采用基于Web的单次移动平均方法实现产品爬虫系统应用程序

Eko siswanto, Eka Satria Wibawa, Zaenal Mustofa
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引用次数: 5

摘要

预测是基于历史时间序列的几个预测变量对未来需求的估计,或者是使用已经拥有的历史数据(过去数据)来使用该模型并使用该模型来估计未来条件的过程。“Ivori迷你市场中小企业集团”是销售生活必需品的迷你市场。象牙迷你市场提供的商品不是只集中在一种商品上,而是包括所有类型的商品。科特迪瓦迷你市场经常缺货,因为没有库存计划。制作此应用程序的主要目的是帮助员工确定下个月必须提供的库存计划。而用于进行这种预测的方法是单一移动平均线,这是预测中的时间序列方法之一。单移动平均线是一种预测方法,它通过收集一组观测值,寻找平均值作为对未来时期的预测。这种预测的结果是预测下个月将发生的销售数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Aplikasi Sistem Peramalan Persedian Barang Menggunakan Metode Single Moving Average Berbasis Web
Forecasting is an estimate of future demand based on several forecasting variables based on historical time series or a process of using historical data (past data) that has been owned to use this model and use this model to estimate future conditions.The Ivori mini market SME group is known to be a mini market that sells daily necessities. The goods provided by the ivori mini market are not focused on only one type of goods, but include all types of goods. Ivori mini market often runs out of stock because there is no inventory planning. The main purpose of making this application is to assist employees in determining inventory planning that must be provided next month. While the method used to make this forecast is a single moving average, one of the time series methods in forecasting. Single Moving Average is a forecasting method that is done by collecting a group of observed values, looking for the average value as a forecast for the future period. The result of this forecasting is to predict the number of sales that will occur in the coming month.
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