Analisis Faktor-Faktor Yang Mempengaruhi Kematian Pasien Covid-19 Menggunakan Klasifikasi Berstruktur Pohon Biner Dengan Algoritma Quest

Abstract

COVID-19 is an infectious disease caused by a type of coronavirus that was only discovered in December 2019. Patients with underlying medical conditions, or comorbidities, have a higher risk of developing severe illness due to COVID-19. The purpose of this study is to classify and analyze the factors which mostly affect the death in COVID-19 patients using QUEST algorithm. The main strengths of QUEST algorithm are unbiased selection of variables and high computational speed. Data used in this study are primary data of 14 variables on 460 COVID-19 patients taken from Dr. M. Goenawan Partowidigdo Lung Hospital in Cisarua, West Java, from March 2020 to January 2021. Results show that there are three significant factors that affected the death in COVID-19 patients. The first factor is the status of COVID-19 patients. The second and third factors are comorbidities, i.e. hypertension and kidney failure, respectively. The factor which mostly affected the death in COVID-19 patients is patient with probable status, with a mortality rate of 95%. The second most factor affecting the death in COVID-19 is patients with under-surveillance, suspected and confirmed status with kidney failure, where the mortality rate is 60%. The accuracy of the classification tree is 80.6%, which is quite optimal.