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Prathama, Kevin Aditya
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Industrial & Manufacturing Engineering

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ASSESSING ENVIRONMENTAL IMPACTS AND CIRCULARITY POTENTIAL IN BEEF PROCESSING USING LIFE CYCLE ASSESSMENT Prathama, Kevin Aditya; Tama, ishardita Pambudi; Kusumaningdyah, Widha
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study explores the environmental impact of beef processing operations in Surabaya, Indonesia, through the integration of Circular Economy (CE) principles and the Life Cycle Assessment (LCA) method. The analysis focuses on one of the largest slaughterhouses in East Java, examining four main stages: cattle reception, slaughtering, meat processing, and packaging. Using the ReCiPe 2016 Midpoint (H) method within OpenLCA software and the ELCD database, the study evaluates material and energy flows per functional unit of 1 metric ton of beef. The results reveal that the system is heavily dependent on fossil-based electricity and water resources, with significant greenhouse gas emissions, high freshwater usage, and unmanaged organic waste. The Global Warming Potential (GWP) category recorded the highest environmental impact, followed by fossil resource scarcity and terrestrial ecotoxicity. Waste management practices remain linear, with limited reuse or recycling efforts, while solid and liquid wastes are discharged without internal recovery processes. Benchmarking shows a considerable gap in sustainability performance compared to developed countries. The findings underscore the need for technological improvements, such as anaerobic digestion, renewable energy integration, and material recovery strategies. Implementing circular economy interventions would not only reduce environmental burdens but also add economic value through by-product utilization. This study offers critical insights for improving sustainability and resource efficiency in Indonesia’s beef industry by transitioning from linear to circular production models.
UNDERSTANDING COGNITIVE LOAD IN HUMAN-MACHINE INTERACTIONS AT MRT TICKET VENDING MACHINES: A NASA TLX EVALUATION Sugiono, Sugiono; Lukodono, Rio Prasetyo; Sudjono, Harry; Prathama, Kevin Aditya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The provision of Mass Rapid Transit (MRT) and its supporting facilities in Jakarta necessitates an analysis of their user-friendliness for passengers. These facilities include information on various locations such as toilets, mosques, MRT card counters, ticket vending machines (TVMs), and signage directing passengers to the MRT. TVMs are machines that enable passengers to purchase MRT tickets and top up their card balances. A crucial aspect of evaluating TVM performance is assessing their user-friendliness, which is determined by the ease with which passengers can understand and operate them. This study aims to analyze the user-friendliness of TVMs at MRT stations using the NASA TLX approach. NASA TLX evaluates the impact of using TVMs based on mental, physical, and temporal demands, as well as performance, effort, and frustration. Data were collected through accidental sampling of respondents aged 18 - 28. The NASA TLX questionnaire explored users' cognitive perceptions of the TVMs' displays and procedures. The results will reveal how the factors measured by NASA TLX influence the interaction between passengers and TVMs at MRT stations. The findings will provide recommendations for MRT managers to enhance TVM designs and modify display procedures to improve user satisfaction.
Co-Authors Harry Sudjono, Harry Ishardita Pambudi Tama Kusumaningdyah, Widha Rio Prasetyo Lukodono Sugiono Sugiono