Rega Satya Putra, Erwin Dwika Putra, M. Rifqo, Harry Witriyono
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引用次数: 2

摘要

2020年初,包括印尼在内的世界各国都面临新冠肺炎大流行。这种病毒已知于2019年12月底首次出现在中国湖北省武汉市。通过减少不必要的人群中间活动和实施卫生协议,可以通过公共纪律避免covid -19传播的风险。信息技术的发展使得人们可以很容易地获取到数据,而由人类进行的分类活动仍然存在局限性,特别是人类对要分类的数据的容纳能力。每天进入机构或组织的数据量,时间越长,数据堆积就会积累起来,因此利用率不是最佳的。本研究的目的是在x -交叉验证算子模型下,使用c4.5算法建立covid-19的分类数据库。将4.5算法应用于pagaralamcity的ecovid -19数据,结果显示准确率为86.67%,AUC(优化)为0.989。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Klasifikasi Penyebaran Covid-19 Menggunakan Algoritma C4.5 Kota Pagar Alam
Allof countriesinthe world,includingIndonesia faced the Covid-19 pandemicorthecoronavirusatthebeginning of2020.Thisvirus isknownthat firstappearedinHubeiProvince,WuhanCity,ChinaattheendofDecember 2019.The riskofCovid-19transmissioncanbe avoidedwithpublic discipline by reducingactivitiesinthemiddleofa crowdifthere isnoneedandimplementing healthprotocols.Thedevelopmentofinformationtechnology makeiteasierfor peopletoeasily obtaindatathattendstoberedundantandclassificationactivities thatcarriedout by humansstillhavelimitations,especially thehumanability to accommodatedata tobe classified.The amountof datathatentersaninstitutionor organizationevery day,thelongerthemoreitwillbe,thepileofdatawillbe accumulatedsothattheutilizationisnotoptimal.Thisstudy aimedtobuiltthethe classificationofcovid-19databy usingtheC4.5AlgorithminthecityofPagar AlamwiththeCRIPS-DMmethodwiththeX-crossvalidationopratorsmodel. TheresultsobtainedintestingbyapplyingtheC4.5algorithmtotheCovid-19 dataforthecity ofPagarAlamshowthattheaccuracyresultsare86.67%andthe AUC (Optimise) resultsare0.989.
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