Identification of Color and Texture of Ripe Passion Fruit with Perceptron
Neural Network Method

Identification of Color and Texture of Ripe Passion Fruit with Perceptron
Neural Network Method

color identification, ripeness texture, passion fruit, perceptron

Research using artificial neural network methods has been developed as a tool that can help human tasks, one of
which is for passion fruit UMKM entrepreneurs. The problem so far that has been faced by UMKM entrepreneurs
of passion fruit is that it is difficult to identify ripe passion fruit with sweet and sour taste, because there are 6
colors of passion fruit and the color of passion fruit skin is visually slightly different, as well as the texture of
maturity. The main purpose of this study was to identify the color structure and texture of the ripeness of passion
fruit, in order to recognize the color and texture of the ripeness of passion fruit which is good for processing into
syrup, jam, jelly, juice, passion fruit juice powder by entrepreneurs of UMKM of passion fruit. This study
empirically tested the color and texture of the ripeness of 10 passion fruit using the perceptron artificial neural
network learning method. The data is obtained from an image that will be entered into the program. The results
of the identification process using the perceptron artificial neural network from the tests that have been carried
out previously, the highest calculation results obtained with the best results using a learning rate of 0.8 and 500
epoch iterations and producing an accuracy of 80%.

Siswanto1
, Riefky N. Sungkar2
, M. Anif3
, Basuki Hari Prasetyo4
, Subandi5
, Ari Saputro6
, Buana Suhurdin Putra7

Universitas Budi Luhur, Jakarta

06-02-2023

Fajar bagus W

PDF

Indonesia

Text