PENERAPAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB)

FIRDAUS, FIRDAUS and Resti, Yulia and Zayanti, Des Alwine (2019) PENERAPAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) DALAM MENGELOMPOKKAN JENIS KALENG BERDASARKAN CITRA RED GREEN BLUE (RGB). Undergraduate thesis, Sriwijaya University.

	Text RAMA_44201_08011181520037_0091077302_0004127001_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_44201_08011181520037_0091077302_0004127001_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44201_08011181520037_0091077302_0004127001_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (796kB) | Request a copy
	Text RAMA_44201_08011181520037_0091077302_0004127001_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44201_08011181520037_0091077302_0004127001_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (794kB) | Request a copy
	Text RAMA_44201_08011181520037_0091077302_0004127001_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (795kB) | Request a copy
	Text RAMA_44201_08011181520037_0091077302_0004127001_07_lamp.pdf Download (1MB)

Abstract

The many uses of cans as a food and beverage container can provide waste problems that disrupt the environment. To minimize canned waste, it can be done recycling canned waste where the initial steps of sorting cans are based on the type of can. The purpose of this study is to classify the types of cans and determine the level of accuracy of grouping using the Adaptive Neuro Fuzzy Inference System (ANFIS) method. The data of this study consisted of 250 cans which were divided into training data and testing data with a composition of 30%: 70%, 50%: 50%, 70%: 30%. The membership functions used are Triangular, Trapezoidal, and Gauss. The results of this study indicate that the highest level of accuracy for training data is 56% in the composition of 30%: 70%, 30% : 70% with the Gauss membership function and 30% : 70 % with the Trapezoidal membership function. While for testing data is 44,80% in the composition of 50%: 50% with the Trapezoidal membership function. Keywords: Canned Type, ANFIS Method, Membership Function

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengetahuan Guru, Pemodelan Matematika
Subjects:	Q Science > QA Mathematics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Users 745 not found.
Date Deposited:	16 Aug 2019 22:18
Last Modified:	16 Aug 2019 22:18
URI:	http://repository.unsri.ac.id/id/eprint/2074

Actions (login required)

View Item