Reagent Stock Prediction Using Monte Carlo Method At Populer Clinical Laboratory Surabaya

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Farah Dibba
Wiwiet Herulambang
Fardanto Setyatama

Abstract

Prediction is important as decision are made earlier. Information are needed before prediction is optimally
done. Company operational supply can be predicted and depicted in computerized process. By doing so, a decision
based on past probabilities could be made efficiently. In the simulation, stock of goods is important. Reagent stock
prediction could be done by using Monte Carlo method. Monte Carlo method is one of a tool that can be used to
analyze common uncertainty in reagent stock procurement. The result of Monte Carlo prediction can help company
to determine the future amount of reagent stock. In this research, the forecast results 95,83% accuracy by using 2022
annual stock data.

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How to Cite
Dibba, F. ., Herulambang, W. ., & Setyatama, F. . (2022). Reagent Stock Prediction Using Monte Carlo Method At Populer Clinical Laboratory Surabaya. JEECS (Journal of Electrical Engineering and Computer Sciences), 7(2), 1329–1336. https://doi.org/10.54732/jeecs.v7i2.27
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