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KLASIFIKASI DAGING HEWAN SAPI , KAMBING, DAN BABI DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION

NUUR FAUZAN, ANUGRAH (2021) KLASIFIKASI DAGING HEWAN SAPI , KAMBING, DAN BABI DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.

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Abstract

Klasifikasi daging hewan banyak dilakukan dengan menggunakan metode untuk mempermudah pengenalan jenis daging. Salah satu metode yang digunakan pada penelitian ini adalah Jaringan Syaraf Tiruan Backpropagation. Algoritma Backpropagation merupakan error output untuk mengubah nilai bobot-bobot dalam arah mundur. Untuk mendapatkan error ini, tahap perambatan maju harus dikerjakan terlebih dahulu. Pada penelitian ini menggunakan metode ekstraksi ciri tekstur GLCM yang dimanfaatkan untuk klasifikasi jenis daging sapi, kambing dan babi. Nilai accuracy sistem pada pengujian kelas jenis daging adalah 90,5 % dengan rincian nilai accuracy kelas daging babi sebesar 100 %, kelas daging kambing sebesar 85.7 %, dan kelas daging sapi sebesar 85,7 %, nilai accuracy didapatkan dengan membandingkan nilai citra yang terklasifikasi dengan jumlah total citra pengujian.

Item Type: Thesis (S1)
Contributors:
ContributionContributorsNIP/NIM
Thesis advisorSaraswati, IrmaUNSPECIFIED
Thesis advisorFahrizal, RianUNSPECIFIED
Additional Information: The classification of animal meat is mostly done using methods to facilitate the identification of types of meat. One of the methods used in this study is the Backpropagation Neural Network. The Backpropagation Algorithm is an output error for changing the weight values in the backward direction. To get this error, first, the forward propagation stage must be done. In this study, the GLCM texture feature extraction method used for classification of types of beef, goat and pork. The accuracy value of the system in testing the meat type class is 90.5% with details of the accuracy value for pork class is 100%, goat meat class is 85.7%, and beef class is 85.7%, the accuracy value is obtained by comparing the classified image value. with the total number of test images.
Uncontrolled Keywords: Kata Kunci : Daging Hewan sapi, kambing dan babi, Jaringan Syaraf Tiruan Backpropagation Keywords: Beef, goat, and pork, Backpropagation artificial Nueral Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Perpustakaan Pusat
Date Deposited: 02 Aug 2022 13:42
Last Modified: 02 Aug 2022 13:42
URI: http://eprints.untirta.ac.id/id/eprint/15117

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