Please use this identifier to cite or link to this item:
http://repository.ipb.ac.id/handle/123456789/60202
Title: | Prediksi Tingkat Keberhasilan Mahasiswa Tingkat I IPB Dengan Metode k-Nearest Neighbor |
Authors: | Sitanggang,Imas Sukaesih Purnama, Endang Faiza, Ninon Nurul |
Keywords: | Bogor Agricultural University (IPB) k-nearest neighbor classification |
Issue Date: | 2009 |
Abstract: | Analysis of academic data and personal data of first-year students in IPB is necessary to predict the successful of their study in the end of the first year. One of techniques in classification that can be used for completing that task is k-nearest neighbor that will build a classifier. This research aimed to develop classifier to predict the successful of first year students at IPB. The attributes used in this research are selected based on target class-influenced statistic hipotesis test. Chi-square test is implemented for nominal attributes whereas Spearman Rank Correlation Coeficient test is used for selecting the numerical attribute. The result of this research is a classifier with accuracy 52.97%. |
URI: | http://repository.ipb.ac.id/handle/123456789/60202 |
Appears in Collections: | UT - Computer Science |
Files in This Item:
File | Description | Size | Format | |
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Abstract.pdf Restricted Access | Abstract | 332.89 kB | Adobe PDF | View/Open |
BAB I Pendahuluan.pdf Restricted Access | BAB I | 342.92 kB | Adobe PDF | View/Open |
BAB II Tinjauan Pustaka.pdf Restricted Access | BAB II | 530.33 kB | Adobe PDF | View/Open |
BAB III Metode Penelitian.pdf Restricted Access | BAB III | 361.48 kB | Adobe PDF | View/Open |
BAB IV Hasil dan Pembahasan.pdf Restricted Access | BAB IV | 473.56 kB | Adobe PDF | View/Open |
BAB V Kesimpulan dan Saran.pdf Restricted Access | BAB V | 344.77 kB | Adobe PDF | View/Open |
Cover.pdf Restricted Access | Cover | 342.87 kB | Adobe PDF | View/Open |
Daftar Pustaka.pdf Restricted Access | Daftar Pustaka | 332.96 kB | Adobe PDF | View/Open |
G09nnf.pdf Restricted Access | full text | 929.37 kB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 488.11 kB | Adobe PDF | View/Open |
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