Skripsi
PERANCANGAN APLIKASI ANDROID MENGGUNAKAN REACT NATIVE DENGAN VOICE RECOGNITION SEBAGAI KONTROL MOBILE ROBOT FORKLIFT MINI
This research aims to develop an Android application built with React Native that is capable of recording and transmitting WAV-formatted audio to a single-board computer–based server using a client–server architecture. The server processes the audio using an LSTM model to generate robot movement commands, which are then returned to the application and forwarded to the mini forklift robot. The system also provides feedback in the form of classified text output and camera streaming to support real-time monitoring.Testing was conducted on 150 voice-command samples to evaluate the effectiveness of the transmission and processing pipeline. The results indicate that simple commands are recognized more accurately than more complex ones, with an overall accuracy of 79.33% and an average latency of 7.14 seconds. These findings demonstrate that the mechanisms for recording, transmitting audio, processing commands on the server, and returning the results to the application function effectively and support real-time robot control.