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STRATEGIC NETWORK PLANNING FOR OPTIMIZING DIGITAL TRANSFORMATION IN THE COAL MINING INDUSTRY Pratama, Rizqi; S, Angga Margi; Farzan, Arisal
International Journal of Social Service and Research Vol. 4 No. 12 (2024): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i12.1151

Abstract

The coal mining industry is one of the most important sectors in Indonesia's economy, and it has become a vital part of the national economy. As a result, the mining industry has become more and more digital. The application of the overlay method in this study aims to improve operational efficiency and work safety in the coal mine of PT Putra Perkasa Abadi (PPA) in Indonesia. The overlay method combines WiFi and LTE networks in the mining area, which improves network performance in terms of throughput, latency, packet loss, and signal coverage. The implementation of Strategic Network Planning to Optimize Digital Transformation in the Coal Mining Industry has proven to be effective in improving the quality of networks that support digital transformation in mining areas. The solution has the potential to be applied to other industrial sectors with similar operational challenges, optimizing the use of network technologies to support sustainability and productivity. Overall, this study makes a significant contribution to designing and implementing network systems that can support operational efficiency, improve occupational safety, and offer sustainable and adaptive solutions in the industry, ultimately supporting the digitalization and transformation of the industry.
Smart Automation for Enhanced Lighting through Remote Control Systems in Coal Mining Areas Pratama, Rizqi; Maulana, Muhammad Fachri; Ardyantoro, Aan
Journal of World Science Vol. 3 No. 12 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i12.1248

Abstract

The coal mining industry faces significant safety challenges due to hazardous working environments and manual monitoring processes, particularly involving Tower Lamp units. These activities expose employees to risks, including harsh weather and operational incidents, leading to potential accidents and financial losses. This study proposes an intelligent safety control system employing real-time remote monitoring technology to mitigate these risks. The system enables centralized control of Tower Lamps, reducing manual interactions, improving energy efficiency through automated lighting adjustments, and enhancing workplace safety. The methodology includes designing and implementing a monitoring system with remote control capabilities supported by real-time data analysis. Expected outcomes include reduced work accidents, optimized lighting management, and streamlined operations, showcasing a scalable model for broader industrial applications. This technological innovation demonstrates a practical solution for improving safety and operational efficiency in coal mining environments.