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All Journal Jurnal Simetris PIONIR: Jurnal Pendidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Technomedia Journal Jurnal Asy-Syukriyyah Al-Azkiya : Jurnal Pendidikan MI/SD At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan Basica Jurnal Pendidikan Matematika Malikussaleh OMEGA: Jurnal Keilmuan Pendidikan Matematika Diksi: Jurnal Pendidikan dan Literasi Jurnal Asy-Syukriyyah Toga Jurnal Keguruan dan Ilmu Pendidikan
Rahayu, Nina
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : Technomedia Journal

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QRcode Verifikasi Sertifikat Sebagai Bukti Keabsahan Dokumen dalam Bidang Pendidikan Febriyanto, Erick; Triyono, Triyono; Rahayu, Nina; Nurbaiti, Resti
Technomedia Journal Vol 5 No 1 Agustus (2020): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1019.996 KB) | DOI: 10.33050/tmj.v5i1.1327

Abstract

The falsification of certificates or documents is running rampant in Indonesia, especially in urban areas. The lack of public knowledge about the authenticity of a document and the difficulty of verifying documents are the main factors in the fraud of this document forgery. The purpose of this document verification system research is to facilitate the public in verifying documents and minimizing the falsification of duplicate or modification documents, and reducing the number of certificate and document fraud. The application is designed based on web and mobile apps (Android & IOS), making it easier to use and develop. This research uses data collection research methods which include observation, interviews, and literature study. Interviews were carried out in a socialization manner to the public so that they could find out to what extent their knowledge of cases of forgery of this document, while to analyze the system using the SWOT analysis method and blackbox testing. This verification system is really needed by the community and government, so that in the creation of web applications and mobile apps it is designed in such a way that it can produce applications that are user friendly, innovative, creative, and informative. The research results are also directed to obtain the protection of Intellectual Property Rights (IPR), both in the form of Copyright and Industrial Property Rights. Key Words : Certificate, QR Code, Verification, SWOT, Blackbox Testing
Perancangan Sistem Kehadiran Face Recognition Menggunakan Mikrokomputer Berbasis Internet of Things Roihan, Ahmad; Rahayu, Nina; Aji, Danang Saputro
Technomedia Journal Vol 5 No 2 Februari (2021): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (676.012 KB) | DOI: 10.33050/tmj.v5i2.1373

Abstract

All companies want a better attendance system which can increase the level of employee discipline in attendance. In this case, a problem must be sought for a solution and requires facilities or design in the form of a presence system that can facilitate attendance and reduce the occurrence of errors and fraud. This research develops the system as a solution to the problem of the presence system that already exists today with the presence system with face recognition. Raspberry Pi is used as a microcomputer to perform data processing to activate a webcam that will detect faces when motion has been detected by the PIR sensor as input and design using the Python programming language that is run on the Raspbian operating system platform. The purpose of this study is to be able to implement a system that can read employee faces to input attendance in real time. Keywords: Presence, Raspberry, Face Recognition, Webcam, Python
Co-Authors ., Yustizar Afrida, Nina Ahmad Roihan, Ahmad Aji, Danang Saputro Alparisi Efendi, Salman Amanahtillah, Dara Arief Ramadhan, Faisal Asni Asni Buaga, Garib Firman Erick Febriyanto Fadila, Jihan Ayu Fadillah, Lili Fera, Fera Ariani Iflia, Witri Jannati, Putri Jelita jelita, jelita kamal, faizal Khairul Fahmi Lilis Suryani Lubis, Rosida Mahliza, Ade Mayzura, Safira Mudrika, Syarifah Mudrika Muhammad Arif Nurbaiti, Resti NURJAYA NURJAYA, NURJAYA Nurul, Nurul Fitri Panjaitan, Chery Julida Pertiwi, Asih Po Abas Sunarya Qamita, Farah Razabi, Muhamad Misbach Rika Restela, Rika Rita Sari Rustiana, Deden Sekar Purbarini Kawuryan Triani, Rina Triyono Triyono Utami, Wiranti Sri Warzukni, Nyak mauliza wulandari, Febriyantika Yono, Fuji Yuniara, Yuniara Yusaini, Yusaini Zavira, Siti