CD Skripsi

Klasifikasi Kematangan Buah Sawit Dengan Jaringan Syaraf Tiruan Metode Perceptron

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The development of digital image processing science makes it possible to sort and
sort the maturity level of oil palm fruit with the help of image processing
applications. Image processing techniques are another form of visual observation.
Currently, the process of determining mortality is still using traditional methods,
namely looking at the number of loose fruit and falling from the fruit bunches and
the color of the fruit on the bunches. This study aims to design a system using the
perceptron method, measure the accuracy of the system and measure the
correlation between the color of the oil palm fruit and the level of maturity. The
data used is a digital image in JPG format by extracting the RGB and HSV values.
The sample used was palm fruit which presented 2 levels of maturity which were
grouped into 5 fractions, namely F00, F0 categorized as raw fruit, F1, F2 and F3
categorized as ripe fruit. The amount of data used is 25 experiment palms 1 and
25 experiment palm 2 then processed using the single layer perceptron method
and using the sigmoid bipolar and maximal epoh activation functions used were
700. From experiment sample 1 and experiment 2 10 sample will be taken from
each experiment for the training process and 15 sample for the testing process.
The output produced is raw and ripe palm fruit. The success rate in experiment 1
using flash was 86% and the success rate in experiment 2 without flash resulted in
an accuracy of 73%
Keywords : Palm fruit, RGB, HSV, Perceptron, Artificial Neural Network,
Python.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05. 121 (0008)

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2021

Deskripsi Fisik

ix, 79 hlm.; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05. 121 (0008)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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