Indonesian Waste Database: Smart Mechatronics System

Fathurrahman, Haris Imam Karim and Azhari, Ahmad and Sutikno, Tole and Chin, Li-Yi and Putra, Prasetya Murdaka and Yunandha, Isro Dwian and Pratama, Gralo Yopa Rahmat and Purnomo, Beni (2023) Indonesian Waste Database: Smart Mechatronics System. International Journal of Robotics and Control Systems, 03 (02). pp. 354-363. ISSN 2775-2658

Text document (3).pdf Download (920kB)

Abstract

Waste management is an essential component of urban management. As a waste solution, waste management is critical. The goal of this research is to develop a waste management database that is coupled with a mechatronic robot system. Compiling and gatheringdata on the sorts of garbage found in Indonesia is the starting point for this research. Indonesian waste is classified into six groups: cardboard, paper, metal, plastic, medical, and organic. The total images of the six groups are estimated at 1880 pictures. According tothis picture database, Artificial Intelligence (AI) training was used to create the classification system. Inthe final AI process, thetestmethod wasperformedusing DenseNet121, DenseNet169, and DenseNet201. Testing using artificial intelligence DenseNet201 across 40 epochs yields the best 92,7% accuracy rate. Simultaneously with Artificial Intelligence testing, a mechatronic system is created as a direct implementation of the Artificial Intelligenceoutput model. A four-servo arm robot with dc motor wheel mobility is included in the mechatronic system. According to these findings, the Indonesian waste database can be categorized correctly using Artificial Intelligenceand the mechatronics system. This higher accuracy of the artificial intelligence model may be used to create a waste-sorting robot prototype.

Item Type:	Artikel Umum
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	Haris Imam Karim Fathurrahman
Date Deposited:	19 Aug 2023 02:35
Last Modified:	19 Aug 2023 02:35
URI:	http://eprints.uad.ac.id/id/eprint/47432

Actions (login required)

View Item