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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Radika Yudha Riyanto
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Computer Science & IT Mathematics Other

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CLUSTERING BERITA SEPAK BOLA DENGAN METODE K-MEANS Radika Yudha Riyanto; Viny Christanti Mawardi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i1.24072

Abstract

Until now, many Indonesian people like soccer, both domestically and abroad. With so many football enthusiasts, people are becoming more active in finding news related to football. As time goes by, the amount of news circulating on the internet will also be more and more widespread. The large number of news makes the news need to be clustered or clustered to make it easier to access existing news. The website created is intended to group soccer news from several websites, namely: vivagoal.com, goal.com and bolasport.com. The method used on this website is K-Means to group news into clusters, then the method used to evaluate the quality of the clusters formed is the Silhouette coefficient method. The Silhouette coefficient value is 0.54, which means that the quality of the cluster formed is moderate.
Co-Authors Novario Jaya Perdana Viny Christanti M