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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI)
Wijaya, Koko Lendra
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Humanities Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Optimization of Surveillance Systems in Industrial Areas Using CCTV Design Tools Wijaya, Koko Lendra; Nurhadi, Hendro
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i4.57698

Abstract

Designing CCTV systems presents its own challenges, especially in choosing the right and accurate design tools. This study highlights the utilization of CCTV Design Tools, specifically the System Design Tool (SDT), in designing surveillance systems in complex industrial environments. SDT is used to simulate camera coverage, identify blind spots, and determine the optimal configuration of the system. The case study was conducted at a metal smelting plant that has four crucial areas: Production Zone, Storage Warehouse, Loading Dock, and Access Door/Perimeter. Simulation results show that the use of SDT can increase surveillance coverage by 92.5%, reduce blind spots by 7.5%, and optimize the number of cameras required by 20%. With a technical data-driven approach and precise visualization of camera placement, SDT proved effective in improving the efficiency of surveillance system design. These findings confirm the importance of using simulation technology in the development of reliable, efficient, and field-appropriate industrial security systems.
Evaluation of cctv placement in industrial areas using the simple additive weighting method Wijaya, Koko Lendra; Nurhadi, Hendro
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Determining the optimal placement of CCTV cameras in industrial environments is a critical challenge, often complicated by complex layouts, varying operational requirements, and limited resources. This study applied the Simple Additive Weighting (SAW) method to evaluate and prioritize camera placement in four main zones: Production Process Zone, Product Storage Zone, Product Loading Zone, and Access Door/Perimeter. Three multi-criteria decision-making factors were considered: area coverage, installation cost, and operational efficiency of surveillance. The SAW method allows for structured and data-driven analysis, normalizing and weighting each criterion to calculate a final score for each zone. The results revealed that the Product Storage Zone achieved the highest priority score (0.99), followed by the Product Loading Zone (0.84), Access Door/Perimeter (0.77), and Production Process Zone (0.71). These priorities are not in line with the results of the security officer preference survey, but are in line with the opinions of CCTV experts and company managers according to the operational needs of the zones. These findings underscore the effectiveness of the SAW method in providing objective and transparent decision-making for CCTV placement. By integrating quantitative analysis into the design of surveillance systems, this approach optimizes resource allocation and enhances industrial safety. Future research is encouraged to explore the integration of SAW with advanced technologies, such as artificial intelligence and the Internet of Things (IoT), for dynamic and real-time surveillance solutions.
Co-Authors Hendro Nurhadi