Determination of the Contribution of the Reserve Fund for Flood Natural Disaster Management in the DKI Jakarta Region

https://doi.org/10.47194/ijgor.v2i4.88

Authors

  • Dwita Safira Nugraha Mathematics Undergraduate Study Program, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran
  • Dwi Susanti Mathematics Undergraduate Study Program, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran
  • Sukono Sukono Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran

Keywords:

Flood disaster, losses, Poisson distribution, Log-Normal distribution, risk model, estimated contribution amount

Abstract

Floods are natural disasters that are quite difficult to predict. As a result, there are many losses both materially, morally and even to the point of taking lives. In Indonesia, one of the areas that experience flooding the most is DKI Jakarta. In early 2020, flooding was the biggest cause of loss in the region. The role of the people of DKI Jakarta is very important in collecting contributions to the reserve fund for disaster emergency response. Therefore, this study aims to estimate the amount of reserve fund contributions for community-based flood disaster management in the DKI Jakarta area based on the Collective Risk Model method approach, using Poisson and Log-Normal distributions, including parameter estimates  and (μ,σ) , resulting in an estimate of the expected magnitude of the risk of loss. Based on these expectations, the contribution amount can be calculated using the Individual and Collective Risk Model. The result of this research is the contribution of funds which is calculated based on the principle of expected value

References

Dickson, David C. M. (2005). Insurance Risk and Ruin. Cambridge : Cambridge University Press.

Fikhri, M. Yanuar, F. Asdi, Y. (2014). Pendugaan Parameter dari Distribusi Poisson dengan Menggunakan Metode Maximum Likelihood Estimation (MLE) dan Metode Bayes. Jurnal Matematika Unand, 3 (4), 152-159.

Hogg, R. V., McKean, J. W., & Craig, A. T. (2013). Introduction to Mathematical Statistics (7th edition). Boston: Pearson Education, Inc.

Käärik, Meelis. (2013). Non-Life Insurance Mathematics. Tartu: University of Tartu. Tersedia dalam DSpace Universitas Tartuensis.

Neonisa, O. (2021). Estimasi Parameter Distribusi Log-Normal Menggunakan Metode Maksimum Likelihood dan Metode Bayes. Diakses pada 5 Oktober 2021, dari http://skripsi.undana.ac.id/index.php?p=show_detail&id=1468&keywords=.

Published

2021-11-03