Sistem Pendukung Keputusan Penerimaan Analis Di Pusat Penelitian Kelapa Sawit Menggunakan Metode Complex Proportional Assessment (Copras)

Authors

  • Nurliadi Politeknik LP3I
  • Abdul Karim Universitas Budi Darma

Keywords:

Sistem Pendukung Keputusan, Complex Proportional Assessment, penerimaan analis, kelapa sawit.

Abstract

Acceptance of analysts at the Palm Oil Research Center is an important process that requires the right decision. In this context, Decision Support Systems (DSS) can be used to assist decision making using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is an effective method for making multi-criteria decisions. In this research, we apply the COPRAS method in SPK for analyst recruitment at the Palm Oil Research Center. The steps taken include identifying criteria, determining criteria weights, evaluating alternatives, normalization and aggregation, as well as ranking and selecting candidate analysts.

The criteria considered in this research include educational qualifications, work experience, skills and competencies, communication skills, as well as motivation and personality. Each criterion is given a weight to reflect its relative importance. Prospective analysts are evaluated based on predetermined criteria, giving a score or grade that reflects their level of suitability to those criteria. Criterion scores are normalized and aggregated to obtain a total score for each candidate analyst. Based on the total score, analyst candidates are ranked, and the Palm Oil Research Center can select the analyst candidate with the highest ranking for acceptance.

The application of the COPRAS method in the SPK for accepting analysts at the Palm Oil Research Center is expected to increase the efficiency and accuracy of decision making. This method allows combining subjective preferences and objective information, resulting in more structured and accountable decisions.

References

R. K. Hondro, “MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode Multi-Attributive Border Approximation Area Comparison,” J. Mahajana Inf., vol. 3 No.1, no. 2557–8290, pp. 41–52, 2018.

U. Mansyuri, “PENGGUNAAN METODA COPRAS ( Complex Proportional Assessment ) UNTUK MENENTUKAN CALON PEKERJA OPERATOR,” vol. 3, no. 1, pp. 125–136, 2023.

S. J. Ritonga et al., “IMPLEMENTASI METODE COPRAS ( COMPLEX PROPORTIONAL ASSESSMENT ),” vol. 2, no. 2, pp. 44–49, 2022.

D. Chahya, M. Zhafira, P. Studi, S. Informasi, F. Sains, and U. I. N. Suska, “Implementasi Metode SMARTER dan COPRAS untuk Penentuan Penerapan Pembatasan Sosial Berskala Besar pada Wilayah Terdampak Kasus Covid-19,” vol. 7, no. 2, pp. 152–158, 2021.

A. Karim, “Penerapan Algoritma Entropy dan Aras Menentukan Desa Terbaik Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 1, pp. 33–43, 2022.

N. R. Yanifa, D. Arifianto, and A. Nilogiri, “Implementasi metode moora.”

M. Bobbi, K. Nasution, A. Karim, and S. Esabella, “Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC,” vol. 4, no. 1, pp. 130–136, 2022, doi: 10.47065/bits.v4i1.1619.

A. Ernawati, “Penerapan Algoritma Entropy Dan Aras Menentukan Penerima Beasiswa Mahasiswa Berprestasi Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 2, pp. 74–84, 2022.

A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis ( MOOSRA ) dalam Penentuan Lulusan Mahasiswa Terbaik,” vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.

G. Ginting, S. Alvita, A. Karim, and M. Syahrizal, “Penerapan Complex Proportional Assessment ( COPRAS ) Dalam Penentuan Kepolisian Sektor Terbaik,” vol. 4, no. 2, pp. 616–631, 2020.

D. M. Midyanti, “REKOMENDASI BENTUK PENGEMBANGAN RUANG TERBUKA HIJAU DI KOTA PONTIANAK MENGGUNAKAN METODE AHP-COPRAS,” Comput. Eng. Sci. Syst. J., 2018, doi: 10.24114/cess.v3i2.9987.

Downloads

Published

2023-09-19

Issue

Section

Articles