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Environmental Impact Reduction Analysis on PT XYZ Asphalt Production using Life Cycle Assessment (LCA) and Analytical Hierarchy Process Method (AHP) Putri Tandriani Sundana; Udisubakti Ciptomulyono
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3098

Abstract

Research was conducted on the environmental impact analysis of the asphalt production process at PT XYZ, with the aim of identifying and determining the magnitude of the environmental impact of asphalt production. It also aimed to identify alternative strategies to reduce the environmental impact of asphalt production. The data used consists of primary and secondary data. The analysis method to determine the magnitude of the environmental impact of asphalt production was carried out using the LCA (Life Cycle Assessment) method with the ReCiPe 2026 Midpoint and Endpoint methods. Meanwhile, the analysis of the environmental impact reduction program was carried out using the AHP (Analytical Hierarchy Process) method with Expert Choice 11. The production process of 1 metric ton of asphalt distributed at PT XYZ produces endpoint impacts including human health of 63,062.033 Pt, ecosystem of 8,440.988 Pt, and resources of 72.541 Pt. Meanwhile, the most dominant midpoint impact is global warming, with a characterization value of 5,360,044.8 kg CO? eq. The unit with the highest impact contribution is the storage unit, due to its high electricity consumption. Uncertainty analysis or Monte Carlo simulation was performed on the data using the dataset. Based on the uncertainty analysis conducted on the grave, it is known that 1 metric ton of distributed asphalt produces an ecosystem environmental impact of between 171,651.00 and 417,824.27 Pt, human health between 2,181,108.80 and 3,917,701.50 Pt, and resource between 117,301.19 and 243,365.28 Pt. The environmental program priority selected through the AHP method is the “Automation of Heater Switch On/Off Shutdown with Temperature Sensor” program. This program can reduce the midpoint global warming impact by 16.7%, the endpoint human health impact by 16.7%, and the ecosystem impact by 16.7%.
Identifying and evaluating sustainability risks in circular business models: Empirical insights from the heavy equipment manufacturing industry Yudi Syahrullah; Udisubakti Ciptomulyono; Ratna Sari Dewi
Mechanical Engineering for Society and Industry Vol. 6 No. 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.15120

Abstract

Circular business models (CBMs) are increasingly being adopted in heavy equipment manufacturing to extend the value of end-of-life (EoL) components through recovery practices. However, existing sustainability risk assessments largely rely on generic literature-based risk lists without verifying their contextual relevance to specific industries. This study addresses this gap by systematically exploring and validating sustainability risks that are specifically relevant to circular manufacturing in the heavy equipment sector. An initial set of 32 sustainability risks was identified through literature review and cross-industry exploration. These sustainability risks were then evaluated using the Fuzzy Delphi Method (FDM) to manage uncertainty and establish expert consensus on their relevance to circular business models in the heavy equipment manufacturing sector. Based on the consensus criteria (d < 0.2; agreement ≥ 75%), 14 risks were validated as contextually relevant. The findings reveal that the most critical risks are concentrated in key circular activities, particularly those related to occupational health and safety hazards in EoL component recovery, and inaccurate or insufficient evaluation of the quality of components or products to be recovered. The main contribution of this study lies in moving beyond generic sustainability risk identification toward context-specific validation of sustainability risks in circular manufacturing. By filtering and confirming sustainability risks that truly reflect industrial realities, the results provide a robust foundation for targeted sustainability risk assessment and mitigation. Practically, the validated sustainability risk set provides decision-makers and engineers with a more precise basis for prioritizing sustainability risks and enhancing the resilience of circular manufacturing systems.