CD Skripsi

Klasifikasi Jenis Dan Kematangan Pisang Menggunakan Metode Convolutional Neural Network (Cnn)

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ABSTRACT
Indonesia has the potential to produce bananas. All of this can be seen from the increasing number of banana production in Indonesia. Although in Indonesia currently produces a lot of bananas, the processing and production of bananas is not balanced. In the process of processing bananas have several stages before the resulting product reaches the consumer. One of these stages is the selection of the type of banana that suits the needs to be processed. This banana selection process is useful for sorting bananas based on their type. In general, farmers or banana billets in distinguishing the types of bananas by looking at the size and color of the banana peel only. This causes frequent errors in choosing the type of banana, which is because of differences of opinion in determining the type of banana based on the shape, color, and size of the banana. The Convolutional Neural Network (CNN) method is generally very good for the classification of the type and maturity of this banana. It is proven by the results of accuracy in the training process of 98% and the results of model testing accuracy in the type classification system are 75% based on confusion matrix calculations.
Keywords: Banana, Deep learning, CNN

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1707123199

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1707123199

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

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