The Estimated Value of Losses and Insurance Due to Citarum River Flooding

Iin Irianingsih; Dwi Susanti; Alit Kartiwa; Forman Ivana S.S.S.

doi:10.46336/ijbesd.v1i1.14

The Estimated Value of Losses and Insurance Due to Citarum River Flooding

Iin Irianingsih, Dwi Susanti, Alit Kartiwa, Forman Ivana S.S.S.

Abstract

Flooding in Citarum always happens in Bandung District which causes loss of property, household damage, diseases moreover decease. The government provides aid for flood victims, but the help is not cover losses. In this circumstance, people need insurance. This study aims to set up flood insurance based on economic conditions, areas, and losses due to flooding. To find out the conditions, interviewed the village chief of Baleendah. The analytical methods used are linear regression analysis and analysis method mix. Linear regression analysis was used to estimate flood losses that will serve as the sum insured in the form of insurance products. Analysis mixture consisting of identification areas, conditions, and alternative insurance models used to establish the right flood insurance for Baleendah. Results show the estimation of flood losses and flood insurance appropriate to the condition of Baleendah.

Keywords

Flooding, losses, flood insurance

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References

Bártováa, H.&Karel, H. (2015).Foreign Approaches to Cover Uninsurable Risks Offering Opportunities for the Czech Insurance Market.Procedia Economics and Finance,Issue 25, 615-621.

Bortoluzzo, A.B., D. P. Claro, M. A. L. Caetano, R. & Artes. (2011). Estimating Total Claim Size in the Auto Insurance Industry: a Comparison between Tweedie and Zero-Adjusted Inverse Gaussian Distribution. BAR, Curitiba, 8 (1), 37-47.

Dickson, D.C. (2005). Insurance Risk and Ruin. Cambridge University Press.

Djuric, Z.(2013).Collective Risk Model in Non-Life Insurance, Economic Horizons, May-August 2013, 15(2) 167–175.

Setiadi, H.A. (2012). Identification of Building Damage and Infrastructure Function due to Citarum Flood in Bandung Regency. Research Paper. Pusat Litbang Permukiman, Balitbang, Kementerian Pekerjaan Umum, 51-64.

Mahmoudvand, R.,& Edalati, A. (2009). On the Distribution of Discounted Collective Risk Model. Journal of Statist. Res. Iran 6, 193-207.

Nino, S. &Paolo, C.G.(2010, March 7-12th). A Collective Risk Model for Claims Reserve Distribution. In29th International Congress of Actuaries (pp. 1-22). ICA 2010.

Sidi, P., Mamat, M., Sukono, & Supian, S. (2017). Supply and demand analysis for flood insurance by using logistic regression model: case study at Citarum watershed in South Bandung, West Java, Indonesia. IOP Conf. Series: Materials Science and Engineering 166 (2017) 012002.

Sidi, P., Mamat, M., Sukono, Supian, S., & Putra, A.S. 2018. Demand analysis of flood insurance by using logistic regression model and genetic algorithm. IOP Conf. Series: Materials Science and Engineering, 332 (2018), 012053.

Sukono, Nahar, J., Putri, F.T., Subiyanto, Mamat, M., & Supian, S. (2017). Estimation of Outstanding Claims Reserving Based on Inflation Risk on Car Insurance Companies by Using the Bootstrap Method. Far East Journal of Mathematical Sciences (FJMS), 102(4), 687-706.

Sukono, Hidayat, Y., Suhartono, Sutijo, B., Bon, A.T.B., & Supian, S. (2016). Indonesian Financial Data Modeling and Forecasting by Using Econometrics Time Series and Neural Network. Global Journal of Pure and Applied Mathematics, 12 (4) 3745–3757.

Sukono, Riaman, Lesmana, E., Wulandari, R., Napitupulu, H., & Supian, S. (2018). Model Estimation of Claim Risk and Premium for Motor Vehicle Insurance by Using Bayesian Method. IOP Conf. Series:Materials Science and Engineering,300(2018)012027.

DOI: https://doi.org/10.46336/ijbesd.v1i1.14