Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua

被引:25
作者
Caraka, Rezzy Eko [1 ,2 ,3 ,7 ]
Lee, Youngjo [1 ,2 ]
Chen, Rung Ching [3 ]
Toharudin, Toni [4 ]
Gio, Prana Ugiana [5 ]
Kurniawan, Robert [6 ]
Pardamean, Bens [7 ,8 ]
机构
[1] Seoul Natl Univ, Coll Nat Sci, Lab Hierarch Likelihood, Res Basic Sci, Seoul 08826, South Korea
[2] Seoul Natl Univ, Dept Stat, Coll Nat Sci, Seoul 08826, South Korea
[3] Chaoyang Univ Technol, Dept Informat Management, Coll Informat, Taichung 41349, Taiwan
[4] Univ Padjadjaran, Fac Math & Nat Sci, Dept Stat, Bandung 45363, Indonesia
[5] Univ Sumatera Utara, Fac Math & Nat Sci, Dept Math, Kota Medan 20222, Indonesia
[6] STIS Stat Polytechn, Jakarta 13330, Indonesia
[7] Bina Nusantara Univ, Bioinformat & Data Sci Res Ctr, Jakarta 11480, Indonesia
[8] Bina Nusantara Univ, Comp Sci Dept, Jakarta 11480, Indonesia
来源
IEEE ACCESS | 2021年 / 9卷
基金
新加坡国家研究基金会;
关键词
Latent cluster; millennial; natural hazard; non-natural hazard; social hazard; vulnerability; MANAGEMENT; COVID-19; INDEX; RISK; VALIDATION; INDONESIA; MORTALITY; IMPACT;
D O I
10.1109/ACCESS.2020.3038883
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1972 / 1986
页数:15
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