(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020

Klasifikasi Endek Berdasarkan GLCM Menggunakan Jaringan Syaraf Tiruan dengan Optimisasi Adam

Guna, Putu Wahyu Tirta (Unknown)
Putri, Luh Arida Ayu Ayu Rahning (Unknown)



Article Info

Publish Date
24 Nov 2020

Abstract

Not many people know that endek cloth itself has 4 known variances. .Nowadays. Computing and classification algorithm can be implemented to solve classification problem with respect to the features data as input. We can use this computing power to digitalize these endek pattern. The features extraction algorithm used in this research is GLCM. Where these data will act as input for the neural network model later. There is a lot of optimizer algorithm to use in back propagation phase. In this research we prefer to use adam which is one of the newest and most popular optimizer algorithm. To compare its performace we also use SGD which is older and popular optimizer algorithm. Later we find that adam algorithm generate 33% accuracy which is better than what SGD algorithm give, it is 23% accuracy. Longer epoch also give affect for overall model accuracy.

Copyrights © 2020






Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...