Perancangan Aplikasi Pengklasifikasian Dokumen Dengan Algoritma Nearest Neighbor

Abstract

The variation of language that using in document-composing imply a necessity of language-based classification. Therefore, the writer design a language-based document classifier application using The Nearest Neighbor Algorithm which is combined with Euclidean Distance. In classifying the document, the procedures of the research are about training the sample-document and testing the document which is going to be classified. The testing are done in documents which are written in Indonesian, English, and combination of the two languages. From this research, the writer concludes that the result of  feature’s utilization (which are the relative frequency of each character in the document) as a reference in Indonesian and English written document classification by using the Nearest Neighbor algorithm and Euclidean Distance is already good.