VALIDASI SILANG PENGELOMPOKKAN JENIS KALENG MENGGUNAKAN METODE DECISION TREE

MEGAWATI, MEGAWATI and Resti, Yulia and Zayanti, Des Alwine (2021) VALIDASI SILANG PENGELOMPOKKAN JENIS KALENG MENGGUNAKAN METODE DECISION TREE. Undergraduate thesis, Sriwijaya University.

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Abstract

Cans are storage places for food and non-food items made of aluminum. Canned waste is difficult to decompose on the ground so that a recycling process needs to be carried out so that it does not cause problems for the environment. The process of grouping the cans is the initial process in recycling. This study classifies cans based on RGB images using the Decision Tree. The decision tree explains the effect of attributes by depicting trees. The data consisted of 250 samples of cans given treatment factors in the form of one lighting angle, one type of light lamp, and two conveyor belt speeds. Delivery of treatments on the data is conveyor belt speed 1, lamp1, angle 30o, and conveyor belt speed 2, lamp 1, angle 30o.With cross validation 5 times get 1 fold as data testing and training 4 times data tested over and over. From the results of cross validation using the Decision Tree the greatest accuracy rate is 75.25%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	kaleng, decision tree, validasi silang
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA1.T553 Mathematics--Periodicals. Computer science--Periodicals. Computer science. Q Science > QA Mathematics > QA1-939 Mathematics > QA37.3.1.64 Applied Mathematics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Users 10411 not found.
Date Deposited:	02 Feb 2021 06:21
Last Modified:	02 Feb 2021 06:21
URI:	http://repository.unsri.ac.id/id/eprint/41141

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