PENGOLAHAN IMAGE PROCESSING DAN JARINGAN SYARAF TIRUAN UNTUK MENENTUKAN KEMATANGAN BUAH BELIMBING MANIS (Averrhoa carambola L.)

DWI, INDAH FIRISKY and Rejo, Amin and Adhiguna, Rizky Tirta (2023) PENGOLAHAN IMAGE PROCESSING DAN JARINGAN SYARAF TIRUAN UNTUK MENENTUKAN KEMATANGAN BUAH BELIMBING MANIS (Averrhoa carambola L.). Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to determine the maturity of sweet star fruit with non-destructive methods of digital image processing based on artificial neural networks based on color analysis of sweet star fruit using a camera. To increase the accuracy of the research, the multilayer backpropagation method is used by conducting training to get the existing boundaries so that when testing is on the desired target. Non-destructive image processing to determine the ripeness of sweet star fruit with a computer program based on measurements of the RGB color model. Image processing on 45 star fruit will produce 90 sample images. The factors that were analyzed using the Rancang Acak Kelompok Faktorial Method (RAKF) used were the Super Grade, A, B treatments and the mature, raw, and overripe levels of maturity. Feed-forward backpropagation is used as a learning algorithm for an artificial neural network model with a logsig activation function to predict brix, hardness, total sugar, and water content using the Matlab R2018a graphical user interface (GUI) program. Parameter testing on the results of laboratory tests showed that the parameters of sugar content, water content were significantly different from factor B, the total acid parameter was significantly different from interaction, and the hardness parameter was not significantly different from factors and interactions. Development of a training artificial neural network model using 3 inputs (Red, Green, Blue) with an MSE value of the hardness parameter of 9.9299 with the largest MSE value compared to the other parameters. The MSE value for total acid parameters was 1.4483 x 10-6, water content was 4.0154 x 10-4, and total sugar was 9.3754 x 10-2.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Jaringan syaraf tiruan, Pengolahan citra digital, Belimbing manis
Subjects:	S Agriculture > S Agriculture (General) > S1-(972) Agriculture (General)
Divisions:	05-Faculty of Agriculture > 41201-Agricultural Engineering (S1)
Depositing User:	Users 27478 not found.
Date Deposited:	30 Jan 2023 02:32
Last Modified:	03 Feb 2023 03:43
URI:	http://repository.unsri.ac.id/id/eprint/87949

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