Implementasi Algoritma Convolutional Neural Network Untuk Identifikasi Alfabe…

This research focuses to identify alphabets in the Sistem Isyarat Bahasa Indonesia (SIBI) using the Convolutional Neural Network (CNN) algorithm with a transfer learning approach. Three CNN architectures were used: MobileNetV1, MobileNetV2, and MobileNetV3-Small. The dataset consists of 1,560 static hand gesture images representing 26 alphabet letters, collected from public sources (Kaggle) and…