Deteksi Suhu Tubuh dan Masker untuk Kendali Portal Otomatis Menggunakan Machine Learning

Authors

  • Arif Johar Taufiq [SCOPUS ID: 57204199806] Universitas Muhammadiyah Purwokerto, Indonesia http://orcid.org/0000-0001-8023-8796
  • Tito Pinandita Universitas Muhammadiyah Purwokerto, Indonesia
  • Susiyadi Susiyadi Universitas Muhammadiyah Purwokerto, Indonesia
  • Juanita Juanita Universitas Muhammadiyah Purwokerto, Indonesia

DOI:

https://doi.org/10.30595/techno.v24i2.19267

Keywords:

Mask detection, Temperature detection, Machine learning, Automatic portal, MLX90614 temperature sensor

Abstract

Pendemi Covid-19 pernah terjadi di akhir tahun 2019, walau pandemi sudah berlalu untuk usaha pencegahan kasus yang sama maka pengecekan suhu tubuh dan masker masih diberlakukan terutama ditempat publik misalnya di kantor perbankan dan sebagainya dan kenyataanya virus dapat bermutasi dan pernah ditemukan variannya. Penelitian ini merupakan penelitian lanjutan dari penulis tentang deteksi masker  dengan menambahkan fitur pengecekan suhu tubuh untuk kontrol otomatis sistem buka tutup portal. Implementasi sistem dilakukan di mesin android model hasil pelatihan deteksi masker dilatih menggunakan machine learning dan deteksi suhu menggunakan sensor non kontak MLX90614. Berdasarkan pengujian sistem telah bekerja dengan baik, portal akan membuka secara otomatis jika pengunjung menggunakan masker dan suhu tubuh dibawah 37,5 oC.

Author Biography

Arif Johar Taufiq, [SCOPUS ID: 57204199806] Universitas Muhammadiyah Purwokerto, Indonesia

SintaID : 6029938

Google Scholar: DuC1y40AAAAJ

Scopus ID 57204199806

ORCID number: https://orcid.org/0000-0001-8023-8796

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Published

2023-10-11