The implementation of mamdani fuzzy logic in determining student concentration in the computer engineering program
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Abstract
The selection of a concentration is an important stage for students in the Computer Engineering program at the State University of Makassar before entering the fifth semester. Each student must choose one of the concentrations in the fields of networking, embedded systems, or smart systems. This concentration selection has a significant impact on academic activities and future career abilities. However, the lack of awareness among students about their talents and interests has resulted in many students having difficulty in choosing the right concentration. To address this issue, this research proposes using the Mamdani fuzzy logic method to assist students in selecting the appropriate concentration based on their talents and interests. The approach is carried out by collecting information through questionnaires filled out by students who have completed the fourth semester of the Computer Engineering program. The collected data is then processed using the concepts of Mamdani fuzzy logic in the MATLAB environment to generate concentration scores for each field. The research results show the effectiveness of Mamdani fuzzy logic in determining the concentration of students in networking, embedded systems, and smart systems, with an accuracy rate of up to 80%. By using the appropriate linguistic variables, students' levels of interest and abilities in each field can be accurately represented. This research has benefits for students and the university in identifying the right concentration that aligns with the interests and abilities of students at the State University of Makassar.
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References
R. T. Mangesa, M. S. Lamada, and A. Khaerunnisa, “Analisis Faktor yang Mempengaruhi Keputusan Mahasiswa Dalam Pemilihan Mata Kuliah Konsentrasi di Program Studi Pendidikan Teknik Informatika dan Komputer Universitas Negeri Makassar,” vol. 1, no. 3, pp. 1–4, 2022.
N. L. G. P. Suwirmayanti and I. G. A. D. Saryanti, “undhirab,+Journal+manager,+69++Suwirmayanti+(519-526),” SINTESA, vol. 2, 2019.
Tira Nur Fitria, “Bimbingan Karir Bagi Lulusan Mahasiswa: Pelatihan Mencari Lowongan Pekerjaan, Menulis Surat Lamaran Pekerjaan dan Mendesain CV Menarik,” J. Entrep. Community Innov., vol. 1, no. 1, pp. 9–15, 2022, doi: 10.33476/jeci.v1i1.15.
P. Subekti, T. D. Andini, and M. Islamiyah, “Sistem Penentuan Konsentrasi Jurusan Bagi Mahasiswa Informatika Menggunakan Metode K-Means Di Institut Asia Malang,” J. Manaj. Inform., vol. 12, no. 1, pp. 25–39, Mar. 2022, doi: 10.34010/jamika.v12i1.6452.
A. Setiawan and A. Artanti, “Komparasi Metode Elimination Et Choix Traduisant La Realite (Electre) dan K-NN Similarity dalam Sistem Pendukung Keputusan Pemilihan Konsentrasi Jurusan …,” InfoTekJar J. Nas. Inform. dan …, vol. 2, 2021, [Online]. Available: https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/3360
M. Farid, S. Wibowo, N. F. Puspitasari, and B. Satya, “Penerapan Data Mining Dan Algoritma Naïve Bayes Untuk Metode Klasifikasi Abstraksi Pendahuluan Tinjauan Pustaka Metode Penelitian,” vol. 3, no. 2, 2022.
L. N. Prastika et al., “Pemodelan Metode Fuzzy Sugeno Untuk Penentuan Jurusan Sma Pada Siswa Smp Di Smp Bakti 17 Jakarta,” Semin. Nas. Mhs. Ilmu Komput. dan Apl., pp. 785–798, 2020.
K. R. Amalia, F. Rizki, and A. Setiawan, “Sistem Pendukung Keputusan Penentuan Jurusan di SMA Yadika Natar Dengan Algoritma Fuzzy C-Means,” Aisyah J. Informatics Electr. Eng., vol. 1, no, pp. 18–23, 2019, [Online]. Available: http://jti.aisyahuniversity.ac.id/index.php/AJIEE
D. Setiyawan, A. Arbansyah, and A. J. Latipah, “Fuzzy Inference System Metode Tsukamoto Untuk Penentuan Program Studi Fakultas Sains Dan Teknologi Di Universitas Muhammadiyah Kalimantan Timur,” JIKO (Jurnal Inform. dan Komputer), vol. 7, no. 1, p. 23, Feb. 2023, doi: 10.26798/jiko.v7i1.657.
V. Issue, M. Asman, D. H. Gutama, D. P. Wijaya, and A. Pramuntadi, “JUTIN : Jurnal Teknik Industri Terintegrasi Perancangan Sistem Prediksi Pembelian Stok Masker dengan Metode Fuzzy Mamdani ( Studi Kasus : Ud Masker Murah Jogja ),” vol. 6, no. 3, pp. 685–695, 2023.
Y. R. Ardiansyah, L. A. Syamsul, and I. Akbar, “Sistem Pengambilan Keputusan untuk Pemilihan Bidang Keahlian Bagi Mahasiswa Teknik Elektro Universitas Mataram Menggunakan Logika Fuzzy Mamdani Bertingkat Decision Making System for Determining Student Expertise Area in Electrical Engineering University of Mataram Using Graded Mamdani Fuzzy Logic,” 2021.
T. Triyah and C. Anggraini, “Pengaruh Komunikasi Strategi CSR Dan Stakeholder Management Terhadap Corporate Branding PT. Pertamina Ft Bandung Group,” eProceedings …, vol. 10, no. 1, pp. 493–504, 2023, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/download/19539/18916
M. R. Aprillya and U. Chasanah, “Sistem Pendukung Keputusan Identifikasi Daerah Rawan Kekeringan dengan Metode Fuzzy Analytical Hierarchy Process (Studi Kasus: Kabupaten Lamongan),” J. CoSciTech (Computer Sci. Inf. Technol., vol. 3, no. 2, pp. 159–167, 2022, doi: 10.37859/coscitech.v3i2.3983.
A. M. Abidin, “Penerapan Teori Belajar Behaviorisme dalam Pembelajaran ( Studi Pada Anak ),” An Nisa’, vol. 15, no. 1, pp. 1–8, 2022.
R. Ilham and H. Fryonanda, “Perancangan Prediksi Produksi Teh Menggunakan Metode Fuzzy Tsukamoto Berbasis Web,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 4, no. 1, pp. 16–22, 2023.
K. Muflihunna, “Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi,” 2022. [Online]. Available: http://journal.unnes.ac.id/sju/index.php/ujm
C. H. Nufus, I. Prihantoro, and P. D. M. H. Karti, “Jurnal Ilmu Nutrisi dan Teknologi Pakan,” vol. 20, no. 1, pp. 7–13, 2022.
G. Silalahi, “Model Optimasi Himpunan Fuzzy Untuk Menentukan Harga Jual Optimal Pada Daging Sapi,” vol. 3, pp. 3263–3275, 2023.
M. Sovina and F. A. Harahap, “Penentuan Status Gizi Dengan Indeks Massa Tubuh (IMT) Menggunakan Logika Fuzzy Determination of Nutritional Status With Body Mass Index (BMI) Using Fuzzy Logic,” InfoSys J., vol. 7, no. 1, pp. 105–116, 2022.
M. M. F. Fatori, “Aplikasi IoT Pada Sistem Kontrol dan Monitoring Tanaman Hidroponik,” J. Pendidik. Sains dan Komput., vol. 2, no. 02, pp. 350–356, Oct. 2022, doi: 10.47709/jpsk.v2i02.1746.