PEMBUATAN PROGRAM ANALISIS HARMONIK PASANG SURUT LAUT DENGAN BAHASA PEMROGRAMAN C++
| Main Authors: | , ZULFA SYATHARI, , Abdul Basith, S.T., M. Si., Ph.D. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/129036/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69411 |
Daftar Isi:
- Ocean tide is a phenomenon of the increase and decrease of sea surface, caused by the gravitational force between moon and earth. Sea tide dynamic change is according to the sun and moon position towards earth. Tide information is essential for practical and technical application. Intergovernmental Oceanographic Comission (IOC) provides a service access to the observation data. IOC data is abundant and needs some special treatments. Time series analysis method using least square is an appropriate method to process the IOC abundant data. The available opensource program is able to process the data using least square but unable to automatically handle the data. A program capable of preparing and processing data in harmonic analysis is needed. Computer program to help sea tide harmonic analysis is created using C++ programming language. The program is composed using IOC data as a standard input data, which uses observed times and observed water levels as an input. The program of selecting the data is based on observed time in hourly period. Sometimes, the observation time and the corresponded observed height are empty. The empty data is marked and will not be included in the matrix composing and computation to avoid data folding. Sea tide harmonic analysis computation refers to Emery (1995). Emery computation algorithm is a least square method. The corresponded matrix used in the computation process is composed based on a conditional method. The standard deviation of the parameter is computed based on Foreman (1997) algorithm. This program also includes prediction. The sea tide analysis harmonic program in this paper is able to select data hourly from any observation interval, calculate harmonic constituent according to synodic period, and calculate tide prediction data using the constituent computed. The data selection and the data marking were committed successfully and could be checked by the user. The applied selection was used to avoid data folding. The program was tested using artificial data to test the program ability to analyze constituent and predict the tide. The computed constituent and the computed tide prediction error are equal to zero.