RANCANG BANGUN SISTEM KENDALI SIRKULASI UDARA DAN PEMBATASAN JUMLAH PELANGGAN TOKO DI MASA PANDEMI COVID-19 MENGGUNAKAN LOGIKA FUZZY SUGENO BERBASIS IoT

AL HANIF, LABIQ and Ubaya, Huda and Prasetyo, Aditya Putra Perdana (2021) RANCANG BANGUN SISTEM KENDALI SIRKULASI UDARA DAN PEMBATASAN JUMLAH PELANGGAN TOKO DI MASA PANDEMI COVID-19 MENGGUNAKAN LOGIKA FUZZY SUGENO BERBASIS IoT. Undergraduate thesis, Sriwijaya University.

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Abstract

The emergence of the COVID-19 pandemic in early 2020 had a major impact on human life on a global scale. Many actions and policies are aimed at anticipating transmission and breaking the chain of the spread of the COVID-19 virus, thus requiring store owners to implement various health protocols. This study discusses the monitoring system for the condition of the storeroom in real-time with the IoT concept, and the implementation of Sugeno fuzzy logic in controlling the speed of the exhaust fan motor to circulate air in the room and limit the number of customers during the COVID-19 pandemic based on conditions of temperature, humidity, and many people in the storeroom.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Exhaust fan, Logika Fuzzy Sugeno, COVID-19, Thinger.io
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Labiq Al Hanif
Date Deposited: 13 Sep 2021 07:49
Last Modified: 13 Sep 2021 07:49
URI: http://repository.unsri.ac.id/id/eprint/53730

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