Article Per Year (5 Year)
p-Index From 2019 - 2024
0.882
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Journal of Information Technology and society (JITS)
Eka Altiarika
Universitas Muhammadiyah Bangka Belitung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Information Technology and society (JITS)

 1 
Gerakan Tangan Pemain Otomatis Menggunakan Computer Vision Fikri Fahrudin; Mesi Andriani; Muallimin; Eka Altiarika
jits Vol 1 No 1 (2023): Journal of Information Technology and society (JITS)
Publisher : ILMU KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v1i1.19

Abstract

Gesture recognition allows users of computer science technology to connect with their digital devices more conveniently. Technology for gesture recognition can be helpful in a variety of contexts, such as automated household appliances, automobiles, and interpretation of hand gestures. Gesture recognition is part of gesture recognition which determines what message a certain hand movement wants to convey. In developing this automatic hand movement we use segmentation and object detection where this method involves using algorithms to detect and identify objects or areas related to hand movements. , such as human skin, fingers, and others. Detection of human hand movements using computer vision is a digital image processing technique that aims to recognize human hand movements from image or video data. This technique can be applied in various applications such as human-computer interaction, hand gesture recognition, or video games. Making Automatic Player Hand Movements Using Computer Vision has the potential to improve the user experience when playing games or using interactive applications that require hand movements, according to the research and development that has been done. Games could be controlled more precisely and with less need for additional hardware such as joysticks or controllers if computer vision technology was able to accurately distinguish hand movements.
Sistem Pengembangan Bahasa Isyarat Untuk Berkomunikasi dengan Penyandang Disabilitas (Tunarungu) Indah Sari; Fivrenodi; Eka Altiarika; Sarwindah
jits Vol 1 No 1 (2023): Journal of Information Technology and society (JITS)
Publisher : ILMU KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v1i1.21

Abstract

Sarana komunikasi utama bagi orang-orang penyandang disabilitas (tunarungu) adalah bahasa isyarat. Namun, tidak semua orang mengerti atau dapat menggunakan bahasa isyarat, dan tidak semua lingkungan menyediakan aksesibilitas bagi orang dengan disabilitas pendengaran. Sistem pengembangan bahasa isyarat untuk berkomunikasi dengan penyandang disabilitas dikembangkan karena pentingnya aksesibilitas komunikasi bagi orang dengan disabilitas pendengaran atau bahasa. Penelitian ini bertujuan untuk mengembangkan model sistem bahasa isyarat agar memudahkan berkomunikasi dengan penyadang disabilitas (tunarungu) dengan menggunakan metode machine learning. Dengan menggunakan teknologi pengenalan citra atau pengenalan pola, sistem dapat mengidentifikasi gerakan tangan dan menerjemahkannya menjadi teks atau suara yang dapat dimengerti oleh individu yang tidak dapat berkomunikasi menggunakan bahasa isyarat.
Co-Authors Fikri Fahrudin Fivrenodi Indah Sari Iswandi Iswandi Mesi Andriani Muallimin Sarwindah Winda Purnama Sari