Sistem Manajemen Kehadiran Menggunakan Metode Face Recognition Berbasis Web
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Jun 22, 2021
Kata Kunci:
Attendance, Face Detect, Face Recognition, esp32-cam, web server
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Abstrak
Sistem absensi dengan pemanfaatan face recognition adalah sistem yang memanfaatkan biometrik berupa pola wajah dan membandingkan wajah yang terdeteksi (face detect) dengan wajah yang tersimpan, Untuk menangkap pola wajah dari user yang akan absen menggunakan sebuah modul camera esp32-cam yang ditanamkan library face recognition sehingga mampu membandingkan wajah yang terdeteksi dengan yang tersimpan. Sistem ini terintegrasi dengan web server yang di rancang untuk mengatur dan menyimpan rakap absen dari mahasiswa sehingga satu alat face detect dapat di gunakan oleh lebih dari satu kelas secara bersamaan. Web server di kontrol oleh admin untuk mengatur jadwal absen mulai dari jadwal mata kuliah , jadwal kelas serta jam masuk dan jam keluar, sehingga dengan pemanfaatan web server tidak memungkinkan ada nya data ganda atau absensi lebih dari satu kali
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Jaini, N., Asri, E., & Nova, F. (2021). Sistem Manajemen Kehadiran Menggunakan Metode Face Recognition Berbasis Web. JITSI : Jurnal Ilmiah Teknologi Sistem Informasi, 2(2), 48 - 55. Diambil dari https://jurnal-itsi.org/index.php/jitsi/article/view/39
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Referensi
[1] Futama, Iqbalalif. 2018. ” Rancang bangun sistem kehadiran siswa berbasis deteksi wajah Terintegrasi SMS dan Website ”. Diploma thesis, UIN Sunan Gunung Djati Bandung.
[2] Dodit Suprianto, Rini Nur Hasanah, Purnomo Budi Santosa: 2018. “Sistem Pengenalan Wajah Secara Real-Time dengan Adaboost, Eigenface PCA & MySQL ”. Jurnal EECCIS, Universitas Brawijaya.
[3] Hanif Al Fatta: 2006. “Sistem Presensi Karyawan Berbasis Pengenalan Wajah Dengan Algoritma Eigenface”. Jurnal Seminar Nasional Sistem dan Informatika, STMIK AMIKOM Yogyakarta.
[4] R. Roman, J. Zhou, J. Lopez, On the Features and Challenges of Security and Privacy in Distributed Internet of Things, Computer Network Journal, Elsevier, 2013.
[5] European Lighthouse Project, “Introduction to Architectural Reference Model for The Internet of Things Booklet”. 2013.
[6] Saranya C. M., Nitha K. P., Analysis of Security methods in Internet of Things.International Journal on Recent and Innovation Trends in Computing and Communication, Volume 3, Issue 4; April 2015.
[7] Sapandeep Kaur, Ikvinderpal Singh. A Survey Report on Internet of Things Applications. International Journal of Computer Science Trends and Technology Volume 4, Issue 2, Mar - Apr 2016.
[8] https://id.techinasia.com/apa-itu-smart-city-dan-penerapan-di-indonesia
[9] Afdal Rusdisyam, Hidra Amnur, “MRAPAT Untuk Sistem Manajemen Ruanga Rapat, Absensi, dan Notulen di PT PLN Unit Wilayah Sumbar” JITSI: Jurnal Ilmiah Teknologi Sistem Informasi 1 (2), 43-52, 2020
[10] http://www.armin.web.id/2015/10/smart-building-adalah.html
[11] http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_SG_ Book_Single_ Pages(1).pdf
[12] Smart Grid enabling energy efficiency and low-carbon transition, https://www.gov.uk/government/ uploads/system/uploads/attachment_data/file/321852/ Policy_Factsheet Smart_Grid_Final BCG_.pdf
[13] S.-H. Chang, R.-D. Chiang, S.-J. Wu, W.-T. Chang, "A context-aware interactive M-health system for diabetics", IT Prof., vol. 18, no. 3, pp. 14-22, May/Jun. 2016.
[14] C. F. Pasluosta, H. Gassner, J. Winkler, J. Klucken, B. M. Eskofier, "An emerging era in the management of Parkinson’s disease: Wearable technologies and the Internet of Things", IEEE J. Biomed. Health Inform., vol. 19, no. 6, pp.1873-1881, Nov. 2015.
[15] Y. J. Fan, Y. H. Yin, L. D. Xu, Y. Zeng, F. Wu, "IoT-based smart rehabilitation system", IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1568-1577, May 2014.
[16] Manoop Talasila, Reza Curtmola, and Cristian Borcea. Mobile Crowd Sensing; New Jersey Institute of Technology. https://web.njit.edu/~mt57/publications/Chapter4.pdf
[17] J. Nasir, A. Ramli, & -. Michael "Design of Door Security System Based on Face Recognition with Arduino," JOIV : International Journal on Informatics Visualization, vol. 3, no. 2, , pp. 127 - 131, Mar. 2019. https://doi.org/10.30630/joiv.3.2.200
[18] Marc Benioff. Industrial Internet of Things: Unleashing the Potential of Connected Products and Services, January 2015. http://www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf
[2] Dodit Suprianto, Rini Nur Hasanah, Purnomo Budi Santosa: 2018. “Sistem Pengenalan Wajah Secara Real-Time dengan Adaboost, Eigenface PCA & MySQL ”. Jurnal EECCIS, Universitas Brawijaya.
[3] Hanif Al Fatta: 2006. “Sistem Presensi Karyawan Berbasis Pengenalan Wajah Dengan Algoritma Eigenface”. Jurnal Seminar Nasional Sistem dan Informatika, STMIK AMIKOM Yogyakarta.
[4] R. Roman, J. Zhou, J. Lopez, On the Features and Challenges of Security and Privacy in Distributed Internet of Things, Computer Network Journal, Elsevier, 2013.
[5] European Lighthouse Project, “Introduction to Architectural Reference Model for The Internet of Things Booklet”. 2013.
[6] Saranya C. M., Nitha K. P., Analysis of Security methods in Internet of Things.International Journal on Recent and Innovation Trends in Computing and Communication, Volume 3, Issue 4; April 2015.
[7] Sapandeep Kaur, Ikvinderpal Singh. A Survey Report on Internet of Things Applications. International Journal of Computer Science Trends and Technology Volume 4, Issue 2, Mar - Apr 2016.
[8] https://id.techinasia.com/apa-itu-smart-city-dan-penerapan-di-indonesia
[9] Afdal Rusdisyam, Hidra Amnur, “MRAPAT Untuk Sistem Manajemen Ruanga Rapat, Absensi, dan Notulen di PT PLN Unit Wilayah Sumbar” JITSI: Jurnal Ilmiah Teknologi Sistem Informasi 1 (2), 43-52, 2020
[10] http://www.armin.web.id/2015/10/smart-building-adalah.html
[11] http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_SG_ Book_Single_ Pages(1).pdf
[12] Smart Grid enabling energy efficiency and low-carbon transition, https://www.gov.uk/government/ uploads/system/uploads/attachment_data/file/321852/ Policy_Factsheet Smart_Grid_Final BCG_.pdf
[13] S.-H. Chang, R.-D. Chiang, S.-J. Wu, W.-T. Chang, "A context-aware interactive M-health system for diabetics", IT Prof., vol. 18, no. 3, pp. 14-22, May/Jun. 2016.
[14] C. F. Pasluosta, H. Gassner, J. Winkler, J. Klucken, B. M. Eskofier, "An emerging era in the management of Parkinson’s disease: Wearable technologies and the Internet of Things", IEEE J. Biomed. Health Inform., vol. 19, no. 6, pp.1873-1881, Nov. 2015.
[15] Y. J. Fan, Y. H. Yin, L. D. Xu, Y. Zeng, F. Wu, "IoT-based smart rehabilitation system", IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1568-1577, May 2014.
[16] Manoop Talasila, Reza Curtmola, and Cristian Borcea. Mobile Crowd Sensing; New Jersey Institute of Technology. https://web.njit.edu/~mt57/publications/Chapter4.pdf
[17] J. Nasir, A. Ramli, & -. Michael "Design of Door Security System Based on Face Recognition with Arduino," JOIV : International Journal on Informatics Visualization, vol. 3, no. 2, , pp. 127 - 131, Mar. 2019. https://doi.org/10.30630/joiv.3.2.200
[18] Marc Benioff. Industrial Internet of Things: Unleashing the Potential of Connected Products and Services, January 2015. http://www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf