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

Skripsi

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

Hariani, Hariani - Personal Name;

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Penilaian anda saat ini :  

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


Availability
Inventory Code Barcode Call Number Location Status
2107003451T49730T497302021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T497302021
Publisher
Inderalaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2021
Collation
xiv, 118 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
511.307
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Ilmu Matematika
Metode Fuzzy C-Means
Fuzzy Naive Bayes
Specific Detail Info
-
Statement of Responsibility
DS
Other version/related

No other version available

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