Volume 33, Issue 2 (IJIEPR 2022)                   IJIEPR 2022, 33(2): 1-12 | Back to browse issues page

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Hikmah Y, Yuristamanda V, Rosianal Hikmah I, Amelia Safitri K. Probit Modeling of Indonesian Economic and Social Factors to The Interest in Purchasing Flood-Impacted Insurance Products. IJIEPR 2022; 33 (2) :1-12
URL: http://ijiepr.iust.ac.ir/article-1-1478-en.html
Probit Modeling of Indonesian Economic and Social Factors to The Interest in Purchasing Flood-Impacted Insurance Products
Yulial Hikmah 1, Vindaniar Yuristamanda2 , Ira Rosianal Hikmah3 , Karin Amelia Safitri2
1- Vocational Education Program, Universitas Indonesia, Depok, Indonesia , yulialhikmah47@ui.ac.id
2- Vocational Education Program, Universitas Indonesia, Depok, Indonesia
3- Politeknik Siber dan Sandi Negara, Bogor, Indonesia
Abstract:   (2656 Views)
Flood is a serious problem that can occur in many countries in the world. For tropical countries such as Indonesia, flooding is generally caused by rainfall that is high above normal. Almost all cities in Indonesia experience flooding every year, including DKI Jakarta, the capital city of Indonesia. Based on data from the National Disaster Management Agency (BNPB) in 2020, East Jakarta is a city that is prone to flooding. Considering that there are so many losses caused by flooding, it is necessary to have a disaster mitigation effort to minimize the possible risk of flooding. One of the risk mitigations due to natural disasters is to buy insurance products. However, not all people buy flood-impacted insurance products because of their economic and social factors. This research aims to create a model with Probit Regression Model to determine the factors that influence Indonesian's interest to buy flood-impacted insurance products. Furthermore, this study conducts a test. The results show that from the 19 factors used, eight factors significantly affect Indonesia's interest in purchasing flood-impacted insurance products. In the end, this research calculates the level of model accuracy and obtained 84.3%.
 
Keywords: Flood, Risk Mitigation, Insurance, Probit Regression Model
Full-Text [PDF 1129 kb]   (1361 Downloads)    
Type of Study: Research | Subject: Operations Research
Received: 2022/04/18 | Accepted: 2022/05/11 | Published: 2022/06/30
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