Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant

This paper discusses the design of computer programs that is able to discern the characteristics description of water surface elevation data in Manggarai water gate, which variable is the most influential on the water surface elevation model and find a proper flood forecasting model using multivaria...

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Main Author: Ngarap Im Manik
Format: Article
Language:English
Published: Bina Nusantara University 2012-06-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2402
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author Ngarap Im Manik
author_facet Ngarap Im Manik
author_sort Ngarap Im Manik
collection DOAJ
description This paper discusses the design of computer programs that is able to discern the characteristics description of water surface elevation data in Manggarai water gate, which variable is the most influential on the water surface elevation model and find a proper flood forecasting model using multivariate autoregressive model. The result of this study is able to assist the water gate officer in delivering early warning, prevention and anticipation of flood countermeasure. The forecast equation model obtained is Yt = 109,.7828 + 0,9291 CHt-6 – 24,484 T t-2 – 0,06245 PM t-2 + 1,4706 KB t-2 in which temperature and water surface elevation is a variable that owns the strongest correlation. This variable owns negative correlation which means that if the temperature falls, the water levels will rise. The coefficient of determination has a value of R2 = 0.4056 and the Durbin Watson statistics for DW = 0.7429.
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spelling doaj.art-c83bde4ccc894251b345139b73fe970c2023-09-02T22:47:56ZengBina Nusantara UniversityComTech2087-12442476-907X2012-06-013118620310.21512/comtech.v3i1.24021817Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi MultivariantNgarap Im Manik0Bina Nusantara UniversityThis paper discusses the design of computer programs that is able to discern the characteristics description of water surface elevation data in Manggarai water gate, which variable is the most influential on the water surface elevation model and find a proper flood forecasting model using multivariate autoregressive model. The result of this study is able to assist the water gate officer in delivering early warning, prevention and anticipation of flood countermeasure. The forecast equation model obtained is Yt = 109,.7828 + 0,9291 CHt-6 – 24,484 T t-2 – 0,06245 PM t-2 + 1,4706 KB t-2 in which temperature and water surface elevation is a variable that owns the strongest correlation. This variable owns negative correlation which means that if the temperature falls, the water levels will rise. The coefficient of determination has a value of R2 = 0.4056 and the Durbin Watson statistics for DW = 0.7429.https://journal.binus.ac.id/index.php/comtech/article/view/2402flood forecasting, Manggarai water gate, multivariate autoregressive model
spellingShingle Ngarap Im Manik
Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
ComTech
flood forecasting, Manggarai water gate, multivariate autoregressive model
title Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
title_full Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
title_fullStr Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
title_full_unstemmed Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
title_short Perancangan Program Peramalan Kanal Banjir Barat Jakarta Menggunakan Autoregresi Multivariant
title_sort perancangan program peramalan kanal banjir barat jakarta menggunakan autoregresi multivariant
topic flood forecasting, Manggarai water gate, multivariate autoregressive model
url https://journal.binus.ac.id/index.php/comtech/article/view/2402
work_keys_str_mv AT ngarapimmanik perancanganprogramperamalankanalbanjirbaratjakartamenggunakanautoregresimultivariant