Author

Resmawan

Subject

- Sains

Abstract

Accreditation is a quality and feasibility assessment form in carrying out higher education. One of the factors that affect accreditation is the length of student study. In this study, the length of student study is classified by using the best attributes resulting from selecting information gain features. In optimizing the classification algorithm, we process the data by converting the original data into data that is ready to be mined. The next step is dividing the data into training and testing data so that the classification algorithm can be applied. This study gives the best four attributes, with K-nearest neighbor (K-NN) classification of 86.67% and random forest classification of 100%.

Publisher

Indonesian Journal of Applied Statistics

Contributor

Isran K Hasan; Resmawan Resmawan; Jefriyanto Ibrahim

Publish

2022

Material Type

ARTIKEL

Right

-