Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Tika
Rifna, Iza
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Identifikasi Kematangan Buah Tomat Berdasarkan Warna Menggunakan Metode Jaringan Syaraf Tiruan (Jst) Backpropagation Johan, T. Muhammad; Rifna, Iza
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i3.1647

Abstract

The development of industrial agriculture and plantations in Indonesia is growing so rapidly. One of the stages in the processing of plantation products is the selection of products based on their quality (eg fruit ripeness level). The process of selecting agricultural and plantation products is generally very dependent on human perception of the color composition of the image. The manual method is carried out based on direct visual observation of the fruit to be classified. Identification with this method has several weaknesses, including the relatively long time required and the production due to human visual limitations, fatigue levels and differences in perceptions of fruit quality. The development of artificial neural network (ANN) research makes it possible to sort agricultural and plantation products automatically with the help of image processing applications. Identification of tomato fruit maturity applies the backpropagation learning method. Handphone is used for identifying media as taking pictures of tomatoes. The success rate of tomato’s ripeness obtained by using the backpropagation learning method with a success rate of 96%.
Co-Authors Johan, T. Muhammad