Analisa Penempatan Kamera CCTV Menggunakan Metode Simple Additive Weighting (SAW) Untuk Smart Monitoring

Abstract

<span class="fontstyle0">Abstract</span><span class="fontstyle1">-monitoring technology is an area or region now is<br />growing rapidly, this refers to the interest to be used.<br />Closed Circuit Television (CCTV) is a type of camera that<br />was used for the supervisor of the building or room, but it<br />can also be used to monitor the condition of congestion and<br />road conditions. The problems are the installation of<br />CCTV is not always right on target because it is only<br />installed for trend following, without looking at the<br />conditions that will be installed, so it becomes less than<br />optimal. Many of the problems in need of supervision by<br />the Government. Problems such as road density, accidentprone area, business area, area schools, parking area and<br />population density at the location of the road is a problem<br />that requires supervision. In order for the supervision can<br />be done with the optimal technological devices are used<br />then the information and communication technology, the<br />utilization for surveillance of a region commonly referred<br />to with the Smart Monitoring, the device that can be used<br />is CCTV. In order to target the right CCTV installation<br />requires a calculation and analysis of the right against the<br />conditions of the point to be fitted, to allow the installation<br />of CCTV can be right on target and not just follow the<br />trend of development of the technology. Many of the<br />problems that have to be analyzed before the installation<br />of CCTV, to find the solution of many problems, this<br />research using methods MCDM method Simple Additive<br />Weighting (SAW). Based on the results of the calculation<br />of 40 data points of observation in the city of XYZ with 10<br />categories, problems and preferences 3 weights used<br />produce a value Vi maximum 4 point, and that point is<br />recommended for CCTV installed.<br />Keywords: SAW, CCTV</span>