eprintid: 50468
rev_number: 18
eprint_status: archive
userid: 12460
dir: disk0/00/05/04/68
datestamp: 2022-04-13 07:32:13
lastmod: 2022-04-13 07:41:45
status_changed: 2022-04-13 07:32:13
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Yulia Siti Ambarwati, NIM.: 16650078
title: KLASIFIKASI TELUR FERTIL DAN INFERTIL
PADA CITRA CANDLING TELUR ITIK MAGELANG
MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (KNN)
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: Itik Magelang, Citra Candling, Telur Fertil, Variance Threshold, KNN
note: Pembimbing: Dr. Shofwatul ’Uyun, S.T., M.Kom
abstract: Magelang ducks as one of the leading cattle in Central Java that has the best
egg quality is a promising commodity for poultry farmers. To increase the
productivity of Magelang ducks, candling is an important process for sorting fertile
and infertile eggs. However, the manual candling process is limited to the accuracy
of human vision. Therefore, researchers want to utilize technology in the process of
duck egg candling that subsequently classified using a computer.
The research began with image acquisition. The next step is pre-processing
the image by cropping, resizing, and segmenting with the triangle threshold
followed by the extraction of the color, shape, and Gray Level Co-ocurrence Matrix
(GLCM) texture features. After normalizing the results of feature extraction, then
perform the feature selection using the variance threshold method. Then classify
the relevant features using the KNN algorithm. This study aims to choose the best
features of the best classification performance. The analysis is to find the highest
solution and the fastest time in the classification process.
The results of this study showed the highest accuracy of 92.31% and the
classification time of 0.008 seconds on features: green, roundness, variance, and std
at the value of k = 5.
date: 2020-05-12
date_type: published
pages: 98
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Yulia Siti Ambarwati, NIM.: 16650078  (2020) KLASIFIKASI TELUR FERTIL DAN INFERTIL PADA CITRA CANDLING TELUR ITIK MAGELANG MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (KNN).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/50468/1/16650078_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/50468/2/16650078_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf