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Quality Improvement of Refuse-Derived Fuel from Landfilled Waste Using Solar Greenhouse Biodrying System Sevina, Raisa; Widyarsana, I Made Wahyu; Wulandari, Suci
Dampak Vol. 21 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.21.2.34-40.2024

Abstract

Final Disposal Sites (landfills) serve as the endpoint in the municipal solid waste management system, functioning as the final destination for our daily waste. Currently, Indonesia is experiencing a waste crisis due to the continuously increasing volume of waste generation, which leads to the rapid overfilling of landfill sites. One of the potential solutions for utilizing landfill waste is the production of Refuse-Derived Fuel (RDF), an alternative fuel derived from solid waste. However, waste that has been buried in landfills generally contains high moisture content, rendering it unsuitable for immediate RDF application. The calorific value of RDF depends greatly on its moisture content, with higher moisture levels resulting in lower energy output. Therefore, a pre-treatment process in the form of drying is necessary to reduce moisture content and optimize the fuel quality of RDF. This study applies the Solar Greenhouse Biodrying (SGB) method as a waste drying technology that combines heat from solar radiation with biological heat generated during aerobic degradation. This method was selected due to its suitability to Indonesia’s tropical climate and its potential for large-scale application without requiring high external energy input. The waste material used in this study was obtained from landfill waste excavated at a depth of 3 meters, with an estimated age of approximately 9 years. In this study, a mixture of fresh waste and excavated landfill waste was dried using various composition ratios: 1:0 (control), 1:1, 1:2, 1:3, and 1:4. The results show that the SGB method effectively reduced moisture content by 27–62.2% and increased the calorific value to a range of 7.5–14 MJ/kg. The waste composition ratio significantly influenced moisture reduction, with the most optimal result found at a 1:2 ratio, which provided the best balance between drying efficiency and energy enhancement. These findings indicate that the SGB method is an effective alternative for waste drying prior to further utilization as RDF. Keyword: landfill mining, solar greenhouse biodrying, refuse-derived fuel, municipal solid waste, moisture content
IRBA STUDY AT BAGENDUNG LANDFILL, CILEGON CITY: RISK AND ENVIRONMENTAL IMPACT ASSESSMENT OF WASTE MANAGEMENT Widyarsana, I Made Wahyu; Muflihah, Lilih; Al Azhar, Muhammad Reza; Putri, Regia Afiyanti; Ragorudin, Abdul Karim; Prayogo, Wisnu; Suhodo, Muhammad Adil Setiyanto
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 8, NUMBER 1, APRIL 2025
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v8i1.22012

Abstract

Bagendung Landfill is located in Bagendung Village, Cilegon City has been operational since 1998. with a land area of 10 hectares, this TPA has a waste management capacity of up to 668 tons/day. Aims: To calculate the environmental risk index of the Bagendung Landfill and evaluate its management using the Environmental Risk Index Assessment method, known as the Integrated Risk-Based Approach (IRBA), and to provide actionable recommendations for enhancing waste management practices at the landfill. Methodology and results: The research utilized secondary data analyzed through the IRBA method, adhering to the framework outlined in the Minister of Public Works and Public Housing Regulation No.3/2013 concerning the Provision of Facilities and Infrastructure to Handle Domestic Waste and Domestic Waste Equivalents. The analysis revealed a risk index score of 515.25 for Bagendung Landfill, placing it within the medium-risk category. Conclusion, Significance, and Implications:               The landfill’s operations can continue with gradual rehabilitation transitioning into a controlled landfilling system. It is necessary to adopting modern waste management technologies, including Refuse-Derived Fuel production, landfill mining, and enhanced methane gas monitoring systems, to mitigate environmental risks. The integration of pH as an additional parameter in risk assessment and leachate evaluation is recommended to enhance the precision of environmental monitoring and better predict contaminant behavior. Implementing these measures is expected to minimize environmental impacts, extend the operational lifespan of the landfill, and contribute to the reduction of greenhouse gas emissions. Collectively, these efforts align with the objectives of sustainable waste management for Cilegon City.
DECISION-MAKING STRATEGY OF COMBUSTIBLE WASTE TECHNOLOGY USING TOPSIS METHOD - CASE STUDY OF NORTH BEKASI DISTRICT Widyarsana, I Made Wahyu; Dewi, Ninne Sevtiana; Novianti, Puteri Denita; Putri, Regia Afiyanti; Akbar, Salman Azaria; Prayogo, Wisnu; Suhodo, Muhammad Adil Setiyanto
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 8, NUMBER 1, APRIL 2025
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v8i1.22634

Abstract

Waste management in Indonesia still faces various challenges, particularly in urban areas such as North Bekasi District, which generates significant daily waste. Innovative technological approaches are required to reduce and manage waste problems, especially combustible waste. Aim: This study aims to determine the most suitable waste treatment technology for combustible waste in North Bekasi District using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method. Methodology and results: The study evaluates three waste treatment technologies: Refuse-Derived Fuel (RDF) production, incineration, and pyrolysis, based on technical, environmental, economic, and social criteria. Data were collected through primary and secondary methods, focusing on waste characteristics, management conditions, and energy potential. The TOPSIS method analysis identified RDF as the most suitable solution with the highest preference score 0.669, followed by incineration and pyrolysis. RDF technology demonstrates significant advantages, including high calorific value (3623.58 kcal/kg), efficient resource recovery, and lower operational and investment costs. Conclusion, significance and impact study: This study concludes that RDF technology can effectively address waste management challenges in North Bekasi, while also promoting environmental sustainability and economic feasibility. Selecting RDF as the primary technology represents a strategic step toward transforming waste management in Indonesia into a more modern, efficient, sustainable, and technology-based approach.
Analisis Variabel Penentu Keberlanjutan TPA Jalupang Kabupaten Karawang: Perspektif Masyarakat melalui Structural Equation Modeling (SEM): Indonesia Dewi, Ninne Sevtiana; Widyarsana, I Made Wahyu
Asian Journal of Innovation and Entrepreneurship Volume 09, Issue 03, September 2025
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol9.iss3.art5

Abstract

Jalupang Landfill is the only official final disposal facility in Karawang Regency, which is still operated using an open dumping system. This management practice has created several environmental issues, including a fire incident in October 2023, and has raised concerns about the sustainability of its operations. This study was conducted to identify the variables that influence the sustainability of Jalupang Landfill by employing a reflective Structural Equation Modeling (SEM) approach. Primary data were collected through questionnaires distributed to 100 respondents across nine districts who are involved in waste transportation to the landfill. The questionnaire applied a Likert scale and was analyzed using SmartPLS 4.0 through a series of tests, including model fit, construct validity, and path coefficient analysis. The results indicated that the developed model met the fit criteria, with an R² value of 0.622 or 62.2%. The regulatory variable was found to be the most dominant factor, with a path coefficient of 0.400 (p-value = 0.002), followed by the financing variable with a coefficient of 0.286 (p-value = 0.041). These findings highlight that the sustainability of Jalupang Landfill is largely determined by strengthening regulatory aspects and ensuring adequate financial support.