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Journal : International Journal of Engineering Continuity

Implementation OSPFv3 For Internet Protocol Verses 6 (IPv6) Based On Juniper Routers Use Emulator Virtual Engine – Next Generation (Eve-NG) Nurwan Reza Fachrur Rozi; Ade Nurhayati; Seandy Arandiant Rozano
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.141

Abstract

Advances in computer network technology and increased use of Internet information have reduced IPv4 offerings. This requires a computer network protocol that can replace the role of IPv4 which is currently limited/loose. Also known as Internet Protocol Verses 6 (IPv6), it aims to improve on IPv4 and does not represent a fundamental change from IPv4. Features that are available in IPv4 are also available in IPv6, but features that do not work in IPv4 are available in IPv4. IPv6 is no longer used. A transition mechanism is required to forward IPv6 packets to an existing IPv4 network and vice versa. One of the available mechanisms is automatic tunneling (abbreviated as Tunneling). The EVE-NG simulator is used to implement and study the routing protocol (OSPFv3) on IPv6 networks. To check the results, use the traceroute, ping command. The Juniper platform is implemented in this small virtual network to test the OSPFv3 protocol on an IPv6 network. This research explains how to assign IPv6 addresses on Juniper routers and end devices as well as their configuration. The Internet protocol layer is responsible for receiving and sending data packets within the network. In the virtual environment simulation mode, Juniper packets are analyzed and packet forwarding via IPv6 on OSPFv3 is used to make decisions for protocols in the IPv6 environment that are faster, and more secure.
Smart Home Security System Using Object Recognition with the EfficientDet Algorithm: A Real-Time Approach Suyatno, Suyatno; Natali, Yus; Reza Fachrurrozi, Nurwan; Roihan, Muhamad; Dorand, Pietra; Ghani, Naufal
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.400

Abstract

The EfficientDet method, which is implemented on the Raspberry Pi for real-time detection in resource-constrained contexts, is the basis for the smart home security system presented in this study.  The system integrates CCTV cameras, motion sensors, and detectors to identify and classify objects, sending notifications via WhatsApp via the Twilio API.  The EfficientDet-D0 model achieves an accuracy of 94.8%, an average processing time of 45 ms, and a memory usage of about 850 MB.  When compared to moving individuals or non-human things, testing shows that stationary human items have a higher detection accuracy.  Notifications are transmitted roughly every three seconds, with an average latency of 1.4 to 1.8 seconds.  The suggested method provides object recognition, real-time monitoring, and configuration flexibility in contrast to traditional IoT-based systems.  These results highlight the potential of EfficientDet as a reliable and adaptable solution for home security.  Future improvements include improving accuracy in a variety of environmental conditions and implementing adaptive learning.