The community's HBM (Health Belief Model) analysis of the COVID-19 vaccination needs to be done. This perceived threat assessment is based on perceived vulnerability and seriousness. Judgments to behave in response to perceived threats are also influenced by cues to action. Variables that cannot be explained directly or variables that require explanation from other variables are called latent variables. Latent variables consist of exogenous and endogenous variables. This study aims to analyze the public health belief model of the city of Jambi towards COVID-19 vaccination with the structural equation modeling (SEM) method. The results showed that the health belief model for COVID-19 vaccination in Jambi City, vaccination actions were significantly influenced by perceptions of benefits and barriers. Perceived benefits and barriers were significantly affected by perceived severity and seriousness and then perceived severity and seriousness were significantly influenced by cues to action. However, demographics including age, occupation, income and beliefs in this study did not significantly influence a person to vaccinate. The proposed model can be accepted based on the goodness of fit indicator

The learning situation after the COVID-19 pandemic has not fully recovered. Mathematics learning, especially at the tertiary level, is carried out using a blended learning model, namely some learning is carried out face-to-face and partly online. Therefore, adequate learning media or applications are needed so that learning can take place optimally. One of the media that can be used as a solution to this problem is the Sowiso application. The sowiso application is a media in the form of a digital book that is equipped with exercises so that it is possible to improve students' mathematical concept understanding skills. Therefore, a training was held with the theme "Improving Students' Mathematical Concept Ability by Using the Sowiso Application".