Rancang Bangun Sistem Smart Dumbbell Berbasis IOT untuk Menghitung Repetisi Latihan Bicep Curl
Main Article Content
Abstract
The rapid development of Internet of Things (IoT) technology has opened opportunities for innovation in various fields, including fitness. This research designs and develops an IoT-based Smart Dumbbell system that automatically counts bicep curl repetitions and displays the data in real-time through a web-based monitoring platform. The system uses an ESP32 microcontroller as the main data processor, an MPU6050 sensor to detect acceleration and rotation movements, and a buzzer as an audio indicator to provide immediate feedback to users. The calculated data is sent to the Firebase Realtime Database and accessed via a website with a simple and informative interface. Testing results show that this Smart Dumbbell prototype can count exercise repetitions with an average accuracy of 87% and a minimal error compared to manual counting. The Wi-Fi connectivity runs stably, enabling real-time data transmission, and the device has a power endurance of up to ±5 hours using a 5000 mAh power bank. This system has proven effective in supporting independent workouts that are more measurable and data-driven, making it a practical and innovative solution for IoT applications in the fitness field.
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Akbar, M. F., Syauqy, D., & Putri, R. R. M. (2024). Sistem Bantu Wearable Pada Training Angkat Beban Untuk Biceps Dengan Algoritma Jaringan Saraf Tiruan. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 1(1). https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/13619/6055
Auwali, G. R., Ahfas, A., & Ayuni, S. D. (2023). Alat Kontrol dan Pengaman Sepeda Motor Menggunakan ESP 32 Cam Berbasis Telegram untuk Meminimalisasi Pencurian. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 3(2), 219–229. https://doi.org/10.57152/malcom.v3i2.923
Chotikunnan, P., Khotakham, W., Ma’arif, A., Nirapai, A., Javana, K., Pisa, P., Thajai, P., Keawkao, S., Roongprasert, K., Chotikunnan, R., Imura, P., & Thongpance, N. (2025). Comparative Analysis of Sensor Fusion for Angle Estimation Using Kalman and Complementary Filters. International Journal of Robotics and Control Systems, 5(1), 1–21. https://doi.org/10.31763/ijrcs.v5i1.1674
Development, R., Prof, A., Elfi, N., Kom, S., & Si, M. (n.d.). e-Book METLIT KUALI-KUANTI-R & D--UPB 2023.
Elshafei, M., & Shihab, E. (2021). Towards detecting biceps muscle fatigue in gym activity using wearables. Sensors (Switzerland), 21(3), 1–18. https://doi.org/10.3390/s21030759
Eni Dwi Wardihani, Eka Ulia Sari, Helmy, Ari Sriyanto Nugroho, Yusnan Badruzzaman, Arif Nursyahid, Thomas Agung Setyawan, & Media Fitri Isma Nugraha. (2024). Pemantauan dan Pengendalian Parameter Greenhouse Berbasis IoT Dengan Protokol MQTT. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 13(1), 38–43. https://doi.org/10.22146/jnteti.v13i1.8564
Fatimah, F., Abdy, S., Ramadhany, S., & Fitriani, P. (2025). Sistem Monitoring Dan Deteksi Dini Terjadinya Gempa Berbasis Iot ( Internet Of Things ). 5(1), 31–39. https://doi.org/10.47065/jimat.v5i1.472
Husen, M. S., & Anshory, I. (2024). Rancang Bangun Alat Penghitung Repetisi Olahraga Biceps Arm Curl dengan Sensor Otot. Innovative Technologica: Methodical Research Journal, 3(1), 1–9. https://doi.org/10.47134/innovative.v3i1.97
Man, F. H. D. K., & Joko Sutopo. (2023). Rancang Bangung Aplikasi Monitoring Latihan Kebugaran Jasmani Berbasis Internet of Things. Jurnal Komputer Terapan, 9(2), 173–181. https://doi.org/10.35143/jkt.v9i2.6183
Rfid, M., Smkn, D. I., & Serang, K. (2021). Rancang Bangun Sistem Absensi Mahasiswa. 3(1), 31–39.
Sari, I. P., & Alfarisi, F. (2024). Perancangan Sistem Aplikasi Pendataan Membership Gym Menggunakan Metode Unified Software Development Process (USDP) Berbasis Web. Hello World Jurnal Ilmu Komputer, 3(1), 37–48. https://doi.org/10.56211/helloworld.v3i1.523
Setiawan, K., & Aula, R. F. (2024). Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman Abstrak. 5(3), 2915–2924.
Shiao, Y., Hoang, T., & Chang, P. Y. (2021). Real-time exercise mode identification with an inertial measurement unit for smart dumbbells. Applied Sciences (Switzerland), 11(23). https://doi.org/10.3390/app112311521
Sugiarto, M. A. R., Muhtarom, M., & Asri, A. A. K. (2024). Implementasi Sistem Pemberian Pakan Ikan Hias Otomatis Menggunakan Esp 32 Berbasis Iot (Internet of Things). Jurnal Indonesia : Manajemen Informatika Dan Komunikasi (JIMIK), 5(3), 2781–2791. https://journal.stmiki.ac.id
Tri Sulistyorini, Nelly Sofi, & Erma Sova. (2022). Pemanfaatan Nodemcu Esp8266 Berbasis Android (Blynk) Sebagai Alat Alat Mematikan Dan Menghidupkan Lampu. Jurnal Ilmiah Teknik, 1(3), 40–53. https://doi.org/10.56127/juit.v1i3.334
Yonatan, Y. K., Mukti, A. T., & Firmansyah, R. N. (2025). Analisa Penerapan Sensor Suhu Menggunakan Arduino Uno di dalam Sistem Pertanian GreenHouse : Sensor DHT22. 4(1), 39–46.
Yusuf, A., & Jahrir, A. S. (2020). Pengaruh Latihan Bicep curl dan Preacher curl Terhadap Kemampuan Tangkapan Satu Kaki Olahraga Gulat Mahasiswa STKIP YPUP Makassar. Jendela Olahraga, 5(1), 10–20.https://doi.org/10.26877/jo.v5i1.4247