Nastiti Susetyo Fanany Putri, Aji Prasetya Wibawa, Harits Ar Rosyid, Andrew Nafalski, Eisuke Hanada
It has been 3 years since the COVID-19 pandemic forced all areas of existence to adjust. This disease had encouraged numerous researchers to focus on COVID. More immunology and virus research publications have been published on the SCImago website over the past 3 years based on their quality. The relative designations for the highest and lowest orders are Q1 and Q4, respectively; however, it was revealed within the ranking. The classification technique resolves this issue. This chapter uses the ensemble classification method. Among the employed ensembles are XGBoost, Adaboost, and Bagging. According to this study, the optimal algorithmic order for accuracy is AdaBoost, XGBoost, then Bagging. 87.24%, 87.17%, and 86.82% for the expected 200, 10, and 100, respectively. However, as they produced subpar results, the generated statistics must uphold SCImago’s methodology. © 2024 selection and editorial matter, Aji Prasetya Wibawa.
Universitas Negeri Malang, Malang, Indonesia; University of South Australia, Adelaide, Australia; Saga University, Saga, Japan