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<div style="font-size: 14pt;font-family: 'times new roman';text-align: center"><p style="line-height: 2">''ABSTRACT''</p></div>
 
<div style="font-size: 14pt;font-family: 'times new roman';text-align: center"><p style="line-height: 2">''ABSTRACT''</p></div>
  
<div style="font-size: 12pt;font-family: 'Coronavirus Disease-2019 or known by the abbreviation COVID-19 is one of the variants of the Coronavirus that first appeared in 2020 in Wuhan, China. With a high transmission rate and many modes of transmission that affect almost the entire world, the World Health Organization, known by the abbreviation WHO, declared COVID-19 a pandemic and ordered governments around the world to be careful in dealing with COVID-19. In crowded places, such as schools and offices, it is possible that some people are negligent in implementing health protocols.  
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'Coronavirus Disease-2019 or known by the abbreviation COVID-19 is one of the variants of the Coronavirus that first appeared in 2020 in Wuhan, China. With a high transmission rate and many modes of transmission that affect almost the entire world, the World Health Organization, known by the abbreviation WHO, declared COVID-19 a pandemic and ordered governments around the world to be careful in dealing with COVID-19. In crowded places, such as schools and offices, it is possible that some people are negligent in implementing health protocols.  
 
Therefore, the purpose of this research is to make a mask detection device to control students at Mathla'ul Anwar Vocational School to be required to use masks in the environment around the school, the benefit of this tool is to help prevent the spread of Covid-19 from students who do not use masks.
 
Therefore, the purpose of this research is to make a mask detection device to control students at Mathla'ul Anwar Vocational School to be required to use masks in the environment around the school, the benefit of this tool is to help prevent the spread of Covid-19 from students who do not use masks.
 
the basis of this research is to use the Rapid Application Development (RAD) method used as the main basis of research and OpenCV as well as through the Python language.  
 
the basis of this research is to use the Rapid Application Development (RAD) method used as the main basis of research and OpenCV as well as through the Python language.  

Revisi per 23 Februari 2023 13.26

 

FACE MASK DETECTION MENGGUNAKAN OPENCV

DENGAN PYTHON


LAPORAN KULIAH KERJA PRAKTEK




Disusun Oleh :

NIM
: 1933423872
NAMA
: AHMAD SATRIA



FAKULTAS SAINS DAN TEKNOLOGI

PROGRAM STUDI SISTEM KOMPUTER

CREATIVE COMMUNICATION AND INNOVATIVE TECHNOLOGY

UNIVERSITAS RAHARJA

TANGERANG

TA. 2022/2023




ABSTRAK

Coronavirus Disease-2019 atau dikenal dengan singkatan COVID-19 adalah salah satu varian Coronavirus yang pertama muncul pada tahun 2019 di Wuhan, Cina. Dengan tingkat penularan yang tinggi dan banyaknya cara transmisi yang menyebabkan hampir seluruh dunia terdampak, World Health Organization atau dikenal dengan singkatan WHO menetapkan COVID-19 sebagai pandemi dan menyuruh pemerintahan di seluruh dunia untuk berhati-hati dalam menangani COVID-19. Di tempat keramaian, seperti sekolah dan kantor, tidak menutup kemungkinan bahwa beberapa orang lalai dalam melaksanakan protokol kesehatan. pandemi COVID-19 masih banyak masyarakat yang tidak menggunakan masker di tempat publik. Oleh karena itu, tujuan penelitian ini adalah membuat alat pendeteksi masker untuk mengontrol siswa pada SMK mathla'ul anwar untuk wajib menggunakan masker di lingkungan sekitar sekolah, manfaat alat ini untuk membantu pencegahan penyebaran covid-19 dari siswa yang tidak menggunakan masker. dasar dari penelitian ini adalah menggunakan Metode Rapid Application Development (RAD) digunakan sebagai landasan utama penelitian serta OpenCV serta melalui bahasa Python. Penulis menerapkan program ini di SMK Mathla'ul Anwar, penulis memperoleh hasil bahwa pendeteksi masker ini dapat mengenali wajah dengan dan tanpa masker di sekitar lingkungan SMK Mathla'ul Anwar. Kesimpulan dari penelitian ini adalah program yang dibangun dengan library OpenCV dapat dijalankan secara real-time melalui kamera pengawas yang berguna untuk memantau pelaksanaan salah satu protokol kesehatan kita. yaitu penggunaan masker.

Kata Kunci: Deteksi Masker, , OpenCV, Python, Covid-19




ABSTRACT

'Coronavirus Disease-2019 or known by the abbreviation COVID-19 is one of the variants of the Coronavirus that first appeared in 2020 in Wuhan, China. With a high transmission rate and many modes of transmission that affect almost the entire world, the World Health Organization, known by the abbreviation WHO, declared COVID-19 a pandemic and ordered governments around the world to be careful in dealing with COVID-19. In crowded places, such as schools and offices, it is possible that some people are negligent in implementing health protocols. Therefore, the purpose of this research is to make a mask detection device to control students at Mathla'ul Anwar Vocational School to be required to use masks in the environment around the school, the benefit of this tool is to help prevent the spread of Covid-19 from students who do not use masks. the basis of this research is to use the Rapid Application Development (RAD) method used as the main basis of research and OpenCV as well as through the Python language. The author implemented this program at Mathla'ul Anwar Vocational School, the author obtained the result that this mask detector can recognize faces with and without masks around the Mathla'ul Anwar Vocational School environment. The conclusion from this research is that programs built with the OpenCV library can be run in real-time through surveillance cameras which are useful for monitoring the implementation of one of our health protocols. namely the use of masks. </p></div>

Keywords: Mask Detection, OpenCV, Python, Covid-19,





DAFTAR PUSTAKA

  1. Sheikhi, K., Shirzadfar, H., Sheikhi, M. (2020). A Review on Novel Coronavirus (Covid-19): Symptoms, Transmission and Diagnosis Tests. Research in Infectious Diseases and Tropical Medicine 9.
  2. Pane, S.F. 2020. Big Data Classification Behavior Menggunakan Python. Bandung: Kreatif Industri Nusantara.
  3. Zulkhaidi, T. C. A.-S., Maria, E., & Yulianto, Y. (2020). Pengenalan Pola Bentuk Wajah dengan OpenCV. Jurnal Rekayasa Teknologi Informasi (JURTI), 3(2), 181. https://doi.org/10.30872/jurti.v3i2.4033.
  4. Viner, R. M. et al. (2020). School Closure and Management Practices during Coronavirus Outbreaks Including COVID-19: A Rapid Systematic Review. The Lancet Child & Adolescent Health
  5. Atsani, K. H. L. G. M. Z. (2020). Transformasi media pembelajaran pada masa Pandemi COVID-19. Al-Hikmah: Jurnal Studi Islam, 1(1), 82±93.
  6. O. I. - AMIK BSI Bekasi and G. B. A. L. - AMIK BSI Bekasi, “Metode Rapid Application Development (RAD) pada Perancangan Website Inventory PT. SARANA ABADI MAKMUR BERSAMA (S.A.M.B) JAKARTA,” Evolusi J. Sains dan Manaj., vol. 6, no. 2, pp. 12–18, 2018, doi:
  7. Mulyadi. 2017. Sistem Informasi Akuntansi. Jakarta.
  8. Supriati, Ruli, Agus Salim Saputra dan Siti Shuhaibatul Islamiah. “Aplikasi Sistem Pengiriman Barang Ekspor Berbasis Web Pada PT. Tuntex Gar-ment Indonesia Tangerang Guna Meningkatkan Mutu Proses Pengiriman Ekspor Barang.”. Jurnal Sensi. Vol 4 nomor 1 . 2018 { definisi system}
  9. Budiman Putra AR. 2019. Computer vision & aplikasinya menggunakan C# & emguCV.
  10. OpenCV Team (2020). OpenCV. URL https://opencv.org/about/ (accessed 25 November 2020).
  11. Junaidi, Yuliyan Dwi Prabowo (2018). Project Sistem Kendali Elektronik Berbasis Arduino. AURA - Anugrah Utama Raharja.
  12. Fezari, M., Dahoud, A.A. (2018). Integrated Development Environment “IDE” For Arduino. Al-Zaytoonah University 12.
  13. Mingjie Jiang, Xinqi Fan and Hong Yan RETINAFACEMASK: A FACE MASK DETECTOR,June,2020.
  14. Prasetya, E. Ihsanto, and A. W. Dani, ―Rancang Bangun Pendeteksi Wajah Bermasker Dan Tidak Bermasker Dalam Absensi Di Masa Pandemi COVID-19 Menggunakan Convolutional Neural Network,‖ vol. 12, no. 1, pp. 37–44, 2021, doi: 10.22441/jte.2021.v12i2.006.
  15. Aprilian Anarki, K. Auliasari, and M. Orisa, ―Penerapan Metode Haar Cascade Pada Aplikasi Deteksi Masker,‖ JATI (Jurnal Mhs. Tek. Inform., vol. 5, no. 1, pp. 179–186, 2021, doi: 10.36040/jati.v5i1.3214




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