Sistem Informasi Akademik Serta Penentuan Kelas Unggulan Dengan Algoritama K-Means di SMP Negeri 3 Ubud
Abstract views: 1729 , pdf downloads: 1233Abstract
SMP Negeri 3 Ubud is educational establishments located at Silungan Lotunduh Ubud. SMP Negeri 3 Ubud has excellent class, to define the student entry into superior class using a manual system that is using Microsoft Excel. This system is inefficient because it requires a lot of time when creating. In addition to the data processing of academic, especially a student's scores are still manually so difficult when creating repot. Based on the problems it created an Academic Information System as well as the determination of class excellent using clustering method with K-Means algorithm. with the academic information system and determination superior class computerized then administrative staff easier and faster in processing student data, teacher data and employee data. The method used to determine which class superior that is Clustering K-Means algorithm. With the K-Means algorithm will process the value system and grouping students according to the value closest to the cluster center point. With this system superior class determination more quickly and efficiently
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] I. Pratistha, P. Sugiartawan, U. G. Mada, M. Manajemen, and U. G. Mada, “Sistem Pendukung Keputusan Kelompok Pemilihan E-Commerrce Menggunakan Metode Profile Matching dan BORDA,” vol. 1, no. 1, 2018.
[3] Ediyanto; Mara, Muhlasah N, dan Satyahadewi, Neva, ”Pengklasifikasian Karakteristik Dengan Metode K-Means Cluster Analysis”, Buletin Ilmiah Mat. Stat. dan Terapannya (Bimaster) Vol. 2, No 2, 133-136, 2013.
[4] Macqueen, J. B, “Some Methods for Classification and Analysis of Multivariate Observations, Proceedings of 5-th BerkeleySymposium on Mathematical Statistics and Probability,” Berkeley: University of Califonia Press, 1967.
[5] Kusrini, “Konsep dan Aplikasi Sistem Pendukung Keputusan,” Yogyakarta: Andi, 2007.
[6] Prasojo, Lantip D dan Prasetyo, Eko B, “Sistem Informasi Manajemen Dalam Pembelajaran,” Makalah Ilmiah Pembelajaran Vol.1, No. 2, ISSN 0216-7999, 2005.
[7] Machmud, Rizan, “Hubungan Sistem informasi Manajemen dan Pelayanan dengan kinerja Pegawai Pada Rutan Denpasar,” Jurnal Capacity STIE AMKOP Makassar ISSN : 1907-3313, 2013.
[8] Yunita, Renia; Widana, Arya dan Irfani, M. Haviz, “Sistem Informasi Akademik Pada SMA Yanitas Palembang,” STIMIK GI MDP, 2004.
[9] Kridalukmana, Rinta, “Dasar Komputer dan Pemrograman .Universitas Diponegoro.Fakultas Teknik Universitas Diponegoro, 2009.
[10] Syafrianto, Andri, “Perancangan Aplikasi K-Means Untuk Pengelompokan Mahasiswa STMIK ELRAHMA Yogyakarta Berdasarkan Frekuensi Kunjungan Ke Perpustakaan Dan IPK, Yogyakarta: STIMIK ELRAHMA, 2009.
[11] Ong, Johan Oscar, “Implementasi Algoritma K-Means Clusttering Untuk Menentukan Strategi Marketing President University,” Jurnal Ilmiah Teknik Industri Vol. 12, ISSN 1412-6869, 2013.
[12] I. P. A. H. Krisnawan, T. Sutanto, and E. Sutomo, “Menggunakan Metode K-Means untuk Promosi Paket Wisata,” STIKOM Surabaya, 2013.
[13] Asroni and R. Adrian, “Penerapan Metode K-Means Untuk Clustering Mahasiswa Berdasarkan Nilai Akademik Dengan Weka Interface Studi Kasus Pada Jurusan Teknik Informatika UMM Magelang,” Ilm. Semesta Tek., vol. 18, no. 1, pp. 76–82, 2015.
[14] A. Bastian, H. Sujadi, and G. Febrianto, “Penerapan Algoritma K-Means Clustering Analysis Pada Penyakit Menular Manusia (Studi Kasus Kabupaten Majalengka),” J. Sist. Inf. (Journal Inf. Syst., vol. 14, no. 1, pp. 26–32, 2018
[15] F. L. Sibuea and A. Sapta, “Pemetaan Siswa Berprestasi Menggunakan Metode K-Means Clustering,” J. Teknol. dan Sist. Inf., vol. IV, no. 1, pp. 85–92, 2017.
[16] Raharjo, Beni, “Nature, Environment, Remote Sensing, GIS, IT and Myself,” 2013.