Combination of CRITIC Weighting Method and Multi-Attribute Utility Theory in Network Vendor Selection
-
M. Najib Dwi Satria
*
Universitas Teknokrat Indonesia, Bandar Lampung,
Indonesia
- Setiawansyah Setiawansyah Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
- Mesran Mesran Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
The main problems in the selection of network vendors include uncertainty regarding the credibility and reliability of the vendor, which can result in the risk of product or service failure. Choosing a network vendor requires a thorough evaluation of the vendor's credibility and track record to ensure their reliability and experience in the industry. In addition, the technology compatibility and flexibility of the product need to be checked to ensure seamless integration with existing infrastructure and the ability to adapt to evolving needs. The combination of the CRITIC weighting and MAUT methods can result in a robust and holistic approach in the decision support system. CRITIC is used to determine the relative weight of each criterion based on the correlation analysis between the criteria, thus helping to reduce subjectivity and improve the objectivity of the assessment. Once the criterion weights are set using CRITIC, MAUT can be used to calculate the utility score of each alternative based on the weights of that criterion. MAUT allows the integration of decision-maker subjective preferences into the analysis, thus allowing for a more thorough and accurate evaluation of the alternatives being evaluated. The results of the network vendor ranking show that Nusanet gets the first rank with a final score of 0.6214, Zitline gets the second rank with a final score of 0.5317, MMS gets the third rank with a final score of 0.5276, TMS gets the fourth rank with a final score of 0.4147, and JPDN gets the fifth rank with a final score of 0.3677. This combination of the CRITIC and MAUT methods provides a comprehensive approach to network vendor selection, ensuring that decisions are based on structured, transparent, and measurable analysis, resulting in the most optimal vendor selection for the organization's needs.
Downloads
References
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.
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.
M. MARUF and K. ÖZDEMİR, “Ranking of Tourism Web Sites According to Service Performance Criteria with CRITIC and MAIRCA Methods: The Case of Turkey,” Uluslararası Yönetim Akad. Derg., vol. 6, no. 4, pp. 1108–1117, Jan. 2024, doi: 10.33712/mana.1352560.
A. Q. Maharani and T. Ardiansah, “Kombinasi Metode Multi-Attribute Utility Theory dan Pivot Pairwise Relative Criteria Importance Assessment Dalam Penentuan Lulusan Terbaik,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 4, pp. 2074–2086, 2023.
I. Oktaria, “Kombinasi Metode Multi-Attribute Utility Theory ( MAUT ) dan Rank Order Centroid ( ROC ) dalam Pemilihan Kegiatan Ekstrakulikuler,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 1–11, 2023.
U. Akpan and R. Morimoto, “An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria,” Socioecon. Plann. Sci., vol. 82, p. 101256, 2022.
D. Nurnaningsih and S. Setiawansyah, “Sistem Pendukung Keputusan untuk Optimalisasi Pemilihan Agen Penjualan Menggunakan Metode Entropy dan Multi Attribute Utility Theory,” J. Media Jawadwipa, vol. 1, no. 2, pp. 44–54, 2024, doi: 10.58602/mediajawadwipa.v1i2.46.
N. D. Puspa, M. Mesran, and A. F. Siregar, “Penerapan Metode Maut Dengan Pembobotan Entropy Dalam Sistem Pendukung Keputusan Penilaian Kinerja Guru Honor,” J. Inf. Syst. Res., vol. 5, no. 1, pp. 24–33, 2023.
A. A. Kusuma, Z. M. Arini, U. Hasanah, M. Mesran, and M. Kom, “Analisa Penerapan Metode Multi Attribute Utility Theory (MAUT) dengan Pembobotan Rank Order Centroid (ROC) Dalam Pemilihan Lokasi Strategis Coffeshop Milenial di Era New Normal,” J. Sist. Komput. dan Inform., vol. 3, no. 2, pp. 51–59, 2021.
Marković, Stajić, Stević, Mitrović, Novarlić, and Radojičić, “A Novel Integrated Subjective-Objective MCDM Model for Alternative Ranking in Order to Achieve Business Excellence and Sustainability,” Symmetry (Basel)., vol. 12, no. 1, p. 164, Jan. 2020, doi: 10.3390/sym12010164.
T. Van Dua, D. Van Duc, N. C. Bao, and D. D. Trung, “Integration of objective weighting methods for criteria and MCDM methods: application in material selection,” EUREKA Phys. Eng., no. 2, pp. 131–148, Mar. 2024, doi: 10.21303/2461-4262.2024.003171.
L. Zhang, Q. Cheng, and S. Qu, “Evaluation of Railway Transportation Performance Based on CRITIC-Relative Entropy Method in China,” J. Adv. Transp., vol. 2023, pp. 1–11, Mar. 2023, doi: 10.1155/2023/5257482.
A. Apriyaningsih, “Sistem Pendukung Keputusan Pemilihan Vendor Project Menerapkan Metode Analytical Hierarchy Process (AHP),” TIN Terap. Inform. Nusant., vol. 2, no. 9, pp. 542–550, 2022.
W. Resdiana and N. A. Zahirah, “Pemilihan Vendor Pengadaan Barang Tingkat Kabupaten Menggunakan Metode Saw (Simple Additive Weighting),” J. Tek. Inform., vol. 11, no. 1, pp. 1–6, 2019.
F. Fatmayati, U. Riyanto, J. Rahmadian, and O. Pahlevi, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN VENDOR IT MAINTENANCE MENGGUNAKAN PENDEKATAN WASPAS,” TEKNOKOM, vol. 7, no. 1, pp. 187–196, 2024.
A. Rifqi and R. T. Aldisa, “Implementasi Sistem Pendukung Keputusan dalam Pemilihan Vendor IT Menerapkan Metode Weighted Product (WP),” Resolusi Rekayasa Tek. Inform. dan Inf., vol. 4, no. 1, pp. 1–7, 2023.
K. Nisa, “Aplikasi Pemilihan Vendor Menggunakan Metode Fuzzy AHP Dan TOPSIS,” J. Ilm. Media Sisfo, vol. 16, no. 1, pp. 20–32, 2022.
S. Sintaro, A. A. Aldino, S. Setiawansyah, and V. H. Saputra, “Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier,” J. Comput. Informatics Res., vol. 3, no. 1, pp. 133–140, Nov. 2023, doi: 10.47065/comforch.v3i1.969.
W. K. Murti, A. Triayudi, and M. Mesran, “Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT),” J. Sist. Komput. dan Inform., vol. 5, no. 1, pp. 122–130, 2023.
V. H. Saputra and S. Setiawansyah, “Penerapan Metode SWARA dan Grey Relational Analysis Dalam Pemilihan Karyawan Terbaik,” J. Artif. Intell. Technol. Inf., vol. 2, no. 1, pp. 51–61, 2024, doi: 10.58602/jaiti.v2i1.107.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Combination of CRITIC Weighting Method and Multi-Attribute Utility Theory in Network Vendor Selection
Pages: 188−197
Copyright (c) 2024 M. Najib Dwi Satria, Setiawansyah Setiawansyah, Mesran Mesran
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
