Real-Time Frequency Detection and Timer System for Shake Table Testing in Kontes Bangun Gedung Indonesia (KBGI)

Authors

  • I Kadek Agus Wahyu Raharja Universitas Warmadewa
  • Gde Wikan Pradnya Dana Universitas Warmadewa
  • I Made Adi Bhaskara Universitas Warmadewa
  • Ni Putu Widya Yuniari Universitas Warmadewa
  • I Made Surya Kumara Universitas Warmadewa
  • I Gede Wira Darma Universitas Warmadewa

DOI:

https://doi.org/10.53697/jkomitek.v5i1.2709

Keywords:

Embedded Systems, Frequency Detection, Shake Table Testing

Abstract

This paper presents the design and implementation of a real-time frequency detection and timer system developed for the Kontes Bangun Gedung Indonesia (KBGI), a national building competition in Indonesia. The system integrates an MPU6050 accelerometer with an ESP32 microcontroller to measure the frequency of a shake table, transmitting the data via serial communication to a Node.js-based web application. The application processes the data and displays a real-time timer on a dashboard, enabling precise monitoring of shake table oscillations during the competition. Utilizing the zero-crossing method for frequency calculation, the system achieved reliable performance, successfully supporting KBGI by providing accurate frequency readings and timing control. This solution combines low-cost hardware with open-source software, offering an accessible and effective tool for structural testing in competitive settings. The system's success in the competition underscores its potential for broader applications in seismic simulation and educational environments.

References

Allafi, I. &. (2017). Design and implementation of a low cost web server using ESP32 for real time photovoltaic system monitoring. 2017 IEEE Electrical Power and Energy Conference (EPEC) (pp. 1–5). IEEE. https://doi.org/10.1109/EPEC.2017.8286184

Bitode, A. G. (2025). Machine Vibration Data Collection And Analysis. International Research Journal of Modernization in Engineering Technology and Science, 8723-8727.

Brownlee, J. (2016). Machine Learning Mastery with Python. Machine Learning Mastery. Retrieved from Machine Learning Mastery: https://machinelearningmastery.com

Center, N. A. (2024). Panduan Kompetisi Bangunan Gedung Indonesia XV (KBGI XV) Tahun 2024. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.

Forum, P. T. (2015). Low-latency serial communication optimizations in Linux drivers. Retrieved from https://forum.pjrc.com

Kartikippili, D. D. (2025). Serial communication in IoT devices: A survey of UART, SPI, I²C, RS 232, and RS 485 protocols. International Journal of Advanced Research in Science, Communication and Technology, 733-742. doi:10.48175/IJARSCT-26392

Komarizadehasl, S. L.-G. (2022). Low-cost wireless structural health monitoring of bridges. Sensors, 5725. https://doi.org/10.3390/s22155725

Ma, Z. X. (2019). High reliability and low latency wireless communication for Internet of Things: Challenges, fundamentals and enabling technologies. IEEE Internet of Things Journal, 7946 - 7970. doi:10.1109/JIOT.2019.2907245

Nalakurthi, N. V. (2024). Challenges and opportunities in calibrating low-cost environmental sensors. Sensors, 24(11), 3650. doi:https://doi.org/10.3390/s24113650

Ordóñez Conejo, A. J. (2021). Adaptive low pass filtering using sliding window Gaussian processes. arXiv. https://doi.org/10.48550/arXiv.2111.03617

Pereira, G. P., Chaari, M. Z., & Daroge, F. (2023). IoT-enabled smart drip irrigation system using ESP32. IoT 2023, 221–243. https://doi.org/10.3390/iot4030012

Preeti, M., Guha, K., Baishnab, K. L., Dusarlapudi, K., & Raju, K. N. (2019). Low frequency MEMS accelerometers in health monitoring – A review based on material and design aspects. Materials Today: Proceedings (pp. 18(Part 6), 2152–2157). Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2019.06.658

Rahita, A. C. (2024). Internet of Things (IoT) in structural health monitoring: A decade of research trends. IIETA Journal, 123-139. https://doi.org/10.18280/i2m.230205

Saleem, S., Hejazi, F., & Ostovar, N. (2019). A review of dynamic analysis in frequency domain for structural health monitoring. IOP Conference Series: Earth and Environmental Science, 1-25. https://doi.org/10.1088/1755-1315/357/1/012007

Santos, R. (2022, April 1). ESP32 Web Server Tutorial. Random Nerd Tutorials. Retrieved from randomnerdtutorials: https://randomnerdtutorials.com/esp32-web-server

Siregar, A. A., Simanungkalit, E., & Nasrudin. (2025). Telegram-Based Earthquake Early Warning. Jurnal Penelitian Pendidikan IPA, 11(5), 85–94. https://doi.org/10.29303/jppipa.v11i5.11080

Smith, J. K. (2024). Recent advances in wireless sensor networks for structural health monitoring of civil infrastructure. Journal of Infrastructure Intelligence and Resilience, 3(1), 100066. https://doi.org/10.1016/j.iintel.2023.100066

Wu, X. Z. (2024). Sensing techniques for structural health monitoring: A state of the art review on performance criteria and new generation technologies. Sensors, 25(5), 1424. https://doi.org/10.3390/s25051424

Zhou, Y. M. (2025). A review of key signal processing techniques for structural health monitoring: Highlighting non parametric time frequency analysis, adaptive decomposition, and deconvolution. Algorithms, 318. https://doi.org/10.3390/a18060318

Zou, Z. Z. (2019). Seismic monitoring network based on MEMS sensors. Earthquake Science, 179–185. https://doi.org/10.29382/eqs-2019-0179-0

Downloads

Published

2025-07-11

How to Cite

Raharja, I., Dana, G., Bhaskara, I., Yuniari, N., Kumara, I., & Darma, I. (2025). Real-Time Frequency Detection and Timer System for Shake Table Testing in Kontes Bangun Gedung Indonesia (KBGI). Jurnal Komputer, Informasi Dan Teknologi, 5(1), 14. https://doi.org/10.53697/jkomitek.v5i1.2709

Issue

Section

Articles

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.