Metrics

  • visibility 139 views
  • get_app 269 downloads
description Journal article public Penelitian Ilmu Komputer Sistem Embedded dan Logic

Identifikasi Buah Mangga Gedong Gincu Cirebon Berdasarkan Citra Red-green-blue Menggunakan Adaptif Neuro Fuzzy Inference System

Nur Saqinah Hodijah, Retno Nugroho Whidhiasih, Dadan Irwan
Published Березень 2017

Abstract

  Mangifera indica (Mangga Gedong Gincu Cirebon) has good prospects for development because it has characteristics in accordance with market demand, which has the mango skin is red, fiber component in the flesh is quite a lot and have a very pungent aroma. This research aims to create a system of identification of  Mangifera indica Cirebon based RGB image using adaptive neuro fuzzy inference system (ANFIS). Data used were 90 images of  Mangifera indica will be divided into training data amounted to 75 data consisting of 25 acid class data, class data 25 and 25 class data being sweet. Data testing amounted to 15 data consisted of 5 acid class data, class data 5 medium and 5 class data sweet. In ANFIS training algorithm using hybrid methods Recursive Least Square Estimator (RLSE), and the number of epoch 1000, the error value 0.5220 and is able to identify the class of fruit Mangifera indica with an accuracy rate of 66.6%.   Keyword : identification of  Mangifera indica, rgb, adaptive neuro fuzzy inference system    

Full text

 

Metrics

  • visibility 139 views
  • get_app 269 downloads