Blockchain Technology Based Credibility Verification in E-Journal Entities

In the industrial era 4.0, it has surpassed increasingly complex technological advances in the information system that required a very high infrastructure and facilities and prevented fraud. Counterfeiting is a procedure following an entity, statistics, or documents (observe forged documents) with plans to deceive. Falsification of extensive information certificates is exacerbated by the current economic situation in Indonesia, which is currently occurring due to the widespread epidemic, namely COVID-19. The spread of the COVID-19 outbreak has had a significant impact and changes in all sectors, especially certificate forgery in Indonesia. The imitation of busy certificates is the main focus of this journal, focusing on journal publications combined with Blockchain technology. The sophistication of blockchain technology as authentication is comparing two or more items or additional tests to ensure the accuracy, correctness, or correctness of the information. This method uses qualitative methods with data sources based on case studies in controlled supervision with the basic concept of cryptography as the basis of analysis. From the decisions made, it is hoped that this will minimize the level of forgery of certificates widely measured during the COVID-19 era. © 2022 IEEE.

New Normal Regulation with Face Recognition Technology Using AttendX for Student Attendance Algorithm

In this new normal era, the community is directed to minimize activities and meet other people or goods. This is aimed at avoiding an increase in the number of the spread of the Covid-19 virus. Following the government directive, a study was conducted to facilitate one of the activities of students and educators, namely online attendance called AttendX. The way this system works is effortless. By just registering, the system can verify faces that have been registered for attendance. This application is designed with modern facial recognition technology that has developed rapidly, with this sophistication can make it easier to detect faces in structured parts such as the forehead, cheekbones, eyes, and even the nose. In compliance with the new normal regulations, the AttendX platform is designed to detect faces if the user is wearing a mask. Because of the convenience of online attendance using faces, this AttendX study resulted in a peak implementation with an accuracy rate of 99%. This shows that AttendX can be used to perform student attendance well. © 2022 IEEE.