Safrina Maizura, NPM 2007100023 (2023) ANALYSIS OF THE DECISION TREE METHOD FOR DETERMINING INTEREST IN PROSPECTIVE STUDENT COLLEGE. Tugas_Akhir (Artikel) Sinkron : Jurnal dan Penelitian Teknik Informatika, 8 (2). pp. 956-979. ISSN 2541-2019 (e-ISSN) / 2541-044X (p-ISSN)
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Abstract
Education is learning science, skills that are carried out by a person or a group of people. The education level starts form Elementary School Education, Junior High School and High School. Apart from that, the highest level of education is college. Lectures are further education carried out by people to gain knowledge and degrees. In college education everyone can choose their respective majors, according to their wishes and desires. With college education, there will be many prospective students who will go to college. But the interest of prospective students to study varies, there are some prospective students who want to study in public and there some who want to study privately. Therefore the author will make research about prospective students interest in college. This study aims to see the college interest of prospective students. For this research a data classification of prospective students will be carried out using the Decision Tree Method. For this research stage using the Decision Tree Method, the first is using data analysis, then data preprocessing, then the Decision Tree Method design and finally data mining testing. The classification was carried out using the Decision Tree method using 65 porspective student data. From the results of the classification of prospective students who are interested in studying are 46 prospective students. The classification results above show that many prospective students are interested in studying. Keywords : Confusion Matrix, Data Mining, Decision Tree, Orange, Tree Review.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Confusion Matrix, Data Mining, Decision Tree, Orange, Tree Review. |
| Subjects: | L Education > LB Theory and practice of education > LB2300 Higher Education T Technology > T Technology (General) T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Fakultas Sains Dan Teknologi > Informatika Komputer |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 19 Jul 2024 08:17 |
| Last Modified: | 19 Jul 2024 08:17 |
| URI: | http://repository.ulb.ac.id/id/eprint/855 |
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