Skripsi

APLIKASI TEKNIK IMAGE PROCESSING UNTUK ANALISIS MENENTUKAN TINGKAT KEMATANGAN BUAH PISANG (MUSA ACUMINATA CHAVENDISH SUBGROUP)

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Penilaian

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This study aimed to analyzed the determination of the maturitylevel of bananas using the apllication ofimage procesing techniques. Where in the used of image processing technique beside being able to determine the ripenes level level of bananas based on color, and also determine the relationship between color and physical and chemical properties. This determine used a non destructive method by usinga camera. Non-destructive image processing to determine the ripeness of chavendish bananas with a computer program based on RGB color model measurements. Image processing on 45 chavendish bananas will produce 90 sample images. The treatment factors were analyzed using the Factorial Randomized Block Design (RAKF) method used were the Grade super, A, B treatments and the levels of ripeness, ripe and overripe. Image processing learning is used to predict the RGB index using the Matlab R2018a graphical user interface (GUI) program. The results showed that sugar content, hardness, and hardness were significantly different from factor B, total acid parameters were significantly different from interactions, and water content parameters were not significantly different from factors and interactions. The results of the correlation of the color index with the composition of the physical and chemical properties show that bananas at the RGB color index value range from 33.23 to 159.58, hardness 44.92 ± 3.32 to 116.18 ± 2.98 gf, sugar 14.60 ± 0.74% to 19.82±1.07%, water content 0.57±0.03% to 0.75±0.07 %, and acid content 0.004±0.0005% to 0.010±0.0008% . Keywords: Chavendish Banana, Digital Image Processing, Maturity Level

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000955	T87942	T879422023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T879422023

Publisher

Inderalaya : Prodi Teknik Pertanian, Fakultas Pertanian Universitas Sriwijaya., 2023

Collation

xii, 34 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

631.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Teknik Khusus tentang Pertanian
Prodi Teknik Pertanian

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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