Study Program Selection Recommendation System Using the Fuzzy Inference System Mamdani
Abstract
This study presents a recommendation system for selecting study programs using the Mamdani fuzzy inference system. With the aim of assisting prospective students in making informed decisions, the system evaluates various factors including talents, UTBK scores, and school exam grades. The research utilizes the Temu Bakat test to assess talents and applies fuzzy logic to map inputs to outputs. Fuzzy rules are formulated based on the evaluation of antecedents, and aggregation combines multiple rules into a single output. Defuzzification converts fuzzy outputs into clear recommendations. The system's effectiveness is demonstrated through testing on students at UPI Campus in Cibiru, resulting in personalized study program recommendations for each student.
Downloads
References
M. I. Dzulhaq and R. Imani, "Sistem Pendukung Keputusan Pemilihan Konsentrasi Jurusan Menggunakan Fuzzy Inferrence Sistem Metode Mamdani," Jurnal Sisfotek Global, vol. 15, no. 2, pp. 75-80, 2015.
R. K. Niswatin, "Sistem Pendukung Keputusan Penempatan Jurusan Mahasiswa Baru Menggunakan Metode K-Nearest Neighbor," Cogito Smart Journal, vol. 1, no. 1, pp. 55-67, 2015.
A. Ulfa, D. Winarso and E. Arribe, "Sistem Rekomendasi Jurusan Kuliah Bagi Calon Mahasiswa Baru Menggunakan Algoritma C4.5," Jurnal Fasilkom, pp. 61-65, 2020.
A. Saifudin, "Metode Data Mining untuk Seleksi Calon Mahasiswa pada Penerimaan Mahasiswa Baru di Universitas Pamulang," Jurnal Teknologi, vol. 10, no. 1, pp. 25-36, 2018.
A. M. Syafar, "Sistem Pengambilan Keputusan Memilih Program Studi di UIN Alauddin Berbasis Web dengan Metode Analytic Hierarcy Process (AHR)," Jurnal Instek, vol. 3, no. 2, pp. 309-318, 2018.
H. N. F. Fikrillah and D. Kurniadi, "Rekomendasi Pemilihan Program Studi Menggunakan Algoritma Naïve Bayes," Jurnal Algoritma, vol. 20, no. 1, pp. 42-49, 2023.
R. Fitriawanti, I. Cholissodin and R. K. Dewi, "Klasifikasi dan Rekomendasi Jurusan Kuliah Bagi Pelajar SMA Menggunakan Algoritme Naïve Bayes-WP," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 11, pp. 4914-4922, 2018.
A. R. Pratama, R. R. Aryanto and A. T. M. Pratama, "Model Klasifikasi Calon Mahasiswa Baru untuk Sistem Rekomendasi Program Studi Sarjana Berbasis Machine Learning," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 9, no. 4, pp. 725-734, 2022.
F. A. Utama, "Survei: 87 Persen Mahasiswa di Indonesia Salah Jurusan," iNews.id, 7 February 2020. [Online]. Available: https://www.inews.id/news/nasional/survei-87-persen-mahasiswa-di-indonesia-salah-jurusan. [Accessed 2 October 2023].
M. S. Sulaiman, A. A. Tamizi, M. R. Shamsudin and A. Azmi, "Course recommendation system using fuzzy logic approach," Indonesian Journal of Electrical Engineering and Computer Science, vol. 17, no. 1, pp. 365-371, 2020.
J. Wei, J. He, K. Chen, Y. Zhou and Z. Tang, "Collaborative filtering and deep learning based recommendation system for cold start," Expert Systems with Applications, vol. 69, pp. 29-39, 2017.
R. Colomo-Palacios, F. J. García-Peñalvo , V. Stantchev and S. Misra, "Towards a social and context-aware mobile recommendation," Pervasive and Mobile Computing, vol. 38, pp. 505-515, 2017.
R. Yera and L. Martinez, "Fuzzy Tools in Recommender Systems: A Survey," International Journal of Computational Intelligence Systems, vol. 10, pp. 776-803, 2017.
Jasri and R. Nazli, "Penerapan Metode Mamdani untuk Sistem Pendukung Keputusan Penentuan Golongan Obat Sesuai dengan Penyakit Diabetes," JURNAL TEKNOLOGI DAN OPEN SOURCE, vol. 1, no. 2, pp. 67-74, 2018.
K. Tanaka, An Introduction to Fuzzy Logic for Practical Applications, New York: Springer New York, 1996.
