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Kolinamil, Pelabuhan Jakarta

Period
10 Jan 202631 Jul 2026202 days
Datum
Nol sensor stasiun (bukan MSL)
gaps
68740 jam
Source
IOC Sea Level Station Monitoring Facility (UNESCO/IOC & VLIZ)
Source, licence and datum notes

Licence: Akses terbuka dengan kewajiban sitasi (VLIZ/IOC, DOI 10.14284/482)

Flanders Marine Institute (VLIZ); Intergovernmental Oceanographic Commission (IOC) (2026): Sea level station monitoring facility. https://www.ioc-sealevelmonitoring.org — DOI 10.14284/482

Not for navigationThe official Indonesian tide tables are published by Pushidrosal.

Methods

Method comparison

The same record, two classical methods. Least squares solves every constituent jointly; Admiralty projects them one at a time and infers the rest from fixed ratios.

Residual RMS — Least squares

0.0905m

Residual RMS — Admiralty

0.0924m

Condition number κ — Least squares

1.46

Least squares compared with Admiralty
ConstituentH — Least squaresH — AdmiraltyDifference Hg — Least squaresg — AdmiraltyDifference gDetermination
K10.25410.2592-0.0051214.4214.6-0.1Direct
O10.14460.1497-0.0051204.1203.40.7Direct
P10.06990.0858-0.0159207.9214.6-6.7Inferred
M20.06550.06270.0029144.5145.0-0.5Direct
S20.04870.0499-0.001285.880.15.6Direct
K20.02370.01350.010267.780.1-12.5Inferred
N20.02220.0252-0.0030103.9111.9-8.0Direct
M40.00590.0066-0.0007105.9101.84.1Direct
MS40.00550.0055-0.0000139.3133.06.3Direct

Admiralty infers K2, P1 from its neighbours through fixed ratios rather than solving for them. Least squares solves every constituent jointly and so accounts for the correlation between neighbours; that is the only fundamental difference between the two here.

The Admiralty implementation here is its projection-and-inference scheme, not a reproduction of the printed NP 159 tabulation and its filtering multipliers.