{"title":"库存商品信息系统使用聚类方法KMEANS(案例RMD STORE)","authors":"Jabbar Jabbar","doi":"10.31949/infotech.v8i1.2280","DOIUrl":null,"url":null,"abstract":"This inventory information system was created to obtain information on goods that were sold in large quantities and those that were not sold (less desirable) in order to reduce the buildup of unsold goods and minimize losses caused by goods that were not in demand, therefore we made an application of the inventory information system using the method clustering KMeans case study RMD Store using PHP Laravel and MySqli.","PeriodicalId":259913,"journal":{"name":"INFOTECH journal","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SISTEM INFORMASI STOK BARANG MENGGUNAKAN METODE CLUSTERING KMEANS (STUDI KASUS RMD STORE)\",\"authors\":\"Jabbar Jabbar\",\"doi\":\"10.31949/infotech.v8i1.2280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This inventory information system was created to obtain information on goods that were sold in large quantities and those that were not sold (less desirable) in order to reduce the buildup of unsold goods and minimize losses caused by goods that were not in demand, therefore we made an application of the inventory information system using the method clustering KMeans case study RMD Store using PHP Laravel and MySqli.\",\"PeriodicalId\":259913,\"journal\":{\"name\":\"INFOTECH journal\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INFOTECH journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31949/infotech.v8i1.2280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INFOTECH journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31949/infotech.v8i1.2280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SISTEM INFORMASI STOK BARANG MENGGUNAKAN METODE CLUSTERING KMEANS (STUDI KASUS RMD STORE)
This inventory information system was created to obtain information on goods that were sold in large quantities and those that were not sold (less desirable) in order to reduce the buildup of unsold goods and minimize losses caused by goods that were not in demand, therefore we made an application of the inventory information system using the method clustering KMeans case study RMD Store using PHP Laravel and MySqli.