{"title":"Prediksi Pesediaan Stock Pulsa Menggunakan Fuzzy Linear Regresion","authors":"M. Misdiyanto","doi":"10.30645/J-SAKTI.V3I1.93","DOIUrl":null,"url":null,"abstract":"Electronic phone credit (pulsa) sales at this time showed an outstanding increase, because of the needs of phone credit usage every day by the society that has now became a need. Phone credit business will never stop because human always communicate with one another. To ensure the availability of the product in the phone credit server, the phone credit server manager routinely, in a particular period, inventorize the purchase of phone credit products. From the exploration above, the market conditions in a business are always changing, In a business. Process prediction is important for every business person in decision-making. Then, there is a need to build a prediction system that could predict phone credit transactions in the next period. Results or output of this system is predictive value of transactions in the next period with average error value of 4% using β1=0,5 and β2=0,2. Therefore, it can be used as a reference for the management in the decision-making.","PeriodicalId":402811,"journal":{"name":"J-SAKTI (Jurnal Sains Komputer dan Informatika)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J-SAKTI (Jurnal Sains Komputer dan Informatika)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30645/J-SAKTI.V3I1.93","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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摘要

电子电话信用(pulsa)的销售在这个时候表现出了显著的增长,因为电话信用每天都需要被社会使用,现在已经成为一种需要。手机信用业务永远不会停止,因为人类总是相互沟通。为了保证电话信用服务器中产品的可用性,电话信用服务器管理员在特定的时间段内例行地对购买的电话信用产品进行盘点。从上面的探索,市场条件在一个企业是不断变化的,在一个企业。过程预测对每个业务人员的决策都很重要。然后,有必要建立一个预测系统,可以预测下一个时期的电话信用交易。该系统的结果或输出为下一周期交易的预测值,使用β1=0,5和β2=0,2,平均误差值为4%。因此,可以作为管理层在决策时的参考。
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Prediksi Pesediaan Stock Pulsa Menggunakan Fuzzy Linear Regresion
Electronic phone credit (pulsa) sales at this time showed an outstanding increase, because of the needs of phone credit usage every day by the society that has now became a need. Phone credit business will never stop because human always communicate with one another. To ensure the availability of the product in the phone credit server, the phone credit server manager routinely, in a particular period, inventorize the purchase of phone credit products. From the exploration above, the market conditions in a business are always changing, In a business. Process prediction is important for every business person in decision-making. Then, there is a need to build a prediction system that could predict phone credit transactions in the next period. Results or output of this system is predictive value of transactions in the next period with average error value of 4% using β1=0,5 and β2=0,2. Therefore, it can be used as a reference for the management in the decision-making.
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