IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK MENGKLASIFIKASIKAN TINGKAT KEMATANGAN PADA BUAH MANGGA BERBASIS WEBSITE
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Institusion

Institut Teknologi Perusahaan Listrik Negara

Author

Sabbih, Syekh Alam
Agtriadi, Herman Bedi
Dody, S, Dody, S

Subject

Teknik Informatika 

Datestamp

2023-06-22 07:05:41 

Abstract :
This study was conducted to find out how to classify the image, the results of the maturity classification, and find out the level of accuracy obtained in the maturity classification in mango fruits. The methods used in this study are the Convolutional Neural Network method for classifying manga fruits, and the confusion matrix to measure the accuracy of the maturity classification in mango fruits whether the fruit is raw, ripe or rotten. The data used in this study amounted to 389 data. The results obtained from this study are the creation of a model for classifying mango fruit images using Convolutional Neural Network with convolution layer filters, activation of relu and softmax and fully connected layers. It got the accuracy rate by using a confusion matrix of 81%, precision of 82% and recall of 89%. 

File :
201831074_SyekhAlamSabbih_Skripsi.pdf