Analisis Clustering Buku Sebagai Upaya Untuk Meningkatkan Minat Baca Siswa Pada Perpustakaan SMA Negeri 3 Pekanbaru
Abstract
SMA Negeri 3 Pekanbaru has a library room which is expected to be a forum for and attract students' interest in reading, however with the existence of library management problems that still need to be addressed such as books that are not arranged according to their classification resulting in reduced interest in reading students at the school. This study uses the K-Means algorithm clustering method using book borrowing data in 2022 in grouping types of books. From this research, the results of data on books that are rarely borrowed and often borrowed are obtained. The results of this study can be used as a decision support in library management at SMA Negeri 3 Pekanbaru, namely by grouping books that are often borrowed close to books that are rarely borrowed. Besides that, you can also add books with data on books that are rarely borrowed so that you can add variety to these books read or borrow
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References
[2] E. Asril, F. Wiza, dan Y. Yunefri, "Analisis Data Lulusan dengan Data Mining untuk Mendukung Strategi Promosi Universitas Lancang Kuning," Jurnal Teknologi Informasi & Komunikasi Digital Zone, vol. 6, no. 2, pp. 24-32, 2015.
[3] D. L. Karputri dan W. Y. Wiza, "Analisis Klastering Buku sebagai Evaluasi untuk Peningkatan Minat Baca Perpustakaan SMAN 1 Grogol," JEISBI, vol. 3, no. 3, pp. 94-101, 2022.
[4] E. A. Firdaus dan S. M. S. M. Pengukuran Minat Baca Mahasiswa Dengan Metode Clustering Di Perpustakaan Akademi Keperawatan Rs.Dustira Cimahi Menggunakan Data Mining," Jurnal Nuansa Informatika, vol. 15, no. 1, pp. 32-40, 2021.
[5] Y. S. Halipah, "Implementasi Data Mining Dalam Pengelompokan Peminatan Literasi Menggunakan Algoritma K-Means Clustering Pada Perpustakaan Smk Negeri 1 Patumbak," Jurnal CyberTech, vol. 1, no. 10, pp. 1-9, 2018.
[6] D. N. Haryani, "Implementasi Data Mining Untuk Pengelempokan Buku Di Perpustakaan Yayasan Nurul Islam Indonesia Baru Dengan Metode K-Means Clustering," Jurnal CyberTech, vol. 1, no. 1, pp. 1-12, 2021.
[7] L. Iryani, "Penerapan Datamining Menentukan Minat Baca Mahasiswa Di Perpustakaan Universitas Bina Darma Palembang Menggunakan Metode Clustering," Journal of Information Technology and Computer Science (INTECOMS), vol. 3, no. 1, pp. 82-89, 2020.
[8] J. Nasir, "Penerapan Data Mining Clustering Dalam Mengelompokan Buku Dengan Metode K- Means," Jurnal Simetris, vol. 11, no. 2.
[9] A. S. N. Hasanah, "Implementasi Data Mining Untuk Pengelompokan Buku Menggunakan Algoritma K-Means Clustering (Studi Kasus : Perpustakaan Politeknik Lpp Yogyakarta)," Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 4, no. 2, pp. 300-311, 2022.
[10] M. S. S. Fitriani, "Implementasi Data Mining Dalam Pengelompokkan Minat Baca Pengunjung Pada Perpustakaan STMIK Triguna Dharma MedanMenggunakan Metode K-Means," Jurnal CyberTech, pp. 1-14, 2021.
[11]P. Taufik Firmansyah, "Analisis Clustering Algoritma K-Means Sebagai Rekomendasi Penambahan Koleksi Buku Di Perpustakaan Madrasah Tsanawiyah Negeri 2 Simalungun," Buletin Big Data, Data Science and Artificial Intelligence, vol. 1, no. 1, pp. 44-48, 2022.
