Application of Holt-Winter Exponential Smoothing Method to Design a Drug Inventory Prediction Application in Private Health Units

Cut Susan Octiva, Israkwaty, Uli Wildan Nuryanto, Handry Eldo, Abdul Tahir
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引用次数: 4

Abstract

This research aims to see how to design a drug supply prediction application using the Holt-Winter Exponential Smoothing method. The collection methods used in the research are as follows: observation, interviews. The prototyping system development method includes several important stages in designing research applications. The first stage is communication. After that, the Quick Plan stage. Construction of prototype stages. The final stage, deployment delivery and feedback, is the phase of system use by users. In addition, the team also conducts regular system maintenance to ensure optimal performance. These stages together form an iterative process for developing research applications using the prototyping method. Based on the research results, it was found that the test results for the drugs amoxicillin, cefixime, paracetamol, and CTM showed that the MAPE value was less than 10% for these four drugs, which means that the predictive value has quite high accuracy. So it can be concluded that the Holt Winter Exponential Smoothing algorithm can be well implemented to predict drug supplies.
应用霍尔特-温特指数平滑法设计私立医疗机构药品库存预测应用程序
本研究旨在探讨如何使用霍尔特-温特指数平滑法设计药品供应预测应用程序。研究中使用的收集方法如下:观察、访谈。原型系统开发方法包括设计研究应用程序的几个重要阶段。第一个阶段是沟通。之后是快速计划阶段。构建原型阶段。最后是部署交付和反馈阶段,即用户使用系统阶段。此外,团队还定期进行系统维护,以确保最佳性能。这些阶段共同构成了使用原型法开发研究应用程序的迭代过程。根据研究结果发现,对阿莫西林、头孢克肟、扑热息痛和 CTM 药物的测试结果显示,这四种药物的 MAPE 值均小于 10%,这意味着预测值具有相当高的准确性。因此可以得出结论,霍尔特-温特指数平滑算法可以很好地用于预测药品供应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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