KOMBINASI ALGORITMA FUZZY NAIVE BAYES PADA PEMILIHAN BIDANG KEAHLIAN MAHASISWA TEKNIK INFORMATIKA UNISLA

Nurul Fuad

Abstract


The success of college can be seen in the smooth process of students in taking lectures on time, it means that if students determine the choice of majors in accordance with their field of expertise, then certainly there will be no difficulty to develop themselves in the lecture process. Therefore, in this study by using two algorithms, Fuzzy and Naive Bayes to determine the areas of expertise of students. Informatics Engineering students have the opportunity to choose a field of expertise, namely: the network expertise, programming, and design. Not all students will master the area of expertise, so they must choose according to their skills, hobbies, and favorite subjects, and grades. This research will create a system for classifying the expertise of UNISLA informatics engineering students. The algorithm implemented is Fuzzy to categorize the values or input numbers, while Naïve Bayes is used for classification. The trial process results accuracy of 100%.

Full Text:

PDF

References


Darmawan, R. 2017. Perancangan Implementasi Sistem Pendukung Keputusan Penentuan Dosen Pembimbing Seminar Proposal Menggunakan Metode Naive Bayes.

Hartatik. 2017. Klasifikasi Konsentrasi Penjurusan Mahasiswa Universitas Amikom Yogyakarta.

Nafi'iyah N. dan Fatichah, C. 2018. Metode Fuzzy ID3 untuk Klasifikasi Bentuk Wajah Manusia Menggunakan Dental Panoramic.

Nafi'iyah N. dan Mujilahwati, S. 2018, Agustus. Analisis Algoritma Backpropagation dan Naive Bayes dalam Identifikasi Jenis Kelamin Manusia Berdasarkan Foto Panoramik Gigi


Refbacks

  • There are currently no refbacks.