Program Studi Sistem Komputer, Universitas Diponegoro, Indonesia
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@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} }
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