Program Studi Sistem Komputer, Universitas Diponegoro, Indonesia
BibTex Citation Data :
@article{JTSISKOM12719, author = {Lazuardi Arsy and Oky Dwi Nurhayati and Kurniawan Teguh Martono}, title = {Aplikasi Pengolahan Citra Digital Meat Detection Dengan Metode Segmentasi K-Mean Clustering Berbasis OpenCV Dan Eclipse}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {4}, number = {2}, year = {2016}, keywords = {k-mean clustering; Statistik; Android; OpenCV; Eclipse}, abstract = {Kualitas suatu daging sapi ditentukan oleh beberapa parameter, diantaranya adalah parameter ukuran, terkstur, ciri warna, bau dari daging dan lain – lain. Parameter terseburt merupakan salah satu faktor penting untuk menentukan kualitas daging. Umunya dalam menetukan kualitas baik buruknya daging dilakukan dengan cara manual yaitu menggunakan indera penglihatan dari segi warna maupun bentuk yang memiliki banyak kelemahan seperti penilaian oleh manusia yang bersifat subyektif dan tak konsisten. Tujuan dari penelitian ini adalah untuk membuat aplikasi untuk mendeteksi kualitas daging. Aplikasi dibangun dengan menggunakan bahasa pemrograman Java pada Android yang terintegrasi dengan Android SDK dan Eclipse menggunakan library OpenCV sehingga aplikasi ini berbasis mobile. Metode yang dipakai menggunakan segmentasi k-mean clustering selanjutnya dianalisis secara statistik. Pendeteksian kualitas dilakukan dengan menggunakan pencocokan tekstur dan warna daging berdasar data yang sudah ada. Aplikasi yang dibuat dapat digunakan untuk mencari nilai k yang signifikan serta mampu mendeteksi kualitas baik atau buruknya daging dengan melakukan pengujian terhadap beberapa jenis daging serta aplikasi ini dapat digunakan oleh masyarakat luas.}, issn = {2338-0403}, pages = {322--332} doi = {10.14710/jtsiskom.2016.12719}, url = {https://jtsiskom.undip.ac.id/article/view/12719} }
Refworks Citation Data :
Article Metrics:
Last update:
Identification using the K -Means Clustering and Gray Level Co-occurance Matrix (GLCM) At Maturity Fruit Oil Head
Ripeness level detection of oil palm fresh fruit bunches using K-means clustering algorithm
Regional clustering based on economic potential with a modified fuzzy k-prototypes algorithm for village developing target determination
Road extraction in satellite image with fuzzy c-mean
Last update: 2024-11-04 22:51:42
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.
