Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua
The diagnosis of a hazard can be classified into three key domains, particularly regarding the natural hazards, non-natural hazards and social hazards. The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite sinc...
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Veröffentlicht in: | IEEE access 2021, Vol.9, p.1972-1986 |
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container_end_page | 1986 |
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container_start_page | 1972 |
container_title | IEEE access |
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creator | Caraka, Rezzy Eko Lee, Youngjo Chen, Rung Ching Toharudin, Toni Gio, Prana Ugiana Kurniawan, Robert Pardamean, Bens |
description | The diagnosis of a hazard can be classified into three key domains, particularly regarding the natural hazards, non-natural hazards and social hazards. The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide solutions and make people feel secure and pleasant. The purpose of this study is to calculate the location-based social vulnerability in West Papua involves the components of Information, Technology, and Communication, Food Access, Natural Disaster, Social Protection Statement, Access to Financial Services, Description of the source of household income, Number of event floods, number of earthquake disasters, COVID-19 death cases, and Number of incidents of protest which are obtained from the National Socio-Economic Survey (SUSENAS) official statistics with the main focus of research on the millennial generation. After employ clustering of variables around latent variables with connectivity value of 3.9400794, Dunn 0.9373, and Silhouette 0.6333. Each factor provide a sign indicating a positive or negative effect on social vulnerability and finally a location cluster will be formed based on the index obtained. |
doi_str_mv | 10.1109/ACCESS.2020.3038883 |
format | Article |
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The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide solutions and make people feel secure and pleasant. The purpose of this study is to calculate the location-based social vulnerability in West Papua involves the components of Information, Technology, and Communication, Food Access, Natural Disaster, Social Protection Statement, Access to Financial Services, Description of the source of household income, Number of event floods, number of earthquake disasters, COVID-19 death cases, and Number of incidents of protest which are obtained from the National Socio-Economic Survey (SUSENAS) official statistics with the main focus of research on the millennial generation. After employ clustering of variables around latent variables with connectivity value of 3.9400794, Dunn 0.9373, and Silhouette 0.6333. 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Each factor provide a sign indicating a positive or negative effect on social vulnerability and finally a location cluster will be formed based on the index obtained.</description><subject>Clustering</subject><subject>Earthquakes</subject><subject>Floods</subject><subject>Hazards</subject><subject>Indexes</subject><subject>Latent cluster</subject><subject>Mathematical analysis</subject><subject>millennial</subject><subject>Millennials</subject><subject>Natural disasters</subject><subject>natural hazard</subject><subject>non-natural hazard</subject><subject>social hazard</subject><subject>Sociology</subject><subject>Tsunami</subject><subject>Urban areas</subject><subject>vulnerability</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNplUV1r3DAQNCWFhjS_IC-CvsaX1ZctPx4mTQJHGrg0fRQreV10ONZVtilJ_3x9cUgDXT3szrAzkpgsO-Ow4hyqi3VdX263KwECVhKkMUZ-yI4FL6pcalkcvZs_ZafDsIO5zEzp8jj7U3fTMFJi6xSnvmEbHKkf2QOmgK4j1sbEHqaup4QudGF8YvfxN6ZmYLc4Tgk7do3PB3zObmOf_0duow__MAs9-0HDyO5wP-Hn7GOL3UCnr_0k-_718r6-zjffrm7q9Sb3qlRj7skZJbR3xMtCOPROAEgsCFzFeQnKgW5K5VtlUArdCl-A0hIbgdojGXmS3Sy-TcSd3afwiOnJRgz2hYjpp8U0Bt-RhRadc1K5AkslCA21UpVQKV6BcKqdvb4sXvsUf03zV-wuTqmfn2-FKnU1Hw3zlly2fIrDkKh9u5WDPYRml9DsITT7GtqsOltUgYjeFJUohNFc_gU4lJNr</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Caraka, Rezzy Eko</creator><creator>Lee, Youngjo</creator><creator>Chen, Rung Ching</creator><creator>Toharudin, Toni</creator><creator>Gio, Prana Ugiana</creator><creator>Kurniawan, Robert</creator><creator>Pardamean, Bens</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide solutions and make people feel secure and pleasant. The purpose of this study is to calculate the location-based social vulnerability in West Papua involves the components of Information, Technology, and Communication, Food Access, Natural Disaster, Social Protection Statement, Access to Financial Services, Description of the source of household income, Number of event floods, number of earthquake disasters, COVID-19 death cases, and Number of incidents of protest which are obtained from the National Socio-Economic Survey (SUSENAS) official statistics with the main focus of research on the millennial generation. After employ clustering of variables around latent variables with connectivity value of 3.9400794, Dunn 0.9373, and Silhouette 0.6333. Each factor provide a sign indicating a positive or negative effect on social vulnerability and finally a location cluster will be formed based on the index obtained.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3038883</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-1812-7478</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Clustering Earthquakes Floods Hazards Indexes Latent cluster Mathematical analysis millennial Millennials Natural disasters natural hazard non-natural hazard social hazard Sociology Tsunami Urban areas vulnerability |
title | Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua |
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