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All Journal Brilliance: Research of Artificial Intelligence
Syirofi, Syirofi
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Decision Sciences, Operations Research & Management Mathematics Other

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Case Study of Computer Network Development for the Internet Of Things (IoT) Industry in an Urban Environment Rachman, Anang Fakchtur; Putra, Fauzan Prasetyo Eka; Syirofi, Syirofi; Wahid, Durrahman
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4302

Abstract

This research presents a case study of computer network development to support the Internet of Things (IoT) industry in an urban environment. The rapid growth of the IoT industry has created the need for a network infrastructure that can support the connectivity of various smart devices widely and reliably. This research focuses on urban environments that have unique complexities such as high population density, intensive movement, and diverse infrastructure needs. The research methodology involves a detailed analysis of the implementation of computer networks in the context of the IoT industry in urban environments. Data was collected through field observations, interviews with experts, and analysis of relevant project documents. The analysis results show that the development of computer networks in urban environments to support industrial IoT requires scalable network design, efficient bandwidth management, tight security, and adaptation to existing infrastructure. This case study describes various strategies and technologies used in the development of computer networks, including the implementation of 5G-based wireless networks and the monitoring of urban environments using smart sensors. These results highlight the importance of a holistic and sustainable approach when developing computer networks for the IoT industry in urban environments. Ensuring your infrastructure can meet future needs requires collaboration between stakeholders, investment in the right technology, and careful planning. This study makes an important contribution to the optimisation of computer networks that support the growth of the IoT ecosystem in urban environments.
Security Analysis And Data Recovery On Large-Scale Computer Networks Putra, Fauzan Prasetyo Eka; Syirofi, Syirofi; Wahid, Durrahman; Syam, Abd. Mu’iz
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6276

Abstract

Large computer networks are now needed to help institutions, businesses, and governments do their work in today's complex and connected digital world. At the same time, the growth of very large and important data sets brings new problems for keeping data safe and quickly getting it back when needed. This research aims to carefully study security plans and data recovery methods that can be used well with large computer networks. This research looks at scientific papers, information technology articles, and related research reports from the last ten years. The main things to do are to use firewalls in layers, use encryption methods like AES and RSA, and use systems to find and block malware by looking at its signatures and actions. We also need to make the physical security of network devices stronger, automatically manage updates, and set up regular data backups along with a plan for recovering from disasters (DRP). The study's results show that a complete security and recovery system that combines different parts can greatly improve how well the system can handle different threats, whether they are technical or not. Working together to prevent cyberattacks and being ready to recover data is very important for keeping information technology services running smoothly. This research gives key suggestions on how to build a network that is not only secure and works well but can also quickly recover if there is an emergency or system problem.
Case Study of Computer Network Development for the Internet Of Things (IoT) Industry in an Urban Environment Rachman, Anang Fakchtur; Putra, Fauzan Prasetyo Eka; Syirofi, Syirofi; Wahid, Durrahman
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4302

Abstract

This research presents a case study of computer network development to support the Internet of Things (IoT) industry in an urban environment. The rapid growth of the IoT industry has created the need for a network infrastructure that can support the connectivity of various smart devices widely and reliably. This research focuses on urban environments that have unique complexities such as high population density, intensive movement, and diverse infrastructure needs. The research methodology involves a detailed analysis of the implementation of computer networks in the context of the IoT industry in urban environments. Data was collected through field observations, interviews with experts, and analysis of relevant project documents. The analysis results show that the development of computer networks in urban environments to support industrial IoT requires scalable network design, efficient bandwidth management, tight security, and adaptation to existing infrastructure. This case study describes various strategies and technologies used in the development of computer networks, including the implementation of 5G-based wireless networks and the monitoring of urban environments using smart sensors. These results highlight the importance of a holistic and sustainable approach when developing computer networks for the IoT industry in urban environments. Ensuring your infrastructure can meet future needs requires collaboration between stakeholders, investment in the right technology, and careful planning. This study makes an important contribution to the optimisation of computer networks that support the growth of the IoT ecosystem in urban environments.
Co-Authors Fauzan Prasetyo Rachman, Anang Fakchtur Syam, Abd. Mu’iz Wahid, Durrahman