Penerapan Metode CRISP-DM untuk Prediksi Kelulusan Studi Mahasiswa Menempuh Mata Kuliah (Studi Kasus Universitas XYZ)
Abstract: XYZ University as
the leading private universities in Indonesia is required to improve its
quality of education to produce quality graduates. To produce quality
graduates, students’ success in their study is very influential. Student study
success can be judged from several aspects of assessments in the lecture. For
information systems courses, student success can be viewed in several student
assessment aspects such as assignments, Mid-Semester Exam, and End-Semester
Exam. More in-depth analysis on the value of the portion of the pattern of
student needs in order to know the hidden patterns and to discover the
knowledge of students will predict course passing success. This pattern is
expected to help increase the success of students study. This research used
CRISP-DM methods as standard processes for data mining that can be applied to
the general problem-solving strategies on business or to other research units.
Election algorithm as an algorithm C4.5 decision tree is used to facilitate the
establishment. The results of this research study is the prediction of the
pattern of graduation students in taking the course. This pattern is generated
from the decision tree is expected to be a reference for graduate studies
students take a course in information systems courses XYZ University.
Penulis: Annisa Paramitha
Fadillah
Kode Jurnal: jptinformatikadd150370
