KAJIAN VARIASI TEMPORAL DAN SPASIAL DALAM KEGIATAN PREDIKSI PASUT

The tides of the sea are events that are influenced by the attractiveness between the earth, the moon, and the sun. As a result of this attractive pull, sea level changes either up or down from a predetermined reference. Tidal prediction is a way used to calculate the value of sea level in the futur...

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Bibliographic Details
Main Author: Simon Sianturi, Sehat
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/58112
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The tides of the sea are events that are influenced by the attractiveness between the earth, the moon, and the sun. As a result of this attractive pull, sea level changes either up or down from a predetermined reference. Tidal prediction is a way used to calculate the value of sea level in the future, especially for practical purposes in the marine field. With this predicted value is expected to maximize the potential of various activities at sea. In this study, we aim to determine the RMSE (error) value of the predicted value by using a time frame and the amount of data that varies within 2 years. Tidal data used is data from the tidal stations Cilacap, Bitung, Benoa, Pondok Dayung, Biak, and Ambon. Predictions are determined by conducting harmonic analysis to find tidal components, then predicted for 2 years with variations of data used for a month, 3 months, 4 months, 6 months, and a full year at intervals of observation data per minute and hourly. In this study, the difference between prediction data and actual measurement data in 2018 and 2019 was obtained. The RMSE value of the predicted results using data for a year and time intervals per minute is best on the condition that during observation the sensor works properly. The best RMSE values vary from 0.11 metres to 0.42 metres.