A predictive positioning system using supervised learning for home care of older people
Penulis/Author
KURNIANINGSIH (1); Prof. Ir. Lukito Edi Nugroho, M.Sc., Ph.D. (2); Widyawan, S.T., M.Sc., Ph.D. (3); dr. M. Lutfan Lazuardi, M.Kes., Ph.D. (4); Anton Satria Prabuwono (5)
Tanggal/Date
2017
Kata Kunci/Keyword
Abstrak/Abstract
Graphic image is compulsory in delivering information and communication in this information technology era. Graphic applications are used widely to manipulate images in advertising industries and in animation movie productions. In order to manipulate numerous and complex images, it is required long period of time and high-performance computers. However, computers with high-performance specification are still very expensive these days. This condition triggers the development of distributed processing technique using the implementation of computer cluster which does not require very advanced specifications. A computer cluster is a computer system that employs many computers (PCs) which are connected within a computer network and work simultaneously in parallel for solving given computational processes. MPICH2 cluster system was implemented in cloud computing infrastructure in the laboratory. A performance analysis was conducted on how the system handle parallel distributed processes using POV-Ray software. The performance of the system was then tested, using execution time, efficiency rate, and speedup as the parameters. This research used 4 sample images tested in MPICH cluster system for rendering. After speedup and efficiency rate analyses were conducted, it is then possible to conclude that the produced average speedup is 2.68 and the average efficiency rate in rendering the four 3D images is 92%. Those results show that the cluster system of the distributed rendering is efficient in executing the computational processes.
