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All Journal Jurnal Jurusan Pendidikan Teknik Elektro Jurnal Pendidikan Teknologi dan Kejuruan STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer
I Putu Suka Arsa
Universitas Pendidikan Ganesha
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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DEVELOPMENT OF AN IOT-ENABLED MYOELECTRIC SIGNAL MONITORING SYSTEM AS AN INTERACTIVE INSTRUCTIONAL TOOL FOR ELECTRICAL ENGINEERING EDUCATION I Gede Made Surya Bumi Pracasitaram; I Gede Parta Sindu; I Putu Suka Arsa
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 5 No. 2 (2026): Mei
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v5i2.8100

Abstract

This study discusses the development of an Internet of Things (IoT)-based myoelectric signal monitoring system using Electromyography (EMG) as an interactive learning medium in biomedical instrumentation education. The proposed system utilizes an EMG sensor to capture muscle activity signals, while an ESP8266 microcontroller transmits the acquired data in real time to the Blynk platform for visualization and monitoring purposes. Experimental results demonstrate that the system operates properly and exhibits a strong linear response between load variation and EMG signal voltage. Validation conducted by media experts and testing involving university students indicate that the developed learning media is highly feasible for educational use, achieving an average feasibility score above 90% and a usability score of 71.5 out of 75. Despite these positive results, several improvements are recommended for future development. These include enhancing electrode quality and adding shielding to the sensor cables to minimize electromagnetic interference. Furthermore, future studies may integrate data logging features for long-term analysis and implement machine learning algorithms for automatic muscle activity pattern classification. The integration of these features is expected to improve the functionality and applicability of the proposed system in engineering and biomedical education.
Co-Authors Agus Adiarta,ST,MT . Aksa, Muhammad Zudin Angga Prasetya Ari Nurjaya Dede Nata Parwanta Dewi Dewi, Ni Putu Ari Listya Dyah, Putri Nugrahaning gede hendi parwadipa Gede Mertayasa gede wijayoga nata renjaya Gilben, Gilben Krisyo Gusti Ayu Cantika Putri Hafiz Zulfi I Gede Ardi Darmawan I Gede Nurhayata I Gede Parta Sindu I Gede Ratnaya I Gusti Ngurah Agung Widyana I Kadek Aditya Sutrisna I Kadek Putra Sanjaya I Nyoman Santiyadnya I Putu Kresna Budi I Putu Oka Kusuma Yasa kadek dwi saputra Kadek Roni Saputra kefvi Ketut Udy Ariawan Ketut Udy Ariawan Komang Agus Widiana Komang Perdy Trisna Lisa Made Adi Krisman Made Baskara Adi Paramarta Made Dhira Danu Wiguna Muhammad Zudin Aksa mutammam, muhammad Ni Putu Ari Listya Dewi Nyoman Santiyadnya Paramarta, Made Baskara Adi Prasetya., Wayan Mahardika Putri Nugrahaning Dyah Putu Eva Aristana Aristana Saputra, Kadek Roni Suryadi, Putu Dita Suryadi Sutrisna, I Kadek Aditya Wayan Mahardika Prasetya Wiratama Wibawa, I Made Mertadana Widiana, Komang Agus Wiguna, Made Dhira Danu