The Application of Data Mining Techniques as a Diagnostic Tool in Forecasting The Learning Ability of Students Through Electronic Media
This research aims to cast a model developed by the Artificial Neural Network (ANN) in forecasting the learning
ability of students through electronic media in the Suan Sunandha Rajabhat University. The neural network technique
(Artificial Neural Networks - ANN) is developed with a view to support student by focusing on student and allow student to
select the best compatible learning method in both classroom and electronic media contexts. The results show that the most
accurate model in this study is the Class-Validation 100 Folds model, accounted for 94.46 % of accuracy. This is because the
segmented information is divided into 100 parts. Those 100 parts are alternately employed to teach and test which provide
more accuracy that other models.
Index Terms—Artificial Neural Network, Classification, Students.