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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.
Evaluating Chemical/Oil Tanker Investments using DEMATEL and ANP: A Case Study in PT ABC Hendriyadi Hendriyadi; Udisubakti Ciptomulyono; Anak Agung Bagus Dinariyana
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.921

Abstract

Investment in chemical/oil tankers is crucial for enhancing operational performance and maintaining competitiveness in the global shipping industry. The background of this research is the need to provide solutions to challenges in ship investments that often fail to meet targets, whether in technical performance, compliance with international regulations, or cost efficiency. These conditions affect the competitiveness of companies, as most chemical/oil tanker fleets are over 15 years old, require high maintenance costs, and pose risks of detention by Port State Control (PSC) and rejection by major oil companies. The methodological approach is the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) to analyze the selection of chemical/oil tanker ship investments. DEMATEL is used to identify cause-effect relationships so that dominant factors can be prioritized. Once the dominant factors are obtained, ANP processes the relationships and dependencies among criteria in the network model and determines more precise weighting. Subsequently, priority calculations are carried out by constructing a supermatrix that encapsulates the relationships among elements. This supermatrix is analyzed to produce final priorities for determining the best alternative. The research data were collected through questionnaires and interviews with stakeholders, including top management and experts. DEMATEL revealed key influencing factors such as Initial Investment, Operating Costs, Regulatory Compliance, Market and Geopolitical Risks, and Technological Risks. These factors are analyzed in the ANP method to obtain a model, network, and pairwise comparisons.
Analytic Network Process (Anp) And Benefit Cost Opportunity Risk (Bcor) Approach For Selecting Sustainable Water Quality Management Strategies Teguh Bayu Aji Dwi Driyatmoko; Udisubakti Ciptomulyono
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.926

Abstract

Water resource management faces complex challenges in decision-making, particularly in selecting effective strategies to restore polluted river water quality. Kali Surabaya, as a strategic water source, has experienced quality deterioration due to domestic and industrial pollution, compounded by climate change pressures. Recent assessments indicate mild pollution with several parameters not meeting quality standards. Given resource constraints and rising demands for class I and II raw water, a systematic approach is necessary to determine the optimal recovery strategies. This study employs the Analytic Network Process (ANP) method integrated with the Benefit, Cost, Opportunity, and Risk (BCOR) framework to evaluate interrelated criteria and sub-criteria, identifying strategic priorities specifically in the Kali Tengah segment, which faces considerable pollution pressure. Based on literature review, water quality data, and expert questionnaire results, the primary criteria identified for strategy selection show Benefit (0.4127) as the highest priority, followed by Opportunity (0.23118), Cost (0.1292), and Risk (0.0695). The recommended strategies with optimistic scenario values include establishing communal industrial wastewater treatment (10.8102), applying nanobubble technology (0.6534), and periodic flushing (0.1396). Considering sustainability aspects (economic, social & environmental), this integrated approach aims to enhance long-term water quality management efforts
Green Manufacturing Approach for Waste Management in Flare Recovery Unit (FRU) Moh Zainal Arifin; Udisubakti Ciptomulyono
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.957

Abstract

Service Quality Improvement for Radio Frequency Spectrum Usage Monitoring at Balai Monitor Class I Surabaya Using SERVQUAL and AHP Methods Dyah Novitasari; Udisubakti Ciptomulyono
Journal Research of Social Science, Economics, and Management Vol. 5 No. 1 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i1.972

Abstract

Technological advancements have increased quality demands for frequency spectrum monitoring services. Balmon Surabaya, a UPT under Permenkominfo No. 1 of 2022, supervises the radio frequency spectrum in East Java. However, challenges such as declining monitoring results, numerous complaints, and ineffective disturbance handling have emerged. This study evaluates service quality gaps and proposes improvement strategies for radio frequency spectrum monitoring at Balai Monitor Class I Surabaya using integrated SERVQUAL and AHP methodologies. A quantitative survey collected data from 81 non-major user service recipients through structured questionnaires covering five service dimensions: tangibles, reliability, responsiveness, assurance, and empathy. Data analysis employed SERVQUAL gap analysis, Importance-Performance Analysis (IPA), and Analytical Hierarchy Process (AHP), integrated via Quality Function Deployment (QFD). Results revealed negative gaps between user perceptions and expectations across all dimensions, notably tangibles (-0.60), responsiveness (-0.60), reliability (-0.56), and assurance (-0.52). IPA identified six critical attributes in Quadrant I needing urgent attention. AHP prioritized these, with “information on disturbance handling timing” receiving the highest weight (41%). The study recommends five priorities for improvement: enhancing digital and interactive service media; strengthening monitoring and maintenance infrastructure; finalizing operational standards for procedures and service times; digitizing complaint systems with automatic progress updates; and visualizing disturbance handling progress on the user dashboard. These findings provide practical guidance to improve public service quality in frequency spectrum management, supporting more effective wireless communication supervision and lowering interference incidents in East Java.
Process Improvement of Rotary Kiln (RK) Technology with Electric ARC Furnace (EAF) at PT Sebuku Iron Lateritic Ores Using a Technometric Approach Koko Srihandoko; Udisubakti Ciptomulyono; Maranatha Wijayaningtyas
Journal Research of Social Science, Economics, and Management Vol. 5 No. 1 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i1.1004

Abstract

This study aims to assess the contribution of RK and EAF technologies using a technometric approach, focusing on four technological components: Technoware, Humanware, Inforware, and Orgaware (THIO). Furthermore, the study analyzes the economic feasibility of both systems using financial indicators and sensitivity risk analysis. The methodology includes calculating the Technology Contribution Coefficient (TCC) for each technology based on the degree of sophistication, state of the art, and intensity of use. Additionally, the economic analysis employs indicators such as Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost Ratio (B/C Ratio), and Payback Period, along with sensitivity analysis on cost and interest rate variables. The results show that both technologies fall into the semi-modern category, with TCC values of 0.7588 for RK and 0.7563 for EAF. However, Humanware in RK and Inforware in EAF are identified as the weakest contributing components, highlighting priority areas for improvement. From an economic perspective, EAF outperforms RK across all financial indicators under both optimistic and pessimistic scenarios. These findings lead to a recommendation for a gradual transformation from RK to EAF, emphasizing workforce development, information system digitization, and technological management enhancement. The primary output of this research is the development of a technology contribution assessment model based on technometric analysis, integrated with economic feasibility evaluation, providing a strategic foundation for more precise technology and investment decision-making in the mineral processing industry.