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Home > Articles

Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo

  • Hendro Zalmadani
    Universitas Putra Indonesia YPTK Padang

  • Julius Santony
    Universitas Putra Indonesia YPTK Padang

  • Yuhandri Yunus
    Universitas Putra Indonesia YPTK Padang


DOI: https://doi.org/10.37034/infeb.v2i1.11
Keywords: Production Predictions, Monte Carlo, Red Brick, UMKM, Production Cost

Abstract

The availability of red bricks on the market is a problem that must be addressed. Because the availability of red brick affects sales revenue. The purpose of this research in the Small and Medium Micro Business of the Red Brick City of Pariaman is to predict the production of red bricks to find out income and find out the next production. So this research can make it easier for business owners to find out how much it will cost for the next production cost. The data used in this study are production data from 2017 to 2019 which are processed using the Monte Carlo method. Based on the results of production prediction testing that has been done, it is found that the average accuracy is 90%. With the results of a high degree of accuracy, the application of the monte carlo method is considered to be able to predict production annually. Making it easier for business owners to determine the costs incurred in the next production process.

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Published
2020-03-31
Issue
Vol. 2, No. 1 (March 2020)
Section
Articles
How to Cite
Zalmadani, H., Santony, J., & Yunus, Y. (2020). Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 2(1), 13-20. https://doi.org/10.37034/infeb.v2i1.11
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.



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       Creative Commons License
       This work is licensed under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0).