SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA

Development of technology support many life aspects, including naval environment. In advanced country, Sea tidal already accessible in real time so it can be used as a reference for sailing or vacation. That condition is a background for making a similar application for Indonesian seas. By using...

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Main Author: Yoga Pradhika, Chaula
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/45351
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:45351
spelling id-itb.:453512019-12-17T08:48:12ZSISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA Yoga Pradhika, Chaula Indonesia Final Project Tide, Prediction, BIG, Android, OSPas INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/45351 Development of technology support many life aspects, including naval environment. In advanced country, Sea tidal already accessible in real time so it can be used as a reference for sailing or vacation. That condition is a background for making a similar application for Indonesian seas. By using data from Badan Informasi Geospasial (BIG) which currently only can be easily accessed from website, informations about tide in Indonesia coastline in this application can be accesed from Android-based smartphone. Study conducted in this research is about making an information system mechanism based on Android. This study begins with validating field data using MGPS_dB, after that, tide components and prediction processed by T-Tide and later on, visualized in smartphone using Xamarin and Ruby. Data source for this application is from 60 field datas from BIG’s monitoring station from year 2014. Outputs from this study is a tide application prototype based on Android called OSPas 1.0 which has main features: Showing field data elevation, Main tide components (K1, O1, M2, dan S2), tide type, and tide prediction for one day or one week. Based on study cases in 3 stations from 3 zones in Indonesia: western, center, and eastern, Bangka waters (western zone) has diurnal type, Jepara station (central zone) has mixed diurnal type, and Banda (eastern zone) has mixed semidiurnal type. Results from this application has accuracy, consecutively from the smallest, are Jepara, Banda, and Bangka, which sorted from RMSE between prediction data and field data which has value of 0,060 m, 0,062 m, and 0,125 m. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Development of technology support many life aspects, including naval environment. In advanced country, Sea tidal already accessible in real time so it can be used as a reference for sailing or vacation. That condition is a background for making a similar application for Indonesian seas. By using data from Badan Informasi Geospasial (BIG) which currently only can be easily accessed from website, informations about tide in Indonesia coastline in this application can be accesed from Android-based smartphone. Study conducted in this research is about making an information system mechanism based on Android. This study begins with validating field data using MGPS_dB, after that, tide components and prediction processed by T-Tide and later on, visualized in smartphone using Xamarin and Ruby. Data source for this application is from 60 field datas from BIG’s monitoring station from year 2014. Outputs from this study is a tide application prototype based on Android called OSPas 1.0 which has main features: Showing field data elevation, Main tide components (K1, O1, M2, dan S2), tide type, and tide prediction for one day or one week. Based on study cases in 3 stations from 3 zones in Indonesia: western, center, and eastern, Bangka waters (western zone) has diurnal type, Jepara station (central zone) has mixed diurnal type, and Banda (eastern zone) has mixed semidiurnal type. Results from this application has accuracy, consecutively from the smallest, are Jepara, Banda, and Bangka, which sorted from RMSE between prediction data and field data which has value of 0,060 m, 0,062 m, and 0,125 m.
format Final Project
author Yoga Pradhika, Chaula
spellingShingle Yoga Pradhika, Chaula
SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
author_facet Yoga Pradhika, Chaula
author_sort Yoga Pradhika, Chaula
title SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
title_short SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
title_full SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
title_fullStr SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
title_full_unstemmed SISTEM INFORMASI PASANG SURUT AIR LAUT BERBASIS ANDROID DI INDONESIA
title_sort sistem informasi pasang surut air laut berbasis android di indonesia
url https://digilib.itb.ac.id/gdl/view/45351
_version_ 1821999338000220160