Implementasi Algoritma Convolutional Neural Network Dalam Mengklasifikasi Kesegaran Buah Berdasarkan Citra Buah

The development of Information Technology today, which continues to grow, can help overcome various problems because matters relating the advancement have spread almost all levels Indonesian society. Along with Technology, it is also marked by Artificial Intelligence simulate human intelligence and handle tasks in real world. By utilizing one them be used terms classification fruit freshness. Where this will very useful farmers consumers. This study describes use Convolutional Neural Network classify freshness following fruits: apples, oranges, bananas. And using six classes, namely fresh bananas, unfresh first thing do Neuronal training an image dataset as input data sources from Kaggle.com, published "Student at Stony Brook University, New York, United States". To determine performance models produced, Confusion Matrix used: accuracy, precision, recall. best average obtained 93%.