Analysis of Covid 19 Data in Indonesia Using Supervised Emerging Patterns

Abstract

This research method uses CRISP-DM with emerging pattern supervision modeling and EPM Algorithm. The contribution of the research is to assist the Government in overcoming the problem of the spread of the COVID-19 cluster in several regions in Indonesia. The research aims to implement information on the COVID-19 data mining pattern in the DKI Jakarta area. The problems faced are the difficulty of identifying the pattern of COVID-19 data in one area, it is difficult to dig up data on the http://corona.jakarta.go.id website. It is not easy to decide on the handling of COVID-19. The output of the research results in a cluster of information on COVID-19 in the DKI Jakarta area based on Significance level depends on the Covid Map In terms of Region, Status, Gender, & age And Signification can be the basis for determining covid OTG, DTG, and Positive. The theoretical and practical implications can be stated as follows: The use of supervised emerging pattern methods can affect the processing of COVID-19 data. For 5 Regions in DKI Jakarta and distribution to determine covid OTG, DTG, and Positive. The result of the development of this data mining system is to produce pattern reports to produce Supervised Emerging Patterns technology for decision making at the COVID-19 Task Force in DKI Jakarta.

Implementation Framework for Merdeka Belajar Kampus Merdeka (MBKM) in Higher Education Academic Activities

“…This is called negative entropy or negentropy. A system is a group of elements that are linked together to achieve a specific goal [17] [18]. A system can be part of a larger system.…”

Medical Opinions Analysis about the Decrease of Autopsies Using Emerging Pattern Mining

“…Rahardja et al [34] developed a research project focused on using data mining techniques, specifically the supervised emerging patterns method, to analyze and make decisions based on COVID-19 disease data from DKI in Jakarta, Indonesia. According to the Cross-Industry Standard Process for Data Mining (CRISP-DM) model, the research project adheres to a systematic approach.…”

Faktor Yang Mempengaruhi Penerapan 5M di Keluarga Dalam Pencegahan Covid-19 di Desa Kota Bangun Ulu

“…Pengetahuan masyarakat tentang covid-19 merupakan aspek sangat penting di masa pandemic sekarang ini, masyarakat harus mengetahui penyebab covid-19, tanda dan gejalanya, proses transmisinya serta cara pencegahammya. Hal ini sejalan dengan hasil penelitian yang di lakukan oleh (Rahardja et al, 2022) pengetahuan masyarakat terhadap protocol kesehatan tinggi. Pengetahuan yang dimiliki akan mempengaruhi individu dalam menentukan dan mengambil keputusan terhadap suatu permasalahan yang sedang dihadapi Perilaku baik di dasarkan dari pengalaman, semakin banyak pengalaman akan semakin baik dalam berperilaku, lain halnya dengan individu yang tidak memiliki pengalaman maka akan cenderung memiliki perilaku kurang baik.…”

“…Pengetahuan yang dimiliki akan mempengaruhi individu dalam menentukan dan mengambil keputusan terhadap suatu permasalahan yang sedang dihadapi Perilaku baik di dasarkan dari pengalaman, semakin banyak pengalaman akan semakin baik dalam berperilaku, lain halnya dengan individu yang tidak memiliki pengalaman maka akan cenderung memiliki perilaku kurang baik. Seseorang terbiasa menerapkan hidup sehat dan bersih akan mudah dalam beradaptasi di era pandemic ini (Rahardja et al, 2022) .…”