Sistem Pendukung Keputusan Pemilihan Sales Provider Terbaik Menggunakan Kombinasi Rank Order Centroid dan TOPSIS
-
Irana Saputri
*
Universitas Teknokrat Indonesia, Bandar Lampung,
Indonesia
- Ajeng Savitri Puspaningrum Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia (*) Corresponding Author
Abstract
Selecting the best salesperson requires a strategic approach that includes an in-depth evaluation of salesperson capabilities and qualifications. The main problem in selecting the best salesperson often lies in the difficulty of finding individuals or teams who have a balance between technical skills, communication skills, and a solid sales track record and the lack of an objective selection model. This study aims to apply effective SPK in selecting the best sales provider by utilizing a combination of centroid and TOPSIS rank order methods to produce objective and accurate recommendations regarding Sales Providers that best suit the company's needs and priorities. This research has important significance in providing a systematic and data-driven approach to selecting the best sales provider, which can improve the efficiency and effectiveness of the decision-making process. The ranking results show that Risman Ardiansyah managed to occupy the first position as the best sales provider with the highest score of 0.94, showing superior performance in all assessment criteria. Al Aziz followed in second place with a score of 0.923, reflecting an almost comparable performance. M Dandi was in third place with a score of 0.8162, followed by Ni Sayu Kade with a score of 0.765 in fourth place. Faizal Azhar occupies the fifth position with a score of 0.6738. These results show that Risman Ardiansyah is the sales provider that best meets expectations based on the criteria used in the evaluation.
Downloads
References
Setiawansyah, S. Sintaro, and A. A. Aldino, “MCDM Using Multi-Attribute Utility Theory and PIPRECIA in Customer Loan Eligibility Recommendations,” J. Informatics, Electr. Electron. Eng., vol. 3, no. 2, pp. 212–220, Dec. 2023, doi: 10.47065/jieee.v3i2.1628.
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.
E. R. Susanto, A. Savitri Puspaningrum, and Z. Abidin, “Recommendations of Cash Social Assistance (BST) Recipients for People Affected by Covid-19 Using AHP-TOPSIS,” in 2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT), Aug. 2023, pp. 190–195. doi: 10.1109/IConNECT56593.2023.10326776.
E. Pranita, J. P. Sembiring, A. Jayadi, N. U. Putri, A. Jaenul, and A. M. Fathurahman, “Melinjo Chip Dryer Monitoring System Using Fuzzy Logic Method,” in 2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT), Aug. 2023, pp. 98–102. doi: 10.1109/IConNECT56593.2023.10327339.
Q. Wang, T. Cheng, Y. Lu, H. Liu, R. Zhang, and J. Huang, “Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor,” Sensors, vol. 24, no. 4, p. 1285, Feb. 2024, doi: 10.3390/s24041285.
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.
A. Yildiz, E. Ayyildiz, A. Taskin Gumus, and C. Ozkan, “A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem,” Int. J. Inf. Technol. Decis. Mak., vol. 19, no. 02, pp. 365–384, Mar. 2020, doi: 10.1142/S0219622020500017.
V. M. M. Siregar, S. Sonang, A. T. Purba, H. Sugara, and N. F. Siagian, “Implementation of TOPSIS Algorithm for Selection of Prominent Student Class,” in Journal of Physics: Conference Series, 2021, vol. 1783, no. 1, p. 12038.
A. Sani, S. Aisyah, M. Rachmawati, P. Dian, and N. Wiliani, “Analysis Of Decision Support Systems for Candidate Selection Scholarship Recipients Using TOPSIS Method,” in Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022, Semarang, Indonesia, 2022.
S. Chatterjee and S. Chakraborty, “A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes,” Decis. Anal. J., vol. 11, p. 100451, Jun. 2024, doi: 10.1016/j.dajour.2024.100451.
H. Sulistiani, S. Setiawansyah, A. F. O. Pasaribu, P. Palupiningsih, K. Anwar, and V. H. Saputra, “New TOPSIS: Modification of the TOPSIS Method for Objective Determination of Weighting,” Int. J. Intell. Eng. Syst., vol. 17, no. 5, pp. 991–1003, Oct. 2024, doi: 10.22266/ijies2024.1031.74.
M. Hidayatullah and A. Ikhwan, “Implementasi Metode Rank Order Centroid Dan Multi Attributive Border Approximation Area Comparison Dalam Penerimaan Karyawan,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 6, pp. 2971–2981, 2024.
M. W. Arshad, “Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 4, pp. 2330–2341, 2024, doi: 10.30865/klik.v4i4.1677.
H. I. Santoso, “Seleksi Penerimaan Programmer Menggunakan Simple Multi Attribute Rating Technique Method (SMART Method) dan Rank Order Centroid,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 2, no. 1, pp. 31–39, 2024.
M. A. Hatefi, “An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem,” Informatica, vol. 34, no. 2, pp. 249–270, 2023.
A. M. N. C. Ribeiro, D. F. H. Sadok, M. E. da Cruz Brito, Á. de Araújo Cavalcanti, P. T. Endo, and J. Kelner, “Comparative analysis of current transducers for development of smart plug through rank order centroid method,” IEEE Lat. Am. Trans., vol. 18, no. 01, pp. 147–155, 2020, doi: 10.1109/TLA.2020.9049472.
A. T. Hidayat, N. K. Daulay, and M. Mesran, “Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Pemilihan Wiraniaga Terbaik,” J. Comput. Syst. Informatics, vol. 1, no. 4, pp. 367–372, 2020, doi: 10.47065/josyc.v1i4.444.
R. Aldisa, F. Nugroho, M. Mesran, S. A. Sinaga, and K. Sussolaikah, “Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW),” J. Inf. Syst. Res., vol. 3, no. 4 SE-Articles, Jul. 2022, doi: 10.47065/josh.v3i4.1955.
I. Purnama, Z. Zulkifli, M. B. K. Nasution, A. Karim, and S. Trianovie, “Sistem Pendukung Keputusan Pemilihan Sales Supervisor Menerapkan Metode EDAS berdasarkan Pembobotan ROC,” Build. Informatics, Technol. Sci., vol. 5, no. 1, pp. 181–190, Jun. 2023, doi: 10.47065/bits.v5i1.3558.
P. Citra, I. W. Sriyasa, and H. B. Santoso, “Sistem Pendukung Keputusan Penentuan Kinerja Sales Terbaik Menggunakan Kombinasi Grey Relational Analysis dan Pembobotan Rank Sum,” J. Ilm. Comput. Sci., vol. 2, no. 2, pp. 99–108, Jan. 2024, doi: 10.58602/jics.v2i2.26.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Pemilihan Sales Provider Terbaik Menggunakan Kombinasi Rank Order Centroid dan TOPSIS
Pages: 185-196
Copyright (c) 2024 Irana Saputri, Ajeng Savitri Puspaningrum
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).
