Computer Network Simulation for Health Information Data Transmission at Medical Record Unit by Measuring Time Response
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 7)Publication Date: 2017-07-05
Authors : Puguh Yudho Trisnanto; Arif Mulyadi; Rizky Fadila;
Page : 1378-1382
Keywords : response; time; network; DHCP; POP3;
Abstract
Computer network simulation of health information in the medical record transmission unit was conducted by measuring response time. Simulation time information was measured by recording reactions from start response time until finished. The response time from the server went to IP address allocation in one network. By using DHCP method, the simulation of IP Address which is formed according to the simulation of e-mail delivery network include Building B, C and D by using IP Address 200.100.10.1 class C which was used for medium sized network and joined by the POP3 protocol (Post Office Protocol) protocol server. By using standard reactions time it was categorized as follows the reaction rate should be 8 seconds, the reaction speed was measured as the user presses the submit button to the system and starts the reaction to be 8 seconds and the reaction speed was measured as the user presses the submit button to the system and initiates the reaction should be a). Maximum 30 seconds b). Average 6 seconds. The reaction speed was measured as the user presses the submit button to the system and initiates the reaction should be a).95 percent 8 seconds b).100 percent 30 seconds For calculation of response time taken from the average reaction speed per module from Building B, C, and D. So as to produce the delivery of protocol packet according to the initial design of data obtained Average 6 seconds (unaccepted Variable), 100 percentile 8 seconds (receiver / variable), and 100 percent 30 seconds (accepted / variable).
Other Latest Articles
- Evaluation of Enzyme Cellulase Production and its Activity, Isolated from Local Fungi
- Dosimetric Characteristic of Enhanced Dynamic Wedges used in Radiation Therapy
- Evaluating the Sustainability of mHealth Systems in Developing Countries: the Knowledge Gap
- A Hopfield Neural Network Based Building Agent for Detection and Correction of Programming Errors
- Development of Mathematics Learning Model Based on a Metakognitif Approach with Student Character Involving Student Emotional Intelligence
Last modified: 2021-06-30 19:29:57