Study in Development of Cans Waste Classification System Based on Statistical Approaches

Resti, Yulia and Mohruni, Amrifan Saladin and Rosdiana, T and Zayanti, D.A. (2019) Study in Development of Cans Waste Classification System Based on Statistical Approaches. Journal of Physics: Conference Series, 1198 (9). pp. 1-6. ISSN 17426588, 17426596

Text Study_in_Development_of_Cans_Waste_Classification_.pdf - Published Version Download (1MB)

Abstract

A classification system is an initial stage in recycling cans technology. This study aims to build a cans waste classification system based on statistical approach using Red, Green,and Blue image. The image data size is reduced using principal component analysis, while the classification method used is K-Nearest Neighbors and multinomial regression. The results showed that the K-Nearest Neighbors method has the success rates of cans waste classification higher than Multinomial Regression.

Item Type:	Article
Uncontrolled Keywords:	Cans, Classification, Statistical
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ212-225 Control engineering systems. Automatic machinery (General)
Divisions:	03-Faculty of Engineering > 21101-Mechanical Engineering (S2)
Depositing User:	Prof Amrifan Saladin Mohruni
Date Deposited:	29 Jul 2019 04:17
Last Modified:	29 Jul 2019 04:17
URI:	http://repository.unsri.ac.id/id/eprint/1084

Actions (login required)

View Item