Sistem Informasi Peramalan Persediaan Barang Menggunakan Metode SES Dan DES

Ratih Yulia Hayuningtyas
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引用次数: 2

Abstract

Abstract: Sales is an activity in selling products that provide information about inventory. Arga Medical is a shop engaged in the sale of medical equipment, many of sales transactions in the Arga Medical will affect the inventory. Problems in the Arga Medical is predicting many of product that must available for the next month. Therefore this research makes inventory information forecasting system using Single Exponential Smoothing and Double Exponential Smoothing method. This inventory forecasting information system will result a inventory forecasting for next month. Single Exponential Smoothing Method gives equal weight to each data while Double Exponential Smoothing method is smoothing twice. The Data used in this research is the sales data during 2016. Both of these methods resulted inventory forecasting in the next month is Januari 2017 of 52 with Single Exponential Smoothing and 60 with Double Exponential Smoothing. Each method has a Mean Square Error value the smallest error value is the best method for forecasting inventory. Keywords: Forecasting, Inventory, Single Exponential Smoothing, Double Exponential Smoothing.
物价信息系统使用SES和DES方法
摘要:销售是一种销售产品并提供库存信息的活动。阿伽医疗是一家从事医疗器械销售的店铺,很多销售交易在阿伽医疗都会影响到库存。阿尔加医疗公司的问题预测许多产品必须在下个月上市。为此,本研究采用单指数平滑法和双指数平滑法构建库存信息预测系统。这个库存预测信息系统将得出下个月的库存预测。单指数平滑法对每个数据的权重相等,双指数平滑法对每个数据进行两次平滑。本研究使用的数据为2016年的销售数据。两种方法均得出2017年1月的库存预测结果,单指数平滑法为52,双指数平滑法为60。每种方法都有一个均方误差值,误差值最小的方法是预测库存的最佳方法。关键词:预测,库存,单指数平滑,双指数平滑。
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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