Analysis of Graduate Success Patterns Based on Association Rule Mining to Increase the Achievement of the Performance Index of Higher Education Graduates
(1) * wasilah wasilah
(Institut Informatika dan Bisnis Darmajaya, Indonesia)
(2) Halimah Halimah
(Institut Informatika dan Bisnis Darmajaya, Indonesia)
* corresponding author
Abstract
The main performance index (KPI) of graduates is an important factor for universities. However, there is still very little research that discusses the achievement of IKU graduates. If this is managed well, universities can take more effective action to improve the quality of education and prepare graduates to be successful in their careers. This research will utilize data mining to photograph the achievements of implementing one of the main performance indices in higher education.
This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License .
________________________________________________________
The International Journal of Artificial Intelligence Research
Organized by: Departemen Teknik Informatika Published by: STMIK Dharma Wacana Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung
Email: jurnal.ijair@gmail.com
<div class="statcounter"><a title="website statistics" href="http://statcounter.com/" target="_blank"><img class="statcounter" src="//c.statcounter.com/11317193/0/29cc2e6b/0/" alt="website statistics"></a></div> View IJAIR Statcounter
This work is licensed under Creative Commons Attribution-ShareAlike 4.0 International License .