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Utomo, Pradita Eko Prasetyo
Univeristas Jambi
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Application of You Only Look Once (YOLO) Method for Sign Language Identification Reni Triyaningsih; Pradita Eko Prasetyo Utomo; Benedika Ferdian Hutabarat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.21931

Abstract

Limited understanding of sign language has widened the social gap for deaf people, creating barriers in communication and social interaction. To address this challenge, technology-based solutions are required to facilitate inclusive communication. Deep learning-based detection methods, particularly the You Only Look Once (YOLO) algorithm, have gained attention for their speed and accuracy in real-time object detection. This research aims to develop and evaluate a YOLO training model for the identification of Indonesian sign language system (sistem isyarat bahasa Indonesia, SIBI). The dataset was obtained from resource person at the State Special School Prof. Dr. Sri Soedewi Masjchun Sofwan, SH. Jambi, and enriched with additional images collected from external subjects. Augmentation techniques with Roboflow were applied to expand the dataset, and several training schemes were implemented. Model performance was assessed using confusion matrix while considering accuracy and indications of overfitting. The results showed that the quality and quantity of training data, as well as the epoch values, strongly influenced the accuracy of the trained model. The best performance was achieved with 40 primary images per label class, augmented to 60 images, and trained over 24 epochs, resulting in a confusion matrix accuracy of 99.9%. The implemented model was able to recognize SIBI gestures in real-time using a webcam with fast processing. Overall, the proposed YOLO-based model successfully identifies sign language in real-time and demonstrates strong potential for reducing communication barriers among deaf people. However, further refinement and expansion of the dataset are recommended to improve effectiveness and enable broader real-world applications.
Co-Authors Abidin, Zainil Afifa, Afifa Lutfia Fakhira Akhiyar Waladi Amanda Iza Sofiani Anwar, Gema Fitria Arsa, Daniel Aryani, Reni Aryawan, Made Gitra Aulia Dwiza Puteri Ayu Indryani Azhari SN Azzahra, Naesya Benedika Ferdian Hutabarat Bisma Aulia Cepi Ramdan Cepi Ramdan Chika Efansa Chit, Suwannit Chareen Dawam Suprayogi Dedy Setiawan Desi Musfiroh Dewa, Raldi Fitra Dewi Lestari Dinda Fatimah Sarah Dwi Agus Kurniawan Dwi Kurniawan Edi Saputra Edi Saputra Efansa, Chika Elisa, Edi Fachrul Sukmadinata Fatoni, Yuda Fitri Dwi Lestari Fitri, Lucky Enggraini Ghaitsa Althafah Wandira Ghaitsa Althafah Wandira Hadaya, M. Syahan Afdhal Haloho, Ica Yunarti Haloho Hasanatul Iftitah Hasby Kuswanto Holis, Rahul Marcellino Hutabarat, Cagivamito Tadashi Iftita, Hasanatul Ilhami, Mohamad Imelda Raudati Imelda Raudati Indra Weni Jaya, Asirman Jefri Marzal Jefri Marzal Jodion Siburian Khaira, Ulfa Lucky Enggraini Fitri Lutvianita, Febby M. Rizky Ardiansyah Putra M. Taufik Hidayat Mahadewa, Agung Mahmudin, Riyan Malik, Raihan Mauladi Mauladi Mh. Khathamy Fhadlullah Haq Syahlevy Mochammad Farisi Muhammad Iqbal Muhammad Nabil Muhammad Razi A Muksin Alfalah Mutia Fadhila Putri mutia fadhila putri, mutia fadhila Nasution, Mukhtada Billah Nazwa Eka Hervy Novita Sari Novita Sari Nuraini, Rts Putra, Aldi Sukma Putra, Tri Syukria Putra, Yahya Nugraha Putri Hazmawati Putri, Anastasya Alya Ragil Johanda Rahayu Rahayu Rayandra Asyhar Reni Triyaningsih Repaldi Handi Saputra Reza Safitri Rhamadani, Hana Silvanov Rivaldi, Ikvi Akmal Rizka Octavia Sandra Rizky Janatul Magwa Rizqa Raaiqa Bintana Sahrial Salmah Nur Zahra Salman Jumaili Salsabila, Adinda Desiska SAUDAGAR, FERDIAZ Sigit Indrawijaya Simanjuntak, Januar SRI RAHAYU Suhartini, Sugih Sukma, Silvia Antana Sulfiyandi Sulfiyandi Suwannit Chareen Chit Sylvia Kartika Wulan Bhayangkari Tasia Maidi Saputri Tasia Maidi Saputri Tedjo Sukmono Teguh Sumarsono Tia Wulandari Tri Suratno Ulfa Khaira, Ulfa Wahyu, Ofel Idhan Yenny Yuniarti Yolanda, Ketri genes Yoppie Wulanda Yosika Dian Saputri Yovita, Kristian Yuhana Yuhana Yusnita, Erli