ABSTRACT
The purpose of this study is to discover: 1) how students respond to online learning during the COVID-19 pandemic, 2) what are the most popular online learning applications by students, and 3) the challenges and problems faced by students during the implementation of online learning. The research method used is a combination research method (mixed methods) is a research method between quantitative methods and qualitative methods to be used together in a research activity, to obtain more comprehensive, valid, reliable, and objective data. This study population comprised 1503 students from the Faculty of Engineering, Universitas Negeri Padang (FT-UNP). However, it turned out that many students stated that they did not like online learning because it was considered less fun, and the lecturer gave more assignments than usual. Although online learning has many advantages, online learning also has many challenges, including internet connection, lecturers' poor performance, students' poor independent study skills, technical issues with the use of technology, heavy tasks, low motivation, and an unsupportive environment. The conclusion of the study also shows that the online learning platform that students prefer is a platform that in addition to being able to support discussions. © 2022, Auricle Global Society of Education and Research. All rights reserved.
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19 pandemic that infects humans and attacks the body's immune system. The purpose of the study was to identify the potential of bioactive compounds in purslane (Portulaca oleracea L.) and star anise (Illicium verum Hook) via a dual inhibitor mechanism against SARS-CoV-2 proteases with an in silico approach. The samples were obtained from PubChem and RSCB PDB. Antivirus probability prediction was performed on PASS Online. Virtual screening was performed with PyRx via molecular docking. Visualization was used by PyMol and Discovery Studio. Compounds with the best antiviral potential are indicated by the low binding affinity value to the target proteins, namely SARS-CoV-2 TMPRSS2 and PLpro. The results showed that purslane luteolin has the best antiviral potential. However, further studies are required to validate this computational prediction. © 2022 Phcogj.Com.