Technomedia Journal (TMJ)
Vol 7 No 1 Juni (2022): TMJ (Technomedia Journal)

Aplikasi Pembelajaran Sistem Isyarat Bahasa Indonesia (SIBI) Berbasis Voice Menggunakan OpenSIBI

Risa Fatmawati (Politeknik Elektronika Negeri Surabaya)
Rengga Asmara (Politeknik Elektronika Negeri Surabaya)
Yanuar Risah Prayogi (Politeknik Elektronika Negeri Surabaya)
Rizky Yuniar Hakkun (Politeknik Elektronika Negeri Surabaya)



Article Info

Publish Date
16 Feb 2022

Abstract

Sign language is one of the means of communication for people who are deaf and speech impaired, especially between normal people and people with disabilities in the wider community. But in reality, not everyone can understand the meaning and purpose of the sign language used so that there is a lack of knowledge of normal people about sign language in Indonesia and there is still a lack of effective and easy-to-understand digital learning media. In this study, we propose a new approach to create a sign language learning application for normal people using voice as input which can later display the results of visualization of sign language movements in the form of 3D animation. The display of 3D animation movements uses data that refers to the SIBI (Indonesian Language Sign System) curriculum. This Sign Language application was built by utilizing the Google Speech to Text API to process voice input, Java as the programming language used, and MySQL to manage the database. Based on system testing and on users (general public and persons with disabilities) using the SUS (System Usability Scale) method, it can be concluded that the sign language learning application with Android-based voice input is successful in facilitating the sign language learning process and in terms of usability or usability of the application getting an assessment that the application can be accepted by users and is suitable for use as a learning support media because its features can be understood well.

Copyrights © 2022






Journal Info

Abbrev

TMJ

Publisher

Subject

Computer Science & IT Languange, Linguistic, Communication & Media

Description

TMJ (Technomedia Journal) telah menerima 18 (delapan belas) indeksasi. DOI telah diindeks melalui Crossref: 10.33050 / tmj. Peer Review yang dimiliki oleh TMJ (Technomedia Journal) juga merupakan yang terbaik. Serta kemudahan akses internet dan ketersediaan perangkat teknologi informasi, sekarang ...