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Implementation ID3 Algorithm to Predict Children Achievement in Response (Case Study Children Playgroup School)

机译:实现ID3算法预测响应中儿童成就(案例研究儿童游戏组学校)

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摘要

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%. On 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.
机译:在决策支持系统中,许多基于决策树进行的方法。已经实现的算法,其中一个是ID3(迭代二分化3)算法。预测未来的情况是复杂的,需要时间。学生回应是衡量环境中知识和适应儿童的增长的一项活动,特别是在教育中。与该陈述相关联,本研究中的目的提供了关于与ID3算法预测学生成就响应的决策树的解释。响应是在Playgroup学校中的主题,以便在每个孩子中看到认知反应的速度。该系统一直在分类具有高响应的学生。在使用三个参数的45个学生数据中,系统一直在选择具有强烈反应的儿童的位置。参数用于将学生分类在本研究中,例如出勤,个人态度和创造力。同时,本研究中的目标参数是响应参数。在算法ID3中,总学生必须精确到45名学生。包括数据,数据已经由上面的参数创建,衡量差,中等和良好。已构造的系统的结果是基于if-then推断的决策树规则,并说明了良好或不好的响应。系统的准确性已创建为100%。在结论中,使用ID3算法在本研究中,可以注意到个人态度对认知角度对儿童的反应产生重大影响。

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