Analisa Penempatan Kamera CCTV Menggunakan Metode Simple Additive Weighting (SAW) Untuk Smart Monitoring
Journal: Matics (Vol.8, No. 2)Publication Date: 2016-09-25
Authors : Gianto Widodo; Rahmadwati .; Purnomo Budi Santoso; Fachrul Kurniawan;
Page : 44-47
Keywords : SAW; CCTV;
Abstract
Bstract-monitoring technology is an area or region now is growing rapidly, this refers to the interest to be used. Closed Circuit Television (CCTV) is a type of camera that was used for the supervisor of the building or room, but it can also be used to monitor the condition of congestion and road conditions. The problems are the installation of CCTV is not always right on target because it is only installed for trend following, without looking at the conditions that will be installed, so it becomes less than optimal. Many of the problems in need of supervision by the Government. Problems such as road density, accidentprone area, business area, area schools, parking area and population density at the location of the road is a problem that requires supervision. In order for the supervision can be done with the optimal technological devices are used then the information and communication technology, the utilization for surveillance of a region commonly referred to with the Smart Monitoring, the device that can be used is CCTV. In order to target the right CCTV installation requires a calculation and analysis of the right against the conditions of the point to be fitted, to allow the installation of CCTV can be right on target and not just follow the trend of development of the technology. Many of the problems that have to be analyzed before the installation of CCTV, to find the solution of many problems, this research using methods MCDM method Simple Additive Weighting (SAW). Based on the results of the calculation of 40 data points of observation in the city of XYZ with 10 categories, problems and preferences 3 weights used produce a value Vi maximum 4 point, and that point is recommended for CCTV installed.
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Last modified: 2016-11-29 14:07:54