PREDIKSI JUMLAH KELAS SUATU MATAKULIAH MENGGUNAKAN MENGGUNAKAN METODE FUZZY (STUDI KASUS : JURUSAN TEKNIK INFORMATIKA STT-PLN JAKARTA )
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
FAIQOH, MUWAROKATUL
Fitriani, Yessy
Prathama, M. Fadli
Fitriani, Yessy
Prathama, M. Fadli
Subject
Teknik Informatika
Datestamp
2022-09-22 03:29:48
Abstract :
Prediction of the number of courses carried out by secretary majoring in Informatics Engineering before making a schedule of each course. In practice the number of classes in each course has a different number and there is often an opening or closing of classes when the preparation of the KRS results from the number of classes that are not in accordance with the number of students. A system is needed to generate predictions of the number of classes, thereby reducing the possibility of opening a new class because the demand exceeds the existing class capacity or classroom closure due to a lack of interest in a class to be opened. Fuzzy method is used to predict the tendency of students who will repeat a course based on the variable of force and student value. K-Means method is used to classify subjects with the number of students who repeat into 3 groups based on the number of students who have taken and the number of students repeat a course. Of the two methods used are implemented into the system of predictions of the number of classes. The result of the fuzzy and Kmeans method is the output in the class prediction app.
Prediction of the number of courses carried out by secretary majoring in Informatics Engineering before making a schedule of each course. In practice the number of classes in each course has a different number and there is often an opening or closing of classes when the preparation of the KRS results from the number of classes that are not in accordance with the number of students. A system is needed to generate predictions of the number of classes, thereby reducing the possibility of opening a new class because the demand exceeds the existing class capacity or classroom closure due to a lack of interest in a class to be opened. Fuzzy method is used to predict the tendency of students who will repeat a course based on the variable of force and student value. K-Means method is used to classify subjects with the number of students who repeat into 3 groups based on the number of students who have taken and the number of students repeat a course. Of the two methods used are implemented into the system of predictions of the number of classes. The result of the fuzzy and Kmeans method is the output in the class prediction app.
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