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.

How to cite (IEEE): R. F. Falah, O. D. Nurhayati, and K. T. Martono, "Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile," Jurnal Teknologi dan Sistem Komputer, vol. 4, no. 2, pp. 333-343, Apr. 2016. https://doi.org/10.14710/jtsiskom.2016.12720

How to cite (APA): Falah, R. F., Nurhayati, O. D., & Martono, K. T. (2016). Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile. Jurnal Teknologi dan Sistem Komputer, 4(2), 333-343. https://doi.org/10.14710/jtsiskom.2016.12720

How to cite (BCREC): Falah, R. F., Nurhayati, O. D., Martono, K. T. (2016). Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile. Jurnal Teknologi dan Sistem Komputer, 4 (2), 333-343 (doi:10.14710/jtsiskom.2016.12720)

How to cite (Chicago): Falah, Rismawan F., Oky D. Nurhayati, and Kurniawan T. Martono. "Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile." Jurnal Teknologi dan Sistem Komputer 4, no. 2 (2016): 333-343. Accessed June 15, 2025. https://doi.org/10.14710/jtsiskom.2016.12720

How to cite (Vancouver): Falah RF, Nurhayati OD, Martono KT. Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile. Jurnal Teknologi dan Sistem Komputer [Online]. 2016 Apr;4(2):333-343. https://doi.org/10.14710/jtsiskom.2016.12720.

How to cite (Harvard): Falah, R. F., Nurhayati, O. D., and Martono, K. T., 2016. Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile. Jurnal Teknologi dan Sistem Komputer, [Online] Volume 4(2), pp. 333-343. https://doi.org/10.14710/jtsiskom.2016.12720 [Accessed 15 Jun. 2025].

How to cite (MLA8): Falah, Rismawan Fajril, Oky Dwi Nurhayati, and Kurniawan Teguh Martono. "Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile." Jurnal Teknologi dan Sistem Komputer, vol. 4, no. 2, 23 Apr. 2016, pp. 333-343 , https://doi.org/10.14710/jtsiskom.2016.12720. Accessed 15 Jun. 2025.

BibTex Citation Data :

@article{JTSISKOM12720,
    author = {Rismawan Fajril Falah and Oky Dwi Nurhayati and Kurniawan Teguh Martono},
    title = {Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile},
    journal = {Jurnal Teknologi dan Sistem Komputer},
  volume = {4},
    number = {2},
    year = {2016},
    keywords = {Android; Ekstraksi Ciri; OpenCV; Pengolahan Citra; Region of Interest},
    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%.},
   issn = {2338-0403},   pages = {333--343}  doi = {10.14710/jtsiskom.2016.12720},
    url = {https://jtsiskom.undip.ac.id/article/view/12720}
}

Refworks Citation Data :

@article{{JTSISKOM}{12720}, author = {Falah, R., Nurhayati, O., Martono, K.}, title = {Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {4}, number = {2}, year = {2016}, doi = {10.14710/jtsiskom.2016.12720}, url = {https://jtsiskom.undip.ac.id/article/view/12720} }

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%.

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

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Section: Original Research Articles

Language : ID

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

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Aplikasi Pendeteksi Kualitas Daging Menggunakan Segmentasi Region of Interest Berbasis Mobile

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