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Journal of Theoretical and Computational Studies


Nursinta A. Wahanani, Anik Purwaningsih and Topan Setiadipura

Pusat Pengembangan Informatika Nuklir BATAN, Kawasan Puspiptek Serpong Gedung 71 (lt. 1), Tangerang 15314, Indonesia

The assessment and presentation of the effects of uncertainty are now widely recognized as important parts of anlysis for complex system. Thus, uncertainty analysis is an important tools for a wide area of application, from the nuclear reactor waste analysis to economic calculation. Sampling-based method is one of the powerful method for the uncertainty analysis. There are several steps needed to run an uncertainty analysis,(i) construction of distribution to characterize subjective uncertainty, (ii) sampling procedures, (iii) propagation of uncertainty through model, (iv) display of uncertainty in model prediction. In this paper, development of the Latin Hypercube Sampling (LHS) module at PPIN-BATAN as the sampling procedure in the uncertainty analysis is reported. The LHS module is able to demonstrate the stability of the LHS method in estimating the cumulative density function. This development is a platform for further advance sampling analysis method, and a step to build an in-house complete tool of uncertainty analysis. Review of the LHS method and its superior to standard random sampling and importance sampling is also discussed.

Publication : J. Theor. Comput. Stud. Proceeding Supplement 8 (2009) 0408 » page of Content
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Full paper : open license in format PDF (214.797 byte)
Contact : Nursinta A. Wahanani
Additional info : 3 pages, language English » accessed 18.133 times

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