Android-Based Detection Application ofIndonesian Sign Language System (SIBI) Using Rapid Application Development Method

Android-Based Detection Application ofIndonesian Sign Language System (SIBI) Using Rapid Application Development Method

ndonesian Sign Language System Application (SIBI), Real-Time Object Detection, Tensorflow Lite, Sign Language Translator, RAD

Deaf individuals face communication challenges with the general public due to their limited hearing, which necessitates the use of sign language. The gap in sign language understanding between deaf individuals and the general public often hinders their social interactions. Thisresearch develops the SIBI sign object detection model into an Android-based application that can detect and translate the Indonesian Sign Language System (SIBI) features into spoken language. The development of this application employs the Rapid Application Development (RAD) method, which includes the stages of requirements planning, user design, construction, and completion. The application was built using the Kotlin programming language and a TensorFlow Lite-based gesture detection model with three mainfeatures: real-time SIBI gesture detection, SIBI information, and Indonesian to SIBI translation. Testing involved 30 respondents with normal hearing and utilized the Blackbox Testing method. Usability testing results reached 85.6%, indicating the feasibility and effectiveness of the application. Blackbox Testing achieved a score of 100%, confirming the system's very high functionality. The Indonesian Sign Language (SIBI) Detection Application was successfully developed using the RAD method. This application has proven to be effective as a communication tool that bridges deaf individuals with the wider community in Indonesi

Sadr Lufti Mufreni1, Tikaridha Hardiani2, Muhammad Ircham Maulana

https://ijicom.respati.ac.id/index.php/ijicom/article/view/92/64

December 2024

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