STUDENT PERFORMANCE ANALYSIS USING C4.5 ALGORITHM TO OPTIMIZE SELECTION
| Autor: | Hilda amalia, Yunita Yunita, Ari Puspita, Ade Fitria Lestari |
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| Jazyk: | English<br />Indonesian |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Pilar Nusa Mandiri, Vol 16, Iss 2, Pp 149-154 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1978-1946 2527-6514 |
| DOI: | 10.33480/pilar.v16i2.1348 |
| Popis: | Education is one of the fields that generate heaps of data. Pile of data that can utilized by higher education institutions to improve tertiary performance. One way to process data piles in the education is to use data mining or called education data mining. The quality assessment of educational institutions conducted by the community and the government is strongly influenced by student performance. Students who have poor performance will have a negative impact on educational institutions. Student data is processed to obtain valuable knowledge regarding the classification of student performance. One method of data mining is the C4.5 algorithm which is known to be able to produce good classifications. In this research and optimization method will be used namely optimize selection on the c4.5 algorithm. Based on the research, it is known that the optimization selection optimization method can improve the performance of algorithm c4.5 from 85% to 87%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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