Penerapan Jaringan Syaraf Tiruan Pada Pengelompokan Biji Kedelai Berdasarkan Perbedaan Warna

Saputro, Abet Ari (2011) Penerapan Jaringan Syaraf Tiruan Pada Pengelompokan Biji Kedelai Berdasarkan Perbedaan Warna. Other thesis, Institut Teknologi Sepuluh Nopember Surabaya.

Text 1106100058-Undergraduate_Thesis.pdf - Accepted Version Download (10MB)

Abstract

Telah dilakukan pengelompokan biji kedelai berdasarkan perbedaan warna dengan menggunakan jaringan syaraf tiruan. Jenis kedelai yang digunakan adalah Anjasmoro, Argomulyo, Grobogan, Kaba dan Tanggamus. Akuisisi data didapatkan Melalui pengolahan citra kedelai dalam koordinat warna *L*a*b. Banyaknya data adalah 170 data dan dibagi menjadi 2, yaitu 140 data untuk pelatihan dan 30 data untuk validasi. Hasil pengelompokan jaringan syaraf tiruan didapatkan nilai rata-rata kesalahan kuadrat sebesar 0,01 pada variasi jaringan 3-25-1, dan pengelompokkan K-Means menghasilkan nilai standar deviasi sebesar 0.015094 pada uji ke-7
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Grouping of soybean seeds based on color differences has been carried out using artificial neural networks. The types of soybeans used are Anjasmoro, Argomulyo, Grobogan, Kaba and Tanggamus. Data acquisition was obtained through soybean image processing in *L*a*b color coordinates. The amount of data is 170 data and is divided into 2, namely 140 data for training and 30 data for validation. The results of artificial neural network grouping obtained an average squared error value of 0.01 in the 3-25-1 network variation, and K-Means grouping produced a standard deviation value of 0.015094 in the 7th test

Item Type:	Thesis (Other)
Additional Information:	RSFi 006.32 Sap p-1 2011
Uncontrolled Keywords:	klaster, kedelai, jaringan syaraf tiruan; cluster, soybean, artificial neural network
Subjects:	Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science)
Divisions:	Faculty of Mathematics and Science > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	EKO BUDI RAHARJO
Date Deposited:	19 Jan 2024 02:21
Last Modified:	19 Jan 2024 02:21
URI:	http://repository.its.ac.id/id/eprint/105559

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