Penerjemah Sistem Isyarat Bahasa Indonesia (SIBI) Berbasis Hand Pose Menggunakan Algoritma LSTM

Akbar, Raka (2024) Penerjemah Sistem Isyarat Bahasa Indonesia (SIBI) Berbasis Hand Pose Menggunakan Algoritma LSTM. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian pengembangan Penerjemah Sistem Isyarat Bahasa Indonesia (SIBI) berbasis Hand Pose banyak dilakukan dengan menggabungkan teknologi kecerdasan buatan dan teknik augmentasi. Dalam penelitian ini, penulis menggabungkan teknologi pengenalan gestur tangan dan kecerdasan buatan untuk menghasilkan sebuah alat yang dapat menerjemahkan isyarat ta- ngan menjadi teks bahasa Indonesia secara real time. Metode LSTM digunakan untuk memodelkan urutan gestur tangan, sehingga sistem dapat mengenali dan menerjemahkan isyarat dengan lebih akurat dan efisien. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam meningkatkan aksesibilitas komunikasi bagi individu dengan berbagai tantangan komunikasi di Indonesia.
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Research into the development of an Indonesian Sign Language Translator (SIBI) based on Hand Pose has been carried out by combining artificial intelligence technology and augmentation techniques. In this research, the author combines hand gesture recognition technology and artificial intelligence to produce a tool that can translate hand gestures into Indonesian text in real-time. The LSTM method is used to model hand gesture sequences, so that the system can recognize and translate gestures more accurately and efficiently. It is hoped that the results of this research can make a significant contribution in increasing communication accessibility for individuals with various communication challenges in Indonesia.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Sistem Isyarat Bahasa Indonesia, Long Short-Term Memory, Gesture Recognition, Hand Pose; Indonesian Sign System , Long Short-Term Memory, Gesture Recognition.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Raka Zein Akbar
Date Deposited:	15 Feb 2024 02:58
Last Modified:	15 Feb 2024 02:58
URI:	http://repository.its.ac.id/id/eprint/107058

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