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All Journal SPEKTRAL : Journal of Communications, Antennas and Propagation Electrician : Jurnal Rekayasa dan Teknologi Elektro
Fuadi Hasani, Rifqi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Rancang Bangun Smart Trash Bin Automation pada Smartlab Politeknik Negeri Jakarta Irfan Alhady, Muhamad; Yudha Raharja, Bima; Fuadi Hasani, Rifqi
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2561

Abstract

Smartlab is a new laboratory in Department of Electrical Engineering, Jakarta State Polytechnic. The lab is designed to support the latest research in the telecommunications field, including the implementation of automation for the systems and items in the lab. The development of a Smart Trash Bin Automation is one of the ongoing projects. Using information and digital technology, it aids in the management and handling of waste collection. This research has created the Smart Trash Bin Automation system, which is connected to the internet using Arduino Uno Rev3 and ESP-32. This module is responsible for processing and sending data from the trash bins to a smartphone. The smartphone use Blynk application, which receives data when the systems sends notification to the users when the trash bin reaches its maximum capacity. Smart Trash Bin Automation is also equipped with an ultrasonic sensor that detects objects inside the trash bin. If an object is detected, the trash bin will open automatically, eliminating the need for users to touch the trash bin directly. The system has been tested successfully, with all devices functioting as intended. Keywords—Arduino, ESP-32, Smartlab, Smart Trash Bin Automation, Ultrasonic sensor.
Penerapan Sistem Artifical Intelligence Pada Alat Keamanan Gerbang Otomatis Wilayah Perumahan Fuadi Hasani, Rifqi; Muhammad Yusuf
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

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Abstract

People are worried about the increasing crime such as theft in housing, so a reliable security system, including automatic gates with IoT (Internet of Things) and AI (Artificial Intelligence) is needed. AI can detect faces to improve security and facilitate access, keeping the environment safe. The use of IoT and AI enables a smarter and more responsive security system, reducing the risk of crime and increasing comfort. This system uses Python, Webcam, and Raspberry Pi to improve security and access efficiency. Python programs object detection and facial recognition algorithms, while the Webcam captures images or videos. Raspberry Pi as the processing center runs an AI model that recognizes vehicles and occupant identities based on facial features, ensuring that only registered occupants can open access, thereby improving security and housing access control. Test results show that the detection system works quite well in identifying vehicles and faces, with an average combined accuracy of 66.5%, which is obtained from the results of testing the object detection system (58%) and facial recognition (75%). QoS measurements of the Telkomsel LTE module show very good performance with a Throughput of 380.58 bps, Packet Loss 0%, and Delay 3.4 ms. The average download value of 19 Mbps, upload 4 Mbps, and ping 32 ms is also adequate.
Rancang Bangun Smart Trash Bin Automation pada Smartlab Politeknik Negeri Jakarta Irfan Alhady, Muhamad; Yudha Raharja, Bima; Fuadi Hasani, Rifqi
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2561

Abstract

Co-Authors Irfan Alhady, Muhamad MUHAMMAD YUSUF Yudha Raharja, Bima