CD Skripsi

Identifikasi Kematangan Buah Nanas Menggunakan Metode Jaringan Syaraf Tiruan

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ABSTRACT

Pineapple is a tropical fruit that is quite popular in Indonesia, especially in Riau Province. Pineapple can be processed to create derivative products from pineapple. Therefore, the quality of pineapple maturity must be maintained. At present, the process of sorting the quality of pineapple is still done manually by humans, so errors can occur in the identification process. Therefore, this study provides a system that can classify the quality of pineapple by using Image Processing and Artificial Neural Networks. Pineapple images are captured by digital cameras and processed using Matlab. Digital Image Processing is used to extract pineapple colors. Artificial Neural Networks are used for classification of pineapple quality. This study uses 70 pineapples for training data and 30 pineapple to test data. The quality of pineapple is divided into 2 classes, raw and cooked pineapple. The used input parameters for Neural Networks are Red, Green, Blue. Accurasy obtained by this application is 100% so that this application is suitable to be used.

Keywords:, Digital Image Processing, Artificial Neural Networks

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 119 (0072)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2019

Deskripsi Fisik

vi, 71 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 119 (0072)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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