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<title><![CDATA[Estimasi Time Reproduction Number Covid-19 Dengan Metode Extended Kalman Filter]]></title>
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<namePart>Karolina Nadia Nukul</namePart>
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<namePart>ASTRI ATTI</namePart>
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<namePart>MEKSIANIS ZADRAK NDII</namePart>
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<namePart>Meksianis Zadrak Ndii</namePart>
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<namePart>Irvandi G. Pasangka</namePart>
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<dateIssued><![CDATA[2022]]></dateIssued>
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<note>Penting untuk mengetahui perkembangan nilai time reproduction number (Rt) dari covid-19 yang merupakan penyakit menular dengan resiko kematian. Rtmerupakan nilai basic reproduction number (R0) yang selalu berubah tiap waktunya akibat adanya perubahan individu terinfeksi. Estimasi nilai Rt dapat menggunakan metode Extended Kalman Filter (EKF) melalui model SEIT R yang didiskritkan. Hasil estimasi menunjukkan perubahan nilai Rt yang mendominasi di Nusa Tenggara Timur(NTT) adalah nilai Rt > 1 yang artinya covid-19 di NTT akan selalu ada didalam populasi. Penerapan kebijakan pencegahan penyebaran covid-19 dapat dipantau melalui nilai Rt
Kata Kunci : Covid-19, Time Reproduction Number, Extended Kalman Filter</note>
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