Implementation of the Multi-Objective Optimization Method on the Basic of Ratio Analysis (MOORA) and Entropy Weighting in New Employee Recruitment
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Abdul Karim
*
Budi Darma University, Medan,
Indonesia
(*) Corresponding Author
Abstract
The problems faced by the company in managing the selection of new employees must be done in the right way so that it can help a good work cycle. The employee recruitment process still uses manual methods so the Human Resource Development (HDR) division has to sort, select and select applicants one by one. The large number of applicants means that the Human Resource Development division often experiences difficulty in selecting prospective employees and there is subjectivity when deciding which employees fit the established criteria. To overcome the problem of making employee recruitment decisions, we will use the Multi-Objective Optimization method based on ratio analysis (MOORA) and weighting using Entropy. In research, data is collected based on the position of prospective employees. The results obtained in this research determine each position that will be accepted by 3 prospective employees, namely Sales Position, Position, Graphic Design, Accounting Staff, IT Support position, Sales Project.
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References
N. Hasdyna, U. Khairati, I. Universitas, I. Kebangsaan, and P. T. Pase, “Analisis metode moora dalam sistem seleksi penerimaan karyawan pada perumda tirta pase aceh utara.”
J. I. Pengetahuan and D. A. N. T. Komputer, “Seleksi penerimaan karyawan baru menggunakan metode topsis,” vol. 4, no. 2, pp. 143–148, 2019.
Muhammad Faisal Siregar and O. K. Sulaiman, “Implementasi Metode Multi Objective Optimization On The Basis Of Ratio Analysis ( Moora ) pada Kelayakan Pemberian Pinjaman Modal Usaha di Bank Syariah Mandiri,” vol. 4, no. 1, pp. 196–209, 2019.
S. R. Cholil and E. S. Prisiswo, “Sistem Pendukung Keputusan Seleksi Calon Karyawan Baru PT. Dawam Prima Perkasa Menggunakan Metode Aras Berbasis Web Decision,” vol. 7, 2020.
S. Dedi, A. Pardede, A. Harahap, A. Putera, and U. Siahaan, “Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat ( Jamkesmas ) Menerapkan Metode MOORA,” vol. 2, no. 2, pp. 16–22, 2018.
N. Syarweni and W. Susyanti, “ANALISIS REKRUTMEN & SELEKSI.”
F. N. Cahya and A. Zumarniansyah, “Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode Analytical Hierarchy Process,” vol. 8, no. 2, pp. 140–146, 2022, doi: 10.31294/jtk.v4i2.
Y. N. Molo, Y. P. K. Kelen, and Y. O. L. Rema, “Sistem Pendukung Keputusan Penerimaan Karyawan Baru Dengan Metode Profile Matching Berbasis Website Studi Kasus : PT . NSS Kefamenanu,” vol. 16, no. 1, pp. 136–148.
N. W. Al-hafiz, “SISTEM PENDUKUNG KEPUTUSAN PENENTUKAN KREDIT PEMILIKAN RUMAH MENERAPKAN MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS ( MOORA ),” vol. I, pp. 306–309, 2017.
A. Muharsyah, S. R. Hayati, M. I. Setiawan, and H. Nurdiyanto, “Sistem Pendukung Keputusan Penerimaan Jurnalis Menerapkan Multi- Objective Optimization On The Basis Of Ratio Analysis ( MOORA ),” vol. 5, no. 1, pp. 19–23, 2018.
N. Hakim, “SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN DENGAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS ( MOORA ).”
R. M. Simanjorang, “Sistem Pendukung Keputusan Seleksi Penerimaan Tenaga Kerja Kontrak Dengan Metode Moora Pada Kantor Kepolisian Daerah Sumatera Utara,” J. Inform. Pelita Nusant., vol. 4, no. 2, pp. 27–33, 2019.
N. W. A. Ulandari, “Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Institut Teknologi dan Bisnis STIKOM Bali,” no. October, pp. 1–7, 2020, doi: 10.30864/eksplora.v10i1.379.
N. Sari, “IMPLEMENTASI METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS ( MOORA ) DALAM MENENTUKAN LOKASI PEMASARAN LAPTOP BEKAS,” vol. 6, pp. 293–297, 2019.
C. Fadlan, A. P. Windarto, and I. S. Damanik, “Penerapan Metode MOORA pada Sistem Pemilihan Bibit Cabai ( Kasus : Desa Bandar Siantar Kecamatan Gunung Malela ),” vol. 3, no. 2, pp. 2–6, 2019.
V. Suryadini et al., “Penerapan Metode Multi Objective Optimization On The Basis Of Ratio Analysis pada Sistem Pendukung Keputusan untuk Pengawasan Kinerja Mutu Pegawai Dinas Perdagangan Kota Medan,” no. April, pp. 1–10, 2020.
R. Y. Simanullang, “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,” vol. 3, no. 5, pp. 466–475, 2023.
K. Y. Sarumaha, H. Simanjuntak, and F. S. Chan, “Implementasi Sistem Pendukung Keputusan Dalam Penerimaan Karyawan Baru Dengan Metode Multi-Objective Optimization On The Basic Of Ratio Analysis ( MOORA ),” pp. 355–362, 2022.
A. T. Hidayat and N. K. Daulay, “Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis ( MOORA ) dalam Pemilihan Wiraniaga Terbaik,” vol. 1, no. 4, pp. 367–372, 2020.
F. Handayanna, I. Purnamasari, and Nusa, “Sistem Pendukung Keputusan Perekrutan Karyawan Online Untuk Penerimaan Karyawan Dengan Metode MOORA,” vol. 4, no. September, pp. 487–498, 2020.
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