relation: https://eprints.untirta.ac.id/53390/ title: IMPLEMENTASI MODEL MACHINE LEARNING UNTUK APLIKASI PENERJEMAH BAHASA ISYARAT BERBASIS MOBILE MENGGUNAKAN METODE WATERFALL creator: IBRAHIM, HAFIZ subject: QA75 Electronic computers. Computer science subject: T Technology (General) description: This study aims to develop a mobile application capable of translating Indonesian Sign System (SIBI) into Indonesian text and vice versa. The application was built using Flutter for the mobile interface, and FastAPI and WebSocket as the backend to support real-time translation services. The Machine Learning models used include a Convolutional Neural Network (CNN) for gesture recognition and a Sequence-to-Sequence (Seq2Seq) model for converting text into sign language gesture videos. The system was evaluated through Black Box Testing and model performance analysis using a Confusion Matrix. The results show that the CNN model achieved an overall accuracy of 83.33% in recognizing sign gestures, with an average response time of 1.8 seconds. Additionally, the text-to-sign feature demonstrated a 100% success rate for basic vocabulary translation. This study demonstrates the potential of integrating AI into mobile systems to provide inclusive and real-time communication tools for the deaf community and opens opportunities for further development in accessible technology. date: 2025-08-01 type: Thesis type: NonPeerReviewed format: text language: id identifier: https://eprints.untirta.ac.id/53390/1/Hafiz%20Ibrahim_3337210012_Fulltext.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/2/Hafiz%20Ibrahim_3337210012_01.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/3/Hafiz%20Ibrahim_3337210012_02.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/4/Hafiz%20Ibrahim_3337210012_03.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/5/Hafiz%20Ibrahim_3337210012_04.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/6/Hafiz%20Ibrahim_3337210012_05.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/7/Hafiz%20Ibrahim_3337210012_Ref.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/8/Hafiz%20Ibrahim_3337210012_Lamp.pdf format: text language: id identifier: https://eprints.untirta.ac.id/53390/9/Hafiz%20Ibrahim_3337210012_CP.pdf identifier: IBRAHIM, HAFIZ (2025) IMPLEMENTASI MODEL MACHINE LEARNING UNTUK APLIKASI PENERJEMAH BAHASA ISYARAT BERBASIS MOBILE MENGGUNAKAN METODE WATERFALL. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.