Article Per Year (5 Year)
p-Index From 2021 - 2026
1.259
P-Index
This Author published in this journals
All Journal Jurnal Edukasi Elektro Jurnal Simetris Semesta Teknika Journal of Electrical Technology UMY JSES : Journal of Sport and Exercise Science Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Mustar, Muhamad Yusvin
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Medicine & Pharmacology Public Health Social Sciences

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
EFFECT OF LOW-COST EMG FOR LEARNING MUSCLE CONTRACTIONS IN SPORT COLLEGE STUDENTS Pramono, Bayu Agung; Siantoro, Gigih; Marsudi, Imam; Muhammad, Heryanto Nur; Noordia, Anna; Mustar, Muhamad Yusvin
Journal of Sport and Exercise Science Vol. 6 No. 1 (2023): March
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jses.v6n1.p32-38

Abstract

Surface electromyography (SEMG) is an application that helps coaches and athletes recognize and understand muscle contractions during practice and matches. Unfortunately, this tool is very expensive, so it is necessary to develop SEMG, which is cheap but has the potential to detect muscle contractions during movement. This research aims to develop an inexpensive SEMG for detecting muscle contractions. 10 sports students participated in this study, and they were active in carrying out measured and programmed physical activities four times a week. This research is an experimental study; all students will do barbell squats at 80% of the maximum load. Differences in muscle contractions on the SEMG sensor during concentric and eccentric contractions will be analyzed using the paired sample t-test. The results of this study found a difference in the amplitude of the two muscle contractions with p <0.05; besides that, for the first test, this tool was successful in describing a picture of the amplitude that continues to decrease in muscle contractions in fatigued conditions, although there needs to be an additional indicator in assessing the condition tired for SEMG. This study concludes that the SEMG sensor can detect muscle contractions due to a sports movement. Initial experiments in this study successfully detected muscle contraction signals due to different movements used low cost SEMG; then, it needs to be developed better to reduce noise due to electronic devices' influence around SEMG.
Optimizing Light Detection with Photodiode Sensor Arrays using Linear Regression Siregar, Rahmat Fauzi; Mustar, Muhamad Yusvin; Affandi, Affandi; Nasution, Arya Rudi; Br. Sembiring, Adelia Febrina
Jurnal Rekayasa Elektrika Vol 21, No 3 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i3.42384

Abstract

Photodiode sensors are widely used in various applications such as light intensity measurement, optoelectronic devices, and automation. In improving the quality of measurement and automation systems, more sophisticated technology is needed such as photodiode sensor arrays, which allow more accurate data collection from multiple sensors simultaneously. This research aims to design a photodiode sensor array with high sensitivity. The system design consists of six photodiode sensors combined with a summing amplifier circuit and a non-inverting amplifier as a signal conditioner which is then processed by a microcontroller. After that, the linear regression function is determined through the calibration process and experiments carried out. Two linear regression functions are obtained and implemented in two operating modes: normal mode and sensitive mode. Experimental results yield two linear regression functions applied to a photodiode sensor array in normal and sensitive modes. Normal mode shows 82.50% accuracy with a 36.69% coefficient of variation, while sensitive mode boasts 94.05% accuracy and 49.81% coefficient of variation. Both modes cater to different light conditions, with sensitive mode excelling in detecting light intensity. Linear regression implementation proves precise and accurate for light detection.
Co-Authors A.A. Ketut Agung Cahyawan W Adi Nugroho Affandi Ahdi Kurniawan Altama, Gady ANNA NOORDIA Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Ardianta, Dimas Septe Arya Rudi Nasution Br. Sembiring, Adelia Febrina Gardiya Septriadi Gigih Siantoro Hedi Purwanto Heryanto Nur Muhammad Hidayat, Ahmad Imam Hidayat, Ahmad Imam Imam Marsudi Indah Soesanti Jusman, Yessi Karisma Trinanda Putra, Karisma Trinanda Khusni Abbasf Kunnu Purwanto Kunnu Purwanto Kunnu Purwanto Muhammad Yusuf Rafif Nugraha, Aditiyo Eka Nugraha, Aditiyo Eka Nugraha, Vendy Dwi Hendra Oktaviani, Rara Dwi Oktaviani, Rara Dwi Pamungkas, Rizky Catur Pramono, Bayu Agung Prasetyo, Teguh Iman Rahmat Adiprasetya Al Hasibi Rama Okta Wiyagi Ramadoni Syahputra Rohmansyah Siregar, Rahmat Fauzi Suripto, Slamet Wiyagi, Rama Okta Yudhi Ardiyanto Yudhi Ardiyanto Yudhi Ardiyanto Zidni, Hasan