SISTEM PEMANTAUAN PENGGUNAAN PROTOKOL KESEHATAN COVID-19 MENGGUNAKAN METODE HAAR CASCADE DAN NEURAL NETWORK
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.
References
[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.
Copyright (c) 2021 Jurnal Qua Teknika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License