PENGEMBANGAN ALAT PENDETEKSI WARNA KAIN FABRIC BERBASIS JST (JARINGAN SYARAF TIRUAN) PADA DIVISI QUALITY INCOMING DI PT. GLOBALINDO INTIMATES

This study develops a color reader for the incoming quality division of PT. Globalindo Intimates, ensuring the accuracy and consistency of fabric color. Using Artificial Neural Networks and Convolutional Neural Networks, this tool is designed to overcome the limitations of conventional methods, improve the efficiency and effectiveness of quality control, and meet company standards with high precision. Using the Backpropagation method, with the applied network architecture is a multilayer network that uses input with 3 neurons, 2 hidden layers with 5 output layers. Producing a prototype of a color reader. Keywords : fabric quality incoming, artificial neural network, color detection