The learning process should be in accordance with the Semester Learning Plan (RPS) that has been prepared by the lecturer at the beginning of the lecture, but during a pandemic like the current one, lecturers sometimes experience need much times to make lecture learning instruments and finally they cannot prepare it well. This research was conducted to determine the implementation of Lecture Instruments to digital challenges at the Faculty of Engineering and Computer Science UMPP with the Technology Acceptance Model (TAM). This research uses quantitative methods and data collection uses questionnaires and is continued with fuzzy-based quantitative descriptive data analysis. Fuzzy Inference System can be used as a tool to represent different knowledge about a problem, as well as to model the interactions and relationships that exist between these variables. Fuzzy Inference System with 5 criteria, namely Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, Behavioral Intention to Use, and Actual Use from the results of lecture surveys on Lecture Instruments that have been prepared by lecturers. Fuzzy inference data is used to get the results of lecturer performance along with recommendations for follow-up plans from the results obtained with the Technology Acceptance Model (TAM). In the fuzzy calculation, it is found that the high membership value is 0.715; 0.79; 0.8075; 0.7325; 0.425. So the minimum value is 0.715 and it can be concluded that the Semester Learning Plan application can be considered.

Indonesia is one of the countries affected by the Covid-19 pandemic. The Covid-19 pandemic has a negative impact on economic, educational, socio-cultural, and other aspects. When viewed from a financial aspect, this pandemic has made efforts to shift trade from trading directly or face-to-face to online or commonly referred to as e-commerce, which is now an online business. This research method is quantitative and qualitative. Researchers used a purposive sampling technique to get respondents aged 15 to 25 who worked as online businesses during the Covid-19 pandemic. Then, the data analysis that the researchers did was descriptive statistical analysis. This study indicates that the most driving factor for young people aged 15 to 25 to do online business is to follow the current trends (37%). In addition, the inhibiting factor that many young people experience when running online businesses during the Covid-19 pandemic is a large number of competitors (37%). The number of competitors is related to the difficult economic situation during the Covid-19 pandemic. In addition, the results of this study also show that 60% of respondents choose that online business has no impact on academics because respondents say that doing business online provides positive energy. So, high school students, college students, and the general public (aged 18-25 years) can continue to develop online businesses even though they are during the Covid-19 pandemic.