Open AccessANALISIS REKOMENDASI PEMINATAN MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA C4.5
Author(s) -
Stefanny Claudia,
Tri Sutrisno
Publication year - 2018
Publication title -
computatio
Language(s) - English
Resource type - Journals
eISSN - 2549-2829
pISSN - 2549-2810
DOI - 10.24912/computatio.v2i2.2568
Subject(s) - preference , computer science , decision tree , tree (set theory) , machine learning , artificial intelligence , statistics , mathematics , mathematical analysis
The application created are used to analyze which thesis preference subject suits students academic performance based on their academic grades. The application also provide online academic consultations features which students can use for their academic consultations. To find their thesis preference, the application use decision tree method with C4.5 algorithm. Testing prediction system using students data from 2012 to 2015 who have found their thesis preference. The value data used is 32 mandatory courses in the Faculty of Information Technology before thesis preference. The application can run , use and perform well in accordance with the design made. Testing is to compare the accuracy of the selected tree model build from training data and the thesis preference students have selected. The average accuracy percentage of this a 72,6227%.