cover
Contact Name
Efri Syamsul Bahri
Contact Email
jics_journal@itqanpreneurs.com
Phone
+628111193167
Journal Mail Official
efri.sb@sebi.ac.id
Editorial Address
Vila Mahkota Pesona ii-1 No.67 Bojongkulur Kecamatan Gunung Puteri Kabupaten Bogor Jawa Barat 16969.
Location
Kab. bogor,
Jawa barat
INDONESIA
Journal of Innovation and Computer Science
ISSN : -     EISSN : 30891388     DOI : 10.57053/jics
Core Subject : Science,
Journal of Innovation and Computer Science (JICS) is academic, online, open access, and peer-reviewed. It aims to publish original, theoretical, and practical in Computer Science. JICS aims to provide cutting-edge research and practice in computer science. It provides an international publication platform to boost the scientific and academic publication of research in the field. Submissions concerning any theoretical or practical implementation of algorithm design, methods, and development are invited. The subject of articles contributed may cover, but is not limited to: Computer Organization & Architecture Computer Networks & Wireless Communication Embedded System Mobile Computing Internet of Things (IoT) Technology Cloud Computing Smart System Information Technology (IT) Automation Network Security Cryptography Computer Security Parallel and Distributed System Robotic Intelligence Machine Learning
Articles 1 Documents
Search results for , issue "Vol. 2 No. 2 (2026): Journal of Innovation and Computer Science" : 1 Documents clear
Text-to-Sign Language Gesture Translator Using a Rule-Based Approach for Inclusive Learning Kusuma, Muhammad Romadhona; Hakim, Wildan; Daryanto, Dwi; Fathur Rahman, Muhammad Reno; Widianto, Tri
Journal of Innovation and Computer Science Vol. 2 No. 2 (2026): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v2i2.165

Abstract

Digital technology has created more ways to make communication accessible for people with hearing impairments. Still, there are a few sign language learning tools that combine several sign language systems in one platform. This study developed a rule-based Text-to-Sign Language Translator to support independent and flexible sign language learning. The application translates text in Latin and Hijaiyah transliteration into visual sign language, including BISINDO, SIBI, and Al-Quran Sign Language. The system uses a rule-based approach, including text normalization, tokenization, direct dataset matching, and visual rendering via images and video animations. It is a web-based application built with PHP, CodeIgniter, and MySQL. The system was tested with letter, word, and sentence inputs. There are 20 participants in the user testing. The results showed 94% accuracy for letter translation, 86% for word translation, and 80% for sentence translation. Then, it is with an average accuracy of about 87%. Users gave positive feedback on ease of use (90%), interface clarity (88%), and gesture comprehension (85%). The implications of this research suggest that the system is practical and affordable. Then, it is an accessible tool for sign language education, especially for those who need structured gesture mapping without machine learning.

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