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Design of a Biceps Arm Curl Execise Reps Counter With a Muscle Sensor


Rancang Bangun Alat Penghitung Repetisi Olahraga Biceps Arm Curl Dengan Sensor Otot

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DOI:

https://doi.org/10.21070/ups.717

Keywords:

Electromyography, muscle sensor, Muscle Contraction, Biceps Brachii, Biceps arm curl

Abstract

Weight training for health and appearance has become a very popular activity among students and even those who are older. The reason is simple. This exercise results in better power, voluptuous muscles, improved posture and stress management. Muscles are an active part of the body because they are able to control other organs of the body so that we can move. The purpose of making the Biceps Arm Curl Exercise Repetition Calculator Design With EMG Sensor is to automatically calculate a person's muscle contractions when doing biceps arm curl exercise. The numbers obtained are the result of reading the v3 muscle sensor when the muscles are contracting and then processed by Arduino Nano and then displayed on the liquid crystal display. This biceps arm curl exercise rep counter has three main components, namely the V3 muscle sensor, the Arduino nano microcontroller, and the electrodes.

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References

N. Pambudi and T. Hidayah, “Pengaruh Latihan Pola Straight-Set Dan Drop-Set Terhadap Hipertropi Dan Kekuatan Otot Bisep Pada Member Fik Fitness Center Unnes Semarang,” J. Sport Sci. Fit., vol. 3, no. 2, pp. 6–10, 2014.

A. Yulhanapis et al., “Rancang bangun analisis Elektromiografi dengan menggunakan Elektroda Ag|AgCl,” 2021.

A. B. Raharjo, B. Fatukhurrozi, and I. Nawawi, “Analisis sinyal electromyography (emg) pada otot biceps brachii untuk mendeteksi kelelahan otot dengan metode median frekuensi,” Journal of Electrical Engineering, Computer and Information Technology, vol. 1, no. 1. pp. 1–5, 2020.

R. Karimah, Pengaruh Kopi Robusta terhadap Daya Tahan Otot Biceps Pada Latihan Beban Biceps Arm Curl. 2015.

A. Maulana, Rizki, Ahmad Maulana. Sport Monit. UNTUK MELIHAT KONDISI OTOT BRACHII DAN QUADRICEPS PADA SINYAL Electromyogr. MENGGUNAKAN MYOWARE MUSCLE Sens. (AT-04-001). Diss. Inst. Teknol. Kalimantan, 2021., p. 2, 2021,

M. SULTHON, “Pembuatan Alat Pengukur Kontraksi Otot Portabel Menggunakan Sinyal Electromyography Dan Aplikasi Blynk,” 2021,

F. Fernando and F. B. Setiawan, “Pengukuran Kekuatan Kontraksi Otot Pada Bagian Torso Tubuh Menggunakan Sensor Elektromiografi,” pp. 75–84, 2019, doi: 10.5614/sniko.2018.12.

Harsono, Coaching dan Aspek-Aspek Psikologi dalam Coaching. Harsono. (1988). Coaching dan aspek-aspek psikologis dalam olah raga: Buku panduan pengajar., 1988.

Suharjana, “156915-ID-latihan-beban-sebuah-metode-latihan-keku.pdf.” 2007.

R. Rokhana and P. S. Wardana, “Identifikasi Sinyal Electromyograph ( Emg ) Pada Gerak Ekstensi-Fleksi Siku Dengan Metode Konvolusi Dan Jaringan Syaraf Tiruan,” Ind. Electron. Semin., pp. 1–6, 2009.

A. I. F. Dwi, “Klasifikasi Sinyal Emg Dari Otot Lengan Sebagai Media Kontrol Menggunakan Naïve Bayes,” Inst. Teknol. Sepuluh Nop., p. 16, 2017.

A. B. Saifuddin, “Buku Acuan Nasional Pelayanan Kesehatan Maternal dan Neonatal, Jakarta : Yayasan Bina Pustaka. Sarwono Prawirohardjo,” Nu, vol. 30, no. 25, pp. 36–39, 2002, doi: 10.7748/ns.30.25.36.s46.

M. I. Hamid, “Beda pengaruh latihan Dumbbell beban statis dan Latihan dumbbell beban dinamis terhadap peningkatan power otot biceps brachii,” Beda pengaruh Latih. Dumbbell beban statis dan Latih. dumbbell beban Din. terhadap peningkatan power otot biceps brachii, vol. 66, pp. 37–39, 2018,

A. Boyali and N. Hashimoto, “Spectral Collaborative Representation based Classification for hand gestures recognition on electromyography signals,” Biomed. Signal Process. Control, vol. 24, pp. 11–18, 2016, doi: 10.1016/j.bspc.2015.09.001.

N. Tristianti, “Klasifikasi Gerakan Otot Lengan Bawah Pada Penderita Stroke Berdasarkan Sinyal Emg Menggunakan Metode K-Nearest Neighbor,” 2017.

AdvancerTechnologies, “Muscle Sensor v3 User Manual,” no. February 2013, pp. 2–5, 2013,

A. Pamungkas, “Kajian Prosedur Operasional Penangkapan Sinyal Myoelectric Menggunakan Tiga Channel Myoelectric Module Berbasis AD620,” pp. 1–64, 2002.

A. Technologies, “Myoware datasheet,” pp. 1–8, 2015,

Z. Arifin, “Biopotensial Elektroda di Bidang Medis,” vol. 38 No.2.,

F. F. Iman, “Purwarupa Smart Door Lock Menggunakan Multi Sensor Berbasis Sistem Arduino,” Fak. Teknol. Inf. dan Elektro Universtas Teknol. Yogyakarta, pp. 1–7, 2017.

A. M. Soka, “Rancang bangun helm pendeteksi kecelakaan lalu lintas serta informasi lokasi dan tingkat benturan menggunakan arduino uno,” 2019, Accessed: Jun. 24, 2022.

I. Anshory, D. Hadidjaja, and R. B. Jakaria, “Bldc Motor : Modeling and Optimization Speed Control Using Firefly Algorithm,” Dinamik, vol. 25, no. 2, pp. 51–58, 2020, doi: 10.35315/dinamik.v25i2.7851.

Posted

2023-04-11