Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu

The increasing of sea level due to climate change has been focused many research activities in order to know the coastal response to the change, and determine the important variables which have contribution to the coastal change. This paper presents a method for integrating Coastal Vulnerability Ind...

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Main Authors: Faizal Kasim, Vincentius P. Siregar
Format: Article
Language:English
Published: Muhammadiyah University Press 2012-07-01
Series:Forum Geografi
Subjects:
Online Access:http://journals.ums.ac.id/index.php/fg/article/view/5051
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spelling doaj-b7d5147a0f4a429fb5460c418e96b6982020-11-24T22:32:39ZengMuhammadiyah University PressForum Geografi0852-06822460-39452012-07-01261657410.23917/forgeo.v26i1.50513543Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai IndramayuFaizal Kasim0Vincentius P. Siregar1Universitas Negeri GorontaloInstitut Pertanian BogorThe increasing of sea level due to climate change has been focused many research activities in order to know the coastal response to the change, and determine the important variables which have contribution to the coastal change. This paper presents a method for integrating Coastal Vulnerability Index (CVI), Multi Criteria Analysis (MCA) method and Geographic Information-System (GIS) technology to map the coastal vulnerability. The index is calculated based-on six variables: coastal erosion, geomorphology, slope, significant wave height, sea level change and tidal range. Emphasize has been made to the methodological aspect, essentially which is linked to: (i) the use of GIS technique for constructing, interpolation, filtering and resampling the data for shoreline grid, (ii) the standardization each rank of variables (0-1) and the use of several percentile (20%, 40%, 60%, and 80%) for each rank score, and (iii) the use of variable’s rank to map the relative (local) and standard (global) vulnerability of the coastline. The result show that for local, the index consist of four categories: very high (19.61%), high (68.63%), moderate (1,96%), and low (9.80%). Meanwhile, for global level, the index is constantly in low category.http://journals.ums.ac.id/index.php/fg/article/view/5051coastal vulnerabilityintegrated approachCVI-MCAindex relativeglobal
collection DOAJ
language English
format Article
sources DOAJ
author Faizal Kasim
Vincentius P. Siregar
spellingShingle Faizal Kasim
Vincentius P. Siregar
Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
Forum Geografi
coastal vulnerability
integrated approach
CVI-MCA
index relative
global
author_facet Faizal Kasim
Vincentius P. Siregar
author_sort Faizal Kasim
title Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
title_short Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
title_full Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
title_fullStr Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
title_full_unstemmed Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu
title_sort penilaian kerentanan pantai menggunakan metode integrasi cvi-mca studi kasus pantai indramayu
publisher Muhammadiyah University Press
series Forum Geografi
issn 0852-0682
2460-3945
publishDate 2012-07-01
description The increasing of sea level due to climate change has been focused many research activities in order to know the coastal response to the change, and determine the important variables which have contribution to the coastal change. This paper presents a method for integrating Coastal Vulnerability Index (CVI), Multi Criteria Analysis (MCA) method and Geographic Information-System (GIS) technology to map the coastal vulnerability. The index is calculated based-on six variables: coastal erosion, geomorphology, slope, significant wave height, sea level change and tidal range. Emphasize has been made to the methodological aspect, essentially which is linked to: (i) the use of GIS technique for constructing, interpolation, filtering and resampling the data for shoreline grid, (ii) the standardization each rank of variables (0-1) and the use of several percentile (20%, 40%, 60%, and 80%) for each rank score, and (iii) the use of variable’s rank to map the relative (local) and standard (global) vulnerability of the coastline. The result show that for local, the index consist of four categories: very high (19.61%), high (68.63%), moderate (1,96%), and low (9.80%). Meanwhile, for global level, the index is constantly in low category.
topic coastal vulnerability
integrated approach
CVI-MCA
index relative
global
url http://journals.ums.ac.id/index.php/fg/article/view/5051
work_keys_str_mv AT faizalkasim penilaiankerentananpantaimenggunakanmetodeintegrasicvimcastudikasuspantaiindramayu
AT vincentiuspsiregar penilaiankerentananpantaimenggunakanmetodeintegrasicvimcastudikasuspantaiindramayu
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