| Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
|---|---|---|
| Article Number | 21002 | |
| Number of page(s) | 5 | |
| Section | Business Intelligence | |
| DOI | https://doi.org/10.1051/e3sconf/201912521002 | |
| Published online | 28 October 2019 | |
Implementation of C4.5 Algorithm and Forward Chaining Method for Higher Education Performance Analysis
1 Magister Program of Information System, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Statistics, Faculty of Science and Mathematics, Diponegoro University, Semarang – Indonesia
3 Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang - Indonesia
* Corresponding author: idrez.mochamad@gmail.com
Higher education has an important role to develop human resources in the economic growth and development of the country. One of specific way of evaluating and analyze data in education is to use data mining techniques. C4.5 algorithm as one of the data mining techniques that have good performance is very relevant used for data analysis tools. In this research using data on the performance of lecturers in college, there are 100 records with a 6 variable that affects individual factors in the productivity of lecturers including age, employment, attendance, certification, position, Education, and additional duties. In the end of the mining result, the forward chaining method is used to extract the rules that are generated by C4.5 algorithm. The input premises are examined by forwarding chaining to generate the prediction result.
Key words: Data Mining / Decision Tree / C4.5 Algorithm / Forward Chaining Method / Higher Education Performace
© The Authors, published by EDP Sciences, 2019
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