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IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOUR DALAM PREDIKSI KELULUSAN UNAS DAN KENDALA SISWA DALAM MATAPELAJARAN TERTENTUBERDASAR HASIL TRYOUT (Studi Kasus di SMA PGRI Lawang)

PERDANA, AKMAL KURNIAWAN (2012) IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOUR DALAM PREDIKSI KELULUSAN UNAS DAN KENDALA SISWA DALAM MATAPELAJARAN TERTENTUBERDASAR HASIL TRYOUT (Studi Kasus di SMA PGRI Lawang). Other thesis, University of Muhammadiyah Malang.

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Abstract

The graduation standard of national final exam grow higher each year, this standard makes worried the students and the school sides. One thing to do to handle this problem is preparing to face national final exam, one of the option to do in preparing is making a tryout. Student whose get a low grade in tryout not necessarily get a low grade in national final exam too, because the different question quality from national final exam and tryout. It’s not easy to predict the result from national final exam by seeing the result from tryout. This research makes an application to predict the result of national final exam based on the result of tryout exam using K-Nearest Neighbors algorithm by searching proximity from data tryout final national exam participant with data tryout and result data from final national exam a year ago. After knowing the proximity point same as K, then the predict result of national final exam will be known. Based on evaluation result that have done, performance from K-Nearest Neighbors Algorithm is great. Because of accuracy level when k=1 is 92.4%, and keep growing until achieve value 100% at k=7 with testing data from 66 students. ThatÂ’s because of quality from data reference and data test.

Item Type: Thesis (Other)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Halimatus Zahroh
Date Deposited: 12 Nov 2015 05:07
Last Modified: 12 Nov 2015 05:07
URI : http://eprints.umm.ac.id/id/eprint/19197

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