Data Mining Analysis In Minimizing Company Losses Using Fuzzy Time Series Method

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Published Sep 13, 2024
https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v8i1.5474
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Vol. 8 No. 1 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER

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Muhardi Saputra
Universitas Prima Indonesia
Jones Jones
Sistem Informasi
Wily Anderson
Universitas Prima Indonesia
Lindawati Ginting
Universitas Prima Indonesia

Abstract

Losses are the most avoided by all business entities in this case the research obtained a research study at PT. Sumatera Sarana Sekar Sakti. The company suffered a big loss in the expenditure / spending section that was not managed properly. The existence of excess funds or shortages in each company's expenditure is a form of loss, not only in the form of material but even immaterial. Therefore, this research conducts an analysis by generating data predictions so that a value is obtained that will minimize company losses because it provides the right and efficient funds. The method used in prediction is Fuzzy Time Series. It is a new category of methods that have been widely used in various studies because they produce good predictive values. In this study, the Fuzzy Time Series method produces 0.82% error rate from data analysis of 1875 company expenditure transactions. Measurement of the prediction error rate using Mean Absolute Percentage Error which is often called MAPE. It is a measurement that is often used in various studies with data prediction categories.

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How to Cite
Saputra, M., Jones, J., Anderson, W., & Ginting, L. (2024). Data Mining Analysis In Minimizing Company Losses Using Fuzzy Time Series Method. Jurnal Sistem Informasi Dan Ilmu Komputer, 8(1), 387–406. https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v8i1.5474

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