The number of cases of Covid-19 in this pandemic era is increasing and getting out of control every day. This triggers the Indonesian government to set policies on schools with online learning methods. Of course, online learning cannot ensure that it runs smoothly in all circles because several factors hinder the learning process. The difficulty of the internet network, limited quotas, unfamiliarity with the use of learning media, and an unsupportive environment for conducting online learning are the obstacles to ineffective online learning. The purpose of this study was to determine the level of satisfaction with online learning during the pandemic. This study uses quantitative research methods with a descriptive approach. Quantitative research methods will be processed into data mining using the K-Means Clustering Algorithm. The clustering process is carried out to get the results of clustering the level of student satisfaction. The dataset was obtained from the results of the questionnaire by submitting statements of satisfaction and dissatisfaction. The cluster type is based on high, medium, and low class. The test results obtained a value with the final iteration, namely the level of satisfied statements is categorized as high with a value of 11.79 compared to the dissatisfied statement, which is categorized as moderate with a value of 7.46. In contrast, for the low category level, there is no value of 0.00 cluster results state that the category is satisfied with online learning with a value of 9.33.

The Covid-19 pandemic has dramatically changed our daily lives, with masks becoming essential to prevent transmission and checking body temperature upon entering public spaces becoming a new norm. The Internet of Things (IoT) technology can aid in implementing health protocols and reducing direct human contact. This research aims to examine and explore the use of IoT systems in minimizing or preventing the spread of Covid-19. This research utilizes a Systematic Literature Review (SLR) method to provide an overview of the topic. According to the findings of the study that was carried out using 15 different journals for review, it was discovered that the object used the most frequently in several research journals is a device for measuring body temperature. Furthermore, most research methods are prototypes, and Arduino microcontrollers are used as the primary component in most of these prototypes. The one strategy for using the internet of things (IoT) to control the spread of Covid-19 is to develop a body temperature monitoring detecting device that can lessen users' need for direct touch with one another.