Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menerapkan Metode MAUT
Abstract
The selection of the best employee is the company's appreciation for the performance of its employees. This can motivate employees to be more motivated at work. To get the names of the best employees, a system is needed that performs the expected selection process and can produce objective and transparent information. In finding the best employees, the company does this by appointing without a reliable enough assessment. Therefore, a decision support system is needed in evaluating employee performance. This research uses the multi-attribute utility theory method. The data processed for this evaluation are 10 samples from CV Aurelia Weida Prima Medan. The evaluation is based on several criteria and weights given. There are 6 data criteria to assess employee performance, namely service (30% weight), integrity (20% weight), commitment (15% weight), discipline (20% weight), cooperation (13% weight), and employee performance (12% weight). From the calculation results, the employee who has the highest score is obtained. Therefore, the maximum value is obtained at A9 = 15.746, and the minimum value is obtained at A1 = 1.410. Will be considered for CV later. Aurelia Weida Prima Medan evaluates its employees over a while. It turns out that choosing the best employee performance helps CV. Aurelia Weida Prima Medan
Downloads
References
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.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menerapkan Metode MAUT
Pages: 72-79
Copyright (c) 2022 Muhammad Annur Al Fajar Nst, M. Hasyim Arrasyid, Eferoni Ndruru

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).