Performance Analysis of Learner Behavior Through Online Learning Using Learning Management System

This paper discusses the performance analysis of learner behavior through online learning using Learning Management System (LMS). The analysis is performed based on the survey of lecturers and students activities. The parameters of survey consist of the problems discussion which arise in the online learning, the level of student absorption of lecture material, the level of student attendance, and the feedback on lecturer performance carried out by students. Problems that arise in the online learning include lecturers are not being able to control as much as 37%, network disturbances are as much as 22%, students having difficulty understanding lecture material are as much as 19% which are indicated by students with D score of 10%, C score of 60%, and B score of 30%. Meanwhile 17% of students use LMS and the remaining 5% have no problems with the online learning. On the other hand, students have difficulty obtaining connection for online learning of 45%, do not have a quota of 28%, and lazy of 17%. Lecturer performance feedback carried out by students based on competency parameters of pedagogic, personality, professionalism, and social shows very good score. © 2023 IEEE.

Evaluation of Three Abundant Indonesian Traditional Tubers as Carbohydrate-Rich Food Alternatives for Diabetic Patients During the COVID-19 Pandemic

Diabetes is the tenth most common comorbidity in coronavirus disease, hence COVID-19 patients with this disease showed higher mortality rates and worse outcomes. Therefore, Management of diabetes during the pandemic became more critical, especially in ensuring patients consume functional foods containing diets, such as sweet potato, cassava, and taro, among the top ten abundant-traditional tubers in Indonesia. These foods are rich in protein, vitamin C, thiamine, riboflavin, niacin, and dietary fibre. Carbohydrate-rich foods, which constitute around 60% of the average diet should be considered. This study evaluated the potential of the three most consumed Indonesian tubers;sweet potato, cassava, and taro, as functional foods for managing diabetes during the pandemic. These foods were selected based on their chemical composition, antioxidant activity, and in silico molecular docking against COVID-19 and diabetes-related target proteins. The target proteins are ACE2 (angiotensin-converting enzyme 2), TMPRSS-2 (transmembrane serine protease 2), DPP IV (dipeptidyl peptidase IV), and α-glucosidase. The results showed that sweet potato has the highest phenolic compounds content and antioxidant activity, valued at 7.40 ± 0.20 mg/g GAE and 9.39 ± 0.3%, respectively. Moreover, molecular docking results indicated that sweet potato phenolic compounds, namely isorhamnetin, peonidin, and catechin against DPP IV, isorhamnetin, peonidin, and quercetin against ACE2, isorhamnetin and quercetin against α-glucosidase, and epicatechin against TMPRSS2 strongly interacted with the target proteins. In conclusion, cassava, taro, and sweet potato were the most potential functional foods for diabetes management during the pandemic.