Jurnal Mandiri IT
Vol. 11 No. 1 (2022): July: Computer Science and Field.

Prediction of Tidal Data Using Cloud Computing-Based Support Vector Regression in Alor, East Nusa Tenggara

Ruly Adhitya (Universitas Pendidikan Indonesia)
Irawati Devi (Universitas Pendidikan Indonesia)
Imel Novia Sari (Universitas Pendidikan Indonesia)



Article Info

Publish Date
27 Jul 2022

Abstract

Alor Regency is an area located at 8o6' South Latitude – 8o36' South Latitude and 123o48' East Longitude – 25o 48' East Longitude. Alor as an archipelagic region with wide waters and rich in various types of fishright. The tides (tidal) of sea water is a phenomenon of periodic ups and downs of sea levels that can affect the activities of coastal communities. The existence of today's technological advances by predicting the height of the tides can be a control for the sustainability of community activities in coastal areas affected by the tides. Predictions are made using tidal data in time series since 2019, 2020, and 2021 obtained from the PUSHIDROSAL website using the Support Vector Regression (SVR) algorithm based on Cloud Computing. Therefore, the purpose of this research is to build tidal predictions in Alor, NTT which then integrates all datasets into the Cloud Computing environment to speed up data processing.parameter tuning is done with the Radial Basis Function (RBF) kernel using a gamma parameter of 1000 which produces an RMSE value of 0.0105 and a correlation of 1, so the model is considered quite good in predicting tides at the Alor pushidrosal station, East Nusa Tenggara.

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Journal Info

Abbrev

Mandiri

Publisher

Subject

Computer Science & IT Library & Information Science Mathematics

Description

The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related ...