IMPLEMENTASI METODE NAIVE BAYES DENGAN PELUANG FUZZY DALAM MENGKLASIFIKASI JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB)

NADILA, ELSA and Resti, Yulia and Zayanti, Des Alwine (2019) IMPLEMENTASI METODE NAIVE BAYES DENGAN PELUANG FUZZY DALAM MENGKLASIFIKASI JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB). Undergraduate thesis, Sriwijaya University.

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Abstract

Tin waste cans have properties that are difficult to decompose on the ground causing adverse impacts. To reduce the waste the cans can be recycled by grouping them based on certain criteria. In this study will be grouped canned type based on Red Green Blue Image. The data used consisted of training data and test data with 250 samples. Fuzzy Naive Bayes method is a combined classification method consisting of fuzzy logic and naive bayes classification. Fuzzy logic can explain the factors of uncertainty in the grouping process. Naive Bayes classification is a classification method based on probability. The data used is divided into training data and testing data, which are divided into 4 data compositions. The first composition consists of 30% training data and 70% testing data. The second composition consists of 50% training data and 50% testing. The third composition consists of 70% training data and 30% testing. The fourth composition consists of 100% training silent data and 100% moving data with lighting and angle 30 testing From the results of the grouping, the highest level of accuracy is 68%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Cans, Naive Bayes, Fuzzy Logic
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Users 706 not found.
Date Deposited:	24 Sep 2019 02:01
Last Modified:	24 Sep 2019 02:01
URI:	http://repository.unsri.ac.id/id/eprint/2216

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