Evaluasi Kualitas Spektral Estimasi Gelombang Smart Buoy Berbasis Sensor Inersia

Abstract

Pengukuran gelombang menggunakan sensor inersia pada smart buoy berbiaya rendah rentan terhadap frekuensi frekuensi rendah, kuantisasi periode puncak, dan salah tafsir ketika quality control hanya memeriksa kegagalan sensor. Penelitian ini menyiarkan kualitas spektral 47 rekaman utama yang diperoleh saat prototipe smart buoy mengapung bebas di Perairan Kepulauan Seribu. ICM-20948 diakuisisi pada 20 Hz, dirata-ratakan menjadi 5 Hz, lalu diproses pada jendela 120 s menggunakan koreksi orientasi, detrending, Hann window, dan transformasi Fourier. Tinggi gelombang signifikan berada pada 0,624-1,911 m dengan rata-rata 1,255 m, sedangkan periode puncak berada pada 12-20 s. Analisis tambahan menunjukkan resolusi spektral 0,00833 Hz dan 32 dari 47 rekaman, atau 68,1%, menempatkan puncak spektrum tepat pada batas bawah 0,05 Hz. Proporsi ini memiliki interval kepercayaan Wilson 95% sebesar 53,8-79,6%. Kondisi tersebut tidak terdeteksi oleh wave_qc internal karena seluruh rekaman bernilai nol. Perbandingan kontekstual dengan rentang BMKG menghasilkan 24 rekaman dalam rentang 0,5-1,25 m dan 23 rekaman di atasnya, tanpa dominasi kategori yang bermakna. Temuan menunjukkan bahwa keberhasilan pemrosesan tidak sama dengan keterjaminan kualitas spektral. Pengendalian mutu bertingkat yang menghilangkan fase operasional, sensor bendera, dan okupansi batas frekuensi yang diperlukan sebelum Hₛ dan Tₚ dipakai untuk keputusan operasional.

References

World Meteorological Organization, Guide to Wave Analysis and Forecasting, WMO-No. 702. Geneva, Switzerland: WMO, 2020.

A. Majumder, M. Losito, S. Paramasivam, A. Kumar, and G. Gatto, “Buoys for marine weather data monitoring and LoRaWAN communication,” Ocean Engineering, vol. 313, art. 119521, 2024, doi: 10.1016/j.oceaneng.2024.119521.

J. F. Martínez-Osuna, F. J. Ocampo-Torres, L. Gutiérrez-Loza, E. Valenzuela, A. Castro, R. Alcaraz, C. Rodríguez, and L. R. Ulloa, “Coastal buoy data acquisition and telemetry system for monitoring oceanographic and meteorological variables in the Gulf of Mexico,” Measurement, vol. 183, art. 109841, 2021, doi: 10.1016/j.measurement.2021.109841.

J. Rabault et al., “OpenMetBuoy-v2021: An easy-to-build, affordable, customizable, open-source instrument for oceanographic measurements of drift and waves in sea ice and the open ocean,” Geosciences, vol. 12, no. 3, art. 110, 2022, doi: 10.3390/geosciences12030110.

Y. Y. Yurovsky and V. A. Dulov, “MEMS-based wave buoy: Towards short wind-wave sensing,” Ocean Engineering, vol. 217, art. 108043, 2020, doi: 10.1016/j.oceaneng.2020.108043.

V. Alari et al., “LainePoiss: A lightweight and ice-resistant wave buoy,” Journal of Atmospheric and Oceanic Technology, vol. 39, no. 5, pp. 573-594, 2022, doi: 10.1175/JTECH-D-21-0091.1.

G. Hope et al., “SFY: A lightweight, high-frequency, and phase-resolving wave buoy for coastal waters,” Journal of Atmospheric and Oceanic Technology, vol. 42, no. 2, 2025, doi: 10.1175/JTECH-D-23-0170.1.

Y. Y. Yurovsky and O. B. Kudinov, “A very small wave buoy: The challenges learned from a proof-of-concept field experiment,” Ocean Engineering, vol. 350, art. 124212, 2026, doi: 10.1016/j.oceaneng.2026.124212.

Y. Hisaki, “Validation of drifting buoy data for ocean wave observation,” Journal of Marine Science and Engineering, vol. 9, no. 7, art. 729, 2021, doi: 10.3390/jmse9070729.

C. O. Collins et al., “Performance of moored GPS wave buoys,” Coastal Engineering Journal, pp. 17-43, 2024, doi: 10.1080/21664250.2023.2295105.

K. Raghukumar, G. Chang, F. Spada, C. Jones, T. Janssen, and A. Gans, “Performance characteristics of Spotter, a newly developed real-time wave measurement buoy,” Journal of Atmospheric and Oceanic Technology, vol. 36, no. 6, pp. 1127-1141, 2019, doi: 10.1175/JTECH-D-18-0151.1.

H. Gu, X. Zhu, R. Shan, J. Zang, L. Qian, and P. Lin, “Evaluation of a GNSS for wave measurement and directional wave spectrum analysis,” Ocean Engineering, vol. 270, art. 113683, 2023, doi: 10.1016/j.oceaneng.2023.113683.

A. Salcedo-Bosch, F. Rocadenbosch, M. A. Gutiérrez-Antuñano, and J. Tiana-Alsina, “Estimation of wave period from pitch and roll of a lidar buoy,” Sensors, vol. 21, no. 4, art. 1310, 2021, doi: 10.3390/s21041310.

A. C. Brown and R. K. Paasch, “The accelerations of a wave measurement buoy impacted by breaking waves in the surf zone,” Journal of Marine Science and Engineering, vol. 9, no. 2, art. 214, 2021, doi: 10.3390/jmse9020214.

Y.-Z. Zhong, H. Chien, H.-M. Chang, and H.-Y. Cheng, “Ocean wind observation based on the mean square slope using a self-developed miniature wave buoy,” Sensors, vol. 22, no. 19, art. 7210, 2022, doi: 10.3390/s22197210.

F. Feddersen et al., “The Wavedrifter: A low-cost IMU-based Lagrangian drifter to observe steepening and overturning of surface gravity waves and the transition to turbulence,” Coastal Engineering Journal, 2023, doi: 10.1080/21664250.2023.2238949.

P. K. Jangir, K. C. Ewans, and I. R. Young, “Comparative performance of radar, laser, and Waverider buoy measurements of ocean waves. Part I: Frequency-domain analysis,” Journal of Atmospheric and Oceanic Technology, vol. 40, no. 5, pp. 605-627, 2023, doi: 10.1175/JTECH-D-22-0108.1.

C. Sætre et al., “Directional wave measurements from navigational buoys,” Ocean Engineering, vol. 268, art. 113161, 2023, doi: 10.1016/j.oceaneng.2022.113161.

Issue

Vol. 8 No. 2 (2026): Jurnal Teknik Elektro dan Komputasi (ELKOM)

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