SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK

  • Alif Yudhistira Putra Bayu Politeknik Negeri Sriwijaya
  • Suroso Politeknik Negeri Sriwijaya
  • Sholihin Politeknik Negeri Sriwijaya
https://doi.org/10.35457/quateknika.v11i2.1686
Abstract views: 364 , PDF downloads: 286
Keywords: COVID-19, Mask Detection, Machine Learning, Monitoring, Prototype

Abstract

SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK

COVID-19 is the biggest health problem that occurs in the world today, this virus with its rapid spread and strong resistance has claimed many lives. One way to prevent the rapid spread of this virus is to break the chain of its spread, and always complying with the COVID-19 Health protocol. Some examples of the COVID-19 Health Protocol are the use of masks, normal body temperature, always washing hands, and others. However, public awareness of compliance is still very low, so the COVID-19 pandemic has not ended until now. The best solution at this time is to monitor and ensure the use of the COVID-19 Health protocol. However, with the advancement of technology now and minimizing human contact, the author created a MONITORING SYSTEM FOR THE USE OF COVID-19 HEALTH PROTOCOL USING HAAR CASCADE AND NEURAL NETWORK METHODS that use machine learning technology so that there will be no contact between humans. With this tool, the author hopes that it can reduce the spread of COVID-19 and can end it so that all people can return to normal activities without being disturbed by virus disturbances.

Author Biographies

Alif Yudhistira Putra Bayu, Politeknik Negeri Sriwijaya

Program Studi D4 Teknik Telekomunikasi, Teknik Elektro, Politeknik Negeri Sriwijaya

Jl. Srijaya Negara, Bukit Lama, Bukit Besar, Kota Palembang, Sumatera Selatan 30139

Suroso, Politeknik Negeri Sriwijaya

Program Studi D4 Teknik Telekomunikasi, Teknik Elektro, Politeknik Negeri Sriwijaya

Jl. Srijaya Negara, Bukit Lama, Bukit Besar, Kota Palembang, Sumatera Selatan 30139

Sholihin, Politeknik Negeri Sriwijaya

Program Studi D4 Teknik Telekomunikasi, Teknik Elektro, Politeknik Negeri Sriwijaya

Jl. Srijaya Negara, Bukit Lama, Bukit Besar, Kota Palembang, Sumatera Selatan 30139

References

[1] Kemenkes. (2020, March 01). “Apakah Coronavirus dan COVID-19 itu?”: https://www.kemkes.go.id/

[2] KEPUTUSAN MENTERI KESEHATAN REPUBLIK INDONESIANOMOR HK.01.07/MENKES/382/2020

[3] Yudhanto, Yudha. 2007. “Apa itu IOT (Internet Of Things)?” Komunitas eLearning IlmuKomputer.Com

[4] Xia, Feng. Yang, Laurence T., Wang, Lizhe, & Vinel, Alexey. 2012. “Internet of Things”. Internasional Journal of Communication Systems.

[5] Wisesa, Lintang (2019, November 25). Retrieved February 12, 2021, “OpenCV Face Recognition Berbasis Algoritma Haar Cascade” : https://medium.com/purwadhikaconnect/opencv-face-recognition-berbasis-algoritma-haar-cascade-1a5e23d9e8cb

[6] R. Syam, Dasar Dasar Teknik Sensor. 2013.

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Published
2021-09-01
How to Cite
Bayu, A. Y. P., Suroso, & Sholihin. (2021). SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK. Jurnal Qua Teknika, 11(2), 32 - 46. https://doi.org/10.35457/quateknika.v11i2.1686
Issue
Vol. 11 No. 2 (2021): September 2021
Section
Articles

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