Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua
| العنوان: | Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua |
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| المؤلفون: | Youngjo Lee, Robert Kurniawan, Rung-Ching Chen, Bens Pardamean, Prana Ugiana Gio, Toni Toharudin, Rezzy Eko Caraka |
| المصدر: | IEEE Access IEEE Access, Vol 9, Pp 1972-1986 (2021) |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 010504 meteorology & atmospheric sciences, General Computer Science, non-natural hazard, vulnerability, 0211 other engineering and technologies, Vulnerability, 02 engineering and technology, Latent variable, natural hazard, 01 natural sciences, social hazard, Latent cluster, Natural hazard, General Materials Science, Natural disaster, 0105 earth and related environmental sciences, 021110 strategic, defence & security studies, Actuarial science, General Engineering, Hazard, Social protection, Household income, millennial, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Social vulnerability |
| الوصف: | 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. |
| تدمد: | 2169-3536 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4066d4531a27e12627cf4c9e907d0c2fTest https://doi.org/10.1109/access.2020.3038883Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....4066d4531a27e12627cf4c9e907d0c2f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21693536 |
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