IRDH International Journal of Technology, Agriculture and Natural Sciences (IRDH IJTANS)
Vol. 3 No. 2 (2026): July

Classification of Coral Reef Types Using GLCM Feature Extraction and Neural Network Algorithms

Abdul Latif Zainullah (University of Karyadarma Kupang, East Nusa Tenggara, Indonesia)



Article Info

Publish Date
31 Jul 2026

Abstract

Coral reefs are one of the biota in the sea. Coral reefs are actually shaped like flowers in the sea but have a hard texture like rocks. Coral reefs need a process of decades to form, this causes coral reefs to become rare, especially with the damage to the marine ecosystem. Coral reefs have many types and not many people know the types of coral reefs. So that many ordinary people think that all coral reefs are the same and no one knows that coral reefs have their own names. The purpose of this study is to classify the types of coral reefs so that it is easier to know the types of coral reefs. To implement the classification of coral reef types, this research uses the extraction of GLCM features and the artificial neural network (JST) method, namely the Neural Network (NN). In this study, coral reef images are used as training data and test data. With this research, it is hoped that it will make it easier to know the types of coral reefs and it is expected to have a fairly high level of accuracy

Copyrights © 2026






Journal Info

Abbrev

ijtans

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

IRDH International Journal of Technology, Agriculture & Natural Sciences (IRDH-IJTANS) is a periodical scientific journal (three times a year) March, July, November). The main purpose of this journal is to disseminate scientific articles in the field of Technology, Agriculture & Natural Sciences, ...