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All Journal Ethos Sistemasi: Jurnal Sistem Informasi Journal of Information Technology and Computer Science (JOINTECS) Jurnal CoreIT DoubleClick : Journal of Computer and Information Technology JUKI : Jurnal Komputer dan Informatika Jurnal Teknik Informatika (JUTIF) ABSYARA: Jurnal Pengabdian Pada Masyarakat International Journal Education and Computer Studies Dedikasi: Jurnal Pengabdian Kepada Masyarakat Room of Civil Society Development
Muhammad Furqan Rasyid
Universitas Dipa Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Sistemasi: Jurnal Sistem Informasi

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Utilization of Telegram application As an Information Media Face Mask Detection Result Muhammad Furqan Rasyid; Andi Asvin Maherssatillah Suradi; Arham Arifin; Muhammad Rizal; Mushaf Mushaf
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i1.2264

Abstract

To know the results of the face mask detection system, one must be near a computer. This problem makes it difficult to reprimand and provide face masks to violators. One of the ways to prevent the spread of the virus is to wear a mask. This study focuses on making a face mask detection system connected to a cellular device. This study aims to make obtaining information more effortless, and monitoring officers can find out from a smartphone. As a medium of communication, we use the telegram application. Smartphone users widely use this application compared to existing messaging media applications. This study uses the YoloV4 algorithm to detect face mask and JSON to send information to the telegram application. The test consists of two stages, the first stage is to determine the accuracy of the face mask detection system and the second stage is to determine the average time required until the information is sent. The two tests performed obtained 97.57% and 0.255 seconds, respectively. The test results show that the system created can solve the existing problems. The researcher can do further research by increasing the number of datasets to increase the accuracy of face mask detection.Keywords: Face Mask Detection, JSON, Telegram Application, YoloV4 Algorithm. 
Co-Authors Anak Agung Gede Sugianthara Andi Asvin Mahersatillah Suradi Arham Arifin Arham Arifin Arwansyah Arwansyah Asmah Akhriana Erfan Hasmin Harlina, Sitti Heriadi Heriadi Imran Djafar Indra Samsie Komang Aryasa M. Syukri Mustafa Muhammad Rizal Muhammad Rizal Muhammad Rizal Muhammad Sabirin Hadis Muhammad Syukri Mustafa Mushaf Mushaf Mushaf Mushaf Novita Sambo Layuk Nurul Aini Samsu Alam Santi Santi Sitti Aisa SRI WAHYUNINGSIH PIU Sriwahyuningsi Piu Suci Ramadhani Arifin Sunardi Sunardi Wilem Musu Wilem Musu