J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 5, No 1 (2021): EDISI MARET

Penerapan Deep Learning untuk Prediksi Kasus Aktif Covid-19

Lailis Syafa’ah (Universitas Muhammadiyah Malang)
Merinda Lestandy (Universitas Muhammadiyah Malang)

Article Info

Publish Date
26 Mar 2021

Abstract

Coronavirus disease (Covid-19) is increasingly spreading in Indonesia, so it requires an approach to predict its spread. One approach method that is often used is the Deep Learning (DL) method. DL is a branch of Machine Learning (ML) which is modeled based on the human nervous system. In this study, the prediction of active Covid-19 cases was resolved using the DL method. The dataset used is 260 data with 10 parameters. DL is able to provide an accurate prediction of active cases of Covid-19 with an MSE of 0.032 and an accuracy of 81.333%.

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Journal Info
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Website

Abbrev

jsakti

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Description

J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun ...