1. Home
  2. Vol 24, No 1 (2023)
  3. Taufiq

Prototipe Alat Pendeteksi Pengguna Masker Sebagai Upaya Pencegahan Covid-19

Arif Johar Taufiq, Latiful hayat, Susiyadi Susiyadi

Abstract


Upaya pencegahan penyebaran virus Covid-19 salah satunya dapat dilakukan  dengan cara  memakai masker, terutama diruang publik. Pengawasan terhadap sesorang memakai masker atau tidak memakai masker sangat membosankan terutama jika orang yang diawasi sangat banyak misalnya di terminal, bandara dan sebagainya. Oleh karena itu diperlukan terobosan alat untuk membantu pengawasan terhadap seseorang memakai masker atau tidak memakai masker untuk mengurangi beban kerja pengawas, dan alat dapat bekerja 24 jam tanpa lelah.  Implementasi detektor masker pada penelitian ini menggunakan cara cepat dengan memanfaatkan google teachable machine. Hasil pengujian alat dapat mendeteksi seseorang memakai masker atau tidak memakai masker dengan tingkat kebenaran 100% baik pada obyek riil maupun obyek berupa foto atau video di komputer.


References


[1] X. Rizki, Saraswati Anindita ., Andree Kurniawan., 2020., Efficacy of Cloth Mask in Reducing COVID-19 Transmission: A Literature Review, Jurnal Kesehatan Masyarakat Nasional Kesmas, Vol 15 No 2.
[2] Joachim D Pleil, Jonathan D Beauchamp., et al., 2020, The scientific rationale for the use of simple masks or improvised facial coverings to trap exhaled aerosols and possibly reduce the breathborne spread of COVID-19, Vol 4 No.3, Journal of Breath Research.
[3] R. Davies, A., Thompson, K., Giri, K., Kafatos, G., Walker, J., & Bennett, A., 2013. Testing the Efficacy of Homemade Masks: Would They Protect in an Influenza Pandemic? Disaster Medicine and Public Health Preparedness, 7(4), 413-418
[4] D. Sari, Devi Pramita., Nabila Sholihah ‘Atiqoh., 2020., Hubungan Antara Pengetahuan Masyarakat Dengan Kepatuhan Penggunaan Masker Sebagai Upaya Pencegahan Penyakit COVID-19 Di Ngronggah, INFOKES, VOL 10 NO 1, FEBRUARI2020, ISSN : 2086 -2628.
[5] Lambacing, M. and Ferdiansyah, F. 2020. Rancang Bangun New Normal Covid-19 Masker Detektor Dengan Notifikasi Telegram Berbasis Internet Of Things. Dinamik. 25, 2 (Jul. 2020), 77-84. DOI: https://doi.org/10.35315/dinamik.v25i2.8070
[6] Dana H. Ballard; Christopher M. Brown ., 1982. Computer Vision. Prentice Hall.
[7] Pulli, Kari; Baksheev, Anatoly; et al., 2012., Realtime Computer Vision with OpenCV: Mobile computer-vision technology will soon become as ubiquitous as touch interfaces. ACM Queue Digital Library Journal.
[8] Bengio, Y.; Courville, A.; Vincent, P. 2013. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (8): 1798–1828.
[9] Ciresan, D.; Meier, U.; Schmidhuber, J., 2012. Multi-column deep neural networks for image classification. 2012 IEEE Conference on Computer Vision and Pattern Recognition. pp. 3642–3649.
[10] Chen, Yung-Yao; Lin, Yu-Hsiu; Kung, Chia-Ching; Chung, Ming-Han; Yen, I-Hsuan. 2019. "Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes" ., Sensors 19, no. 9: 2047.
[11] Matusugu, Masakazu; Katsuhiko Mori; Yusuke Mitari; Yuji Kaneda., 2003. "Subject independent facial expression recognition with robust face detection using a convolutional neural network". Jurnal Neural Networks, Volume 16, Issues 5–6, June–July 2003, Pages 555-559.
[12] G. Jignesh Chowdary, et al., 2020., Face Mask Detection using Transfer Learning of InceptionV3.,Cornell University, https://arxiv.org/abs/2009.08369v2
[13] Loey, Mohamed Loey, et al., 2020., A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic, Science Direct Measurement, Volume 167, 2021, 108288, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2020.108288. Published online 2020 Jul 28. doi: 10.1016/j.measurement.2020.108288


Full Text: PDF

DOI: 10.30595/techno.v24i1.11174

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2579-9096