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All Journal Indonesian Journal of Electronics and Instrumentation Systems Jupiter Coding: Jurnal Komputer dan Aplikasi Telematika : Jurnal Informatika dan Teknologi Informasi SEMIRATA 2015 Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA BULETIN AL-RIBAATH JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Mekongga: Jurnal Pengabdian Masyarakat
Ikhwan Ruslianto
Jurusan Rekayasa Sistem Komputer, Fakultas MIPA Universitas Tanjungpura
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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Journal : SISFOTENIKA

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KLASIFIKASI TELUR AYAM DAN TELUR BURUNG PUYUH MENGGUNAKAN METODE CONNECTED COMPONENT ANALYSIS Ikhwan Ruslianto
SISFOTENIKA Vol 3, No 1 (2013): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.171 KB) | DOI: 10.30700/jst.v3i1.46

Abstract

Abstract : Research to classify different types of eggs on farms results in a computerized still rare. When in fact can be made of a system of apps that can do the grouping of various types of eggs in abundance. A breeder eggs should not do eggs grouping or counting numbers manually, but with the help of computers, grouping the types of eggs and counting the number of eggs to be precise and accurate. This study provides an alternative to perform grouping or classification of different kinds of eggs using connected component analysis method through an object in an image taken from an egg, so it can solve the problems of classification types of eggs using computer applications. The results of tests on 10 data image that connected component analysis method successfully applied to the classification of eggs with black background conditions and obtained results grouping process chicken eggs and quail eggs with a 100% success rate, and counting the number of eggs classification results with 100% accuracy rate Keywords: segmentation, connected component analysis, classification.
Co-Authors , Syahru Rahmayuda, Haris Febriyanto Ramadhan , Sampe Hotlan Sitorus Agus Harjoko Anugrah Savari Hadisastra Bagus Kurniawan, Bagus Basuki Ilham, Maulana Caecilia Cantica Gita Mileniae Ahen Cucu Suhery Dian Prawira, Dian Dwi Marisa Midyanti Erniajan, Yunita Faizal Cahyo Handoko Fazar Dawamsyach Frasila Frasila Hafiz Muhardi hamdi hamdi Hansen Alexander Rustan Hidayat, Donny Hirzen Hasfani Hutomo Sakti Kartiko Irma Nirmala Irvan Denata Junardi Junardi Karika Sari Kartika Sari Kasliono Kasliono Kevin William Marisa Midyanti, Dwi Mella Geovanie Michael Michael Mislaini Mislaini Muhammad Nauval Muhammad Soneta Rizkilillah Mulia, Agung Wira Nirmala, Irma Perdussanto, Fortunatus Prawira, Ari Yudha Rahmi Hidayati Ramadhan, Fahri Rayco William Retno Vipyana Suryani Ricky Oktariyadi Ridho Subhi Ridwan, Muhammad Taufik Sampe Hotlan Sitorus, Sampe Hotlan Suhardi Suhardi Suhardi . Suhardi Suhardi Syamsul Bahri Syamsul Bahri TAQIYUDDIN, YASPIN Tedy Rismawan Tedy Rismawan Tedy Rismawan Tedy Rismawan Tedy Rismawan Tengku Nopriyanti Murti Thomas Adi Putra Tiara, Ezha Tivano, Dio Uray Ristian Wenewasti, Ignatia Tri Willy Surya Hidayat Yakobus Dapi Yasharsujud, Fauzi Zettia, Zhara