Development of a Web-Based Performance Index Assessment System for Hazardous and Toxic Waste Management
DOI:
https://doi.org/10.61255/jupiter.v4i2.1024Keywords:
Hazardous And Toxic Waste Management, Performance Assessment System, Performance Index, Digital Application, Environmental Impact AssessmentAbstract
Purpose: This study aims to develop a web-based performance index assessment system for hazardous and toxic waste management by integrating technical and supporting indicators using the Multi-Criteria Decision Making (MCDM) and Analytic Hierarchy Process (AHP) approaches. The study also examines the system’s role in supporting transparent environmental evaluation and applied environmental learning. Methods: A quantitative research and development approach was employed using the MCDM-AHP method. Data were collected through literature review, regulatory analysis, expert judgment involving five environmental experts, and system simulations on three industrial entities with different waste management characteristics. The system was developed using a Python-Django framework and PostgreSQL database. Findings: The results indicate that the developed system provides objective, transparent, and consistent environmental performance assessments, with performance index values ranging from 60% to 92%. Industrial entities with higher levels of digitalization and standardized environmental management systems achieved better performance scores. The integration of environmental impact assessment also improved risk identification and monitoring effectiveness. Research Implications: The findings imply that digital-based environmental assessment systems can strengthen accountability, operational efficiency, and data-driven decision-making in hazardous waste management. However, the study is limited by the small number of expert respondents and simulation entities, which may affect broader generalizability. Originality: This study offers a novel contribution by integrating environmental performance indicators, MCDM-AHP analysis, and a web-based digital assessment platform into a unified hazardous waste management evaluation system that can also support applied environmental education and sustainability-oriented industrial governance.
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References
Al Fozaie, M. T., & Wahid, H. (2022). A guide to integrating expert opinion and fuzzy AHP when generating weights for composite indices. Advances in Fuzzy Systems, 2022(1), 3396862.
Ali, S. S., Torğul, B., Paksoy, T., Luthra, S., & Kayikci, Y. (2024). A novel hybrid decision‐making framework for measuring Industry 4.0‐driven circular economy performance for textile industry. Business Strategy and the Environment, 33(8), 7825–7854.
Emadi, J. (2023). The Development of a Design Theory for Web Based Information Systems. Journal of Robotics Spectrum, 1, 13–23.
Farouk, A. M., Radzi, A. R., Romali, N. S., Farouk, M., Elgamal, M., Hassan, R., Omer, M. M., & Rahman, R. A. (2024). Performance indicators for assessing environmental management plan implementation in water projects. Sustainability, 16(8), 3146.
Haile, M. B., & Singh, S. (2025). Linking Corporate Environmental Strategy to Environmental Performance: The Mediating Role of Employee Green Behavior and the Moderating Effect of Environmental Concern. Business Strategy & Development, 8(4), e70215.
Hamidah, M., Hasmadi, I. M., Chua, L. S. L., Yong, W. S. Y., Lau, K. H., Faridah-Hanum, I., & Pakhriazad, H. Z. (2022). Development of a protocol for Malaysian important plant areas criterion weights using multi-criteria decision making-analytical hierarchy process (MCDM-AHP). Global Ecology and Conservation, 34, e02033.
Kumar, M., & Nandal, R. (2024). Role of Python in rapid web application development using Django. Available at SSRN 4751833.
Lutfi, A., Alqudah, H., Alrawad, M., Alshira’h, A. F., Alshirah, M. H., Almaiah, M. A., Alsyouf, A., & Hassan, M. F. (2023). Green environmental management system to support environmental performance: what factors influence SMEs to adopt green innovations? Sustainability, 15(13), 10645.
Madanchian, M., & Taherdoost, H. (2025). Applications of multi-criteria decision making in information systems for strategic and operational decisions. Computers, 14(6), 208.
Marfe, G., Perna, S., & Hermann, A. (2024). Addressing Hazardous Waste Management as a Means to Achieving the Sustainable Development Goal 3. In Integrated Science for Sustainable Development Goal 3: Universal Good Health and Well-Being (pp. 245–268). Springer.
Marrucci, L., Daddi, T., & Iraldo, F. (2024). Creating environmental performance indicators to assess corporate sustainability and reward employees. Ecological Indicators, 158, 111489.
Peng, Y., Ahmad, S. F., Irshad, M., Al-Razgan, M., Ali, Y. A., & Awwad, E. M. (2023). Impact of digitalization on process optimization and decision-making towards sustainability: The moderating role of environmental regulation. Sustainability, 15(20), 15156.
Phiri, Y., & Mupeta, M. (2022). Design and Development of an e-Waste Management System.
Priandani, A., Sulaeman, M., Sutrisno, E., Khumayah, S., & Prayitno, A. (2025). Monitoring and Evaluation of Pharmaceutical Management Policy to Achieve Administrative Order in Public Service Delivery. TEC EMPRESARIAL, 20(2), 301–320.
Qian, G., Duanmu, C., Ali, N., Khan, A., Malik, S., Yang, Y., & Bilal, M. (2022). Hazardous wastes, adverse impacts, and management strategies: a way forward to environmental sustainability. Environment, Development and Sustainability, 24(8), 9731–9756.
Radzi, A. R., Farouk, A. M., Romali, N. S., Farouk, M., Elgamal, M., & Rahman, R. A. (2024). Assessing environmental management plan implementation in water supply construction projects: Key performance indicators. Sustainability, 16(2), 600.
Rahiel, N., Addouche, S., El Mhamedi, A., & Hachemi, K. (2025). Mathematical Modeling of Supply Chain Resilience: Structure, Dynamics, and Indicator-Based Evaluation. International Conference on Innovative Intelligent Industrial Production and Logistics, 152–168.
Rauniar, R., Rawski, G., Cao, Q. R., & Shah, S. (2024). Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes. Journal of Enterprise Information Management, 37(3), 928–958.
Soniya, S., Ramachandran, M., Sathiyaraj, C., & Mathivanan, G. (2022). A review on multi-criteria decision-making and its application. 4, 7(4), 101–107.
Strzelecka, C. (2025). Green-digital transition in municipal waste management: Ethnographic perspective on ‘smart’waste monitoring and management system. Environmental Science & Policy, 167, 104037.
Teow, C. K., Junzhe, M., & Mee, C. K. (2024). Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management. Journal of Business and Social Sciences, 2024.
Zhang, X., Qiao, W., Lu, Y., Sun, S., & Yin, Q. (2023). Construction and application of urban water system connectivity evaluation index system based on PSR-AHP-Fuzzy evaluation method coupling. Ecological Indicators, 153, 110421.
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