Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)

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KADARING SIBI (Indonesian Sign System Online Dictionary): Web-based Indonesian Sign System Learning App

Authors
Rizaldi Septian Fauzi1, *, Budi Irmawati1, Nadiyasari Agitha1
1Mataram University, Mataram, Indonesia
*Corresponding author. Email: rizaldisfauzi@gmail.com
Corresponding Author
Rizaldi Septian Fauzi
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-084-8_35How to use a DOI?
Keywords
Deaf; Indonesian Sign System; Online Dictionary; Stemming Algorithm
Abstract

Deaf people (Teman Tuli) in Indonesia currently use the Indonesian Sign Languages (Bisindo). Nevertheless, it has numerous versions geographically. To smooth communication between them, the Indonesian government has standardized the Indonesian Sign System (SIBI) for the learning process at special schools (SLB/B) as a printed dictionary. The dictionary contains pictures to represent every sign. As it is in printed 2D format, Teman Tuli and normal people (Teman Dengar) cannot understand the exact hand movements. Teman Dengar also do not get enough access to the SIBI learning information. Moreover, it is difficult to understand the rules to build sentences in Bahasa In-donesia. Technology is growing, and the number of electronic dictionary users is increasing. We developed a web-based application Indonesian Sign System Online Dictionary (KADARING SIBI). The dictionary implements a stemming algorithm to find each root word of the text. Then, each Sign is rendered with a GIF animation. Users easier load and understand a picture or an animation re-vealing a word. Fifty respondents with different backgrounds participated in several methods tested on the application. The Black Box Testing method pro-duces an average success value of 95%. The acceptance testing with the Mean Opinion Score method has a MOS value of 8.72, which is a good category.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
Series
Advances in Computer Science Research
Publication Date
26 December 2022
ISBN
10.2991/978-94-6463-084-8_35
ISSN
2352-538X
DOI
10.2991/978-94-6463-084-8_35How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rizaldi Septian Fauzi
AU  - Budi Irmawati
AU  - Nadiyasari Agitha
PY  - 2022
DA  - 2022/12/26
TI  - KADARING SIBI (Indonesian Sign System Online Dictionary): Web-based Indonesian Sign System Learning App
BT  - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
PB  - Atlantis Press
SP  - 427
EP  - 436
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-084-8_35
DO  - 10.2991/978-94-6463-084-8_35
ID  - Fauzi2022
ER  -