A Systematic Literature Review of AHP–TOPSIS Applications in Decision Support Systems
DOI:
https://doi.org/10.55537/jistr.v5i2.1483Keywords:
AHP, Decision Support System, TOPSIS, Multi-Criteria Decision MakingAbstract
Decision Support Systems (DSS) increasingly utilize Multi-Criteria Decision Making (MCDM) methods to address complex decision problems involving multiple and often conflicting criteria. Among these methods, the AHP–TOPSIS hybrid approach has gained significant attention due to its ability to combine structured criteria weighting with objective alternative ranking. However, existing studies are generally fragmented and domain-specific, limiting a comprehensive understanding of its application trends and methodological patterns. This study aims to provide a systematic synthesis of AHP–TOPSIS applications in DSS through a Systematic Literature Review (SLR). The review follows PRISMA guidelines and analyzes 20 journal articles published between 2014 and 2025, sourced from Google Scholar, Garuda, and SINTA databases, with limited support from Scopus-indexed references. The results show a notable increase in publications after 2020, indicating the growing importance of data-driven and transparent decision-making in the context of Industry 4.0 and 5.0. The majority of studies focus on selection and ranking problems, particularly in education, human resource management, and industrial applications. A consistent methodological pattern is observed, where AHP is used for determining criteria weights and TOPSIS is applied for ranking alternatives. This study contributes by providing a cross-domain perspective on the use of AHP–TOPSIS, highlighting its methodological consistency, adaptability, and practical relevance. The findings also suggest opportunities for future research, particularly in integrating AHP–TOPSIS with advanced approaches such as fuzzy logic and intelligent systems to address uncertainty and dynamic decision environments
Downloads
References
[1] T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Services Sciences, 2008. DOI: https://doi.org/10.1504/IJSSCI.2008.017590
[2] C.-L. Hwang and K. Yoon, Multiple Attribute Decision Making: Methods and Applications. Berlin, Germany: Springer, 1981.
[3] M. Abdel-Basset, R. Mohamed, and V. Chang, “A multi-criteria decision-making framework to evaluate the impact of Industry 5.0 technologies: Case study, lessons learned, challenges and future directions,” Information Systems Frontiers, vol. 27, no. 2, pp. 791–821, Apr. 2025,doi: https://doi.org/10.1007/s10796-024-10472-3
[4] M. D. Irawan and M. R. Fasya, “Kombinasi AHP–TOPSIS untuk pemilihan dosen terbaik berdasarkan metrik SINTA,” Sistem Pendukung Keputusan dengan Aplikasi, vol. 3, no. 1, pp. 1–12, Mar. 2024, doi: https://doi.org/10.55537/spk.v3i1.751
[5] A. Kolios, V. Mytilinou, E. Lozano-Minguez, and K. Salonitis, “A comparative study of multiple-criteria decision-making methods under stochastic inputs,” Energies, vol. 9, no. 7, p. 566, 2016, doi: https://doi.org/10.3390/en9070566.
[6] S. H. Zanakis, A. Solomon, N. Wishart, and S. Dublish, “Multi-attribute decision making: A simulation comparison of select methods,” European Journal of Operational Research, 1998, doi: 10.1016/S0377-2217(97)00147-1.
[7] M. Z. Katili, L. N. Amali, and M. S. Tuloli, “Implementasi metode AHP–TOPSIS dalam sistem pendukung rekomendasi mahasiswa berprestasi,” Jambura Journal of Informatics, vol. 3, no. 1, 2021, doi: https://doi.org/10.37905/jji.v2i2.10246
[8] O. Sahin and B. Aksoy, “A combined AHP–TOPSIS-based decision support system for highway pavement type selection,” Sustainability, vol. 17, no. 21, Nov. 2025, doi: https://doi.org/10.3390/su17219396
[9] Y. Liu et al., “Multi-criteria decision-making framework (AHP–TOPSIS): Pavement preventive maintenance case study for ordinary national trunk highways,” Buildings, vol. 14, no. 10, Oct. 2024, doi: 10.3390/buildings14103048
[10] D. I. Handayani et al., “The future of supplier selection: Integrating bibliometric intelligence and MCDM in the perishable agro-industry,” Jurnal Manajemen dan Agribisnis, vol. 22, no. 2, p. 158, Jul. 2025, doi: https://doi.org/10.17358/jma.22.2.158
[11] Y. Liu, G. Li, and T. Zhang, “A hybrid AHP–TOPSIS method for evaluating sustainable supply chain performance,” Sustainability, vol. 13, no. 3, 2021.
[12] A. Mardani, A. Jusoh, K. M. D. Nor, Z. Khalifah, N. Zakwan, and A. Valipour, “Multiple criteria decision-making techniques and their applications: A review of the literature from 2000 to 2014,” Economic Research–Ekonomska Istraživanja, Sep. 2015
[13] R. Kumar and D. Pamucar, “A comprehensive and systematic review of multi-criteria decision-making (MCDM) methods to solve decision-making problems: Two decades from 2004 to 2024,” Spectrum of Decision Making and Applications, vol. 2, no. 1, pp. 177–196, 2025. doi: https://doi.org/10.31181/sdmap21202524
[14] E. K. Zavadskas et al., “Hybrid multiple-criteria decision-making methods: A review of applications in engineering,” Scientia Iranica, vol. 23, no. 1, pp. 1–20, 2016.
[15] S. Kumar et al., “A hybrid AHP–TOPSIS framework for evaluating smart city development,” Sustainable Cities and Society, vol. 75, 2021.
[16] X. Wang and Q. Duan, “Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines,” Petroleum Science, vol. 16, no. 6, pp. 1479–1492, 2019.
[17] M. Keshavarz-Ghorabaee et al., “A systematic review of MCDM applications in sustainability problems,” Sustainability, vol. 14, 2022.
[18] Ningsiah, N. Aminudin, S. Ariyanti, and R. Abbasov, “An Intelligence-Oriented System Architecture for Integrated Pharmaceutical Data Analytics and Decision Support,” Journal of Information System and Technology Research, vol. 5, no. 1, pp. 34–43, Jan. 2026 DOI: 10.55537/jistr.v5i1.1461
[19] I. Fajar, S. R. Yahya, F. A. Bohani, and N. N. Yusof, “A Web-Based Decision Support System for Inventory Procurement Optimisation Using Pareto Analysis,” Journal of Information System and Technology Research, vol. 5, no. 1, pp. 157–167, Jan. 2026 DOI: 10.55537/jistr.v5i1.1447
[20] A. P. R. Pinem, A. Hendrawan, and N. Wakhidah, “The comparative analysis of multi-criteria decision-making methods (MCDM) in priorities of industrial location development,” Infotel, vol. 16, no. 4, pp. xx–xx, Dec. 2024, doi: https://doi.org/10.20895/infotel.v16i4.1099
[21] R. Govindan and M. Jepsen, “Supplier selection using hybrid MCDM approaches: A systematic review,” Transportation Research Part E, vol. 148, 2021.
[22] M. Sequeira, A. Adlemo, and P. Hilletofth, “A hybrid fuzzy AHP–TOPSIS model for evaluation of manufacturing relocation decisions,” Operations Management Research, vol. 16, no. 1, pp. 164–191, Mar. 2023, doi: https://doi.org/10.1007/s12063-022-00284-6
[23] V. Bafandegan Emroozi, M. Kazemi, A. Pooya, and M. Doostparast, “Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach,” Human Factors and Ergonomics in Manufacturing & Service Industries, Oct. 2024, doi: https://doi.org/10.1002/hfm.21057
[24] B. Kitchenham and S. Charters, Guidelines for Performing Systematic Literature Reviews in Software Engineering. Keele University and Durham University Joint Report, 2007.
[25] M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” BMJ, vol. 372, n71, 2021, doi: https://doi.org/10.1136/bmj.n71
[26] N. F. Husnaini, “Sistem pendukung keputusan berbasis web dengan metode AHP–TOPSIS untuk pengukuran tingkat kesejahteraan masyarakat pesisir,” Computer Journal, vol. 3, no. 1, pp. 51–60, Feb. 2025, doi: https://doi.org/10.58477/cj.v3i1.204
[27] R. D. Mainingsih, M. Hamka, “Sistem pendukung keputusan untuk menentukan penerima bantuan beasiswa dengan metode AHP dan TOPSIS,” vol. 18, no. 1, 2021.
[28] W. Chanpuypetch, J. Niemsakul, W. Atthirawong, and T. Supeekit, “An integrated AHP–TOPSIS approach for bamboo product evaluation and selection in rural communities,” Decision Analytics Journal, vol. 12, Sep. 2024, doi: https://doi.org/10.1016/j.dajour.2024.100503
[29] D. M. Inafaha, “Simulasi Sistem Pendukung Keputusan Berbasis Analytic Hierarchy Process (AHP) sebagai Alat Bantu Seleksi Karyawan Berprestasi,” Journal of Education and Informatics Research, vol. 6, no. 2, pp. 67–75, 2025. Doi : https://doi.org/10.21107/jedumatic.v6i2.31918
[30] L. Isyriyah et al., “Sistem pendukung keputusan penentuan lokasi usaha kuliner menggunakan metode AHP dan TOPSIS,” Jurnal Teknologi dan Manajemen Informatika, vol. 10, no. 2, pp. 176–186, 2024.
[31] N. B. Puspitasari and V. Febriani, “Integration of the AHP–TOPSIS approach in material supplier selection,” in E3S Web of Conferences. EDP Sciences, Apr. 2024, doi: https://doi.org/10.1051/e3sconf/202451706005
[32] H. Nouib et al., “Predicting graduate employability using hybrid AHP–TOPSIS and machine learning: A Moroccan case study,” Technologies, vol. 13, no. 9, Sep. 2025, doi: https://doi.org/10.3390/technologies13090385
[33] F. Sulistiyaningsih, “Sistem pendukung keputusan dalam menentukan kelayakan pinjaman karyawan menggunakan AHP–TOPSIS pada PT XYZ,” Jurnal Teknologi dan Sistem Informasi Bisnis, vol. 7, no. 1, pp. 1–7, Jan. 2025, doi: https://doi.org/10.47233/jteksis.v7i1.1565
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Durrotul Mufidah Inafah, Tri Rijanto, Yeni Anistyasari
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
