Penerapan Kombinasi Multi Objective Optimization on the basis of Ration Analysis dan Metode Pembobotan RECA Untuk Pemilihan Sales Berprestasi
-
Putri Mayang Sari
*
Universitas Teknokrat Indonesia, Bandar Lampung,
Indonesia
- Temi Ardiansyah Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia (*) Corresponding Author
Abstract
This research proposes the application of a combination of Multi-Objective Optimization by Ratio Analysis (MOORA) and Respond to Criteria Weighting (RECA) methods for a more objective and transparent sales performance assessment system. MOORA is used to evaluate alternatives based on various criteria through a ratio normalization process, while RECA determines the weight of criteria proportionally by considering the contribution level of each criterion. The combination of these two methods is designed to reduce subjectivity in the evaluation process and produce a systematic and measurable ranking of salespeople. The results show that the integration of MOORA and RECA is able to provide an accurate solution in determining sales achievers, by considering various performance indicators such as sales volume, customer satisfaction, and the ability to build long-term relationships. The results of the study show that the combination of these two methods can produce transparent rankings. With the following ranking results, the first rank with a total final score of 0.514 by Sample, the second rank with a total final score of 0.314 by Jinilianty, the third rank with a total final score of 0.308 by Rudi Hartono. The system not only increases salesperson motivation to achieve targets, but also provides structured feedback for self-development. With a transparent and accountable approach, the company is able to improve. The system not only increases salespeople's motivation to achieve targets, but also provides structured feedback for self-development. With a transparent and accountable approach, the company can increase sales team loyalty, customer satisfaction, and overall profitability. The results of this study can also serve as a reference for other companies in developing a more effective sales performance evaluation system.
Downloads
References
V. C. Hardita, E. Utami, and E. T. Luthfi, “Sistem Pendukung Keputusan Pemilihan Sales Terbaik,” Creat. Inf. Technol. J., vol. 5, no. 2, p. 138, 2019, doi: 10.24076/citec.2018v5i2.177.
A. Pramezwary, J. Juliana, J. Winata, R. Tanesha, and T. Armando, “Brand Trust dan Promosi Penjualan Terhadap Keputusan Pembelian Produk Di Masa Covid-19,” J. Perspekt., vol. 19, no. 1, pp. 24–31, 2021, doi: 10.31294/jp.v19i1.9376.
S. Pokhrel, No TitleΕΛΕΝΗ, vol. 15, no. 1. 2024.
D. Lee and Gusrianty, “Perancangan Sistem Pendukung Keputusan Dalam Pemilihan Sales Terbaik Menggunakan Metode Saw-Topsis,” J. Mhs. Apl. Teknol. Komput. dan Inf., vol. 3, no. 2, pp. 65–70, 2021.
A. Mukhayaroh, “Sistem Pendukung Keputusan Pemilihan Distribution Sales Supervisor dengan Metode FMADM-SAW pada PT. Nirmala Pangan Sejahtera Bekasi,” Informatics Educ. Prof., vol. 1, no. 1, p. 234368, 2016.
Arjun Nainggolan, Annisa Siregar, and M. Mesran, “Sistem Pendukung Keputusan Penilaian Indeks Kinerja Sales Marketing Menerapkan Metode MOORA,” Hello World J. Ilmu Komput., vol. 1, no. 3, pp. 121–129, 2022, doi: 10.56211/helloworld.v1i3.125.
A. S. Yunus, R. Wulan, and S. E. Wahyuni, “Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Kerja Kontrak Menggunakan Metode Simple Additive Weighting (SAW),” JRKT (Jurnal Rekayasa Komputasi Ter., vol. 1, no. 01, pp. 30–37, 2021, doi: 10.30998/jrkt.v1i01.4007.
L. Novita, S. N. Khasanah, and D. U. E. Saputri, “Sistem Penunjang Keputusan Pemilihan Salesman Terbaik Menggunakan Metode Analytical Hierarki Process Pada PT.Cahaya Esa Karunia Optima,” Indones. J. Softw. Eng., vol. 8, no. 1, pp. 106–114, 2022, doi: 10.31294/ijse.v8i1.11483.
W. Pratama and D. Pibriana, “Implementasi Simpel Additive Weighting Pada Sistem Pendukung Keputusan Penilaian Sales Terbaik,” MDP Student Conf., pp. 519–525, 2023.
F. A. Fadillah, D. L. Rahmah, and D. Marlina, “Sistem Pemilihan Sales Terbaik dengan Metode Topsis di PT Dahua Vision Technology Indonesia,” JRKT (Jurnal Rekayasa Komputasi Ter., vol. 3, no. 04, pp. 171–178, 2023, doi: 10.30998/jrkt.v3i04.9116.
K. Karawang, R. T. Lestari, and E. Suherman, “Pengelolaan Tenaga Kerja Di PT . Garam Jaya ( Studi Kasus PT . Garam Jaya Desa Muara Baru Kec . Cilamaya Wetan .,” vol. 02, no. 01, pp. 246–250, 2024.
R. Chairani Putri, A. Mulyana, B. Ilham Maliki, M. Magister Manajemen Universitas Bina Bangsa, and D. Universitas Bina Bangsa, “YUME : Journal of Management Talent Management in Public Organization: Literature Perspectives and Implications for Performance Improvement,” YUME J. Manag., vol. 7, no. 1, pp. 966–978, 2024.
S. N. Rahma, F. Psikologi, U. I. Negeri, and S. H. Jakarta, “Pengaruh Modal Psikologis , Komitmen Karier , dan Workplace Incivility terhadap Psychological Well-Being Karyawan di Jabodetabek,” 2023.
Sumarni, “Evaluasi Kinerja Customer Service Dalam Mengatasi Komplain Nasabah di BNI Sinjai,” 2021.
D. Nurani, “Analisis Implementasi Literatur,” pp. 12–25, 2009, [Online]. Available: https://lib.ui.ac.id/file?file=digital/129255-T 26794-Analisis implementasi-Literatur.pdf
P. L. T. Sihombing and M. U. Batoebara, “Strategi Peningkatan Kinerja Dalam Pencapaian Tujuan,” J. Publik Reform UNDHAR MEDAN, vol. 6, pp. 1–16, 2019.
M. K. G. Umar, M. Abdurahman, A. D. Wahyudi, and A. F. O. Pasaribu, “Hybrid Logarithmic Percentage Change-Driven Objective Weighting and MOORA in Salesperson Performance Assessment,” vol. 5, no. 1, pp. 203–212, 2024, doi: 10.30865/klik.v5i1.1890.
S. H. Hadad, A. R. Mehta, and H. Sulistiani, “Evaluation of Salesperson Performance in the Sales Allowance Decision Support System Using the MARCOS and PIPRECIA Methods,” vol. 5, no. 2, pp. 477–486, 2024, doi: 10.47065/josyc.v5i2.4863.
Sustainable Transport, Sustainable Development. 2021. doi: 10.18356/9789210010788.
U. Telkom, “ffi Telkom R ‘ n .’ n ‘ St .’ tegis”.
D. S. Pascasarjana, A. Rumah, K. Program, S. Magister, D. Sekolah, and P. Sarjana, “Program Magister dan Doktor,” no. 0341, pp. 2018–2020, 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Kombinasi Multi Objective Optimization on the basis of Ration Analysis dan Metode Pembobotan RECA Untuk Pemilihan Sales Berprestasi
Pages: 128-137
Copyright (c) 2025 Putri Mayang Sari, Temi Ardiansyah
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).
