Combination of SMART and CRITIC Methods in Decision Support Systems for Determination of Superior Products
Abstract
Superior products are goods or services that have a higher value compared to other similar products because of their quality, innovation, or uniqueness. These products are usually produced through a standardized production process, utilizing selected raw materials, and supported by modern technology and special skills. The determination of superior products is carried out through a comprehensive analysis process to identify goods or services that have great potential to provide added value, both economically and socially. The main problem in determining superior products often arises due to the lack of accurate and comprehensive data on market potential, product quality, and consumer needs. Inaccuracies in setting evaluation criteria or weights given to each criterion can also result in bias in the selection process. This research aims to implement a combination of SMART and CRITIC methods in a decision support system to determine superior products objectively and efficiently. This combination is designed to take advantage of the advantages of the SMART method in evaluating alternatives based on multi-criteria utility, as well as the CRITIC method in determining the weight of the criteria objectively based on data variation and correlation between criteria. The results of the ranking of seven products are based on the total value that has been calculated using a certain evaluation method. Product G (D700) ranks first with the highest score of 0.78961, showing the best performance compared to other alternatives. These results provide clear information about which products are superior and can be the basis for decision-making in choosing the best product.
References
S. Sumanto, “Profile Matching Untuk Pemilihan Produk Asuransi Terbaik,” JIMP (Jurnal Inform. Merdeka Pasuruan), vol. 5, no. 1, 2020.
J. Wang, D. Darwis, S. Setiawansyah, and Y. Rahmanto, “Implementation of MABAC Method and Entropy Weighting in Determining the Best E-Commerce Platform for Online Business,” JiTEKH, vol. 12, no. 2, pp. 58–68, 2024, doi: 10.35447/jitekh.v12i2.1000.
P. Palupiningsih and S. Setiawansyah, “Best Sales Selection Using a Combination of Reciprocal Rank Weighting Method and Multi-Attribute Utility Theory,” J. Comput. Informatics Res., vol. 3, no. 3, pp. 242–250, Jul. 2024, doi: 10.47065/comforch.v3i3.1496.
J. Wang, A. R. Isnain, R. R. Suryono, Y. Rahmanto, M. Mesran, and S. Setiawansyah, “Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method,” J. Comput. Syst. Informatics, vol. 6, no. 1, pp. 172–181, 2024, doi: 10.47065/josyc.v6i1.5990.
R. R. Purba, M. Mesran, M. T. A. Zaen, S. Setiawansyah, D. Siregar, and E. W. Ambarsari, “Decision Support System in the Best Selection Coffee Shop with TOPSIS Method,” IJICS (International J. Informatics Comput. Sci., vol. 7, no. 1, p. 28, Mar. 2023, doi: 10.30865/ijics.v7i1.6157.
R. Nuari, S. Setiawansyah, and M. Mesran, “Penerapan Sistem Pendukung Keputusan Pemilihan Cleaning Servis Terbaik Menggunakan Kombinasi Metode Pembobotan Entropy dan COPRAS,” Build. Informatics, Technol. Sci., vol. 6, no. 2, pp. 1169–1180, 2024, doi: 10.47065/bits.v6i2.5796.
M. Darmowiyono et al., “Application of the Simple Multi Attribute Rating Technique (SMART) Method in the selection of thrush medicine products based on consumers,” J. Phys. Conf. Ser., vol. 1783, no. 1, p. 012015, Feb. 2021, doi: 10.1088/1742-6596/1783/1/012015.
R. R. Oprasto, “Decision Support System for Selecting the Best Raw Material Supplier Using Simple Multi Attribute Rating Method Technique,” J. Ilm. Comput. Sci., vol. 2, no. 1, pp. 10–18, 2023, doi: 10.58602/jics.v2i1.12.
S. H. Hadad, “Metode Simple Multi-Attribute Rating Technique (SMART) dan Rank Reciprocal (RR) dalam Penentuan Penerima Beasiswa,” J. Data Sci. Inf. Syst., vol. 2, no. 1, pp. 18–28, 2024, doi: 10.58602/dimis.v2i1.99.
A. Fathurrozi, A. Damuri, A. T. Prastowo, and Y. Rahmanto, “Sistem Pendukung Keputusan Pemilihan Lahan Tanaman Kopi Menggunakan Metode Complex Proportional Assessment (COPRAS),” KLIK Kaji. Ilm. Inform. dan Komput., vol. 3, no. 3, pp. 228–237, 2022.
E. Alfonsius, S. W. C. Ngangi, and A. L. Kalua, “Decision Support System Determination of Recipients Subsidized Fertilizer Donation Using the SMART (Simple Multi Attribute Rating Technique),” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 3, pp. 124–134, 2023.
J. Wang, S. Setiawansyah, and Y. Rahmanto, “Decision Support System for Choosing the Best Shipping Service for E-Commerce Using the SAW and CRITIC Methods,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 2, pp. 101–109, 2024, doi: 10.58602/jima-ilkom.v3i2.32.
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. R. Paramanik, S. Sarkar, and B. Sarkar, “OSWMI: An objective-subjective weighted method for minimizing inconsistency in multi-criteria decision making,” Comput. Ind. Eng., vol. 169, p. 108138, 2022, doi: https://doi.org/10.1016/j.cie.2022.108138.
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.
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