JURNAL TEKNOLOGI DAN OPEN SOURCE
Vol 4 No 1 (2021): Jurnal Teknologi dan Open Source, June 2021

HIGH AVAILABILITY IN SERVER CLUSTERS BY USING BACKPROPAGATION NEURAL NETWORK METHOD

Ahmad Heryanto (Universitas Sriwijaya)
Aditya Gunanta (Universitas Sriwijaya)



Article Info

Publish Date
22 Jun 2021

Abstract

Server is a host device applications to serve every request in finding information needs. The server must fully support the services used for the organization's digital needs 24 hours in a day, 7 days in a week, and 365 days in a year. The concept of High Availability is needed to maintain the quality of server services. The algorithm used to build HA can use both classical and modern algorithms. The algorithm used in this research is using backpropagation neural network. In this study, the parameter values to obtain optimal accuracy are learning rate 0.1, training data 80 and test data 20, the number of nodes in hidden layer 4, minimum error 0.0001, and the number of iterations 2500.The best accuracy value using these parameters is 93.79% .

Copyrights © 2021






Journal Info

Abbrev

JTOS

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi dan Open Source menerbitkan naskah ilmiah. yang berkaitan dengan sistem informasi, teknologi informasi dan aplikasi open source secara berkala (2 kali setahun). Jurnal ini dikelola dan diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik, Universitas Islam Kuantan ...