Implementation Id3 Algorithm To Predict Children Achievement In Response (case Study Children Elementary School)

Nursikuwagus, Agus (2020) Implementation Id3 Algorithm To Predict Children Achievement In Response (case Study Children Elementary School). [Teaching Resource]

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Kumpulan Penelitian In decision support system, many methods which conducted based on decision tree. The algorithm that has implemented, one of them is ID3 (Iterative Dichotomized 3) algorithm. To predict the future situation is complicate and need the time. Student response is one activity to measure the growth of knowledge and adaptation children in the environment, especially in education. In association with that statement, the purpose in this research provides explanation about the decision tree that has been predicting student achievement response with ID3 algorithm. Response is the subject in the playgroup school that has measured to see the speed of cognitive response in every child. The system has been classifying student that has a high response. On 45 student data which used three parameters, the system has been selecting where the children who have strong response. Parameters are used to classify the student in this research such as attendance, personal attitude, and creativity. Meanwhile, the target parameter in this research is response parameter. In algorithm ID3, the total student has to 45 students precisely. Including the data, the data has been created by the parameter above have measure such as bad, medium, and good. The result of the system that has been constructed is the decision tree rule based on IF-THEN inference and stated good or bad response. The accuracy of the system has created is 100 percent. In the conclusion, the using of ID3 algorithm in this research, it can be noticed that personal attitude have significant influence to a children response in cognitive perspective.

Item Type: Teaching Resource
Subjects: ?? kuliahonline2020 ??
Divisions: Universitas Komputer Indonesia
Depositing User: M.Kom Taryana Suryana
Date Deposited: 07 Sep 2020 09:00
Last Modified: 07 Sep 2020 09:00

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