PEMETAAN PENYEBARAN COVID-19 PADA TINGKAT KABUPATEN/KOTA DI PULAU JAWA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING
نویسندگان
چکیده
Coronavirus atau Covid-19 adalah virus yang ditemukan di Wuhan, China pada Desember 2019. Virus memiliki kemampuan penyebaran cukup cepat diseluruh dunia termasuk Indonesia melalui interaksi antar manusia dan menginfeksi saluran pernapasan dapat menyebabkan kematian. Kasus terus meningkat membuat perlu dilakukan pemetaan tingkat kerawanan khususnya Pulau Jawa. Algoritma K-Means salah satu metode clustering membagi data ke dalam beberapa kelompok. Davies Bouldin Index (DBI) digunakan untuk menghitung kemiripan setiap cluster. Hasil pengujian menunjukkan cluster terbaik ukuran 3 dengan nilai DBI 0.609. Terdapat kerawanan, yaitu rendah terdapat 0 105 kabupaten/kota, sedang 2 7 tinggi 1 kabupaten/kota. kabupaten/kota berada Kota Jakarta Utara, Barat, Pusat, Selatan, Timur, Surabaya, Semarang. dari penelitian diharapkan sebagai acuan oleh masyarakat maupun pemerintah.
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ژورنال
عنوان ژورنال: Sebatik
سال: 2021
ISSN: ['1410-3737', '2621-069X']
DOI: https://doi.org/10.46984/sebatik.v25i2.1307