PENERAPAN ALGORITMA C5.0 PADA ANALISIS FAKTOR-FAKTOR PENGARUH KELULUSAN TEPAT WAKTU MAHASISWA TEKNIK INFORMATIKA UMM
| Main Author: | Pramudita, Andriani Eka |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/46193/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/46193/2/BAB%20I.pdf http://eprints.umm.ac.id/46193/3/BAB%20II.pdf http://eprints.umm.ac.id/46193/4/BAB%20III.pdf http://eprints.umm.ac.id/46193/5/BAB%20IV.pdf http://eprints.umm.ac.id/46193/6/BAB%20V.pdf http://eprints.umm.ac.id/46193/ |
Daftar Isi:
- Timely graduation of college students is one of the problems that is difficult to overcome by each college, as well as in the Department of Informatics, University of Muhammadiyah Malang. This problem must be resolved immediately, considering the quality of students will affect the accreditation of university and its majors. So, it is necessary to analyze the factors that influence the timely graduation of Informatics Engineering students in UMM. This study uses the C5.0 algorithm to do feature selection and regression analysis to estimate the opportunities of timely graduation. The independent variables used are gender, regional origin, entry status, academic credit system in 4th semester, academic credit system in 6th semester, grade point of 2nd semester, grade point of 4th semester, grade point of 6th semester, grade point average of 2nd semester, grade point average of 4th semester, grade point average of 6th semester, type of senior high school, status of senior high school, parent’s education, and parent’s job. The results of the implementation of the C5.0 algorithm in this study were able to do feature selection by producing 8 out of total 15 features with better accuracy than the value of accuracy using all features. And this study is able to provide a regression model with an accuracy value of 82%.