Sistem Penguncian Cerdas Pada Pintu Berbasis Face Recognition
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Abstract
The aims of the study were to design and implement a face recognition-based on the door locking system by using a template matching algorithm to recognize faces. The data was obtained through library research. The method used in facial recognition based on intelligent locking systems is an experimental method to produce a product and the effective test of locking doors to make it safer. The results of the study indicate that the intelligent door locking system which is implemented in a miniature door prototype results in facial matching testing for 10 people, which consist of 8 men and 2 women. In the testing stage, 5 face images registered in the database were used by getting a system accuracy of 92%, and images that did not match the database got an accuracy of 96%.
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References
- Arafah, Muhammad & Achmad, Andani & Amirullah, Indrabayu & Areni, Intan. (2020). Face Identification System Using Convolutional Neural Network for Low Resolution Image. 55-60. 10.1109/Comnetsat50391.2020.9328967.
- A. Apriansyah, Ilhamsyah, dan T. Rismawan. 2016. Prototype Kunci Otomatis Pada Pintu Berdasarkan Suara Pengguna Menggunakan Metode KNN (K-Nearest Neighbor), J. Coding, Sist. Komput. Untan, vol. 04, no. 1, pp. 45–56.
- Djamar, A. S., Sompie, S. R. U., & Putro, M. D. 2017. Implementasi Teknologi NFC Untuk Akses Pintu Masuk dan Keluar. Jurnal Teknik Informatika, 11.
- Widya Dharma, G., Piarsa, I. N., dan Agus Dwi Suarjaya, I. M., 2018. Kontrol Kunci Pintu Rumah Menggunakan Raspberry Pi Berbasis Android. Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), 6(3), 159.
- Muchtar, H., dan Apriadi, R. 2019. Implementasi Pengenalan Wajah Pada Sistem Penguncian Rumah dengan Metode Template Matching Menggunakan Open Source Computer Vision Library. Resistor Tek. Elektro, Universitas Muhammadiyah Jakarta, 39–42.
- D. Hirawan dan M. F. Wicaksono. 2018. Implemetasi Kunci Pintar Berbasis Smartphone Android, vol. 15, no. 2, pp. 247–254.
- Adnyana, I N. Piarsa, and K. S. Wibawa.2018. ‘Internet of Things : Control and Monitoring
- System of Chicken Eggs Incubator Using Raspberry Pi’.International Journal of Internet of Things.7(1), pp. 16–21.
- Budiharto, Widodo.2006. Perancangan Sistem dan Aplikasi Mikrokontroler .Elex Media Komputido: Jakarta.
- Sitohang, A., dan Taufik, I.,2018. Pendeteksian Wajah Manusia Pada Citra Digital Menggunakan Template Matching. Jutikomp, 1(No. 2), 81–86.