Petir
Vol 12 No 2 (2019): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)

Penentuan Jumlah Kelas Matakuliah Menggunakan Fuzzy Tsukamoto dan Metode K-Means Cluster

Yessy Fitriani (Sekolah Tinggi Teknik PLN)
Mochamad Farid Rifai (Unknown)
M. Yoga Distra Sudirman (Unknown)



Article Info

Publish Date
10 Sep 2019

Abstract

The prediction of the number of courses is done by the department before making a schedule for each course. In practice, the number of classes in each course has a different number and there is often an opening or closing class when compiling a KRS due to the number of classes that are not in accordance with the number of students. A system is needed to produce a number of classes so that it can reduce the number of opening classes because the demand for a higher number of classes is in the class because of the interest in a class that will be opened. Fuzzy methods are used to predict students who will repeat the course based on student force and value variables. The K-Means method is used to classify the subjects with the number of students converted into 2 groups based on the number of students who have been taken and the number of students who repeat a number of subjects. The two methods used are implemented in the application system to predict the number of classes. The results of the fuzzy and K-method processes mean the output of the application predictions the number of classes.

Copyrights © 2019






Journal Info

Abbrev

petir

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Journal Petir is a scientific journal published by STT-PLN Department of Information Engineering since 2007, as a media for disseminating research results, Library Study Technique, Observation Result, Surveying Survey, STT-PLN Department of Informatics Engineering and Supporting Science Development ...