Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/61507
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dc.contributor.advisorErfiani
dc.contributor.advisorWijayanto, Hari
dc.contributor.authorPipih
dc.date.accessioned2013-03-20T07:17:09Z
dc.date.available2013-03-20T07:17:09Z
dc.date.issued2012
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/61507
dc.description.abstractRegression 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.en
dc.subjectregression treeen
dc.subjectstudent’s achievementen
dc.subjectcomplex dataen
dc.titleThe Application of Regression Tree on Student’s Achievement at Al- Atiqiyah Senior High School Sukabumien
dc.titleAplikasi Regression Tree pada Prestasi Siswa SMA ALAtiqiyah Sukabumi
Appears in Collections:MT - Mathematics and Natural Science

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