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Klasifikasi Penyebaran Covid-19 Menggunakan Algoritma C4.5 Kota Pagar Alam Rega Satya Putra; Erwin Dwika Putra; M. Husni Rifqo; Harry Witriyono
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 4, No 1 (2021): Juni
Publisher : JUKOMIKA (Jurnal Ilmu Komputer dan Informatika)

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Abstract

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.
Teknik Assosiasi Mining Menggunakan Algoritma Apriori Pada Penyebaran Covid-19 Di Kabupaten Kaur Alber Uci Saputra; Erwin Dwika Putra; M. Husni Rifqo
JTIS: Journal of Technopreneurship and Information System Vol. 5 No. 2 (2022): Juli
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

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Abstract

Covid-19 is a virus that appeared at the end of 2019, the process of spreading the virus was also considered very fast until it entered the country of Indonesia. Covid-19 is also considered as a factor inhibiting the development of a country to an area. In the kaur district area of Bengkulu City, the spread of covid-19 causes economic growth to be hampered due to established rule factors ranging from not being able to do activities related to others directly. The problem also occurs at the rate of spread of covid-19 in Kaur Regency due to the factors of the community who do not know how many people are infected with covid-19. Therefore, by applying classification, it is the right way to find out the rate of spread of COVID-19. One of them is to apply mining association techniques using a priori algorithms to see the rate of spread of COVID-19 in Bengkulu City, Kaur Regency. To find out the rate of spread of covid-19, the attributes are used to predict the rate of spread of COVID-19. Later the prediction system that will be made for the spread of covid-19 is intended for between villages in Kaur regency by using date and village name attribute data so that from this study resulted in a priori algorithm successfully applied to the analysis of the spread of covid-19 in Kaur regency, by obtaining the most frequently appeared village results are dapo coral villages with a percentage weight of 84.21%. A priori algorithm is a classification model to get a good spread analysis in conducting data mining classification.