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Ultimo aggiornamento 2014-08-15
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Ultimo aggiornamento 2014-08-20
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penelitian ini berfokus pada prediksi kelulusan siswa dengan penambangan data menggunakan algoritma k nearest neighbor dan tingkat akurasi algoritma diukur menggunakan confusion matrix. penelitian ini menggunakan data dari mahasiswa program studi sistem informasi universitas riau yang telah lulus tahun 2014 - 2016 sebanyak 148 data. data dibagi menggunakan k fold dan dapat memprediksi kelulusan siswa dengan tingkat akurasi tertinggi 100% pada k fold 9
this study focuses on predicting student graduation with data mining using the k nearest neighbor algorithm and the accuracy level of the algorithm is measured using the confusion matrix. this studied uses data from students of the riau university information systems study program who have graduated from 2014 2016 as many as 148 data. the data is divided using k fold and can predict student graduation with the highest accuracy rate of 100% on k fold 9
Ultimo aggiornamento 2022-04-05
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