Penerapan Root Assessment Method dan Pembobotan ROC untuk Evaluasi Kinerja Tim Penjualan

Aditia Yudhistira; Agung Deni Wahyudi

doi:10.58602/jima-ilkom.v3i2.30

Aditia Yudhistira Universitas Teknokrat Indonesia
Agung Deni Wahyudi Universitas Teknokrat Indonesia

DOI: https://doi.org/10.58602/jima-ilkom.v3i2.30

Abstract

The performance of the sales team is one of the important indicators of a company's success, which is measured through the achievement of sales targets, negotiation skills, and efficiency in managing customer relationships. Problems in the appraisal of sales team performance often arise due to various factors that affect objectivity and fairness in evaluation. One of the main problems is the lack of consistent assessment standards, where each team member may be assessed with different assessment opinions, leading to bias in evaluation results. The application of the Root Assessment Method and ROC Weighting in the performance evaluation of the sales team is an innovative and effective approach to improve productivity and team performance. The combination of these two methods not only facilitates in-depth analysis of individual and team performance, but also supports strategic decision-making in the continuous development and improvement of sales team capabilities. The results of the sales team's performance evaluation assessment ranking, Team J ranked first with a final score of 4.3981, showing the most superior performance among the entire team. In second place, Team G obtained a score of 4.388, followed by Team D in third place with a score of 4.3752. These results provide a comprehensive picture of each team's performance rankings, with Team J showing top performance, while Team F needs further improvement.

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References

R. I. Ndaumanu, D. Nugraha, and A. J. A. Putra, “Peningkatan Efisiensi Kinerja Melalui Pembuatan Aplikasi Berbasis Desktop Sebagai Upaya Membantu Penjualan dan Pembelian Produk UMKM,” JMM (Jurnal Masy. Mandiri), vol. 5, no. 4, pp. 2082–2089, 2021.

D. Novitasari, D. Hutagalung, N. Silitonga, M. Johan, and M. Asbari, “Membangun Perencanaan dan Kinerja Tim: Analisis Pengaruh Efikasi Kolektif dan Iklim Kecerdasan Emosional,” Jkbm (Jurnal Konsep Bisnis Dan Manajemen), vol. 7, no. 2, pp. 191–205, 2021.

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.

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.

S. Setiawansyah, S. H. Hadad, A. A. Aldino, P. Palupiningsih, G. Fitri Laxmi, and D. A. Megawaty, “Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections,” Bull. Electr. Eng. Informatics, vol. 13, no. 6, pp. 4273–4284, Dec. 2024, doi: 10.11591/eei.v13i6.7713.

A. Sotoudeh-Anvari, “Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges,” J. Clean. Prod., vol. 423, p. 138695, Oct. 2023, doi: 10.1016/j.jclepro.2023.138695.

P. Citra and M. N. D. Satria, “Penerapan Metode Rank Order Centroid dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Waitress Terbaik,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 2, pp. 77–87, 2024, doi: 10.58602/chain.v2i2.116.

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.

M. O. Esangbedo, J. Xue, S. Bai, and C. O. Esangbedo, “Relaxed Rank Order Centroid Weighting MCDM Method With Improved Grey Relational Analysis for Subcontractor Selection: Photothermal Power Station Construction,” IEEE Trans. Eng. Manag., 2022, doi: 10.1109/TEM.2022.3204629.

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.

R. Y. Simanullang and M. Mesran, “Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) dengan Pembobotan Rank Order Centroid (ROC) Dalam Sistem Pendukung Keputusan Pemilihan Guru Terbaik,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 3, no. 5, pp. 466–475, 2023, doi: 10.30865/klik.v3i5.733.

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.

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.

Nindian Puspa Dewi, Ubaidi, and Elsi Maharani, “Sistem Pendukung Keputusan Pemilihan Sales Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS) Berbasis Web,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 12, no. 2, pp. 172–183, Nov. 2021, doi: 10.31849/digitalzone.v12i2.7721.

W. Pratama and D. Pibriana, “Sistem Pendukung Keputusan Penilaian Sales PT Capella Patria Utama Menggunakan Metode SAW,” in MDP Student Conference, 2023, vol. 2, no. 1, pp. 519–525.

M. W. Arshad, R. R. Suryono, Y. Rahmanto, S. Sumanto, S. Sintaro, and S. Setiawansyah, “Combination of Objective Weighting Method using MEREC and A New Additive Ratio Assessment in Coffee Barista Admissions,” TIN Terap. Inform. Nusant., vol. 5, no. 3, pp. 220–231, Aug. 2024, doi: 10.47065/tin.v5i3.5771.

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.

M. W. Arshad, S. Setiawansyah, Y. Rahmanto, P. Palupiningsih, and S. Maryana, “Modification of Multi-Attribute Utility Theory in Determining Scholarship Recipient Students,” BEES Bull. Electr. Electron. Eng., vol. 5, no. 1, pp. 10–19, 2024, doi: 10.47065/bees.v5i1.5523.