Indonesian Waste Database: Smart Mechatronics System
(1) * Haris Imam Karim Fathurrahman Mail (Universitas Ahmad Dahlan, Indonesia)
(2) Ahmad Azhari Mail (Universitas Ahmad Dahlan, Indonesia)
(3) Tole Sutikno Mail (Universitas Ahmad Dahlan, Indonesia)
(4) Li-yi Chin Mail (Applied Materials, Taiwan)
(5) Prasetya Murdaka Putra Mail (Universitas Ahmad Dahlan, Indonesia)
(6) Isro Dwian Yunandha Mail (Universitas Ahmad Dahlan, Indonesia)
(7) Gralo Yopa Rahmat Pratama Mail (Universitas Ahmad Dahlan, Indonesia)
(8) Beni Purnomo Mail (Universitas Ahmad Dahlan, Indonesia)
*corresponding author

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.

Keywords


Artificial Intelligence;Database;Indonesia;Waste

   

DOI

https://doi.org/10.31763/ijrcs.v3i2.999 		      

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Copyright (c) 2023 Haris Imam Karim Fathurrahman, Ahmad Azhari, Tole Sutikno, Li-yi Chin, Prasetya Murdaka Putra, Isro Dwian Yunandha, Gralo Yopa Rahmat Pratama, Beni Purnomo

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