Pendekatan Hybrid Respond to Criteria Weighting dan Utalities Theory Additives untuk Pemilihan Supplier Bahan Baku dalam Industri Makanan
DOI:
https://doi.org/10.47065/bulletincsr.v5i4.516Keywords:
Supplier Selection; Food Industry; Utilities Theory Additives; Respond to Weighting Criteria; Decision Support SystemAbstract
Choosing the right raw material supplier is a crucial factor in maintaining quality and production continuity in the food industry. This study proposes a hybrid approach that combines the Respond to Criteria Weighting (RECA) method to objectively determine the weight of the criteria and the Utilities Theory Additives (UTA) method to evaluate alternatives based on partial utility functions. This approach is designed to accommodate the complexity of decision-maker preferences as well as the multi-criteria assessment dynamics that often occur in the supplier selection process. Case studies were conducted on several supplier alternatives by considering various criteria. The results of the ranking of alternative suppliers based on the combination of the RECA and UTA methods can be seen that the MB alternative obtained the highest score of 0.8578 as the first rank, followed in order by TM obtained a score of 0.8576 as the second rank, and AJ obtained a score of 0.8573 as the third rank. The results of the analysis show that the combination of the two methods is able to produce accurate, consistent, and relevant ratings to the strategic needs of the company. This approach makes a significant contribution to improving objectivity, transparency, and efficiency in decision-making, particularly in the food industry sector which relies heavily on supply chain reliability.
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References
T. Nur Cahya and Suaidah, “Sistem Pendukung Keputusan Untuk Pemilihan Supplier Fasilitas Rumah Sakit Menggunakan Metode Profile Matching,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 2, no. 1, pp. 110–121, 2021.
R. P. Rizqika and E. Zuraidah, “Sistem Penunjang Keputusan Pemilihan Supplier Terbaik Dengan Metode Analythical Hierarchy Process Pada PT. Konten Indomedia Pratama,” Resolusi Rekayasa Tek. Inform. dan Inf., vol. 2, no. 4, pp. 161–171, 2022.
N. Putra, D. R. Habibie, and I. F. Handayani, “Sistem Pendukung Keputusan Pemilihan Supplier Pada Tb. Nameene Dengan Metode Simple Additive Weighting (Saw),” JURSIMA, vol. 8, no. 1, pp. 45–51, 2020.
S. Proboningrum and Acihmah Sidauruk, “Sistem Pendukung Keputusan Pemilihan Supplier Kain Dengan Metode Moora,” JSiI (Jurnal Sist. Informasi), vol. 8, no. 1, pp. 43–48, Mar. 2021, doi: 10.30656/jsii.v8i1.3073.
R. Haris Andri and D. Permana Sitanggang, “Sistem Penunjang Keputusan (SPK) Pemilihan Supplier Terbaik Dengan Metode MOORA,” J. Sains Inform. Terap., vol. 2, no. 3, pp. 79–84, Oct. 2022, doi: 10.62357/jsit.v2i3.181.
A. Yudhistira, J. Wang, Y. Rahmanto, and S. Setiawansyah, “Decision Support System for Optimizing Supplier Selection Using TOPSIS and Entropy Weighting Methods,” J. Pendidik. dan Teknol. Indones., vol. 4, no. 5 SE-, pp. 175–185, Nov. 2024, doi: 10.52436/1.jpti.456.
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.
J. Wang, D. Darwis, R. D. Gunawan, and F. Ariany, “Optimizing E-Commerce Platform Selection Using Root Assessment Method and MEREC Weighting,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 6, no. 1 SE-Articles, pp. 1–12, Mar. 2025, doi: 10.33365/jatika.v6i1.6.
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.
Y. Rahmanto, J. Wang, S. Setiawansyah, A. Yudhistira, D. Darwis, and R. R. Suryono, “Optimizing Employee Admission Selection Using G2M Weighting and MOORA Method,” Paradig. - J. Komput. dan Inform., vol. 27, no. 1 SE-, pp. 1–10, Mar. 2025, doi: 10.31294/p.v27i1.8224.
D. A. Megawaty, D. Damayanti, S. Sumanto, P. Permata, D. Setiawan, and S. Setiawansyah, “Development of a Decision Support System Based on New Approach Respond to Criteria Weighting Method and Grey Relational Analysis: Case Study of Employee Recruitment Selection,” JOIV Int. J. Informatics Vis., vol. 9, no. 1, 2025, doi: 10.62527/joiv.9.1.2744.
S. Arni, S. Sarippi, and K. Sitorus, “Application of the UTA (Utility Additive) Method to Determine the Best Employee,” J. Minfo Polgan, vol. 12, pp. 862–871, Jun. 2023, doi: 10.33395/jmp.v12i1.12523.
D. W. Nainggolan, R. S. Silaban, C. A. Damanik, C. M. Pakpahan, and P. Poningsih, “Sistem Pendukung Keputusan Memilih Facial Foam untuk Kulit Berminyak Pria dengan UTA,” Bull. Inf. Syst. Res., vol. 3, no. 1, pp. 31–38, Dec. 2024, doi: 10.62866/bios.v3i1.189.
L. Wang, S. Tong, Z. Jin, and X. Zhang, “A Robust Approach for Target Setting Based on the Uta-Int Method, Hesitant Fuzzy Linguistic Terms, and Smaa Decomposition Algorithm,” Hesitant Fuzzy Linguistic Terms, and Smaa Decomposition Algorithm. 2024. doi: 10.2139/ssrn.4813420.
V. Auriau, K. Belahcène, E. Malherbe, and V. Mousseau, “Learning Multiple Multicriteria Additive Models from Heterogeneous Preferences BT," Algorithmic Decision Theory, pp. 207–224, 2025
M. Reza Mehrpour, S. Kheybari, J. Singh Srai, and A. Rohani, “Integration of strategic and operational attributes to calculate the optimal cultivation of crops,” Expert Syst. Appl., vol. 236, p. 121238, 2024, doi: https://doi.org/10.1016/j.eswa.2023.121238.
S. Greco, R. S?owi?ski, and J. Wallenius, “Fifty years of multiple criteria decision analysis: From classical methods to robust ordinal regression,” Eur. J. Oper. Res., vol. 323, no. 2, pp. 351–377, 2025, doi: https://doi.org/10.1016/j.ejor.2024.07.038.
Y. Laia, M. Mesran, I. G. I. Sudipa, D. S. Putra, P. Rosyani, and R. Aryanti, “Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Honorer Menerapkan Metode Weighted Product (WP) dan Complex Proportional Assessment (COPRAS) dengan Kombinasi Pembobotan Rank Order Centroid (ROC),” Bull. Informatics Data Sci., vol. 2, no. 1, p. 19, May 2023, doi: 10.61944/bids.v2i1.60.
N. Hendrastuty, S. Setiawansyah, M. G. An’ars, F. A. Rahmadianti, V. H. Saputra, and M. Rahman, “G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation),” Indones. J. Electr. Eng. Comput. Sci., vol. 38, no. 1, pp. 403–416, 2025, doi: 10.11591/ijeecs.v38.i1.pp403-416.
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.
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