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Analysis of the Application of the Integrated Catastrophe Risk Model Method for the Flood Insurance Program Afifah, Nur; Joebaedi, Khafsah; Ismail, Muhammad Iqbal Al-Banna
International Journal of Global Operations Research Vol. 3 No. 4 (2022): International Journal of Global Operations Research (IJGOR), November 2022
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i4.188

Abstract

As the flood rises continue to grow, well-designed insurance programs are becoming an important instrument in flood risk management. One of the obstacles in the flood insurance program is the method used to calculate the premium value. This thesis refers to the Integrated Catastrophe Risk Model (ICRM) which consists of two probability events and stochastic optimization procedures with respect to observation of site-specific risk. The application of the model is illustrated in the study area simulation data. In this thesis, analysis of various aspects of trade-off, new ex-post variables, opportunity occurrence 1 and 2 and minimization of loss function. From the results of research based on these four aspects it can be concluded that the use of Integrated Catastrophe Risk Model method in the optimal flood insurance program.
Reliability Study of Oil and Gas Pipelines Using the Normal Distribution Method Suhendi Syafei, Nendi; Hidayat, Darmawan; Rohadi, Nanang; Joebaedi, Khafsah; Supriyana, Eddy
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 22 No. 1 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.147 KB) | DOI: 10.24036/eksakta/vol22-iss1/246

Abstract

Gas and oil pipelines have decreased function and damaged due to corrosion. This research aims to analyze and predict the life of gas and oil pipelines within a certain time span. The method used is a reliability study using a normal distribution. The analysis results show it is predicted that the pipe reliability probability in 2030 will decrease and the probability of failure will increase. The probability of reliability is 0.843572786617270 and the probability of failure is 0.156427213382730 in 2030. With the long distance pipeline, maximum depth as shown in the attachment the average thick remain is 0.2200 inches, the average corrotion rate is 0.0317 mm/year, with prediction thick remain from 2000 to 2030 in inches.