Agus Pramono, Teppei Jordy L’ga Tama, Teguh Waluyo
{"title":"ANALISIS ARUS TIGA FASA DAYA 197 KVA DENGAN MENGGUNAKAN METODE UJI NORMALITAS KOLMOGOROV-SMIRNOV","authors":"Agus Pramono, Teppei Jordy L’ga Tama, Teguh Waluyo","doi":"10.31598/jurnalresistor.v4i2.696","DOIUrl":null,"url":null,"abstract":"It is necessary to make a monitoring system for the amount of electricity that includes voltage, current, power and the amount of electricity consumption. In this research, carried out in a building that has a 3-phase current with a power of 197 KVA. The analysis used the Kolmogorov-Smirnov normality test method. The Kolmogorov-Smirnov normality test compares the current distribution in the building with the current which is transformed into a Z-score form and is assumed to be normal. In the data analysis, the results of Asymp. Sig. (2-failed) has a value of 0.2. This, this shows the data has been normally distributed","PeriodicalId":164171,"journal":{"name":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal RESISTOR (Rekayasa Sistem Komputer)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31598/jurnalresistor.v4i2.696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
It is necessary to make a monitoring system for the amount of electricity that includes voltage, current, power and the amount of electricity consumption. In this research, carried out in a building that has a 3-phase current with a power of 197 KVA. The analysis used the Kolmogorov-Smirnov normality test method. The Kolmogorov-Smirnov normality test compares the current distribution in the building with the current which is transformed into a Z-score form and is assumed to be normal. In the data analysis, the results of Asymp. Sig. (2-failed) has a value of 0.2. This, this shows the data has been normally distributed