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All Journal Journal of Computer Networks, Architecture and High Performance Computing Community: Jurnal Pengabdian Pada Masyarakat
Adi Fajaryanto C
Universitas Muhammadiyah Ponorogo
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media

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PELATIHAN DAN IMPLEMENTASI SISTEM INFORMASI WEBSITE DESA ILO-ILO Ismail Abdurrozzaq Z; Adi Fajaryanto C; M.Bhanu Setyawan
Community : Jurnal Pengabdian Pada Masyarakat Vol 2 No 2 (2022): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.907 KB)

Abstract

Desa ilo-ilo merupakan salah satu desa di Kabupaten Ponorogo yang merupakan desa berkembang, dimana desa berkembang merupakan desa yang diberikan otonomi untuk mengelola salah satunya penerapan teknologi dan komunikasi secara digitalisasi. Desa ilo-ilo juga merupakan salah satu desa wisata yang letaknya paling selatan kabupaten ponorogo yang berbatasan langsung dengan kabupaten pacitan. Desa ilo-ilo memiliki potensi dibidang pertanian, perkebunan dan wisata. Hal tersebut menjadi acuan untuk ditingkatkannya system informasi dan komunikasi untuk mendukung peningkatan potensi desa ilo-ilo. Untuk itu dibentuk suatu wadah digital berupa website yang mengelola segala macam informasi dan komunikasi yang berhubungan dengan pelayanan dan potensi desa ilo-ilo, sehingga masyarakat akan paham dan melek terhadap kemajuan teknologi informasi dan komunikasi di desa ilo-ilo.
Integration Of Open CV LBF Model To Detect Masks In Health Protocol Surveillance Systems Yovi Litanianda; Moh Bhanu Setyawan; Adi Fajaryanto C; Ismail Abdurrozzaq Z; Charisma Wahyu Aditya
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3460

Abstract

The Corona Viruses Diseases pandemic that was rife in early 2020 and hit many countries caused discipline to be applied to health protocols. The prevention of physical contact between humans gave rise to new traditions in aspects of human life. Almost all public facilities in Indonesia require visitors to wear masks as a means of preventing exposure to viruses in the air. However, this advice is often ignored by some people. In addition to endangering many people, this condition also makes public facility managers need extra resources in the form of time, energy and costs to ensure this health protocol is implemented. The existence of these problems triggers the emergence of innovations to present a system that provides assurance and convenience in ensuring compliance with health protocols for the use of masks through creative and effective methods. This method is done by utilizing CCTV cameras or webcams at the entrance equipped with an Artificial Intelligence program designed to be able to detect the use of masks on visitors to public facilities, and without the need for other sensors. The detection system is built on the concept of facial biometrics and utilizes the OpenCV LBF model to detector landmarks on a person's face. Based on tests conducted through several scenario, it can be said that the open CV LBF model successfully identified the use of masks within 35 seconds, increasing the reading distance to 2 meters making the process longer. In addition, in indoor lighting conditions, the system experienced 1 detection error with a process time of 18 seconds, while for well-light outdoor conditions the system managed to detect all objects within 10 seconds.
Co-Authors Charisma Wahyu Aditya M.Bhanu Setyawan Moh Bhanu Setyawan Yovi Litanianda Zulkarnain, Ismail Abdurrozzaq