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Sosialisasi Dan Penerapan Instalasi Prototipe Panel Surya 150 WP di SMK Prudent School Kota Tanggerang Royhan, Muhamad; Dorand, Pietra; Nurhayati, Ade; Fachrur Rozi, Nurwan Reza
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 1 No. 2 (2024): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v1i2.249

Abstract

As a power plant, the sun can produce unlimited light. Use of solar panels as a transformation device that transforms solar energy into electricity. The electricity produced is sent to the battery and stored as an emergency resource. Much appreciated for progressed innovation, sun-oriented boards can be utilized as a substitution for current power; in any case, the State Power Enterprise still gives power. SMK understudies can learn the significance of the plan and utilization of sun-based boards. In the other stage, SMK understudies will utilize model sun-based boards to introduce the coach given. Through the execution and socialization of sun-powered boards, SMK Judicious School City Tangerang works as arranged, and understudies can introduce models accurately from control to stack. Understudies and instructors will get fabric and explanations of current advancements within the most recent sun-oriented modules to empower advanced improvement.
Smart Home Security System Using Object Recognition with the EfficientDet Algorithm: A Real-Time Approach Suyatno Suyatno; Yus Natali; Nurwan Reza Fachrurrozi; Muhamad Roihan; Pietra Dorand; Naufal Ghani
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.