PERBANDINGAN METODE K-NEAREST NEIGHBOR DAN METODE NAIVE BAYES UNTUK KLASIFIKASI KOMENTAR PRODUK ONLINE SHOP BERDASARKAN ULASAN PEMBELI

NUGROHO, ADI and Efendi, Rusdi and Miraswan, Kanda Januar (2018) PERBANDINGAN METODE K-NEAREST NEIGHBOR DAN METODE NAIVE BAYES UNTUK KLASIFIKASI KOMENTAR PRODUK ONLINE SHOP BERDASARKAN ULASAN PEMBELI. Undergraduate thesis, Sriwijaya University.

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Abstract

Classification is the process of predicting data class or object which class label is unknown to the existing label or class. The classification methods including K- Nearest Neighbor and Naive Bayes. Both methods are compared for the comments classification based on the words contained in the comments that based on buyer reviews on online shop product. The comparison result shows that Naïve Bayes obtained better recall accuration rate than K-Nearest Neighbor in negative class using T-Test with value of 0.78, while recall value of K-Nearest Neighbor is 0.61.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Comment Classification, K-Nearest Neighbor Method, Naive Bayes Method.
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	03 Oct 2019 07:45
Last Modified:	03 Oct 2019 07:45
URI:	http://repository.unsri.ac.id/id/eprint/10151

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