Abstract
Sign language is commonly used by hearing or speech impaired people to communicate with others. BISINDO is one of the sign languages that is commonly used in Indonesia. In this paper, this paper proposed a convolutional neural network model to detect hand sign language using Convolutional Neural Network to facilitate the communication between hearing or speech-impaired people and normal people. To facilitate people who have speech or hearing impaired, we can use the advance of technology. Technology lay on an algorithm or method. The objective of this research is to get the best model from the dataset that has been collected before. Convolutional Neural Network is one of the methods to detect sign language. These methods are data gathering, data processing, model training and testing using Convolutional Neural Network model. By using Convolutional Neural Network getting the optimum result by 96,85%.
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