Sistem Monitoring Kerusakan Motor Kapal dengan Sensor Piezoelectric Secara Real-Time
DOI:
https://doi.org/10.58192/ocean.v5i2.4721Keywords:
Electric Motor; Piezoelectric Sensor; Real-time; Sewage pum; Vibration MonitoringAbstract
The electric motor of a ship’s sewage pump operates continuously and plays an important role in the ship’s sanitation system. Therefore, motor condition monitoring is required to prevent operational disruptions. Motor damage is generally preceded by increased vibration caused by imbalance, bearing wear, or improper installation. This study aims to design a real-time monitoring system for electric motor damage of a ship’s sewage pump using a piezoelectric sensor as a vibration detector. The research method used was an experimental method consisting of system design, static testing, dynamic testing, and data analysis. The system was designed using a Moswell MW 125 motor as a representation of the sewage pump motor, a piezoelectric sensor as the vibration detector, an ESP32 microcontroller as the data processor and transmitter, and Node-RED as the monitoring display platform. Dynamic testing was carried out for 30 minutes with data readings taken every 5 minutes. The test results showed that the monitoring system worked according to the design. The motor vibration value under normal conditions ranged from 0.2 to 0.5 mm/s during the testing period, which was categorized as safe and stable. The system was able to display vibration data in a real-time, continuous, and accurate manner through the dashboard. Therefore, the piezoelectric sensor-based monitoring system can be used as an early detection tool for motor damage and to support preventive maintenance of the ship’s sewage pump electric motor.
References
Anuar, M., Rostan, M., & Hawa, A. (2024). IoT Based Motor Vibration and Temperature Detector for Real-time Monitoring. In International Journal of Synergy in Engineering and Technology (Vol. 5, Number 2). https://tatiuc.edu.my/ijset/index.php/ijset/. Diakses Pada tanggal 8 Februari 2026
Ahmed, S. (2024). VESBELT: An Energy-Efficient and Low-Latency Aware Task Offloading in Maritime Internet-of-Things Networks Using Ensemble Neural Networks. Future Generation Computer Systems, 161, 572–585. https://doi.org/10.1016/j.future.2024.07.034. Diakses pada tanggal 19 Mei 2026
Apaza, R. (2023). Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications. Applied Sciences, 13(17), 9742.
Dwi Santoso, A., Eka Mahendra, D., & Dirhamsyah, D. (2024). Temperature and Vibration Monitoring System on Electric Motors from Wireless Remote Control Using Blynk App. SAINSTECH NUSANTARA, 1(1), 21–29. https://doi.org/10.71225/jstn.v1i1.40. Diakses Pada tanggal 8 Februari 2026
Gu, J. P. (2023). Evaluation of a Multi-Hop Wireless Internet-of-Things Network on Large Ships. Journal of Marine Science and Engineering, 11(12), 2243.
Habyarimana, M., & Adebiyi, A. A. (2025). Selection and Placement of Sensors for Electric Motors: A Review and Preliminary Investigation. Energies, 18(13). https://doi.org/10.3390/en18133484. Diakses Pada tanggal 8 Februari 2026
Khazaee, M., Rosendahl, L. A., & Rezania, A. (2022). Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-time Experimental Investigations. Sensors, 22(9). https://doi.org/10.3390/s22093395. Diakses Pada tanggal 8 Februari 2026
Niknami, N. S. (2023). aritime Communications—Current State and the Future Potential with SDN and SDR. Network, 3(4), 563–584.
Rao, S. (2017). Mechanical Vibrations In (6th ed.). Pearson Education.
Raziah, I., Novandri, A., & Away, Y. (2024). Real-time Monitoring of Photovoltaic Panel Using Node-RED. Sinkron, 8(3), 2049–2060. https://doi.org/10.33395/sinkron.v8i3.13929. Diakses Pada tanggal 8 Februari 2026
Siswanto, Y., Opu, A. S., Nurjannah, I., & Pakiding, H. (2025). Design Of Internet of Things (Iot) Based Bearing Monitoring Tool. Otopro, 13–21. https://doi.org/10.26740/otopro.v21n1.p13-21. Diakses Pada tanggal 8 Februari 2026
Solon Araujo Dutra, F., Souza de Oliveira, R., Matos Brazil, T., Mark Lobo de Oliviera, J., & Augusto da Paz Elleres, P. (2023). Real-time Monitoring Of Industrial Induction Motors by Current and Vibration Analysis. International Journal of Advanced Research, 11(11), 1166–1171. https://doi.org/10.21474/ijar01/17923. Diakses Pada tanggal 8 Februari 2026
to, S. G. (2023). Evaluation of an IoT-Based Platform for Maritime Transport Services. Applied System Innovation, Applied System Innovation, 6(3), 58. https://doi.org/10.3390/asi6030058. Diakses pada tanggal 19 Mei 2026
Usman, S., & Anhar, Muh. (2024). Condition Monitoring for Induction Motor using Wireless Vibration Monitoring System (pp. 1151–1162). https://doi.org/10.2991/978-94-6463-364-1_105. Diakses Pada tanggal 8 Februari 2026
Zhang, Y. (2024). A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges. Journal of Marine Science and Engineering, 12(1), 11. https://doi.org/10.3390/jmse12010011. Diakses pada tanggal 19 Mei 2026
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