Door Security System Menggunakan Teknologi Biometric Face Recognition
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Published
May 30, 2021
Abstract
Penelitian ini bertujuan untuk merancang sistem keamanan pintu menggunakan pengenalan wajah secara otomatis menggunakan Raspberry Pi sebagai pusat pengendali. Prinsip kerja alat ini adalah menggunakan webcam yang didukung oleh Raspberry Pi untuk dapat mendeteksi dan mengidentifikasi wajah menggunakan pemrograman Python. Dalam pengenalan wajah digunakan metode Viola-Jones, dimana akan dicari titik penting dari citra dengan citra yang ada di database, kemudian dilakukan pencocokan citra. Raspberry Pi berfungsi sebagai kontrol utama untuk mengolah data yang diterima dari webcam dan pushbutton untuk kemudian diteruskan ke relay untuk menggerakkan solenoid door lock untuk mengunci pintu, mengaktifkan buzzer, mengaktifkan motor untuk membuka dan menutup pintu serta mengirimkan notifikasi berupa pesan ke perangkat HP atau laptop melalui aplikasi Pushbullet.
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How to Cite
Azhari, F. A. and Mukhaiyar, R. (2021) “Door Security System Menggunakan Teknologi Biometric Face Recognition”, Ranah Research : Journal of Multidisciplinary Research and Development, 3(3), pp. 166-173. doi: 10.38035/rrj.v3i3.397.
References
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D.A. Putra, R. Mukhaiyar. (2020) "Monitoring Daya Listrik Secara Real Time", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp.26-34.
D.E. Myori, R. Mukhaiyar, E. Fitri. (2019). “Sistem Tracking Cahaya Matahari pada Photovoltaic”, INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 19, iss. 1, pp. 9-16.
D. Frenza, R. Mukhaiyar, “Aplikasi Pengenalan Wajah Menggunakan Metode Adaptive Resonance Theory (ART) Pergerakan Autonomous Pesawat Tanpa Awak Berdasarkan Tinggi Terbang Pesawat”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 3, pp. 35-42.
F. Ramadhan, I. Ardiansah, and R. Kastaman. (2021). “Perancangan Purwarupa Alat Penyiraman Otomatis pada Tanaman Pisang dengan Internet of Things (IoT),” J. Rekayasa Sist. Ind., vol. 8, no. 2, pp. 75–80, 2019, doi: 10.26593/jrsi.v8i2.3224.75-80.
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H. Aulia, R. Mukhaiyar, “A New Design of Handless Stirred Device”, Proceeding 4th International Conference on Technical and Vocational Education and Training (TVET), pp. 579-582, 2017.
Junaidi, A. (2016). Internet of Things, Sejarah, Teknologi dan Penerapannya. Jurnal Ilmiah Teknologi Informasi, 62–66.
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M.S. Yoski, R. Mukhaiyar. (2020). "Prototipe Robot Pembersih Lantai Berbasis Mikrokontroller dengan Sensor Ultrasonik", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 158-161, 2020.
M. Syukri, R. Mukhaiyar. (2021). “Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 2, pp. 56-64, 2021.
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Raspberrypi.org.”RaspberryPiDocumentation”.https://www.raspberrypi.org/documentation/ , diakses pada 10 September 2020.
R.C.J. Wydmann, R. Mukhaiyar. (2020). "Augmented Reality dalam Penggunaan Alat Rumah Tanggal Berbasis Internet Of Things", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp.84-91, 2020.
R.F. Ramadhan, R. Mukhaiyar. (2020). "Penggunaan Database Mysql dengan Interface PhpMyAdmin sebagai Pengontrolan Smarthome Berbasis Raspberry Pi", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 129-134, 2020.
Ridwan, Assad. (2015). Sistem Pengaman Pintu Rumah Otomatis Via SMS berbasis mikrokontroler ATMega328p. Semarang: Jurnal Teknologi dan Sistem. Vol. 3(1): 1-7
R. Kurnia, R. Mukhaiyar. (2021). “Implementasi Metode Fast Fourier Transform Pada Sistem Monitoring Voltage Flicker”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 3, pp. 16-26, 2021.
R. Mukhaiyar. (2017). “Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia”, International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151, 2017.
R. Mukhaiyar. (2010). “Klasifikasi Penggunaan Lahan dari Data Remote Sensing”, Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16, 2010.
R. Mukhaiyar. (2015). “Cancellable Biometric using Matrix Approaches”, Theses in Newcastle Univesity, UK, 2015.
R. Mukhaiyar. (2017). “The Comparation of Back Propagation Method and Kohon Method for Gas Identification”, International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103, 2017.
R. Mukhaiyar. (2019). “Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification”, International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251, 2019
R. Mukhaiyar. (2011). “Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image”, International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758, 2011.
R. Mukhaiyar. (2017). “Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint”, International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150, 2017.
R. Mukhaiyar. (2017). “Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004”, International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123, 2017.
R. Mukhaiyar. (2017). “The Comparation of Back Propagation Method and Kohon Method for Gas Identification”, International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103, 2017.
R. Mukhaiyar. (2018). “Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements”, Asian Social Sciences, vol. 14, no. 6, pp. 1-20, 2018
R. Mukhaiyar, R. Safitri. (2019). “Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System”, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar, S.S. Dlay, W.L. Woo. (2014). “Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations”, Proceeding of ELMAR-2014, pp. 1-4, 2014
R. Mukhaiyar, Syawaludin. (2019). “Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation”, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
S.M. Liusmar, R. Mukhaiyar. (2020). "Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp. 43-49, 2020.
Wilianto, W., & Kurniawan, A. (2018). Sejarah, Cara Kerja Dan Manfaat Internet of Things. Matrix : Jurnal Manajemen Teknologi Dan Informatika, 8(2), 36. https://doi.org/10.31940/matrix.v8i2.818
Zikrillah, Engla. (2016). Sistem Pengunci Pintu Dengan RFID dan Keypad. Padang: Politeknik Negeri Padang.
Aziz, Al A.R., dan Joko Purnomo. (2016). Desain dan prototipe kunci pintu otomatis menggunakan RFID berbasis Arduino Uno. Jurnal Ilmiah Informatika dan Komputer. Vol. 21(2): 86-93
D.A. Putra, R. Mukhaiyar. (2020) "Monitoring Daya Listrik Secara Real Time", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp.26-34.
D.E. Myori, R. Mukhaiyar, E. Fitri. (2019). “Sistem Tracking Cahaya Matahari pada Photovoltaic”, INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 19, iss. 1, pp. 9-16.
D. Frenza, R. Mukhaiyar, “Aplikasi Pengenalan Wajah Menggunakan Metode Adaptive Resonance Theory (ART) Pergerakan Autonomous Pesawat Tanpa Awak Berdasarkan Tinggi Terbang Pesawat”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 3, pp. 35-42.
F. Ramadhan, I. Ardiansah, and R. Kastaman. (2021). “Perancangan Purwarupa Alat Penyiraman Otomatis pada Tanaman Pisang dengan Internet of Things (IoT),” J. Rekayasa Sist. Ind., vol. 8, no. 2, pp. 75–80, 2019, doi: 10.26593/jrsi.v8i2.3224.75-80.
Ginta, Wira., dan Sapri. (2011). Akses Pintu Mneggunakan Kartu Lobang Terintegrasi Berbasis Mikrokontroller AT89C51. Bengkulu: Jurnal Media Infotama. Vol. 7(2): 154-174.
H. Aulia, R. Mukhaiyar, “A New Design of Handless Stirred Device”, Proceeding 4th International Conference on Technical and Vocational Education and Training (TVET), pp. 579-582, 2017.
Junaidi, A. (2016). Internet of Things, Sejarah, Teknologi dan Penerapannya. Jurnal Ilmiah Teknologi Informasi, 62–66.
K. Ilham, R. Mukhaiyar. (2021). “Pergerakan Autonomous Pesawat Tanpa Awak Berdasarkan Tinggi Terbang Pesawat”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 3, pp. 43-57, 2021.
M.S. Yoski, R. Mukhaiyar. (2020). "Prototipe Robot Pembersih Lantai Berbasis Mikrokontroller dengan Sensor Ultrasonik", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 158-161, 2020.
M. Syukri, R. Mukhaiyar. (2021). “Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 2, pp. 56-64, 2021.
Prasetya, Dedi Ary., dan Imam Nurviyanto. (2012). Deteksi Wajah Metode Viola Jones Pada OpenCV Menggunakan Pemrograman Phyton. Surakarta: Simposium Nasional RAPI XI FT UMS. ISSN : 1412-9612
Raspberrypi.org.”RaspberryPiDocumentation”.https://www.raspberrypi.org/documentation/ , diakses pada 10 September 2020.
R.C.J. Wydmann, R. Mukhaiyar. (2020). "Augmented Reality dalam Penggunaan Alat Rumah Tanggal Berbasis Internet Of Things", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp.84-91, 2020.
R.F. Ramadhan, R. Mukhaiyar. (2020). "Penggunaan Database Mysql dengan Interface PhpMyAdmin sebagai Pengontrolan Smarthome Berbasis Raspberry Pi", JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 129-134, 2020.
Ridwan, Assad. (2015). Sistem Pengaman Pintu Rumah Otomatis Via SMS berbasis mikrokontroler ATMega328p. Semarang: Jurnal Teknologi dan Sistem. Vol. 3(1): 1-7
R. Kurnia, R. Mukhaiyar. (2021). “Implementasi Metode Fast Fourier Transform Pada Sistem Monitoring Voltage Flicker”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 3, pp. 16-26, 2021.
R. Mukhaiyar. (2017). “Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia”, International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151, 2017.
R. Mukhaiyar. (2010). “Klasifikasi Penggunaan Lahan dari Data Remote Sensing”, Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16, 2010.
R. Mukhaiyar. (2015). “Cancellable Biometric using Matrix Approaches”, Theses in Newcastle Univesity, UK, 2015.
R. Mukhaiyar. (2017). “The Comparation of Back Propagation Method and Kohon Method for Gas Identification”, International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103, 2017.
R. Mukhaiyar. (2019). “Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification”, International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251, 2019
R. Mukhaiyar. (2011). “Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image”, International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758, 2011.
R. Mukhaiyar. (2017). “Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint”, International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150, 2017.
R. Mukhaiyar. (2017). “Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004”, International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123, 2017.
R. Mukhaiyar. (2017). “The Comparation of Back Propagation Method and Kohon Method for Gas Identification”, International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103, 2017.
R. Mukhaiyar. (2018). “Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements”, Asian Social Sciences, vol. 14, no. 6, pp. 1-20, 2018
R. Mukhaiyar, R. Safitri. (2019). “Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System”, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar, S.S. Dlay, W.L. Woo. (2014). “Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations”, Proceeding of ELMAR-2014, pp. 1-4, 2014
R. Mukhaiyar, Syawaludin. (2019). “Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation”, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
S.M. Liusmar, R. Mukhaiyar. (2020). "Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp. 43-49, 2020.
Wilianto, W., & Kurniawan, A. (2018). Sejarah, Cara Kerja Dan Manfaat Internet of Things. Matrix : Jurnal Manajemen Teknologi Dan Informatika, 8(2), 36. https://doi.org/10.31940/matrix.v8i2.818
Zikrillah, Engla. (2016). Sistem Pengunci Pintu Dengan RFID dan Keypad. Padang: Politeknik Negeri Padang.