IMPLEMENTASI JARINGAN SYARAF TIRUAN DALAM SISTEM PENDUKUNG KEPUTUSAN (SPK) UNTUK MEMILIH PERGURUAN TINGGI

  • Liza Yulianti Universitas Dehasen Bengkulu
DOI: https://doi.org/10.37676/jmi.v9i2.62
Keywords: Implementasi,Sistem Pendukung Keputusan,Jaringan Saraf tiruan, Backpropagation

Abstract

This research is focusing on back-propagation algorithm with neural network that have to be implemented with MATLAB software. The data is observe directly and studying about university election by the graduate high school student. This research wants to find the direct problem, so it can be implemented with neural network by using back-propagation algorithm. This research using three (3) model of neural network back-propagation algorithm. From the data have been analyze with MATLAB software, the training convergence process stop at 5th iteration, last MSE = 1,01777. Meanwhile the testing convergence process stop at 5th iteration, with last MSE = 0,288833.

Downloads

Download data is not yet available.
Published
2015-02-12
How to Cite
Yulianti, L. (2015). IMPLEMENTASI JARINGAN SYARAF TIRUAN DALAM SISTEM PENDUKUNG KEPUTUSAN (SPK) UNTUK MEMILIH PERGURUAN TINGGI. JURNAL MEDIA INFOTAMA, 9(2). https://doi.org/10.37676/jmi.v9i2.62
Issue
Vol 9 No 2 (2013)
Section
Penelitian

An author who publishes in Jurnal Media Infotama agrees to the following terms:The author holds the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-Share Alike 4.0 License which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.Submission of a manuscript implies that the submitted work has not been previously published (except as part of a thesis or report, or abstract); that it is not being considered for publication elsewhere; that its publication has been approved by all co-authors. If and when a manuscript is accepted for publication, the author retains the copyright and retains the publishing rights without limitation.

For new inventions, authors are advised to administer the patent before publication. The license type is CC-BY-SA 4.0. 

MEDIA INFORMATION REVIEW: Journal of the Faculty of Computer Science is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.You are free to:Share

— copy and redistribute material in any medium or formatAdapt

— remix, modify and develop materialfor any purpose, even commercial.

The licensor cannot revoke this freedom as long as you follow the license terms