Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal METIK JURNAL
Jaya Bardi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Dan Deteksi Tong Sampah Pintar Menggunakan Esp8266 dengan Algoritma CNN Denice; Ravellia oska amanda; Eric Pradana Nst; Jaya Bardi; Dhanny Rukmana Manday
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 2 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/3w7fmh51

Abstract

Waste accumulation due to ineffective management has become a challenge in the modern era. This study designs an Internet of Things(IoT)-based smart trash bin system using ESP8266, an HC-SR04 ultrasonic sensor, and a servo motor to monitor waste volume and automatically open or close the lid. The ESP8266-CAM and a Convolutional Neural Network (CNN) model are utilized for classifying organic and inorganic waste, with data communicated to a Flutter-based mobile application via Wi-Fi. The system also integrates a GPS module and Google Maps API navigation to guide an RC car to the trash bin location. Results show the CNN model achieved a validation accuracy of 83.18%, and the system functions effectively for capacity detection and automation. This solution offers efficient household waste management, real-time monitoring, and automatic classification, helping to reduce emptying frequency, minimize physical contact, and raise environmental awareness. This research provides a foundation for further IoT development in environmental and sustainable waste management.
Co-Authors Denice Dhanny Rukmana Manday Eric Pradana Nst Ravellia oska amanda