PENERAPAN METODE NAIVE BAYES UNTUK MENGELOMPOKKAN JENIS KALENG BERDASARKAN FITUR WARNA RGB

INSYIRAH, INSYIRAH and Resti, Yulia and Zayanti, Des Alwine (2018) PENERAPAN METODE NAIVE BAYES UNTUK MENGELOMPOKKAN JENIS KALENG BERDASARKAN FITUR WARNA RGB. Undergraduate thesis, Sriwijaya University.

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Abstract

The can waste is one of the most difficult wastes in nature, so it will have a negative impact on the environment. One of the ways to overcome the reduction of can waste is to recycle. The first step of recycling is grouping the cans waste by type of cans. The purpose of this research is to classify the types of cans and to determine the accuracy of grouping by the method of Naive Bayes. The data used is consist of two-part, these are train data and test data as much as 250 cans. In this research used the method of Principal Component Analysis to reduce the independent variables in the train data and test data and used Randomized Block Design of two factors to know the factors that have the greatest influence the test data. The result of grouping obtained the greatest accuracy is 58% for grouping by train data of the results of KU score and test data of the results score KU and RAK. So, the grouping type of canned using the method of Naive Bayes is good enough.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Naive Bayes, Principal Component Analysis, Randomized Block Design, Red Green Blue Image, cans.
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics
Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Mrs Dies Meirita Sari
Date Deposited: 05 Aug 2019 07:09
Last Modified: 05 Aug 2019 07:09
URI: http://repository.unsri.ac.id/id/eprint/2249

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