan has lower land values than Pluit. These findings underscore the pressing need for inclusive urban planning strategies to address spatial disparities. Policies that promote shared public spaces, equitable infrastructure distribution, and mixed-use development could help bridge the socioeconomic divide. By integrating spatial equity into planning practices, urban development can foster greater social cohesion and ensure that the benefits of growth are more evenly distributed across all areas. This approach is vital for creating sustainable and inclusive urban environments.
IMPACT OF URBAN DEVELOPMENT ON UV EXPOSURE: A CLUSTERING AND MACHINE LEARNING ASSESSMENT Sahroni, Taufik Roni, Mr.; Yasin, Verdi; Alfaris, Lulut; Ariefka, Reza; Siagian, Ruben Cornelius; Karim, Mohammad Alfin; Rahdiana, Nana; Suhara, Ade
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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The relocation of Indonesia's capital city is anticipated to promote inclusive economic growth while embracing cultural diversity. However, this transition may affect ultraviolet (UV) radiation exposure patterns. The study investigated variations in UV exposure in the IKN region, focusing on urban development factors such as land use and population density that affect public health, sun protection, and skin cancer prevention. The research hypothesized that UV radiation is significantly correlated with these factors. UV Index data from 2010-2023, a hierarchical clustering method, identifies complex data patterns without determining the number of clusters. XGBoost, a machine learning model, was used for handling high-dimensional data and strong non-linear interactions, outperforming Random Forest in predicting Ultraviolet A variables. Analysis of variance (ANOVA) showed significant inter-group differences, which were validated by Tukey HSD post-hoc tests. Results showed that Cluster 4 was the region with the highest UV exposure. In contrast, Cluster 5 recorded the lowest, with exposure levels ranging from 6.61 to 15.82, a considerable difference of 9.21. The findings underscore the role of geographic and environmental factors in shaping UV exposure patterns, with implications for public health. Areas with high UV exposure face higher risks, including skin cancer and premature ageing. The predictive accuracy of the XGBoost model highlights its usefulness in addressing UV-related health risks. The study advocates for improved UV protection strategies and informed health policies to mitigate climate change impacts and promote sustainable urban development. The findings suggest that the development of data-driven early warning systems for UV radiation exposure could be implemented to improve public health policy and safety.
CATALYZING METEOROLOGICAL INSIGHTS WITH A COST-EFFECTIVE WEATHER MONITORING SYSTEM Alam, Ariful; Muntaha, Sidratula; Munshi, Poonam; Khan, Israt; Islam, Rakibul; Bhuian, Jamil; Arafat, Md.Yasir; Hasan, Md. Ridwanul
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Undoubtedly, one of the biggest alarming phenomena of this decade is the tremendous fluctuations in the weather and climate. Therefore, different types of surveys, investigations, and research are required in this regard in every region. A low-cost weather monitoring system can be implemented in every educational and research institute to collect and analyze different types of weather-related data. This study establishes the method of developing such a system and analyzing data in a simplified way which the data gathered during thunderstorms and cyclonic activity in Bangladesh. The system was designed with Proteus 8 professional software and developed by using a microcontroller, a temperature-humidity sensor, a wind speed analyzer, an automated rainfall analyzer, a barometric pressure sensor, and an LDR-based lightning bolt analyzer with a Linux-operated computer. The result obtained from the developed system is calibrated and compared with the standard value or theoretical value. The comparison graph shows that the developed system is efficient and reliable. After calibrating the system, several data points were collected at Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. Developing an in-house weather monitoring system allows institutions to avoid costly foreign data purchases, reducing expenses and reliance on international services. Practically, this research can be applied to support climate studies and localized forecasting without the expense of high foreign exchange rates, allowing for more affordable meteorological research and enhancing local expertise.
ASSESSING POTENTIAL ENERGY SUSTAINABILITY OF MICRO-HYDROPOWER SYSTEM THROUGH A SUSTAINABLE INDICATOR APPROACH Safitri, Icmi Alif; Sulaiman, Muhammad; Budiarto, Rachmawan
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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The development of micro-scale renewable energy power generation systems, such as micro-hydropower (MHP), often needs more consideration for sustainability during the planning stages. Many small-scale renewable energy systems have shorter-than-expected lifespans, jeopardizing Indonesia's Net Zero Emission Target for 2060 or earlier. Despite this, only some studies have examined the long-term viability of installed renewable energy generation projects, particularly MHP plants not managed by state-owned companies or PLN (Pembangkit Listrik Negara). The primary objectives of this research are to evaluate the feasibility of retrofitting and assess the potential sustainability of a decommissioned MHP in Banjarnegara, Central Java. A cash flow analysis was performed to assess techno-economic indicators. Additionally, the social-institutional dimension was analyzed through in-depth interviews with 15 stakeholders. Sustainability was evaluated using a framework of 15 indicators across technical, economic, environmental, social, and institutional dimensions. The findings revealed that among the four sustainability aspects, the social-institutional dimension scored the lowest potential sustainability at 26.67%. In contrast, the technical and environmental dimensions showed higher potential sustainability, scoring 83.7% and 87.5%, respectively. The economic dimension was deemed feasible only when the financing model accounted solely for retrofitting costs. It is crucial to consider all dimensions comprehensively. Furthermore, engaging multiple stakeholders and fostering local community awareness is vital to ensure the long-term sustainability of decentralized energy systems. This study enhances the understanding of the sustainability potential of abandoned decentralized energy systems and explores how reusing abandoned MHP facilities can support stakeholders in revitalization efforts, contributing to an increased share of renewable energy in the overall energy mix.
TOURISM CARRYING CAPACITY AT PETUNGKRIYONO FOREST AND ITS SUPPORTING AREAS Ambarwati, Nurwidya
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Supported by a variety of diversity and landscapes, the development of tourism in the Petungkriyono area is growing rapidly. Optimizing ecotourism services in the Petungkriyono forest without disrupting the ecosystem and damaging the environment can be done by limiting the number of visitors at tourism sites. This study aims to find out information about the tourism capacity of some tourist attractions in the local forest. This study uses the Cifuentes model to predict the maximum number of visitor capacities that can be accommodated in a tourist attraction called Physical Carrying Capacity (PCC), Real Carrying Capacity (RCC), and Effective Carrying Capacity (ECC) with management capacity as a consideration. The results of the study show that from PCC calculations, which means a maximum number of visitors physically provided by the space, Curug Bajing has the highest number of visitors (1,365 people) in a day from four other tourist objects. Rogojembangan Coffee Shop has the fewest visitors (347 respondents). The highest number of RCC calculations is Curug Bajing tourist attraction (1,365 respondents), and the lowest is Rogojembangan Coffee Shop (346 respondents). In addition, ECC calculations show that the highest number of visitors is at Curug Bajing (1,364 respondents), and the lowest is at the Rogojembangan Coffee Shop (345 respondents). For the management of tourism, the results can provide insight into which tourist attractions require further development. Regarding the result, it shows that Curug Lawe tourist attraction has an exceeded carrying capacity, so our results provide a basis for local tourism management and stakeholders to develop more effective strategies in tourism in the local forest, such as controlling and managing the tourism area by limiting visitors, managing the facilities, waste management, and avoid the habitat of endemic fauna so that we can maintain forest sustainability while utilizing natural tourism in the Petungkriyono forest.
SUSTAINABLE PRACTICES AND GREEN MARKETING IN HEALTHCARE SECTOR: VISUAL TRENDS AND FUTURE INSIGHT Alfarizi, Muhammad; Noer, Lissa Rosdiana
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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The healthcare sector faces critical challenges, including climate change, rising healthcare demands, and resource inefficiencies, making sustainability a priority. This study investigates the integration of sustainable practices and green marketing within the healthcare sector using a bibliometric analysis of 194 journal articles published from 2015 to 2024. Key research questions explore evolving trends, thematic areas, and gaps in the literature to address sustainability issues. The study employs a rigorous five-phase bibliometric methodology, utilizing Scopus database data and tools like Bibliometrix and VOSViewer to identify key themes and relationships. The research demonstrates an annual growth rate of 56.24%, reflecting the rising global attention to sustainability in healthcare. Key journals, such as Sustainability and Journal of Cleaner Production, are identified as prominent platforms, while China and India lead in research contributions. Descriptive statistics reveal an average of 26.18 citations per article, with 43.3% involving international collaborations. The co-occurrence analysis identifies six clusters focusing on environmental sustainability, CSR, green supply chains, economic performance, green HR, and green product innovation in healthcare. The thematic analysis highlights the convergence of sustainability principles, operational efficiency, and green marketing strategies in addressing healthcare challenges. Central themes include Green Human Resource Management (GHRM), Green Supply Chain Management (GSCM), and frugal innovation. Notably, GSCM practices, such as eco-design and waste management, are pivotal in mitigating the healthcare sector's environmental footprint. The study also emphasizes the role of emerging technologies like AI and IoT in optimizing sustainable operations. While significant progress has been made, gaps remain in integrating green practices with marketing strategies and assessing long-term impacts. Future direction should focus on adopting innovative technologies, developing targeted green marketing campaigns, and addressing challenges in resource-limited healthcare systems. This research contributes to improving operational efficiency, reducing carbon footprints, and enhancing patient satisfaction through sustainable practices and green marketing strategies.
FORECASTING AIR POLLUTION DRIVEN BY VEHICLE GROWTH, PUBLIC TRANSPORT, INDUSTRY, AND HOUSEHOLD WASTE Harjono, Chandra; Gianto, Ludy; Sidik, Rachmattullah; Widaningrum, Dyah Lestari
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Jakarta, Indonesia's bustling capital, is grappling with escalating air pollution levels attributed to a confluence of socio-economic and infrastructural factors. This study employs Vensim modelling to project PM2.5 pollution trends through 2040, analysing the dynamic interplay among major contributors: increased vehicular emissions, industrial activities, public transportation deficiencies, and waste management inefficiencies. Materials and Methods: The method that will be used in this air pollution analysis is to integrate empirical data spanning three years to construct a predictive model underpinned by a robust causal loop diagram that elucidates the relationships between system variables and air quality. The results of this paper indicate a projected 50% increase in PM2.5 levels by 2040 if current trends persist, with vehicular emissions being the predominant contributor, accounting for 67.4% of the increase. This underscores the critical need for stringent emissions standards and comprehensive enhancements to public transportation infrastructure. The study's simulations suggest that without significant policy interventions, air quality will continue to deteriorate, posing severe public health risks. Discussion points emphasise the model's implications for environmental policy, advocating for targeted measures to curb vehicular emissions and promote sustainable urban planning. Comparisons with existing literature highlight the study's contribution to understanding localised pollution dynamics, providing a granular analysis that aligns with global research trends. This paper aims to call for immediate action to implement rigorous environmental policies and infrastructure improvements to mitigate air pollution effectively. These strategies include enforcing stricter emissions standards, expanding public transportation networks, and integrating sustainable technologies across transportation and industrial sectors. This research not only maps a trajectory of Jakarta's air quality but also frames a policy response model that could guide similar urban centres globally facing air pollution challenges.
DETERMINING THE DE-DIESELISATION PRIORITIES OF DISTRIBUTED DIESEL GENERATORS IN AN ELECTRICITY COMPANY Nurdianto, Kresna; Kusumastuti, Ratih Dyah
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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The Indonesian Electricity Company (PLN) is one of the main players in the energy transition in Indonesia, and the company plans to achieve net zero emissions by 2060. One way to do this is by implementing the de-dieselisation program, i.e. reducing the use of diesel power plants (PLTD) with new energy and renewable power plants. The Indonesian electricity supply business plan (RUPTL) 2021-2030 targets the reduction of electricity supply from PLTD by 87% by 2030. The program requires a method to determine the order of priorities of PLTDs to be de-dieselised. This research uses multicriteria decision making, namely, analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solutions (TOPSIS) to develop a prioritisation methods and determine the rank of priorities of 22 PLTDs Sumatra island that will undergo de-dieselisation. The criteria are identified from the literature and confirmed with four experts from the company. The criteria are categorised into security of supply, costs, and environmental factors. AHP is then used to calculate the weight of all criteria and sub-criteria, while TOPSIS is used to determine the rank. The results show that the affordability criterion is the most critical factor (0.535), followed by the security of supply (0.312) and environmental factors (0.153). The results also show that PLTD A18, A14 and A7 are the top three PLTDs prioritised for de-dieselisation because they provide the closest distance to the ideal criteria. This research contributes by providing reference in selecting the PLTD that will be selected for de-dieselisation program.

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