WANSYA, RAHMUDJA and Khairul, Saleh and Hadi, Hadi (2022) RANCANG BANGUN SMART GATE BERBASIS MIKROKONTROLER DENGAN INTERNET OF THINGS UNTUK PENCEGAHAN PENULARAN VIRUS COVID-19. Undergraduate thesis, Sriwjaya University.
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Abstract
Virus Covid-19 is still a concern for Indonesia and the whole world because of the spread cases and various virus variants that continue to emerge. Optimizing security to reduce the spread of the Covid-19 requires a Smart Gate that is automatically configured with body temperature data and can be monitored in real time using the internet of things, which will later be displayed on the website and provide warning notifications to Telegram. The gate which is driven by a servo motor will work after the name data and temperature data are accessed, then move open at normal temperatures (35◦ � - 37 ◦ �) and keep it closed and send notifications to telegram using the help of bot in abnormal temperature conditions (below 35◦ � and above 37◦ °�). All data (name, temperature, door status) that will be displayed on the website and warning notifications are connected to WiFi using ESPCAM-32 as a WiFi module. With 30 data, the percentage of success of the gate that is driven by a servo motor is 100% because data displayed on the website can also be accessed in real time and warning notifications are sent with a message (“Name, Abnormal Temperature of Closed Door) corresponds to the output of the design.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Fisika,Internet of Things,Arduino Uno |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering > T56.3 Industrial engineering as a profession. Industrial engineers. Management consultants Study and teaching |
Divisions: | 08-Faculty of Mathematics and Natural Science > 45201-Physics (S1) |
Depositing User: | Wansya Rahmudja |
Date Deposited: | 22 Dec 2023 03:44 |
Last Modified: | 22 Dec 2023 03:44 |
URI: | http://repository.unsri.ac.id/id/eprint/131565 |
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