### Analisa Kesalahan Pemodelan Data Pasang Surut Stasiun Tanjung Priok

#### Abstract

This research was conducted to study the characteristics of tides and tidal make synthetic model.

The data used tide data hourly to the length of the data in 1985-1987 at the station Tanjung Priok,

Jakarta province, Indonesia.

The modeling is performed using a data length of 15 daily or for any length of data to 360 hours

and data 30 daily or for any length of data 720. Using data from tide observations obtained and

apply Anfor equations and method least squares can be generated model of periodic tidal hourly.

Model periodic tidal of tidal observation data is assumed as the model data obtained by using 9

tidal harmonic components. From the modeling results and the measured data can be seen the

correlation coefficient and the value of modeling errors.

Based on these results we can conclude tidal hourly synthetic time series obtained significantly

approaching tidal measurable. The correlation coefficient was very good, the value of the average

correlation coefficient models 30 daily periodic observation is 0.9377 and the average of

correlation coefficient models 15 daily periodic observation is 0.9571. From this research can be

seen the value of a good tide data and allow for cost saving tide observations with 15 days of

observation.

keywords: daily tidal, the value of modeling errors, correlation coefficient

The data used tide data hourly to the length of the data in 1985-1987 at the station Tanjung Priok,

Jakarta province, Indonesia.

The modeling is performed using a data length of 15 daily or for any length of data to 360 hours

and data 30 daily or for any length of data 720. Using data from tide observations obtained and

apply Anfor equations and method least squares can be generated model of periodic tidal hourly.

Model periodic tidal of tidal observation data is assumed as the model data obtained by using 9

tidal harmonic components. From the modeling results and the measured data can be seen the

correlation coefficient and the value of modeling errors.

Based on these results we can conclude tidal hourly synthetic time series obtained significantly

approaching tidal measurable. The correlation coefficient was very good, the value of the average

correlation coefficient models 30 daily periodic observation is 0.9377 and the average of

correlation coefficient models 15 daily periodic observation is 0.9571. From this research can be

seen the value of a good tide data and allow for cost saving tide observations with 15 days of

observation.

keywords: daily tidal, the value of modeling errors, correlation coefficient

#### References

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Teknologi Bandung.

Dronkers, J.J., 1964, Tidal Computations in Rivers and Coastal Water. North – Holland

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Ongkosongo, Otto S.R dan Suyarso, 1989, Pasang Surut. Asean-Australia Cooperative

Programs on Marine Science, Project I : Tide and Tidal Phenomena, LIPI, Jakarta

Triatmodjo, B.,1999, Teknik Pantai. Beta Offset Yogyakarta

Wyrtki, K., 1961, Phisical oceanography of Southeast Asian waters. Naga report.

University of California. La Lolla

Zakaria, A., 1997, Kajian Awal Mengenai Kesalahan Peramalan Pasang Surut. Tesis.

Institut Teknologi Bandung

Zakaria, A., 2005, Aplikasi Program ANFOR. Bandar Lampung: Fakultas Teknik

Universitas Lampung

ISSN: 2303-0011