Penerapan Multi-Attribute Utility Theory (MAUT) Dalam Penentuan Pegawai Terbaik

Nuroji Nuroji

doi:10.58602/jima-ilkom.v1i2.7

Nuroji Nuroji Universitas Muhammadiyah Prof. DR. HAMKA

DOI: https://doi.org/10.58602/jima-ilkom.v1i2.7

Keywords: Decision, Criterion, MAUT, Official, System

Abstract

The best employee selection information system is an information system used by an organization or company to support the selection process and selection of the best employees or employees. This study aims to select the best employees using criteria of Ability, Discipline, Performance, and Responsibility by applying the multi-attribute utility theory (MAUT) method as a consideration for decision making. The calculation results of the MAUT method resulted in the best employee recommendation obtained on behalf of Handoko with a value of 0.7705 getting rank 1. 2nd place was obtained by Yessi with a value of 0.502, 3rd place was obtained by Galuh with a value of 0.2512, 4th place was obtained by Jenni with a value of 0.1991, and 5th place was obtained by Wahyu with a value of 0.1742.

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References

D. A. Megawaty, S. Setiawansyah, D. Alita, and P. S. Dewi, “Teknologi dalam pengelolaan administrasi keuangan komite sekolah untuk meningkatkan transparansi keuangan,” Riau J. Empower., vol. 4, no. 2, pp. 95–104, 2021.

S. Setiawansyah, Q. J. Adrian, and R. N. Devija, “Penerapan Sistem Informasi Administrasi Perpustakaan Menggunakan Model Desain User Experience,” J. Manaj. Inform., vol. 11, no. 1, pp. 24–36, 2021.

J. Informatika and P. Lunak, “Sistem pendukung keputusan pengujian kelayakan angkutan umum pada dinas perhubungan lampung tengah,” vol. 1, no. 1, pp. 1–6, 2020.

S. Kusumadewi, H. Wahyuningsih, T. Informatika, U. I. Indonesia, U. I. Indonesia, and P. Korespondensi, “Model Sistem Pendukung Keputusan Kelompok Untuk Penilaian Gangguan Depresi , Kecemasan Dan Stress Berdasarkan Dass-42 Group Decision Support System Model for Assessment of Depression , Anxiety and Stress Disorders Based on Dass-42,” Model Sist. Pendukung Keputusan Kelompok Untuk Penilai. Gangguan Depresi, Kecemasan Dan Stress Berdasarkan Dass-42, vol. 7, no. 2, pp. 219–228, 2020, doi: 10.25126/jtiik.202071052.

H. Nurrahmi and B. Misbahuddin, “Perbandingan Metode SAW (Simple Additive Weighting) Dan AHP (Analytic Hierarchy Process) Pada Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik,” Sainstech J. Penelit. dan Pengkaj. Sains dan Teknol., vol. 29, no. 1, pp. 65–69, 2019, doi: 10.37277/stch.v29i1.322.

F. El Khair, S. Defit, and Y. Yuhandri, “Sistem Keputusan dengan Metode Multi Attribute Utility Theory dalam Penilaian Kinerja Pegawai,” J. Inf. dan Teknol., pp. 215–220, 2021.

A. Karim, S. Esabella, K. Kusmanto, M. Mesran, and U. Hasanah, “Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC),” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1674–1687, 2021.

J. H. Lubis, S. Esabella, M. Mesran, D. Desyanti, and D. M. Simanjuntak, “Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi,” J. Media Inform. Budidarma, vol. 6, no. 2, pp. 969–978, 2022.

A. Surahman, A. D. Wahyudi, and S. Sintaro, “Implementasi Teknologi Visual 3D Objek Sebagai Media Peningkatan Promosi Produk E-Marketplace,” 2020.

S. Ahdan and S. Setiawansyah, “Pengembangan Sistem Informasi Geografis Untuk Pendonor Darah Tetap di Bandar Lampung dengan Algoritma Dijkstra berbasis Android,” J. Sains dan Inform. Res. Sci. Inform., vol. 6, no. 2, pp. 67–77, 2020.

F. Kurniawan and A. Surahman, “SISTEM KEAMANAN PADA PERLINTASAN KERETA API MENGUNAKAN SENSOR INFRARED BERBASIS MIKROKONTROLLER ARDUINO UNO,” J. Teknol. dan Sist. Tertanam, vol. 2, no. 1, pp. 7–12, 2021.

R. Indra, A. Thyo, and A. Rahman, “Implementasi Metode Pengembangan Sistem Extreme Programming ( XP ) pada Aplikasi Investasi Peternakan Implementation of Extreme Programming ( XP ) System Development Method in Livestock Investment Aplication,” vol. 8, no. 3, pp. 272–277, 2020, doi: 10.26418/justin.v8i3.40273.