Implementation of the Analytical Hierarchy Process (AHP) with AI-Assisted Validation for Waste Processing Method Selection
DOI:
https://doi.org/10.47065/bulletincsr.v6i4.1227Keywords:
Waste Management; Analytical Hierarchy Process; Multi-Criteria Decision Making; Artificial Intelligence; Composting; Sanitary LandfillAbstract
The increasing volume of municipal solid waste in Sumenep Regency has created significant challenges for local authorities in selecting an effective and sustainable waste treatment method. The selection process requires consideration of multiple criteria, including economic, technical, environmental, social, labor, and material recovery aspects. Therefore, this study aims to determine the most suitable waste processing method by applying the Analytical Hierarchy Process (AHP) as the primary decision-making approach and an AI-assisted validation approach as a comparative evaluation tool. The AHP method was used to calculate the relative importance of criteria and rank three waste treatment alternatives, namely Composting, Sanitary Landfill, and Incineration, based on expert judgments. To strengthen the reliability of the decision-making process, an AI-assisted evaluation using a Large Language Model (LLM) was conducted to assess the same alternatives according to the established criteria and compare the resulting rankings with those obtained from AHP. The results of the AHP analysis indicate that Composting has the highest priority weight of 48.0%, followed by Sanitary Landfill with 33.5% and Incineration with 18.5%. Similarly, the AI-assisted evaluation generated the highest score for Composting (0.9835), followed by Sanitary Landfill (0.6130) and Incineration (0.6025). The consistency between the rankings produced by AHP and the AI-assisted assessment demonstrates the robustness of the selected alternative. The findings suggest that Composting is the most appropriate waste treatment method for Sumenep Regency due to its superior environmental performance, social acceptance, and material recovery potential. Furthermore, the study highlights the potential of AI-assisted evaluation as a supporting validation tool for enhancing multi-criteria decision-making in waste management planning.
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References
Z. Zhang et al., “Municipal solid waste management challenges in developing regions: A comprehensive review and future perspectives for Asia and Africa,” Sci. Total Environ., vol. 930, p. 172794, Jun. 2024, doi: 10.1016/j.scitotenv.2024.172794.
D. V. Pheakdey, N. V. Quan, T. D. Khanh, and T. D. Xuan, “Challenges and Priorities of Municipal Solid Waste Management in Cambodia,” Int. J. Environ. Res. Public. Health, vol. 19, no. 14, p. 8458, Jul. 2022, doi: 10.3390/ijerph19148458.
I. R. Abubakar et al., “Environmental Sustainability Impacts of Solid Waste Management Practices in the Global South,” Int. J. Environ. Res. Public. Health, vol. 19, no. 19, p. 12717, Oct. 2022, doi: 10.3390/ijerph191912717.
Wiharja et al., “Research on the matching relationship of municipal solid waste management and alternative fuel in Indonesia’s cement industry,” Case Stud. Chem. Environ. Eng., vol. 11, p. 101098, Jun. 2025, doi: 10.1016/j.cscee.2025.101098.
Abdul Hakim Zakkiy Fasya, Mursyidul Ibad, Kuuni Ulfah Naila El Muna, Shofi Futri Pratiwi, and Shofiyah Ajeng Sekar Arum, “A Systematic Review of Solid Waste Management in Indonesia: Generation, Characteristics, Treatment, and Regulation,” J. Kesehat. Lingkung., vol. 17, no. 4, pp. 333–342, Oct. 2025, doi: 10.20473/jkl.v17i4.2025.333-342.
D. Hariyani, P. Hariyani, S. Mishra, and M. K. Sharma, “A literature review on waste management treatment and control techniques,” Sustain. Futur., vol. 9, p. 100728, Jun. 2025, doi: 10.1016/j.sftr.2025.100728.
B. Ravichandran and M. Balasubramanian, “A comprehensive review on sustainability evaluation of joining methods for engineering materials,” Mater. Today Sustain., vol. 31, p. 101151, Sep. 2025, doi: 10.1016/j.mtsust.2025.101151.
A. R. Elasaly and J. Bogacki, “Application of multi-criteria analysis for selecting the most sustainable industrial wastewater treatment technology,” Clean. Water, vol. 5, p. 100225, Mar. 2026, doi: 10.1016/j.clwat.2026.100225.
E. Walling and C. Vaneeckhaute, “Developing successful environmental decision support systems: Challenges and best practices,” J. Environ. Manage., vol. 264, p. 110513, Jun. 2020, doi: 10.1016/j.jenvman.2020.110513.
G. Guidi, G. Goffo, and A. C. Violante, “Application of the Analytic Hierarchy Process (AHP) method to identify the most suitable approach for managing irradiated graphite,” Nucl. Eng. Technol., vol. 56, no. 11, pp. 4820–4825, Nov. 2024, doi: 10.1016/j.net.2024.06.045.
V. Fernández Ocamica, D. Zambrana-Vasquez, and J. C. Díaz Murillo, “Optimizing Circular Economy Choices: The Role of the Analytic Hierarchy Process,” Sustainability, vol. 17, no. 15, p. 6759, Jul. 2025, doi: 10.3390/su17156759.
Z. Moustafa, M. Luqman, I. Y. Wuni, M. Zami, and M. Asif, “An integrated system dynamics-AHP-TOPSIS framework for green innovation in sustainable building materials: Application to a rapidly urbanizing economy,” Results Eng., vol. 29, p. 108998, Mar. 2026, doi: 10.1016/j.rineng.2026.108998.
M. Soori, F. K. G. Jough, R. Dastres, and B. Arezoo, “AI-based decision support systems in Industry 4.0, a review,” J. Econ. Technol., vol. 4, pp. 206–225, Jan. 2026, doi: 10.1016/j.ject.2024.08.005.
D. Upadhyay, A. Kumar, S. Pant, K. Kotecha, and A. Abraham, “Machine learning assisted multi-criteria decision-making approaches for site selection: A systematic review,” MethodsX, vol. 17, p. 104007, Dec. 2026, doi: 10.1016/j.mex.2026.104007.
M. A. Mujtaba et al., “Evaluating sustainable municipal solid waste management scenarios: A multicriteria decision making approach,” Heliyon, vol. 10, no. 4, p. e25788, Feb. 2024, doi: 10.1016/j.heliyon.2024.e25788.
P. Lin, Q. Deng, and Y. Zhou, “Towards responsible AI in education: A Delphi-AHP-based framework for evaluating educational large language models,” Comput. Educ. Artif. Intell., vol. 10, p. 100534, Jun. 2026, doi: 10.1016/j.caeai.2025.100534.
T. Adu, L. Mensah, M. Rockson, and F. Kemausuor, “Decision support systems for waste-to-energy technologies: A systematic literature review of methods and future directions for sustainable implementation in Ghana,” Heliyon, vol. 11, p. e42353, Feb. 2025, doi: 10.1016/j.heliyon.2025.e42353.
A. U. Farahdiba, I. D. A. A. Warmadewanthi, Y. Fransiscus, E. Rosyidah, J. Hermana, and A. Yuniarto, “The present and proposed sustainable food waste treatment technology in Indonesia: A review,” Environ. Technol. Innov., vol. 32, p. 103256, Nov. 2023, doi: 10.1016/j.eti.2023.103256.
Aisyah Sisilia Pratyaningrum, Arni Dwi Yuni Astuti, Rona Muna Azizi, Safna Fathin Al-Zuhroh, Muchamad Ifan Maulana, and Apriliana Drastisianti, “3R Training as an Educational Tool to Change Perceptions and Attitudes Towards Waste Management,” Pros. Semin. Nas. Pendidik. Bhs. SASTRA SENI DAN BUDAYA, vol. 3, no. 1, pp. 281–290, May 2024, doi: 10.55606/mateandrau.v3i1.2061.
Thammasat University, P. Chompook, J. Roemmontri, Thammasat University, A. Ketsakorn, and Thammasat University, “The Application Of Analytic Hierarchy Process (Ahp) For Selecting Community Problems: Multicriteria Decision- Making Approach On Environmental Health Aspects,” J. Sustain. Sci. Manag., vol. 18, no. 10, pp. 138–149, Oct. 2023, doi: 10.46754/jssm.2023.10.009.
S. Carpitella, V. Kratochvíl, and M. Pišt?k, “Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems,” Comput. Ind. Eng., vol. 198, p. 110661, Dec. 2024, doi: 10.1016/j.cie.2024.110661.
V. G. Muzaber, A. Gallardo, and F. J. Colomer-Mendoza, “Use of the analytic hierarchy process (AHP) to select the most appropriate laboratory reactor design for biodrying waste,” Results Eng., vol. 29, p. 109780, Mar. 2026, doi: 10.1016/j.rineng.2026.109780.
R. Alsabt, W. Alkhaldi, Y. A. Adenle, and H. M. Alshuwaikhat, “Optimizing waste management strategies through artificial intelligence and machine learning - An economic and environmental impact study,” Clean. Waste Syst., vol. 8, p. 100158, Aug. 2024, doi: 10.1016/j.clwas.2024.100158.
M. AKBAS and F. D. AKIN, “A comparative weighting analysis using AHP and CRITIC for recycled pavement material selection: A case study from Istanbul,” Results Eng., vol. 27, p. 106837, Sep. 2025, doi: 10.1016/j.rineng.2025.106837.
V. Guillén-Mena, F. Quesada-Molina, S. Astudillo-Cordero, M. Lema, and J. Ortiz-Fernández, “Lessons learned from a study based on the AHP method for the assessment of sustainability in neighborhoods,” MethodsX, vol. 11, p. 102440, Dec. 2023, doi: 10.1016/j.mex.2023.102440.
X. Xu, R. Liu, and E. D. Serrano, “An analytic hierarchy process–based prioritization of psychological factors influencing academic performance among university students in China,” Sci. Rep., vol. 16, no. 1, p. 7241, Feb. 2026, doi: 10.1038/s41598-026-38343-8.
I. Canco, D. Kruja, and T. Iancu, “AHP, a Reliable Method for Quality Decision Making: A Case Study in Business,” Sustainability, vol. 13, no. 24, p. 13932, Dec. 2021, doi: 10.3390/su132413932.
A. H. Nasyuha, H. Tujantri, O. Veza, S. Nurarif, and M.-Y. Chung, “Comparison of WSM and Weight Product Methods with WSM-Score and Vector Approaches,” Sinkron, vol. 9, no. 2, pp. 948–956, Jun. 2025, doi: 10.33395/sinkron.v9i2.14817.
J. Wi?ckowski’ and W. Sa?abun, “How the normalization of the decision matrix influences the results in the VIKOR method?,” Procedia Comput. Sci., vol. 176, pp. 2222–2231, 2020, doi: 10.1016/j.procs.2020.09.259.
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