Investment is a way of getting profit by investing a certain amount of capital in certain assets. Investing in shares in LQ45 amid the Covid-19 pandemic is one way to benefit when many sectors are experiencing an economic downturn. The purpose of this study was to analyze the differences in the optimal portfolio of LQ45 stocks in the 2019 and 2020 quadrimester I. The samples of this study were companies listed in LQ45. This research method uses the treynor index and t-test. The results of this study are that there is a significant difference in the optimal portfolio using the treynor index model between quadrimester I 2019 and 2020 on LQ45 stocks, this is influenced by conditions amid the Covid-19 pandemic which affects all sectors. The highest optimal number of purchases in the month April 2020 is occupied by companies with the KLBF code, this is an advantage that the company gets during the Covid-19 pandemic. Future research is expected to be able to allocate investment funds optimally for each share to achieve optimal profits. The investor is expected to be able to estimate in advance the stocks that will be selected for their investment.

The purpose of the article is to determine the factors affecting the satisfaction of Duy Tan University students for online learning during the acute respiratory infection caused by the new strain of Coronavirus (Covid-19). Based on survey, analysis, processing and evaluation of the obtained results, the article aims to focus the analysis within specific limits with the goal of honestly reflecting and thereby offering solutions for the effective use of online learning in the learning process of students. The results show that there are five factors affecting student satisfaction, in order of influence, as follows: (1) Tuition fees; (2) Teaching staff; (3) Interoperability; (4) Facilities and (5) Training programs. Based on these results, the Board of Directors of Duy Tan University will change several factors in order to improve student satisfaction in online learning in the near future.