Prediction of Patient Visit Rates Using the Monte Carlo Method

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Published: Apr 23, 2022
DOI: https://doi.org/10.37034/jidt.v4i2.202

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Aldo Eko Syaputra
Universitas Adzkia
Yofhanda Septi Eirlangga
Universitas Adzkia

Abstract

The increase in the number of patient visits that often occur at community health centers / puskesmas has caused some activities in health services to be slightly hampered, disturbed and less than optimal, resulting in some patients not getting comprehensive services and some even waiting too long in queues. The purpose of this study was to provide information to the health center about the prediction of an increase in the number of patient visits that might occur in the future. The data used in this study were patient visit data at the IX Koto Sungai Lasi health center from 2019, 2020, and 2021 to extract the data that was obtained. The method used in this study was the Monte Carlo method. The results of the study can predict patient visit rates in the following years with an average accuracy rate of 91%, in 2020, and 85% in 2021, the results of these predictions can be a reference for the Puskesmas to take action and policies to improve quality of service at the Puskesmas.

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Syaputra, A. E., & Eirlangga, Y. S. (2022). Prediction of Patient Visit Rates Using the Monte Carlo Method. Jurnal Informasi Dan Teknologi, 4(2), 97-102. https://doi.org/10.37034/jidt.v4i2.202
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2022, Vol. 4, No. 2
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Articles
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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