Tugas Akhir Informatika
Sistem IoT Protokol Kesehatan Depan Toko Menggunakan Raspberry Pi Camera dan Haar Cascade Classifier
Abstract The Covid-19 health protocol is a regulation by
government to feel safer doing activities during Covid-19
pandemic. Generally, spread of Covid-19 occurs in public
places, one of which is a shop. By building an IoT system, so
system able to detect early on the potential for someone to
contract Covid-19 by detecting body temperature and mask
when entering a store. Shop owners can see people who have
the potential for Covid-19 and customers who are wrong/not
wearing masks, using IoT functions to send data between
sensors so that shop owners can monitor website-based systems.
From the test results, the success rate of tools and algorithms is
78.38% of data that successfully detects temperature and
masks, then there are 29.62% of data that fail to detect masks
and temperatures. The data is then recorded in a JSON file
which will be displayed into a website-based information
system
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Informasi Detail
- Judul Seri
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- No. Panggil
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- Penerbit
- : ., 2021
- Deskripsi Fisik
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- Bahasa
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Indonesia
- ISBN/ISSN
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- Klasifikasi
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NONE
- Tipe Isi
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- Tipe Media
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- Tipe Pembawa
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- Edisi
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Edisi 1 Jilid 1
- Subjek
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