KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 2 (2022): Kalbisiana

Pengembangan Model Klasifikasi Dokumen Artikel Teks Berita Olahraga dan Bukan Olahraga dalam Bahasa Indonesia Menggunakan Algoritma Support Vector Machine

Muhammad Alif Iman Aulia (Institut Teknologi dan Bisnis Kalbis)
Yulia Ery Kurniawati (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
26 Jul 2022

Abstract

The purpose of classification is to inform the machine (algorithm) of group division or in other words, teach the machine how to divide the group. The classification process uses the Support Vector Machine (SVM) method. SVM is used because it has a good reputation in the classification. This study aims to classify sports news and non-sports news using the SVM algorithm and with the addition of n-gram features and Term Frequent Inverse Document Frequency (TF-IDF). The results showed an accuracy of 92%.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...