Design of Automated Exam Proctoring for User Authentication Through Face Augmentation and Verification

The uses of online exam continue to increase during covid-19 pandemic. The challenge of online examination is proctoring method to detect cheating possibility to maintain integrity in its implementation. Various design of proctoring methods had been proposed from remote proctoring using video surveillance until automatic proctoring using machine learning approaches. One of important things in proctoring is user authentication during exam session. Recently, face recognition algorithm using image are widely used in automatic proctoring method instead of video which use high load data for storage, transmission and processing. Despite the progress made to detect identity of examinee, these models very dependent on data and required iterative training process to get a robust model whereas there are many and various examinee facial image like pose, lighting, etc. This problem makes the training process require large resources and take a long time. In this paper, we proposed automatic proctoring design for examinee verification that more flexible and efficient through face verification with key-face augmentation instead of face recognition. This proctoring design verifies the examinee's image with variations of key-face augmentation so that it does not require repeated training processes. As a result, the design of the proposed method is presented in this paper. © 2022 IEEE.

Modelling MIMO Transfer Functions for Analysis of the Relationship between Temperature and Air Humidity with the Number of Confirmation, Suspect and Probable COVID-19 in Surabaya

In Indonesia, the first case of COVID-19 was found on March 2, 2020. Until now, the Coronavirus (COVID-19) has become a severe concern to global public health. The number of confirmed, suspected, and probable cases of COVID-19 continues to grow. Surabaya is the city with the second-highest number of confirmed patients after Jakarta. Studies have also examined the influence between the transmission of COVID-19 and some climatic variables, which impacts the number of confirmations, suspects, and probable. This research analyzed the relationship between the number of COVID-19 cases with temperature and humidity in Surabaya. The results showed that climate variables that affect only air temperature affect the suspect value. Other variables that influence each other are the number of confirmations and suspects. From the accuracy value on the test data, it can be seen that the use of the MIMO transfer function can increase the accuracy value compared to the accuracy of the test data using the ARIMA method. © 2021 IEEE.