Penerapan Fuzzy C-Means Untuk Penentuan Besar Uang Kuliah Tunggal Mahasiswa Baru

Main Article Content

Ariyady Kurniawan Muchsin Made Sudarma

Abstract

In accordance with the mandate of the 1945 Constitution article 31 concerning the education authorities have issued various policies to realize the cost of education is getting cheaper and affordable to all people, one of which is the system UKT (Tuition Single) which is partially Tuition Single (BKT) which were passed to each student based on their economic capabilities. UKT grouping mechanism is still done manually by Udayana University which resulted in the value of equity for prospective new students to their economic capacity is still lacking. Therefore, it needs a mechanism for charging and determination UKT which can be done online, so as to improve efficiency and effectiveness. The next solution that can be done is by using classification techniques using Fuzzy C-Means (FCM) and Beni Xie Index to determine the optimum clusters in the process of determining the type UKT so as to meet the values ??of justice for prospective new students.

Downloads

Download data is not yet available.

Article Details

How to Cite
MUCHSIN, Ariyady Kurniawan; SUDARMA, Made. Penerapan Fuzzy C-Means Untuk Penentuan Besar Uang Kuliah Tunggal Mahasiswa Baru. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], p. 175-184, dec. 2015. ISSN 2541-5832. Available at: <https://ojs.unud.ac.id/index.php/lontar/article/view/32368>. Date accessed: 12 july 2020. doi: https://doi.org/10.24843/LKJITI.2015.v06.i03.p04.
Section
Articles

References

[1] Republik Indonesia, Undang-Undang No.12. 2012.
[2] E. T. Luthfi, “Fuzzy C-Means untuk Clustering Data (Studi Kasus : Data Performance Mengajar Dosen ),” in Prosiding Seminar Nasional Teknologi, pp. 1–7.
[3] Harliana and Azhari, “Penerapan FCM dan TSK Untuk Penentuan Cluster Rawan Pangan di Kabupaten Cirebon,” IJCCS, vol. 6, no. 2, pp. 1–10, 2012.
[4] R. Syaiful and R. . F. Hakim, “Metode K-Means Cluster Dan Fuzzy C-Means Cluster (Studi Kasus: Indeks Pembangunan Manusia di Kawasan Indonesia Timur tahun 2012),” in Prosiding Seminar Nasional Matematika dan Pendidikan Matematika UMS, 2015.
[5] M. T. Jatipaningrum, “Segmentasi Pelanggan PLN Menggunakan Fuzzy Klustering Short Time Series,” in Prosiding Seminar Nasional Aplikasi Sains & Teknologi (SNAST), 2014.
[6] T. Sandhika Jaya, K. Adib, and B. Noranitab, “Sistem Pemilihan Perumahan dengan Metode Kombinasi Fuzzy C-Means Clustering dan Simple Additive Weighting,” Jurnal Sistem Informasi Bisnis, 2011.
[7] A. Naba, “Penerapan Metode Hybrid Fuzzy C-Means dan Particle Swarm Optimization (FCM - PSO) untuk Segmentasi Citra Geografis,” J. EECCIS, vol. 8, no. 1, Jun. 2014.
[8] R. Aidina, “Pemanfaatan Algoritma FCM Dalam Pengelompokan Kinerja Akademik Mahasiswa,” in Konferensi Nasional Sistem & Informatika 2015, 2015, pp. 431–436.
[9] M. P. dan K. Republik Indonesia, “Peraturan Menteri Pendidikan dan Kebudayaan (Permendikbud) No. 55.” Republik Indonesia, 2013.
[10] H. Rohayani, “Analisis Sistem Pendukung Keputusan Dalam Memilih Program Studi Menggunakan Metode Logika Fuzzy,” Jurnal Sistem Informasi, vol. 5, no. 1, pp. 530–539, 20113.
[11] E. Turban, J. E. Aronson, and T.-P. Liang, Decision Support and Intelegent System, 7th ed. Prentice-Hall, 2007.
[12] S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu, 2010.

Most read articles by the same author(s)

1 2 3 4 > >>