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      The Application of Regression Tree on Student’s Achievement at Al- Atiqiyah Senior High School Sukabumi

      Aplikasi Regression Tree pada Prestasi Siswa SMA ALAtiqiyah Sukabumi

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      Date
      2012
      Author
      Pipih
      Erfiani
      Wijayanto, Hari
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      Abstract
      Regression Tree (Regression Trees) is a non-parametric technique. This technique is used to explore the large and complex data. Complex dimensions can be formed large data, mixed data types, such as continuous and categorical, either nominal or ordinal. One application of regression tree is in the field of education, including to determine the factors that affect student’s achievement (academic ability) students that is the results of National Examination (UN). There are many factors influenced student’s achievement, those are internal and external factors. There are four factors that most influenced on student’s achievement, those are environment where the student lived, the average score of student’s report, final test, and gender.
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      http://repository.ipb.ac.id/handle/123456789/61507
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      • MT - Mathematics and Natural Science [4149]

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      Indonesia DSpace Group 
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