Rancang Bangun Alat Deteksi Masker, Deteksi Suhu Badan dan Sprayer Disinfektan Sebagai Pendisiplin Protokol Kesehatan Di Lingkungan Sekolah

Anang Habibi, Fadhillah Aris Ramadhan Ginting, Royyan Putra Prasetyo

Abstract


COVID-19 has swept the world for almost two years. The increase in COVID-19 cases is caused by the lack of public compliance with health protocols. Schools are places where teachers and students gather; some schools in certain zones are permitted by the government to carry out teaching and learning activities face-to-face but still under strict health protocols. Parents are still worried that their children will catch COVID-19 at school because of the school community's neglect of health protocols; robots play an important role in reducing the chain of COVID-19 cases. Through this research, the authors innovate by using cameras to help monitor school residents to comply with health protocols in wearing masks, infrared sensors for hand detection when washing hands and MLX90614 sensors to measure body temperature so that those who do not adhere to the health protocol disciplinary tools are not allowed to enter the school area.

Keywords


Camera, infrared sensor, MLX90614, COVID-19, Mask detection

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References


Zai RA. Sistem Deteksi Masker Wajah Menggunakan Metode Viola Jones dan Convolutional Neural Networks (CNN) (Doctoral dissertation, Universitas 17 Agustus 1945 Surabaya).

Zailani AU, Perdananto A, Nurjaya N, Sholihin S. Pengenalan Sejak Dini Siswa SMP tentang Machine Learning untuk Klasifikasi Gambar dalam Menghadapi Revolusi 4.0. KOMMAS: Jurnal Pengabdian Kepada Masyarakat. 2020 Feb 27;1(1).

Naibaho KE. Pengukur Suhu Tubuh Secara Tak Sentuh Menggunakan Sensor Suhu IR Noncontact MLX90614 Berbasis Arduino Nano.


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