PENERAPAN METODE K-NEAREST NEIGHBOUR (K-NN) DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RGB

RODIANA A, TIARA and Resti, Yulia and Zayanti, Des Alwine (2018) PENERAPAN METODE K-NEAREST NEIGHBOUR (K-NN) DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RGB. Undergraduate thesis, Sriwijaya University.

	Text RAMA_44201_08011281419029_0019077302_0004127001_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (663kB)
	Text RAMA_44201_08011281419029_0019077302_0004127001_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (340kB) | Request a copy
	Text RAMA_44201_08011281419029_0019077302_0004127001_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (253kB) | Request a copy
	Text RAMA_44201_08011281419029_0019077302_0004127001_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (734kB) | Request a copy
	Text RAMA_44201_08011281419029_0019077302_0004127001_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (247kB) | Request a copy
	Text RAMA_44201_08011281419029_0019077302_0004127001_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (95kB) | Request a copy
	Text RAMA_44201_08011281419029_0019077302_0004127001_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (818kB) | Request a copy

Abstract

Principle of packaging in the modern world is upgrading by using the better technology, the type of packaging has variated from paper, plastic, glass, metal (tin), fiber and laminated materials. The most materials of metal that we used for packaging are tin-plate, aluminum, and aerosol. Metal are the recyclable materials, for the process of recycling firstly we cluster the metal by the type. In this study the types of metal will be clustering using K-Nearest Neighbor (K-NN) by using red, green, and blue (RGB) pixel data from metal using help from MATLAB software. External factors will be added to the RGB image as the testing data fot clustering, the process of selecting testing data that have most significant factors will be done by Random Block Design (RBD) method and reduced of independent variables of the data will use the Principle Component Analysis (PCA) using from Minitab software. The result of clustering the type of metal on this study indicate the most high accuracy of the clustering using the original training data without PCA and 16 original data testing without RBD and also clustering by using the training data the results of KU score and testing data of RBD result of KU score are 45.6% on testing data with factors type of lamp 1 angel of lighting 900 and speed of board 2.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Cans, Image, Red Green Blue (RGB), K-Nearest Neighbor (K-NN), Principle Component Analysis (PCA), Randomized Block Desain (RBD), Minitab, MATLAB
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics 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:	Mrs Dies Meirita Sari
Date Deposited:	05 Aug 2019 04:30
Last Modified:	05 Aug 2019 04:30
URI:	http://repository.unsri.ac.id/id/eprint/2174

Actions (login required)

View Item