Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA)
DOI:
https://doi.org/10.47065/jimat.v3i2.254Keywords:
DSS; MOORA Method; Permanent EmployeesAbstract
PT. Indoramah Abadi is a national plastic manufacturing company that focuses on the production of mineral water packaging. Because the amount of goods produced is quite large, the company has a large number of employees, including contract employees and permanent employees. However, the large number of employees can cause problems in determining which contract employees will be appointed as permanent employees. This problem occurs because the company does not have objective criteria in selecting permanent employees, causing jealousy among employees. In addition, the calculation process used is still manual and inaccurate, thus affecting employee performance. To overcome these problems, the authors conducted research using the MOORA method. This method is a method that can assist in making decisions by using complex mathematical calculations that can be used to solve problems in conflicting criteria, namely benefits and costs. The results of the study show that alternative A4 with a value of 0.2106 is the highest score. Therefore, it can be concluded that a contract employee named Aksa Alpindo deserves to be appointed as a permanent employee.
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J. Afriany, K. Tampubolon, and R. Fadillah, “Penerapan Metode TOPSIS Penentuan Pemberian Mikro Faedah Bank Syariah Indonesia (BSI),” TIN Terap. Inform. Nusant., vol. 2, no. 3, pp. 129–137, 2021.
S. Proboningrum and A. Sidauruk, “Sistem Pendukung Keputusan Pemilihan Supplier Kain Dengan Metode Moora,” JSiI (Jurnal Sist. Informasi), vol. 8, no. 1, pp. 43–48, 2021.
A. Giovani, “SATIN – Sains dan Teknologi Informasi Sistem Pendukung Keputusan Penerimaan Karyawan Dengan Metode Simple Additive Weighting ( SAW ),” SATIN - Sains dan Teknol. Inf., vol. 06, no. 01, pp. 1–9, 2020.
L. Septyoadhi, M. Mardiyanto, and I. L. I. Astutik, “Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode Analytical Hierarchy Process,” CAHAYAtech, vol. 7, no. 1, p. 78, 2019, doi: 10.47047/ct.v7i1.6.
F. P. Santhiapillai and R. M. C. Ratnayake, “Exploring knowledge work waste in public emergency services using the AHP algorithm,” Int. J. Lean Six Sigma, 2023.
D. Febrina and I. Saputra, “Penerapan Multiobjective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) Dalam Pemilihan Konten Lokal Terbaik,” J. Comput. Syst. Informatics, vol. 2, no. 3, pp. 10–19, 2021.
A. Yunaldi, “Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC,” J. media Inform. budidarma, vol. 3, no. 4, pp. 376–380, 2019.
D. Pasaribu and R. K. Hondro, “Sistem Pendukung Keputusan Pemilihan Bidan Terbaik Dengan Metode MOORA (Studi Kasus: Rumah Sakit Ridos),” JURIKOM (Jurnal Ris. Komputer), vol. 6, no. 2, pp. 143–149, 2019.
U. M. Wahyuni and A. D. Kartika, “MELALUI PERBANDINGAN METODE MOORA-WASPAS,” vol. 8, no. 2, pp. 108–114, 2021.
S. Sanwani, P. Pristiwanto, M. Mesran, and S. Sarwandi, “Penerapan Metode MOORA dan WASPAS dalam Keputusan Pemilihan Lokasi Usaha Laundry,” J. Comput. Syst. Informatics, vol. 4, no. 1, pp. 15–24, 2022.
H. Haeruddin, “Pemilihan Peserta Olimpiade Matematika Menggunakan Metode MOORA dan MOOSRA,” Build. Informatics, Technol. Sci., vol. 3, no. 4, pp. 489–494, 2022.
A. S. Pranata, U. D. Rosiani, and M. Mentari, “Sistem Pengambil Keputusan Rekomendasi Lokasi Wisata Malang Raya Dengan Metode MOORA,” POSITIF J. Sist. dan Teknol. Inf., vol. 7, no. 1, pp. 10–16, 2021.
D. Nurma’ruf, “SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN KARYAWAN TETAP MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGTING) PADA INDUSTRI MANUFACTUR,” JUSIBI (Jurnal Sist. Inf. dan E-Bisnis), vol. 1, no. 5, 2019.
R. Rendi Lutfi, “RANCANG BANGUN APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN KARYAWAN TETAP DENGAN METODE MOORA PADA KAFE URBAN WARKOP MILENIAL.” UNSADA, 2022.
S. Lestari and M. J. A. P. Kharisha, “Sistem Pendukung Keputusan Pengangkatan Karyawan Tetap Menggunakan Metode Simple Additive Weighting (Saw) Berbasis Web Pada PT. Nucleus Precise,” Smart Comp Jurnalnya Orang Pint. Komput., vol. 11, no. 4, pp. 629–635, 2022.
G. Lestari, N. Neneng, and A. S. Puspaningrum, “SISTEM PENDUKUNG KEPUTUSAN TUNJANGAN KARYAWAN MENGGUNAKAN METODE ANALYTICAL HIERARKI PROCESS PADA PT MUTIARA FERINDO INTERNUSA,” J. Teknol. dan Sist. Inf., vol. 2, no. 3, pp. 38–48, 2021.
R. D. Kurniawati and I. Ahmad, “Sistem Pendukung Keputusan Penentuan Kelayakan Usaha Mikro Kecil Menengah Dengan Menggunakan Metode Profile Matching Pada Uptd Plut Kumkm Provinsi Lampung,” J. Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 74–79, 2021.
E. L. Amalia, A. N. Pramudhita, and M. R. Aditya, “Sistem Pendukung Keputusan Penentuan Lokasi Pembangunan Peternakan Ayam Menggunakan Metode MOORA,” Antivirus J. Ilm. Tek. Inform., vol. 13, no. 1, pp. 15–23, 2019.
A. P. R. Pinem, H. Indriyawati, and B. A. Pramono, “Sistem Pendukung Keputusan Penentuan Lokasi Industri Berbasis Spasial Menggunakan Metode MOORA,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 3, pp. 639–646, 2020.
T. Hasanah and H. J. S. Sitio, “Sistem Pendukung Keputusan Pemilihan Jurusan Pada Yayasan Muhammad Nasir dengan Menggunakan Metode MOORA,” J. Informatics Telecommun. Eng., vol. 2, no. 2, pp. 128–131, 2019.
U. L. Sari, “Sistem Pendukung Keputusan Penentuan Lokasi Pemasangan CCTV dengan Metode MOORA (Studi Kasus: Dinas Perhubungan Kota Binjai),” in Seminar Nasional Informatika (SENATIKA), 2021, pp. 123–133.
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