Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile

Rismawan Fajril Falah; Oky Dwi Nurhayati; Kurniawan Teguh Martono

doi:10.14710/jtsiskom.2016.12720

DOI: https://doi.org/10.14710/jtsiskom.2016.12720

Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile

Rismawan Fajril Falah , Oky Dwi Nurhayati, Kurniawan Teguh Martono

Program Studi Sistem Komputer, Universitas Diponegoro, Indonesia

Published: 23 Apr 2016.

Citation Format:

Abstract

Peningkatan kebutuhan daging sapi di Indonesia saat ini dimanfaatkan pedagang-pedagang curang untuk mengambil banyak keuntungan. Penjualan daging sapi berkualitas buruk menimbulkan kecemasan bagi masyarakat karena kandungan yang sangat berbahaya. Kualitas daging sapi yang baik dapat ditentukan dari warna, bau, tekstur dan kenampakan. Masyarakat pada umumnya menggunakan penglihatan kasat mata untuk menentukan kualitas daging sapi. Namun cara tersebut masih kurang efektif karena mata memiliki kelemahan untuk melihat suatu objek secara detail. Penelitian ini bertujuan merancang dan membuat aplikasi untuk mendeteksi kualitas daging sapi dengan menggunakan proses pengolahan citra. Aplikasi dibuat menggunakan sistem operasi Android yang terintegrasi dengan SDK Android, library OpenCV dan Eclipse. Proses deteksi dilakukan dengan cara pengambilan gambar daging sapi dan diolah dengan beberapa tahap pengolahan citra digital. Tahap pengolahan terdiri dari pra pengolahan citra aras keabuan, segmentasi Region of Interest, ekualisasi histogram dan analisis nilai statistik ekstraksi ciri. Penentukan kualitas daging sapi yang lebih efektif dapat dilakukan dengan melihat hasil analisis pengolahan citra. Penelitian ini menunjukkan hasil analisis akurasi ketepatan baca aplikasi adalah 90%.

Fulltext View|Download Email colleagues

Keywords: Android; Ekstraksi Ciri; OpenCV; Pengolahan Citra; Region of Interest

Article Metrics:

Article Info

Section: Original Research Articles

Language : ID

In Volume 4, Nomor 2, Tahun 2016 (April 2016)

RFID Based Parking System and Vehicle Plate Number Image Recognition Identification of Bamboo Species Based on Leaf Texture using Gray Level Co-Occurrence Matrix and Gray Level Run Length Matrix SVM optimization using a grid search algorithm to identify robusta coffee bean images based on circularity and eccentricity Comparison of K-Means Clustering and Growing Region Segmentation Methods for Area Measurement of Mangrove Forests More related articles

Most cited articles

Flood Prediction with Ensemble Machine Learning using BP-NN and SVM Perancangan Jaringan Sensor Terdistribusi untuk Pengaturan Suhu, Kelembaban dan Intensitas Cahaya Android Application of Expert System for Gastroenteritis Detection Comparative study of four indoor empirical propagation models for campus wireless network Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi More cited articles

Last update:

Game Animasi Animal Karambol Berbasis Aplikasi Android untuk Meningkatkan Pengetahuan Sains pada Anak
Amat Hidayat, Maulida Nur. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 6 (6), 2022. doi: 10.31004/obsesi.v6i6.3277
Classification of Beef and Lamb Patterns Using Conducting Polymer Sensor Series and Kohonen Algorithm Method
Benrad Edwin Simanjuntak, Marhaposan Situmorang, Syahrul Humaidi, Marzuki Sinambela. Science and Technology Applications, 126 , 2023. doi: 10.4028/p-oj34o8
Image Processing System for Early Detection of Cocoa Fruit Pest Attack
Basri, Harli, Indrabayu, Intan Sari Areni, Rosmawati Tamin. Journal of Physics: Conference Series, 1244 (1), 2019. doi: 10.1088/1742-6596/1244/1/012003
The Best Classification Algorithm for Identification Beef Quality Based on Marbling
Hanny Hikmayanti Handayani, Sarifuddin Madenda, Eri Prasetyo Wibowo, Tubagus Maulana Kusuma, Sigit Widiyanto, Anis Fitri Nur Masruriyah. 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020. doi: 10.1109/ICIC50835.2020.9288624

Last update: 2024-11-04 20:48:49

Image Processing System for Early Detection of Cocoa Fruit Pest Attack
Basri, Harli, Indrabayu, Intan Sari Areni, Rosmawati Tamin. Journal of Physics: Conference Series, 1244 (1), 2019. doi: 10.1088/1742-6596/1244/1/012003
The Best Classification Algorithm for Identification Beef Quality Based on Marbling
Hanny Hikmayanti Handayani, Sarifuddin Madenda, Eri Prasetyo Wibowo, Tubagus Maulana Kusuma, Sigit Widiyanto, Anis Fitri Nur Masruriyah. 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020. doi: 10.1109/ICIC50835.2020.9288624

Copyright (c) 2016 Jurnal Teknologi dan Sistem Komputer
under http://jtsiskom.undip.ac.id/index.php/jtsiskom/about/editorialPolicies#custom-2.

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:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Teknologi dan Sistem Komputer).

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.

Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile

EDITORIAL OFFICE OF JURNAL TEKNOLOGI DAN SISTEM KOMPUTER