CLUSTERING BERITA SEPAK BOLA DENGAN METODE K-MEANS

Main Article Content

Radika Yudha Riyanto
Viny Christanti Mawardi
Novario Jaya Perdana

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.

Article Details

Section
Articles

References

Anita Dan J. Oliando, “Pengelompokkan Berita Kesehatan Pada Sosial Media Twitter Dengan Metode K-Means Clustering,” Jurnal Ensiklopedia, Vol. 2, No. 3, Pp. 116-124, 2022.

A. Y. Rofiqi, “Clustering Berita Olahraga Berbahasa Indonesia Menggunakan Metode K-Medoid Bersyarat,” Jurnal Simantec,Vol. 6, No. 1 2017.

E. Susanto, V. C. Mawardi Dan M. D. Lauro, “Aplikasi Clustering Berita Dengan Metode K Means Dan Peringkas Berita Dengan Metode Maximum Marginal Relevance,” Jurnal Ilmu Komputer Dan Sistem Informasi Aplikasi,Vol. 9, No. 1, Pp. 62-68, 2021.

A. S. Nosa, “Survei Tingkat Kebugaran Jasmani Pada Pemain Persatuan Sepakbola Indonesia Lumajang,” Jurnal Prestasi Olahraga, Vol. 1, No. 1, 2013.

Y. S. Dan B. Wasito, “Analisis Testimonial Wisatawan Menggunakan Text Mining Dengan Metode Naive Bayes Dan Decision Tree, Studi Kasus Pada Hotel - Hotel Di Jakarta,” Jurnal Informatika Dan Bisnis, Vol. 3, No. 2, Pp. 39-49, 2014.

R. Handoyo, R. R. M Dan S. M. Nasution, “Perbandingan Metode Clustering Menggunakan Metode Single Linkage Dan K-Means Pada Pengelompokan Dokumen,” Jurnal Sifo Mikroskil, Vol. 15, No. 2, Pp. 73-82, 2014.

A. N. Khomarudin, “Teknik Data Mining : Algoritma K-Means Clustering,” Jurnal Ilmu Komputer, Pp. 1-12, 2016.

M. Nishom, “Perbandingan Akurasi Euclidean Distance, Minkowski Distance, Dan Manhattan Distance Pada Algoritma K- Means Clustering Berbasis Chi-Square,” Jurnal Informatika: Jurnal Pengembangan IT (Jpit), Vol. 4, No. 01, Pp. 20-24, 2019.

B. Wira, A. E. Budianto Dan A. S. Wiguna, “Implementasi Metode K-Medoids Clustering Untuk Mengetahui Pola Pemilihan Program Studi Mahasiwa Baru Tahun 2018 Di Universitas Kanjuruhan Malang,” Jurnal Terapan Sains & Teknologi,Vol. 1, No. 3, Pp. 53-68, 2019.

M. A. Nahdliyah, T. Widiharih Dan A. Prahutama, “Metode K-Medoids Clustering Dengan Validasi Silhouette Index Dan C-Index,” Jurnal Gaussian,Vol. 8, No. 2, Pp. 161-170, 2019.