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Klasterisasi Lokasi Tingkat Penyebaran Covid-19 Menggunakan Algoritma K-Means Klasterisasi Lokasi Tingkat Penyebaran Covid-19 Menggunakan Algoritma K-Means

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ABSTRACT
Disease is a bad condition in certain organs or body parts caused by harmful micro-organisms such as bacteria, viruses, wounds, chemical imbalances in the body, exposure to toxins, and the appearance of imperfect cells. In 2020 until now, Indonesia has been shocked about the spread of a fairly serious disease. The case was caused by the corona virus or known as covid-19 (Corona Virus Disease-2019). The spread of the Covid-19 virus is very fast. Human-to-human transmission occurs near an infected person. The main transmission is an infected person sneezing and respiratory droplets such as influenza, the oral or nasal mucosa, and the lungs of people who breathe infected air. Various policies have been issued by the government to minimize the spread of COVID-19 by imposing social distancing, physical distancing, implementing large-scale social restrictions (PSBB), to implementing restrictions on community activities (PPKM) in several areas. The purpose of this study was to determine the regional grouping of the spread of COVID-19 in Pekanbaru City. The data used is data on positive cases of COVID-19 obtained from the Pekanbaru City Health Office and data on the number of residents in Pekanbaru City based on 83 villages. The method used in this research is K-Means Clustering. K-Means Clustering is a method that is able to group areas with the potential for COVID-19. Based on the research results, there are 46 villages in cluster 1, 7 villages in cluster 2 and 30 villages in cluster 3.
Keywords: Cluster, Covid-19, K-Means, Village.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803113598

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2022

Deskripsi Fisik

G

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803113598

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Deti

Versi lain/terkait

Lampiran Berkas

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