Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Buletin Ilmiah Sarjana Teknik Elektro International Journal of Robotics and Control Systems
Gralo Yopa Rahmat Pratama
Universitas Ahmad Dahlan
Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Robotics and Control Systems

 1 
Indonesian Waste Database: Smart Mechatronics System Haris Imam Karim Fathurrahman; Ahmad Azhari; Tole Sutikno; Li-yi Chin; Prasetya Murdaka Putra; Isro Dwian Yunandha; Gralo Yopa Rahmat Pratama; Beni Purnomo
International Journal of Robotics and Control Systems Vol 3, No 2 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i2.999

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 gathering data 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 to this picture database, Artificial Intelligence (AI) training was used to create the classification system. In the final AI process, the test method was performed using 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 Intelligence output 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 Intelligence and the mechatronics system. This higher accuracy of the artificial intelligence model may be used to create a waste-sorting robot prototype.
Co-Authors Azhari, Ahmad Beni Purnomo Fathurrahman, Haris Imam Karim Isro Dwian Yunandha Li-yi Chin Nuryono Satya Widodo Prasetya Murdaka Putra Tole Sutikno