PERBANDINGAN METODE FUZZY C-MEANS DAN FUZZY NAIVE BAYES DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB)

HARIANI, HARIANI and Resti, Yulia and Kresnawati, Endang Sri (2021) PERBANDINGAN METODE FUZZY C-MEANS DAN FUZZY NAIVE BAYES DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB). Undergraduate thesis, Sriwijaya University.

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Abstract

In this area, many products use cans as packaging. Of course, with the many uses of cans as packaging for a product, the chances of environmental problems will be even greater due to canned waste. Canned waste has a very bad impact on the environment because it is difficult to decompose. Therefor, the step that must be taken is to recycle the waste cans. Before carrying out the recycling process, the initial step that must be done is to group theme based on certain criteria. The cans grouping process used in this research is using the Fuzzy C-Means and Fuzzy Naive Bayes methods. This study uses 2 types of treatment combinations that are influenced by the speed of the conveyor belt, the type of light, and the angle. The data used in these 2 types of treatment were 250 samples of cans divided randomly into 10 folds. Keywords: Cans, Fuzzy Logic,Fuzzy C-Means, Naive Bayes

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Cans, Fuzzy Logic,Fuzzy C-Means, Naive Bayes
Subjects:	Q Science > QA Mathematics > QA1-43 General Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Hariani Ponisah
Date Deposited:	12 Jul 2021 07:48
Last Modified:	12 Jul 2021 07:48
URI:	http://repository.unsri.ac.id/id/eprint/49730

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