对固定移动平均方法和单次平滑测定药物供应的实施比较

I. G. B. Aprilyanta, Ariesta Lestari, Sherly Christina
{"title":"对固定移动平均方法和单次平滑测定药物供应的实施比较","authors":"I. G. B. Aprilyanta, Ariesta Lestari, Sherly Christina","doi":"10.33020/saintekom.v12i2.317","DOIUrl":null,"url":null,"abstract":"Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 and 0.9. The results of the study resulted in the Weighted Moving Average method as the method that has the smallest Error value where from the 4 drugs that were used for forecasting, 3 drugs showed the Weighted Moving Average method as the best method which has the smallest Mean Absolute Deviation value and the smallest Mean Absolute Percentage Error value compared to Single Exponential Smoothing.","PeriodicalId":359182,"journal":{"name":"Jurnal SAINTEKOM","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT\",\"authors\":\"I. G. B. Aprilyanta, Ariesta Lestari, Sherly Christina\",\"doi\":\"10.33020/saintekom.v12i2.317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 and 0.9. The results of the study resulted in the Weighted Moving Average method as the method that has the smallest Error value where from the 4 drugs that were used for forecasting, 3 drugs showed the Weighted Moving Average method as the best method which has the smallest Mean Absolute Deviation value and the smallest Mean Absolute Percentage Error value compared to Single Exponential Smoothing.\",\"PeriodicalId\":359182,\"journal\":{\"name\":\"Jurnal SAINTEKOM\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal SAINTEKOM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33020/saintekom.v12i2.317\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal SAINTEKOM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33020/saintekom.v12i2.317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

药房是直接向消费者销售药品的经营性企业。为了确保药品供应符合市场需求,Hasanah Palangka Raya药房的领导通常根据销售报告和经验估计未来一段时间的药品供应。为了研究目的,它将提供一个解决方案,通过应用加权移动平均方法与权重2,3,4,5,6,7,8和9周期和单指数平滑方法恒定平滑或(alpha),即0.2,0.3,0.4,0.5,0.6,0.7,0.8和0.9开发预测应用程序。研究结果表明,加权移动平均法是误差值最小的方法,在4种用于预测的药物中,加权移动平均法是最佳方法,与单指数平滑相比,加权移动平均法具有最小的平均绝对偏差值和最小的平均绝对百分比误差值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT
Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 and 0.9. The results of the study resulted in the Weighted Moving Average method as the method that has the smallest Error value where from the 4 drugs that were used for forecasting, 3 drugs showed the Weighted Moving Average method as the best method which has the smallest Mean Absolute Deviation value and the smallest Mean Absolute Percentage Error value compared to Single Exponential Smoothing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信