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

Resti, Yulia (2018) iThenticate Article of Study in Development of Cans Waste Classification System Based on Statistical Approaches. FMIPA Universitas Sriwijaya.

Text 02_Conf_2019_Study_in_Development_of_Cans_Waste_Cl.pdf - Other Download (1MB)

Abstract

The classification system is an initial stage in recycling cans technology. This study aims to build a cans waste classification system based on a statistical approach using Red, Green, and Blue images. 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:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mr. Irsyadi Yani, S.T., M.Eng., Ph.D.
Date Deposited:	28 Apr 2023 23:22
Last Modified:	28 Apr 2023 23:22
URI:	http://repository.unsri.ac.id/id/eprint/97914

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