Social Distance Monitoring System Using YOLO and Pixel-to-real-world Distance Mapping

Covid-19 is an infectious disease caused by the recently discovered coronavirus. This virus spreads through droplets produced when an infected person coughs, sneezes, or exhales. A person can be infected by breathing air containing the virus if a person is too close to someone who is already infected with Covid-19. A person can also be infected by touching contaminated surfaces and then touching their eyes, nose, or mouth. Social distancing is to reduce the spread of viruses, other than washing hands and wearing a mask. With the help of Computer Vision Technology, it can monitor the safe distance of human activities in a particular area or environment. The problem is to determine the safe distance in a pixel-based digital image. The difference in the same pixel distance does not always mean the actual distance between adjacent objects is the same. It must consider the actual distance to the camera. Since social distancing requires someone to keep a certain distance from another, a web-based application with a Convolutional Neural Network (CNN) algorithm is employed using the You Only Look Once (YOLO) and Pixel-to-real-world distance mapping technique. In testing, there are several test scenarios with the accuracy results obtained of 95% with a recall of 0.95 and a precision of 0.92, and MAE 5.9 cm. © 2022 IEEE.

LINE Chatbot For Covid-19 Wellness Support using Sentence Similarity Measurement

The development of Mobile Applications in Indonesia is proliferating, especially in the development of Information Technology (IT) through social media and Instant Messaging (IM). The chatbot feature in some IMs is used daily to obtain information, one of which is LINE Messenger. Based on a survey conducted by authors to 221 respondents, the average number of respondents was 75.1% who were LINE users. In addition, the Covid-19 outbreak has hit the world. Covid-19 is a pandemic that is happening in many countries around the world. Therefore, many people are worried about the impact, and the authority must be ready to overcome the problem caused by this. Various research and collaborative efforts for Covid-19 wellness support by utilizing IT were conducted. This paper reports the use of LINE Chatbot as a platform to support the Covid-19 wellness program with the Sentence Similarity Measurement method. In addition to the chatbot, we created a website to make it easier for users to access the chatbot and obtain information generated from user queries. The accuracy rate of the SSM method for the Covid-19 chatbot is 85.71% in responding to user natural language questions. © 2022 IEEE.

Ratcliff/Obershelp Algorithm as An Automatic Assessment on E-Learning

There have been many major changes in the education sector due to the closure of educational institutions to suppress the spread of the Covid 19 pandemic, one of which is teaching methods in Indonesia. Problems arise when schools have to use e-learning for students and online assessments have to be done. It is known that difficulties are experienced when taking semester exams or when teachers give assignments online. This study applies text mining techniques using the Ratcliff/ Obershelp algorithm to determine the similarity value between two strings, namely between student answers and the teacher's answer key. A collection of answer data obtained from one of the 6th grade teachers at elementary school and applied to the Examz web application. This application is built to find out the status of answers based on the error tolerance that has been predetermined by the teacher. The results of this study indicate that the Ratcliff/ Obershelp algorithm has achieved a correction accuracy rate of 90% in Natural Science subjects, 93% in social science, 83% in Civil Education, 91% in SBK, and 97 in Religion. The final result for the average accuracy of the application is 91.00% in determining the status of student answers. © 2021 IEEE.