Program Studi Sistem Komputer, Universitas Diponegoro, Indonesia
BibTex Citation Data :
@article{JTSISKOM12733, author = {Anggit Sri Herlambang and Oky Dwi Nurhayati and Kurniawan Teguh Martono}, title = {Sistem Pendeteksi Kualitas Daging Dengan Ekualisasi Histogram Dan Thresholding Berbasis Android}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {4}, number = {2}, year = {2016}, keywords = {Ekualisasi Histogram; Thresholding; Ekstraksi Ciri; Android; OpenCV; Eclipse}, abstract = {Kebutuhan daging sapi yang meningkat sering dimanfaatkan oleh penjual daging sapi untuk melakukan kecurangan. Kecurangan yang sering dimanfaatkan biasanya dalam hal kualitas daging sapi. Kualitas daging ditentukan oleh beberapa parameter, termasuk parameter ukuran, tekstur, karakteristik warna, bau daging dan lain - lain. Parameter adalah salah satu faktor penting untuk menentukan kualitas daging. Umumnya dalam menentukan kualitas daging dilakukan dengan menggunakan indra penglihatan. Sehingga cara manual masih bersifat subjektif dalam menilai kualitas daging. Penelitian ini bertujuan untuk merancang aplikasi sistem pendeteksi kualitas daging dengan sampel 20 citra daging data uji. Sistem pendeteksi kualitas daging dengan ekualisasi histogram dan thresholding berbasis android ini dibangun dengan menggunakan bahasa pemrograman berbasis Android yang terintegrasi dengan SDK Android, Eclipse dan library OpenCV. Metode yang digunakan menggunakan metode pra-pengolahan ekualisasi histogram dan segmentasi thresholding pengolahan citra. Deteksi kualitas daging dilakukan dengan mencari nilai statistik ekstraksi ciri citra berdasarkan data citra daging dari penelitian. Hasil penelitian ini adalah dapat menentukan nilai statistik mean dan standar deviasi dari hasil citra olahan ekualisasi histogram dan thresholding disertai analisis kualitas citra daging sapi. Pengujian black box dari aplikasi sistem pendeteksi kualitas daging ini menunjukkan bahwa semua fungsi yang terdapat pada aplikasi ini telah berhasil berjalan sesuai fungsinya. Penelitian ini harapannya bisa digunakan untuk membantu penelitian tahap selanjutnya.}, issn = {2338-0403}, pages = {404--413} doi = {10.14710/jtsiskom.2016.12733}, url = {https://jtsiskom.undip.ac.id/article/view/12733} }
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