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Contact Name
Dr. Herdis Herdiansyah
Contact Email
jessd@ui.ac.id
Phone
+628562053791
Journal Mail Official
jessd@ui.ac.id
Editorial Address
School of Environmental Science, Universitas Indonesia, Jakarta
Location
Kota depok,
Jawa barat
INDONESIA
Journal of Environmental Science and Sustainable Development
Published by Universitas Indonesia
ISSN : -     EISSN : 26556847     DOI : https://doi.org/10.7454/
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.
Articles 163 Documents
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
Publisher : UI Scholars Hub

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Abstract

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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Abstract

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.
ROAD SAFETY ASSESSMENT FOR ACCIDENT AND NON-ACCIDENT CASES SUPPORTING SUSTAINABLE DEVELOPMENT GOALS 2030 Nugraha, Brian Nararya; Nurcahyati, Sekar Warangi; Adhikaratma, Hizkia; Siregar, Martha Leni
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
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Abstract

Halving the number of global deaths and injuries from road traffic accidents is one target of the Sustainable Development Goals 2030, which is still a challenging problem in Indonesia. However, the majority of research on this topic uses accident-based methods, which limits the safety analysis. Two road safety assessment methods are used to close the gap, with the addition of non-accident-based methods such as Road Safety Audits (RSA). The Margonda Raya Road, which is categorised as a traffic accident blackspot, was selected for the case study. For this, a field survey of the road segment is carried out. To minimise analysis bias, the RSA is conducted and finished first before the accident-based assessment. With the two combined methods, more safety concerns are successfully identified rather than using only one method. Several potential road safety risks were found through RSA, especially the hazard on the pedestrian crossings. For the accident-based method, a blackspot analysis and collision diagram are analysed based on 57 traffic accident data for over 3 years obtained from the Integrated Road Safety Management System (IRSMS). Accident-based data showed major findings of traffic accidents that happened at night with limited lighting. With countermeasures recommendation and implementation, the predicted crash is then calculated using the Crash Modification Factor (CMF). The countermeasures involve installing new solar-powered lighting to remove levelled pedestrian crossings, with a total cost of IDR 178,201,981. Based on the calculation, there is a potential to reduce 80% of the traffic accidents in this road segment. In addition, the calculation using the Benefit-per-Cost Ratio (BCR) showed a good result with a BCR value of 2.6. Improving the lighting is shown to have a potential impact on achieving the SDG targets in this sector and another sector that needs further research.