Learning Style Test for Cadets Using Regression K-Nearest Neighbors Classification

Proceedings of The 4th International Conference on Research in Education

Year: 2021


[Fulltext PDF]

Learning Style Test for Cadets Using Regression K-Nearest Neighbors Classification

Wiwid Suryono, Yuyun Suprapto, Ariyono Setiawan, Linda Winiasri



Learning is a relatively potential behavior as a result of experience or practice. Everyone has a different learning style. A person’s learning style is divided into three types, namely visual, auditory, and kinesthetic. Currently there are many types of learning media that can be used for learning. Both for learning in class and for independent study. In the research, the relationship between these variables is functional. In regression analysis, the variables are divided into two parts, namely the response variable (response variable) or commonly called the dependent variable (the dependent variable), and the explanatory variable or commonly called the estimator (predictor variable) or also called the independent variable (independent variable). In regression analysis to determine the key variables that have an influence on a variable, modeling, as well as estimation (estimation) or forecasting (forecasting). By involving visual, auditory, and kinesthetic aspects, it is expected to increase learning activities. The k-Nearest Neighbor algorithm uses the Neighborhood Classification as the predictive value of the new instance value. The training data is presented to a multidimensional space, each dimension describing a feature of the data. This space is divided into sections based on the classification of training data

keywords: Cadets, Learning Style, Regression, K-Nearest Neighbors Classification, Visual, Auditory, Kinesthetic.