GINANJAR, SATRIA (2022) AN INTERNET OF THINGS ARCHITECTURE FOR REAL-TIME TIDE AND WAVE MONITORING USING HELTEC LORA 32 AND KALMAN FILTER (22o646). Undergraduate thesis, Universitas Diponegoro.

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Abstract

ABSTRACT
Satria Ginanjar. 26050118130065. An Internet of Things Architecture for Real�Time Tide and Wave Monitoring using Heltec LoRa 32 and Kalman Filter.
(Anindya Wirasatriya dan Kunarso)
Tidal data monitoring is an important component for onshore and offshore
activities. This study designs a low-cost tide gauge and an architecture that
combines the Internet of Things with numerical processing to record tidal and
ocean wave data from a single sensor without compromising data quality. The
location of tide gauge test is located in Timbulsloko Village, Sayung District,
Demak Regency, Central Java, Indonesia. The tide gauge test was carried out for
13 days from January 1, 2022, to January 14, 2022. This tide gauge study used a
Heltec LoRa 32,433 MHz microcontroller. The A01NYUB type UART ultrasonic
sensor is used to measure sea level and wave height. Tidal data is filtered using the
Kalman method until the tidal and residual signals are obtained. Timbulsloko is a
micro-tidal region, the tidal range is less than 2 m. The mean high water spring
(MHWS) is 1.15 m while the mean low water spring (MLWS) is 0.15 m. The type of
tide that occurs in the Timbulsloko area, Demak is a mixed tide prevailing diurnal.
The mean wave height of the recorded residuals is 22.82 cm. This tide gauge system
produces good quality data when compared to other studies that use standardized
observation and instrumentation.
Keywords: Tide gauge, Internet of Things, Kalman filter, Wind waves, Lora

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