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Neni Firda Wardani Tan
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Computer Science & IT Electrical & Electronics Engineering

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Classification using the C4.5 Algorithm in Predicting Students Organizational Status Amikom University Yogyakarta Neni Firda Wardani Tan; Kusnawi Kusnawi
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v11i3.2054

Abstract

Participation in an organization as a college student is an important way to self-improvement. This research analyzes students' learning in an organization and whether the student is active or not active in an organization using the Decision Tree C4.5 algorithm. Attributes analyzed were out-of-campus organization, previous organization experience, public speaking, problem-solving, confidence level, and personality. From a question from propagating on October 2021, the researcher collect 203 raw data, with 167 processes ones that were used in this research. The test conducted results in a tree or the decision tree that could be used to decide how active a student is in an organization. The accuracy value of this test using cross-validation resulted in a score of 59.27% or in comparison to the data training: data testing of 4:1 or 80%: 20%.
Co-Authors Kusnawi Kusnawi