Claim Missing Document
Check
Articles

Found 2 Documents
Search

Facial image protection with visual cryptography and random least significant bit (LSB) steganography Karo Karo, Panser; Simarmata , Simon; Faizah, Novianti Madhona; Fabrianto, Luky
Jurnal Mandiri IT Vol. 13 No. 4 (2025): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i4.392

Abstract

The confidentiality of sensitive data—such as personal information of individuals who may pose security threats to client assets—must be strictly maintained. This data includes personal details such as name, ID number, address, date of birth, occupation, and photographs (images). The data protection process involves combining textual data (ID number, name, date of birth) with a photo into a single image, which is then processed using visual cryptography. The visual cryptography technique applied is the (k, n) scheme with a 2-out-of-k configuration. To enhance data security and confidentiality through dual-layer protection, the output from the visual cryptography process is further secured using steganography with the random LSB (Least Significant Bit) method, applied to one of the shares obtained from the previous step. The best result achieved during testing was a PSNR of 71.9977 and an MSE of 0.0041. It is expected that the combination of visual cryptography and steganography methods will significantly enhance the security of data storage to protecting it from unauthorized access.
Analisis Renderfarm Menggunakan Teknologi Cloud Computing dengan Virtual Container Berbasis Docker: Studi Kasus InkubatorX Fajar, Muhammad; Faizah, NM; Karo Karo, Panser
Jurnal Sistem Komputer (SISKOM) Vol. 5 No. 1 (2025): Februari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/siskom.v5i1.1318

Abstract

The 3D animation industry continues to grow rapidly, but it is often hindered by the limitations of adequate computational resources. The rendering process, which converts 3D models into realistic images, requires significant computational power and often takes a long time. This study uses an experimental method to measure execution time during rendering with varying frame values. These variations are applied to each slave computer and compared to determine the speedup in execution time. Observations were made to understand the impact of changing frame values on rendering time. With the implementation of a render farm system, errors in the rendering process can automatically be re-submitted until completion, and utilizing multiple computational resources in parallel can speed up the rendering process. This makes the rendering process more efficient and helps complete animation projects more quickly. The system design process begins with a general observation, followed by software design, and concludes with the deployment of the render farm on the server. Parallel computer testing was carried out by synchronizing the time between the Master, Slave, and Client using network time protocols. The results of the tests indicate that the use of a render farm can significantly reduce rendering time, providing an efficient solution to overcome hardware limitations in 3D animation rendering.