SIMULATION OF NEW STUDENT PREDICTION AMOUNT USING THE MONTECARLO METHOD

Novica Irawati, Rika Nofitri

Abstract


With this prediction simulation system the number of new students is expected predict the number of new students entering each of the coming years. Implement the method Monte Carlo and also apply this prediction simulation application while simultaneously testing the level of accuracy and the efficiency of the data generated using this method. Data collection is carried out by means of directly observing objects by sampling data that already existed in 2015 - 2019 to be able to predict the following year. The results of testing this method are of how many number of new students each year and the level of accuracy will be seen. It can be concluded that the use of the Monte Carlo Method in this study is as a method that can be provides information on the maximum profit generated through a number experiment random. The more experiments carried out, the better the results.

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References


M. K. Sharma, “MONTE CARLO SIMULATION APPLICATIONS FOR CONSTRUCTION,” vol. 11, no. 2, pp. 88–100, 2020.

R. Shukla, N. P. Patel, H. P. Yadav, and V. Kaushal, “A Monte Carlo simulation study on the effectiveness of electron filters designed for telecobalt radiation therapy treatment,” vol. 17, no. 2, 2019.

M. B. Giles, “Multilevel Monte Carlo methods,” 2018.

W. Liu, B. Chen, and R. A. Swartz, “Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition,” vol. 2013, 2013.

M. Monte et al., “Universitas brawijaya fakultas teknik malang 2017,” 2017.




DOI: https://doi.org/10.33330/icossit.v1i1.894

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