JGISE-Journal of Geospatial Information Science and Engineering
Vol 8, No 1 (2025): June

Implementation and Validation of Online Tidal Analysis

Basith, Abdul (Unknown)
Dondiarta, Ghani Yanuargo (Unknown)



Article Info

Publish Date
13 Jul 2025

Abstract

Tidal harmonic analysis extracts tidal components to understand regional tides that generally conducted using commercial or non-commercial software that needs to be installed on the user's local device. Currently there is still no online harmonic analysis service for tidal data, only an online tidal prediction service. Auto Tidal Pro is developed to perform harmonic analysis and prediction online and is designed to automate the process. It is built using the least square method and Java programming language for harmonic analysis and tidal prediction programs. This study aims to present the results of the development of the online tidal data analysis system called Auto Tidal Pro and its validation. Validation is conducted by comparing the results of harmonic analysis and predictions from the LP-Tides software and observational data. The tidal observational data used is from Balikpapan station. The validation results show that the amplitude component values are close to the LP-Tides results, but the phase values still show some differences. The RMSE value of the harmonic analysis results with Auto Tidal Pro ranges from 0.032-0.17 m, while the RMSE of LP-Tides results is 0.12 m. The MSL difference in about 0.012-0.004m. Auto Tidal Pro prediction produce wave patterns that are almost identical to the observational data and theĀ  LP-Tides predictions. The prediction RMSE gives values between 0.08-0.16 m, and the correlation between Auto Tidal Pro's predictions with observational data and LP-Tides predictions ranges from 0.930816-0.990809. In general, Auto Tidal Pro can be an alternative for tidal harmonic analysis and prediction.

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Journal Info

Abbrev

jgise

Publisher

Subject

Engineering

Description

JGISE also accepts articles in any geospatial-related subjects using any research methodology that meet the standards established for publication in the journal. The primary, but not exclusive, audiences are academicians, graduate students, practitioners, and others interested in geospatial ...