Masks are an important part of preventing Covid19 disease.The World Health Organization (WHO) have also recommended the community use masks when doing activities in public areas. There are many types of masks that are used to cover the nose and mouth. In general, there are about 3 types of masks that are commonly used by the public today, namely medical masks, N95 and cloth masks. This study aims to detect the type of mask used by the community. So that it can make easier for the government to apply discipline in COVID-19 health protocol. The detection method used in this study is a convolutional neural network (CNN). The first step is acquisition of knowledge, which first collects the types of masks on the market, followed by the representation of that knowledge before being modeled into a mathematical calculation formula, which will then be processed using the Convolutional Neural Network method. The system will be carried out by analyzing the recall value, its precision and accuracy.Testing process is carried out on an Android-based device and the mobilenetV2 framework. In this study, the accuracy value is 90% using ADAM Optimization and 80 % using Gradient descent optimization.
In the era of globalization and rapid technological developments, it is important for SMK (Vocational High School) students to have skills and knowledge relevant to the industrial world. One way to prepare SMK students to face this challenge is through community service activities. The Workshop on Building a Technology- Based Startup at SMK Negeri 3 Negara was initiated as a community service activity (PkM) to overcome these obstacles. The implementation of the PkM workshop on Building a Technology-Based Startup for Students of SMK Negeri 3 Negara is divided into several stages including: problem identification, activity implementation, and evaluation stage. In general, the implementation of this activity went according to plan, this was evidenced by the results of the questionnaire, the program partners answered that they were satisfied with the implementation of this program.
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