CLUSTERING DATA NILAI SISWA SMA UNTUK PENENTUAN JURUSAN MENGGUNAKAN ALGORITMA FUZZY C-MEANS
Keywords:
Algoritma Fuzzy C-Means, Penentuan Jurusan, Clustering Data
Abstract
Determination of the majors a process that occurs at the time the class- X will go up to class- IX, this is because the addition proses are carried out must be based in the interests and talent of each student’s.In addition, this process is done by Bp/Bk, witch this assessment process based on value evaluation of each subject’s flagship from each Department, to major in Science related subject (biology, physics, chemistry, mathematics), to social sciences Departement (economics, sociology, geography, history), and for the Departement of IPB (Indonesian Language, English, Germany Language).In this reaseach, FCM Clustering can assist and improve value for Determination of the majors' process 72%.
References
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Luthfi Emha (2007). Fuzzy C-Means untuk Clustering Data. Seminar Nasional Teknologi.Jogjakarta,D-1-D7.
Munandar Ai, Widyarto Wahyu, Harsiti (2013). Clustering Data Nilai Mahasiswa Untuk Pengelompokan kosentrasi Jurusan Menggunakan Fuzzy Cluster Means. Seminar Nasional Aplikasi Teknologi Informasi (SNATI).Jogjakarta, G-30 – G-33
Novamizanti Ledya dan Vimalakirti Retno(2010). Optimasi Logika Fuzzy Menggunakan Algoritma Genetika Pada Identifikasi Pola Tanda Tangan. Konferensi Nasional Sistem dan Informatika.Bali, 151-157.
Sayekti Ratna, Hidayat Nurul,Soebroto Arif (2013).Implemetasi Algoritma Fuzzy C-MEANS untuk Pembangkitan Aturan Fuzzy Pada Pengelompokan Tingkat Risiko Penyakit Kanker Payudara.Jakarta.
Simbolon Cary, Kusumastuti Nilamsari, Irawan Beni (2013). Clustering Lulusan Mahasiswa Matematika FMIPA UNTAN PONTIANAK Menggunakan Algoritma Fuzzy C-Means. Buletin Ilmiah Mat.Stat dan Terapannya (Bimaster). Volume 2, 21-26.
Varghese Bindiya, dkk. Clustering Student Data to Characterize Performance Patterns. International Journal of Advance Computer Science and Application.138-140.
Widyastuti Naniek, Amir Hamzah (2007). Penggunaan Algoritma Genetika alam Peningkatan Kinerja Fuzzy Clustering Untuk Pengenalan Pola. Berkala MIPA(2).Yogyakarta,1-14
Luthfi Emha (2007). Fuzzy C-Means untuk Clustering Data. Seminar Nasional Teknologi.Jogjakarta,D-1-D7.
Munandar Ai, Widyarto Wahyu, Harsiti (2013). Clustering Data Nilai Mahasiswa Untuk Pengelompokan kosentrasi Jurusan Menggunakan Fuzzy Cluster Means. Seminar Nasional Aplikasi Teknologi Informasi (SNATI).Jogjakarta, G-30 – G-33
Novamizanti Ledya dan Vimalakirti Retno(2010). Optimasi Logika Fuzzy Menggunakan Algoritma Genetika Pada Identifikasi Pola Tanda Tangan. Konferensi Nasional Sistem dan Informatika.Bali, 151-157.
Sayekti Ratna, Hidayat Nurul,Soebroto Arif (2013).Implemetasi Algoritma Fuzzy C-MEANS untuk Pembangkitan Aturan Fuzzy Pada Pengelompokan Tingkat Risiko Penyakit Kanker Payudara.Jakarta.
Simbolon Cary, Kusumastuti Nilamsari, Irawan Beni (2013). Clustering Lulusan Mahasiswa Matematika FMIPA UNTAN PONTIANAK Menggunakan Algoritma Fuzzy C-Means. Buletin Ilmiah Mat.Stat dan Terapannya (Bimaster). Volume 2, 21-26.
Varghese Bindiya, dkk. Clustering Student Data to Characterize Performance Patterns. International Journal of Advance Computer Science and Application.138-140.
Widyastuti Naniek, Amir Hamzah (2007). Penggunaan Algoritma Genetika alam Peningkatan Kinerja Fuzzy Clustering Untuk Pengenalan Pola. Berkala MIPA(2).Yogyakarta,1-14
Published
2015-03-15
How to Cite
Akbar, F. (2015). CLUSTERING DATA NILAI SISWA SMA UNTUK PENENTUAN JURUSAN MENGGUNAKAN ALGORITMA FUZZY C-MEANS. Jurnal Techno Nusa Mandiri, 12(1), 56-63. Retrieved from https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/497
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