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Pengembangan Sistem Kehadiran Pegawai Kantor Desa Klambir V dengan Menerapkan Teknik Eigenface Berbasis Face Recognition Zulfahmi Syahputra
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 3 (2023): RESOLUSI Januari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i3.607

Abstract

Attendance is a measuring tool to find out whether an employee or employees in an agency come to work at a certain time or not. This term is most often used for employees or clerks who work hourly hours. Employees or workers with hourly wages are usually paid according to the hours worked. Even if it looks different from other employees or full time employees. This study uses the eigenfaces technique as a result of transforming facial images into a set of facial characteristic features in the form of eigenvectors from the covariant matrices of the facial images. In the approach and recognition of faces, it is explained that eigenfaces do not see certain features on the face such as eyes, mouth, nose, etc. to detect and recognize faces. The results of the research by applying the eigenfaces technique to the employee attendance system by applying the eigenface technique based on face recognition are very effective in accuracy in at Klambir V Village Office.
Application Of Fuzzy Logic In Color Detection Robot Arm Simulator Rifq Surya Pradhana; Zulfahmi Syahputra; Arpan
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 1 (2022): May 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.285 KB) | DOI: 10.53695/injects.v3i1.764

Abstract

Robot is one of the important tools in the industry under certain conditions. The world of education itself has done a lot of research in the field of robotics. The robot arm is one of them, the existence of a robot arm is expected to provide a function or performance in accordance with the work of the human arm and has stronger strength. The robot arm that is built applies a fuzzy logic method that determines the color of the object and will be moved according to the predetermined color, the color consists of three colors, namely red, green and blue. Robots are designed to be flexible and easy to use. It has controllers that have to be reprogrammed at any time to suit their function, like the Arduino Uno, and actuators like servomotors that are low-voltage and easy. This is why the TowerPro SG90 Servo motor was chosen to build the robot arm manipulator.
UNJUK KERJA KOMBINASI METODE BASE64 ALGORITMA VIGNERE CHIPER DAN RAILFENCE CHIPER DALAM PENGAMANAN DATA VIDEO Zulfahmi Syahputra; Supiyandi Supiyandi
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 1 (2023): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Video files are information in the form of Video, Information becomes very vulnerable to be known, retrieved or even manipulated and misused by other parties who are not entitled. In this research combines the classic algorithm vigenere cipher with modren algorithm that is Railfance algorithm in securing video files, with the system built then every video file uploaded into the system will be translated into binary code with base64 technique which is plaintext and then will be encrypted with vigenere cipher algorithm and continued encryption using railfance algorithm and produce video file that can not be played , so Video files are considered damaged, when not. For decryption and vice versa video files that can not be played dupload into the system will be translated into binary code with base64 technique which is plaintext and then decrypted with railfance algorithm and continued decryption using vigenere cipher algorithm and produce video files that can be played. Key Word : video File, Base64, Algoritma Vigenere Cipher, Algoritma Railfance