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All Journal EQUILIBIRIA Jurnal Infomedia JURNAL PENDIDIKAN TAMBUSAI JOISIE (Journal Of Information Systems And Informatics Engineering) BENING Hikmah ALACRITY : Journal Of Education INVENTION: Journal Research and Education Studies Pedagogy : Jurnal Pendidikan Matematika Jurnal Sistem Informasi dan Teknik Informasi Homeostasis: Jurnal Mahasiswa Pendidikan Dokter Journal of Applied Business and Technology Jurnal Pepadu Prosiding Seminar Nasional PPG Universitas Mulawarman Power Elektronik : Jurnal Orang Elektro Jurnal Testing dan Implementasi Sistem Informasi CSRID
Siddik, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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HAND POSE CLASSIFICATION USING MEDIAPIPE HANDS AND CNN-LSTM FOR AUGMENTED REALITY BASED INTRAVENOUS INFUSION LEARNING Desnelita, Yenny; Siddik, Muhammad; Lita, Lita; Hajjah, Alyauma; Gustientiedina, Gustientiedina
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 2 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i2.2343

Abstract

Intravenous infusion training requires precise hand positioning and coordinated movements; however, conventional training approaches remain subjective and lack consistent real-time feedback. Moreover, existing augmented reality (AR)-based systems are largely limited to visualization and do not provide intelligent, automated skill evaluation. To address this gap, this study proposes an integrated hand pose classification framework that combines MediaPipe-based landmark extraction, CNN-LSTM spatio-temporal modeling, and AR-based feedback for real-time procedural learning. The novelty of this work lies in the seamless integration of lightweight feature representation, hybrid deep learning, and interactive AR feedback within a unified learning system. Experimental results demonstrate that the proposed approach achieves high classification performance, with an accuracy of 94.82% and an AUC of approximately 0.97, indicating strong discriminative capability. The system also operates in real time with low latency, enabling immediate feedback and adaptive learning. This study contributes theoretically to spatio-temporal gesture modeling and practically to the development of intelligent AR-based training systems. The proposed framework offers a scalable and objective solution for improving procedural accuracy, consistency, and accessibility in medical education.
Co-Authors Abdullah, Iqbal Ade Sarmini Aini, Putri Nur Alyauma Hajjah Annisa Fitri, Annisa Arsyiana, Fathia Asnawati Asnawati Asy-Syifa, Nabila Azrai Sirait Beni Satria Deny Jollyta Desnelita, Yenny Dona Marisa, Dona Edi Susanto Fakhrurrazy Fakhrurrazy Fauzi, Muhammad Amin Ginting, Noventa Gusrianty, Gusrianty Gustientiedina Haikal, Muhammad Fachran Hamdani . Hasna, Usratul Hayati Hayati Hayati, Azka Husna Dharma Putera, Husna Dharma Jessfry, Vincent Johan Johan Lita, Lita Luthfiyyah, Rifaa Muzaki Fhardana, Rifqi Ni Made Wirastika Sari, Ni Made Wirastika Pambudi, Zanuba Tarieq Ridho Pardosi, Yesika TS Petrus Fendiyanto Pitaloka Oktaviani, Ananda Prihandoko Prihandoko Putri, Aulia Aurora Raflia Ramadan, Yoga Aditya Noor Raudhatul Jannah Rini Elfina Risani, Cindy Rizka. S, Nazwa Rizky Firmansyah Romi, Hutri Agus Sabila, Siti Zahra Samsir Samsir, Samsir Sandaga, Putri Noor Sanyoto, Didik Dwi Sari, Nanda Haliza Silitonga, Asni Siregar, Sutan Surya Darpan Sri Setiani, Siwi Sudjatmiko, Dwi Praptomo Suhariah, Suhariah Suharsih, Suharsih Sulistiyani, Fani Suwanto Suwanto tanjung, rona Tiur Malasari Siregar, Tiur Malasari Trisnawati Hutagalung Wahyuni, Shinta Tri Yanuartati, Baiq Yulfia Elsadewi Yuliatin Zairin Noor Zega, Nurhamidah