Data Mining Peminatan Mata Kuliah Pilihan Mahasiswa Tingkat Akhir Jurusan Informatika Menerapkan Algoritma C4.5
DOI:
https://doi.org/10.47065/bulletincsr.v3i3.243Keywords:
Subject Specialization; Decision Trees; Data Mining; Analysis; Informatics; C4.5 AlgorithmAbstract
Determination of elective courses in the Informatics department, especially final year students so that they are in accordance with their wishes and interests is something that is expected. However, in fact it is not easy to be able to ascertain student interest in choosing appropriate special courses due to the limited information they have. Various obstacles and factors experienced by the campus in order to know the interest of students in choosing these courses according to the criteria are indeed quite confusing. Therefore the researchers took the initiative to create a decision support system to see the decisions made by final year students in choosing this specialization based on data mining as the chosen method. The choice of specialization will later be determined from three courses which are indeed elective courses that have been provided by the campus so that later on they can evaluate which courses are most in demand by final year students. A decision support system through an interest in elective courses using the data mining method is expected to help the campus evaluate interest in elective courses as desired and can optimize student academic achievement as well as being a record for the campus in the utilization of the elective courses given as the basis for lecture success furthermore. The results of this study are a decision tree that will show which subjects are interested or not interested in the 100 samples in this study.
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