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Bayu Prastyo
Universitas Negeri Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Desain Banyumas Smart City Berbasis Internet of Things (IoT) Menggunakan Fog Computing Architecture Bayu Prastyo; Faiz Syaikhoni Aziz; Wahyu Pribadi; A.N Afandi
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.742 KB) | DOI: 10.32492/fortech.v1i1.222

Abstract

Internet use in Banyumas Regency is now increasingly diverse according to the demands of the needs. The development of communication technology raises various aspects that also develop. For example, the use of the internet for a traffic light control system so that it can be adjusted according to the settings and can be monitored in real time. In the development of communication technology, the term Internet of Things (IoT) emerged as the concept of extending the benefits of internet communication systems to give impulses to other systems. In other words, IoT is used as a communication for remote control and monitoring by utilizing an internet connection. The Internet of Things in the era is now being developed to create an intelligent system for the purposes of controlling various public needs until the concept of the smart city emerges. Basically, smart cities utilize internet connections for many purposes such as controlling CCTV, traffic lights, controlling arm robots in the industry and storing data in hospitals. If the system is carried out directly from the device to the central server, there will be a very long queue of data while the system created requires speed and accuracy of time so that a system is needed that allows sufficient data control and processing to be carried out on network edge users. Then fog Computing is used with the hope that the smart city system can work with small latency values ​​so that the system is more real-time in sending or receiving data.
Co-Authors A.N. Afandi Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz, Wahyu Pribadi