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All Journal Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Aidil Putra Yulianto, Fadilah
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Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

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Literature Review : Implementasi Machine Learning Dalam Pengenalan Bahasa Isyarat Indonesia (BISINDO) Adi Primadiansyah, Dimas; Aidil Putra Yulianto, Fadilah; Saputra, Heru
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 5 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

Recognition of Indonesian Sign Language (BISINDO) is one of the main challenges in supporting communication for deaf and mute people. This study aims to examine the application of machine learning algorithms in BISINDO recognition through a systematic review of several scientific journals. The analysis was conducted to identify trends, research gaps, and the potential contribution of this technology in supporting inclusive communication. The results show that algorithms such as CNN, YOLOv8, and Mediapipe provide high accuracy in hand gesture detection and classification. Further research is needed to refine this technology, especially in terms of representative datasets and real-time implementation.
Co-Authors Adi Primadiansyah, Dimas Heru Saputra