![]() ![]() The findings reveal a multi-faceted and very clear picture of Telegram Messenger as an informal form of virtual learning media. This quantitative study applies convenience sampling and adapts Kusuma and Suwartono's (2021) survey questionnaire to collect data. Thus, this study explores EFL law students' views of the usability of Telegram Messenger in a Telegram-supported legal terminology course. Despite the prolific literature on the effectiveness and usability of social media platforms, including Telegram, in EFL contexts, very little research has been done on the impact of Telegram Messenger on language development in general and the vocabulary development of ESP students. The hypothesis is that social media platforms, including Facebook, Twitter, and Telegram, have positive impacts on the development of reading, writing, and communication skills, as well as the vocabulary development of EFL students. In recent years, there has been an increasing tendency for educational institutions and EFL instructors to integrate social media platforms in English language learning environments. The researcher can do further research by increasing the number of datasets to increase the accuracy of face mask detection.Keywords: Face Mask Detection, JSON, Telegram Application, YoloV4 Algorithm. The test results show that the system created can solve the existing problems. The two tests performed obtained 97.57% and 0.255 seconds, respectively. The test consists of two stages, the first stage is to determine the accuracy of the face mask detection system and the second stage is to determine the average time required until the information is sent. This study uses the YoloV4 algorithm to detect face mask and JSON to send information to the telegram application. Smartphone users widely use this application compared to existing messaging media applications. As a medium of communication, we use the telegram application. This study aims to make obtaining information more effortless, and monitoring officers can find out from a smartphone. This study focuses on making a face mask detection system connected to a cellular device. One of the ways to prevent the spread of the virus is to wear a mask. This problem makes it difficult to reprimand and provide face masks to violators. To know the results of the face mask detection system, one must be near a computer. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |