Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik CV. Aurelia Weida Prima Medan Dengan Metode Maut
DOI:
https://doi.org/10.30865/klik.v3i1.377Keywords:
DSS; Election; MAUT; Calculation; Company]Abstract
Choosing top employees is a company appreciation for their performance. This can motivate employees to be more motivated at work. To obtain the best employee names, a system that does the expected selection process and can produce objective, transparent information. Company CV. Aurelia weida is prime field in search of the best employees, the company does this by pointing out without adequate good judgment. Therefore, a decision-making system is needed in evaluating employee performance. This research USES a multi-applied theory method. The data prepared for this evaluation is 10 samples from CVS. Aurelia weida is prime field. Assessments are based on some criteria and weights given. There are 6 data criteria for judging a employee's performance, which is service (weight 30%), integrity (weight 20%), commitment (weight 15%), discipline (weight 20%), cooperation (weight 13%), employee performance (weight 12%). Calculations were obtained by employees who had the highest marks. Therefore, maximum value is obtained on alternative 3 with a value of 0.786, and minimum value is obtained on alternative 8 with a value of 0.369. It's coming up for CV after all. The aurelia weida prime field evaluates its employees over a period of time. It turned out that the best employee performance ever helped CV. Aurelia weida is prime field
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Aldo, D., Putra, N., & Munir, Z. (2019). SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA DOSEN DENGAN MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY ( MAUT ) Dasril. Jurnal Sistem Informasi Dan Manajemen, 7(2).
Apriani, W. (2019). Sistem Pendukung Keputusan Pemilihan Pimpinan Dengan Metode Multi Attribute Utility Theory (MAUT) di PT. Sagami Indonesia. Jurnal Mantik, 3(January), 31–38.
Fajarika, S. (2019). Sistem Pendukung Keputusan Pemilihan Balita Sehat Se-Kecamatan Sei Lepan Menggunakan Metode Multi Atributte Utility Theory (Maut) (Studi Kasus: Puskesmas Desa Lama). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 3(1), 515–521. https://doi.org/10.30865/komik.v3i1.1635
Jannah, R., & Lusiana, L. (2015). Aplikasi Penerimaan Karyawan dengan Metode Multi Attribute Utility Theory. SATIN: Sains Dan Teknologi Informasi, 1(2), 79–89. http://jurnal.stmik-amik-riau.ac.id/index.php/satin/article/view/110
Kariman, R., Priyanto, H., & Sastypratiwi, H. (2020). Implementasi Metode Multi Attribute Utility Theory (MAUT) pada Aplikasi Pemilihan Staf Berprestasi Dinas Pangan Pertanian dan Perikanan Kota Pontianak. Jurnal Sistem Dan Teknologi Informasi (Justin), 8(2), 212. https://doi.org/10.26418/justin.v8i2.38234
Khair, F. El, Defit, S., & Yuhandri, Y. (2021). Sistem Keputusan dengan Metode Multi Attribute Utility Theory dalam Penilaian Kinerja Pegawai. Jurnal Informasi Dan Teknologi, 3, 215–220. https://doi.org/10.37034/jidt.v3i4.155
Khairani, A., Tambunan, H. S., & Fauzan, M. (2019). Penerapan Algoritma Maut (Multy_Attribute Utility Theory) Dalam Pemilihan Pupuk Terbaik Pada Tanaman Kelapa Sawit. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 3(1), 728–732. https://doi.org/10.30865/komik.v3i1.1684
Mulyani, T. (2018). Tayangkan Pada Radio Fantasi Fm Menggunakan Metode Multi Attribute Utility Theory ( Maut ). x.
Nas, C., Defit, S., & Santony, J. (2018). Evaluasi Mutasai Jabatan Anggota Kepolisian Menggunakan Metode Profile Matching dan Multi Attribute Utility Theory. Jurnal Sains, Teknologi Dan Industri, 16(1), 30. https://doi.org/10.24014/sitekin.v16i1.6734
Nasution, J., & Syahrizal, M. (2019). Sistem Pendukung Keputusan Rekomendasi Calon Kepala Puskesmas Mengunakan Metode Multi Attribute Utility Theory (Maut) (Studi Kasus: Puskesmas Desa Lama Sei Lepan). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 3(1), 176–182. https://doi.org/10.30865/komik.v3i1.1586
Puspitasari, N. B., Rumita, R., & Pratama, G. Y. (2013). Pemilihan Strategi Bisnis Dengan Menggunakan Qspm (Quantitative Strategic Planning Matrix) Dan Model Maut (Multi Attribute Utility Theory) (Studi Kasus Pada Sentra Industri Gerabah Kasongan, Bantul, Yogyakarta). J@Ti Undip?: Jurnal Teknik Industri, 8(3), 171–180. https://doi.org/10.12777/jati.8.3.171-180
Putri, T. N., Yordan, A., & Lamkaruna, D. H. (2019). Sistem Pendukung Keputusan Rekomendasi Webhosting Pada Kantor Media Online Suaramu.Co Menggunakan Metode Multi Attribute Utility Theory (Maut). Jurnal Teknologi Informatika, 2(1), 21–27.
Ramadiani, R., & Rahmah, A. (2019). Sistem pendukung keputusan pemilihan tenaga kesehatan teladan menggunakan metode multi-attribute utility theory. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 5(1), 1–12. https://doi.org/10.26594/register.v5i1.1273
Riyadi, W., & Sika, X. (2018). Sistem Penunjang Keputusan Penerimaan Beasiswa dengan Metode MAUT (Studi Kasus: STIKOM Dinamika Bangsa Jambi). Jurnal PROCESSOR, 13(2), 1247–1259.
Sari, R. N., & Hayati, R. S. (2019). Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost. J-SAKTI (Jurnal Sains Komputer Dan Informatika), 3(2), 243. https://doi.org/10.30645/j-sakti.v3i2.144
Satria, E., Atina, N., Simbolon, M. E., & Windarto, A. P. (2018). Spk: Algoritma Multi-Attribute Utility Theory (Maut) Pada Destinasi Tujuan Wisata Lokal Di Kota Sidamanik. Computer Engineering, Science and System Journal, 3(2), 168. https://doi.org/10.24114/cess.v3i2.9954
Warnilah, A. I., Studi, P., Informasi, S., Bina, U., & Informatika, S. (2018). Sistem Informasi Seleksi Penerima Program Indonesia. 11(2), 96–105.
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