Multi-Criteria Decision-Making Pemilihan Kostan Menggunakan Multi-Atributive Ideal-Real Comparative Analysis (MAIRCA)
Abstract
The determination of boarding house is a decision that requires careful consideration to meet the needs and preferences of residents. Multi-Criteria Decision-Making (MCDM) is a systematic approach used in various fields to analyze and evaluate complex decision problems involving many conflicting criteria. The application of the MAIRCA method in determining boarding places becomes an alternative for users in choosing a location with the help of a decision support system, so that it becomes an alternative consideration in choosing and determining decisions. Alternative ranking by recommending Kost Nur with a final score of 0.110417 gets 1st place, Casablangka with a final value of 0.077500 gets 2nd place, and Rumahku with a final value of 0.076250 gets 3rd place.
References
M. Yazdani, P. Zarate, E. Kazimieras Zavadskas, and Z. Turskis, “A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems,” Manag. Decis., vol. 57, no. 9, pp. 2501–2519, 2019.
H.-Q. Nguyen, V.-T. Nguyen, D.-P. Phan, Q.-H. Tran, and N.-P. Vu, “Multi-criteria decision making in the PMEDM process by using MARCOS, TOPSIS, and MAIRCA methods,” Appl. Sci., vol. 12, no. 8, p. 3720, 2022.
A. F. O. Pasaribu and N. Nuroji, “Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Profile Matching,” J. Data Sci. Inf. Syst., vol. 1, no. 1, pp. 24–31, 2023.
S. Setiawansyah, A. T. Priandika, B. Ulum, A. D. Putra, and D. A. Megawaty, “UMKM Class Determination Support System Using Profile Matching,” Bull. Informatics Data Sci., vol. 1, no. 2, pp. 46–54, 2022.
Setiawansyah, A. A. Aldino, P. Palupiningsih, G. F. Laxmi, E. D. Mega, and I. Septiana, “Determining Best Graduates Using TOPSIS with Surrogate Weighting Procedures Approach,” in 2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT), 2023, pp. 60–64. doi: 10.1109/IConNECT56593.2023.10327119.
S. Setiawansyah, “Kombinasi Pembobotan PIPRECIA-S dan Metode SAW dalam Pemilihan Ketua Organisasi Sekolah,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 32–40, 2023.
H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari, and Y. Khairunnisa, “Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution,” in 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023, pp. 369–373. doi: 10.1109/ICIMCIS60089.2023.10349017.
G. Zhu, J. Ma, and J. Hu, “Evaluating biological inspiration for biologically inspired design: An integrated DEMATEL‐MAIRCA based on fuzzy rough numbers,” Int. J. Intell. Syst., vol. 36, no. 10, pp. 6032–6065, 2021.
S. Haoues, M. A. Yallese, S. Belhadi, S. Chihaoui, and A. Uysal, “Modeling and optimization in turning of PA66-GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: a comparative study,” Int. J. Adv. Manuf. Technol., vol. 124, no. 7–8, pp. 2401–2421, 2023.
S. Boral, I. Howard, S. K. Chaturvedi, K. McKee, and V. N. A. Naikan, “An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA,” Eng. Fail. Anal., vol. 108, p. 104195, 2020.
S. Hadian, E. Shahiri Tabarestani, and Q. B. Pham, “Multi attributive ideal-real comparative analysis (MAIRCA) method for evaluating flood susceptibility in a temperate Mediterranean climate,” Hydrol. Sci. J., vol. 67, no. 3, pp. 401–418, 2022.
S. Chakraborty, P. Chatterjee, and P. P. Das, “Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) Method,” in Multi-Criteria Decision-Making Methods in Manufacturing Environments, Apple Academic Press, 2024, pp. 289–296.
S. Syahrudin and S. Yunita, “Sistem Pendukung Keputusan Pemilihan Tempat Kost Menggunakan Metode Simple Addtive Weighting (SAW) Kotawaringin Timur,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 2, no. 2, pp. 84–87, 2021.
T. Dhiki, “Sistem Pendukung Keputusan Pemilihan Kost Di Sekitaran Kampus Universitas Flores Menggunakan Metode Simple Additive Weighting (Saw),” JUPITER J. Penelit. Ilmu dan Teknol. Komput., vol. 14, no. 2-b SE-Articles, pp. 413–422, Feb. 2023, doi: 10.5281./5148/5.jupiter.2022.10.
Rizky Jelang Ramadhani, Ivan Althirafi R., Rifardhi Reza S., Astian Afif A., and Retno Aulia Vinarti, “Sistem Pendukung Keputusan Pemilihan Kost Murah di Surabaya untuk Mahasiswa ITS dengan Metode Simple Additive Weighting (SAW),” J. Adv. Inf. Ind. Technol., vol. 3, no. 2 SE-, pp. 1–10, Nov. 2021, doi: 10.52435/jaiit.v3i2.108.
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