Objektifitas Penerimaan Dosen Menggunakan Metode Fuzzy Multi Criteria Decision Making (Study Kasus Di Universitas Pahlawan Bangkinang)
Abstract
The lecturer is a lecturer in college. In the definition of lecturer in a large way, lecturers are professional education and scientists with the main task, developing and disseminating science, technology and the art of teaching through education, research and community service. Looking for Criteria for the best lecturers to be recruited by the University so they can meet the admission requirements for prospective lecturers who will teach at Pahlawan Bangkinang University. In the recruitment research of new lecturers, general data that is flexible in the sense of which can be added in the form of acceptance requirements in the form of Masters education such as Master's Diploma, Curriculum Vitae, Transcript Value, Work Experience Letter, TOUFL Score, Interview and Skill TestThe results of this study are able to facilitate the application of a decision support system in the form of the Fuzzy Multi Criteria Decision Making Method (FMCDM) in order to produce the best candidates from the most recent lecturer candidates so that they can effectively solve the problem of recruiting prospective lecturers.
References
[2] Abdullah, Lazim. (2013). Fuzzy Multi Criteria Decision Making and its Applications: A Brief Review of Category, ScienceDirect, 2013. https://doi.org/10.1016/j.sbspro.2013.10.213
[3] Lissa. R. (2015). Kombinasi algoritma pengembangan FUZZY-MCDM dalam memprediksi kecocokan tanaman oangan di salatiga, Seminar Nasional Sistem Informasi Indonesia.
[4] Kusumadewi, S., dan Guswaludin I., (2005) Fuzzy Multi-Criteria Decision Making, Media Informatika, 3(1), 25-38. https://doi.org/10.20885/informatika.vol3.iss1.art3
[5] Lubis, A. P. (2019). Penentuan Jenis Kelinci Pedaging Terbaik Dengan Menggunakan Metode Fuzzy Muti Criteria Decision Making. JURTEKSI, 4(1), 57-64. https://doi.org/10.33330/jurteksi.v4i1.24.
[6] Efendi, R., dan Ali, G., (2017) Analisis Multi Criterion Making pada Decision Support System untuk pengambilan keputusan penentuan penerima beasiswa, JOISIE,1(1), 1-68.
[7] Devi, M., Fahrul A., dan Dyna M. (2015) Sistem Pendukung keputusan untuk seleksi penerimaan dan penentuan posisi karyawan. Jurnal Informatika Mulawarman,10(1), 62-64.
Wang, Y., Wang, L., & Sangaiah, A. K. (2018). Generalized pythagorean fuzzy information aggregation operators for multi-criteria decision making. In ICNC-FSKD 2017 - 13th Tabel 4.5 Rating Kecocokan
[8] International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (pp. 1410–1415). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/FSKD.2017.8392971.
[9] Kusumadewi, Sri; Hartati, Sri; Harjoko, Agus; Wardoyo, Retantyo. 2006. Fuzzy Multi-Attribute Decision Making (FUZZY MADM). Yogyakarta: Graha Ilmu.
[10] Kusumadewi, Sri; Purnomo, Hari. 2008. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.
[11] Fauzan, E., Sarjon, D., dan Gunadi, W. N (2018). Penyeleksian siswa peserta olimpiade matematika menggunakan Metode Profile Matching (Studi Kasus di SMA N 8 Pekan Baru). Riau Journal Of Computer Science 4(1).
[12] Ariyanti, D. M., Agus, F., & Khairina, D. M. (2018). Sistem Pendukung Keputusan Untuk Seleksi Penerimaan Dan Penentuan Posisi Karyawan. Informatika Mulawarman?: Jurnal Ilmiah Ilmu Komputer, 10(1), 62. https://doi.org/10.30872/jim.v10i1.26.
