A new technology on translating indonesian spoken language into indonesian sign language system (SIBI)

Risky Aswi Ramadhani, I Ketut Gede Dharma Putra, Made Sudarma, Ida Ayu Dwi Giriantari

Abstract


People with hearing disabilities are those who are unable to hear, resulted in their disab ility to communicate using spoken language. The solution offered in this research is by creating a one way translation technology to interpret spoken language to Indonesian Sign Language System (SIBI). The input in this application are sentences used by common society who are not familiar with SIBI. Those spoken language will be converted using this technology to allow people with hearing disability to communicate with the society around them. Spoken language is a language produced orally and is in the form of audio sound. Indonesian Sign Language System (SIBI) is Bahasa Indonesia which is delivered by using hand sign language with the same morphology to common Bahasa Indonesia. The mechanism applied here is by catching the sentences (audio) spoken by common society to be converted to texts, by using speech recognition. The texts are then processed in text processing to select the input texts. The next stage is stemming the texts into prefixes, basic words, and suffixes. Each words are then being indexed and matched to SIBI. Afterwards, the system will arrange the words into SIBI sentences based on the original sentences, so that the people with hearing disabilities can get the information contained within the spoken language. This technology success rate were tested using Confusion Matrix, which resulted in precision value of 76%, accuracy value of 78%, and recall value of 79&. This technology has been tested in SMP-LB Karya Mulya on the 7th grader students with the total of 9 students. From the test, it is obtained that 89% of students stated that this technology runs very well.

Keywords


hearing disabilities; SIBI; speech recognition; spoken language; translator;



DOI: http://doi.org/10.11591/ijece.v11i4.pp%25p
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ISSN 2088-8708, e-ISSN 2722-2578