Monograf Analisa penyebaran virus Covid-19 di Kalimantan Timur, Indonesia menggunakan uji korelasi dan permodelan berbasis GIS
Abstract
Penelitian ini dilakukan di Kalimantan Timur, Indonesia yang dimulai pada tanggal 17 Juni sampai dengan 18 Juli 2021. Hubungan antara kepadatan penduduk dengan kasus mingguan penyebaran Covid-19 di Kalimantan Timur dijelaskan dengan menggunakan Statistical Product and Service Solution (SPSS) dengan hasil Nilai R dalam penelitian ini adalah 0,682. Sedangkan nilai R2 yang diperoleh 0,465 menunjukkan kepadatan penduduk mampu menggambarkan lebih dari 46,5% penyebaran Covid-19 di Kaltim. Selanjutnya hasil uji korelasi menunjukkan bahwa kepadatan penduduk berdampak korelasi sedang terhadap angka kejadian kasus mingguan Covid-19 di Kalimantan Timur. Area pemetaan tingkat kejadian dengan GIS yang dalam artikel ini menggunakan 3 tingkatan: tinggi, sedang, dan rendah. Selama satu bulan, analisis GIS diidentifikasi bahwa tingkat tinggi ditempati oleh Kutai Timur, Kutai Kertanegara, Bontang, Samarinda, dan Balikpapan, tingkat sedang ditempati oleh Kutai Barat dan Berau, dan tingkat rendah ditempati oleh Mahakam Ulu, Paser, dan Penajam, Paser Utara. Hasil ini dapat membantu pemerintah daerah untuk mencegah dan menekan penyebaran covid-19 di Kalimantan Timur, Indonesia.
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