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All Journal Creative Information Technology Journal Journal of Information Technology and Computer Science (JOINTECS) Generation Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara Innovation in Research of Informatics (INNOVATICS) JAMI: Jurnal Ahli Muda Indonesia Joutica : Journal of Informatic Unisla Nusantara of Engineering (NOE) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Danar Putra Pamungkas
Universitas Nusantara PGRI Kediri
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation

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Journal : Innovation in Research of Informatics (INNOVATICS)

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Ekstraksi Citra menggunakan Metode GLCM dan KNN untuk Identifikasi Jenis Anggrek (Orchidaceae) Danar Putra Pamungkas
Innovation in Research of Informatics (INNOVATICS) Vol 1, No 2 (2019): September 2019
Publisher : Informatika Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v1i2.872

Abstract

Orchidaceae is the Latin name of an orchid that has various shapes, colors and sizes of flowers with unique features. The shape and color of the lips or labellum is a unique orchid that is a differentiator from other plants. In general, the types of orchids have similar colors, textures and flower petals, this causes a person to have difficulty identifying orchid species, especially people who do not know the characteristics of some types of orchids. Therefore the process of identifying orchids needs to be done automatically with a computer system so that it is expected to make it easier to identify the types of orchids. In this study using the GLCM method for feature extraction and KNN method for the process of identifying orchids or orchidaceae. Stages of identification of orchid images are changing the initial size of the image, conversion into gray degrees, median filters, feature extraction of the GLCM method and identification with the KNN method. The success rate of identifying Orchidaceae or orchids reaches 80% with an average of 77%. K value influences the success rate of identification, the greater the K value the smaller the accuracy.
Co-Authors A. Rifqi Yarzuq Arfani Abdul Azis Afrizal Ahmad Firdaus Ahmad Bagus Setiawan Ahmad Minanul Aziz Andy suara Anggi Nur Fadzila Anis Nur Rohmah Ardhi Mardiyanto Indra Purnomo Ardi Sanjaya Bagus Nugraha Bayu Adjirahman Sukardi Damar Zanuar Eka Prastya Daniel Swanjaya Didik Tri Setiawan Dwi Fikri Haika Eko Nur Cahyono Erwin Syahrudin Fajar Rohman Hariri Firmansyah Mukti Wijaya Ibram Farhani Yusuf Imam Machfudin Imam Wicaksono Indra Aditya Fajar Joko Purwanto Laili Rahma Fauziyah M Anas Restuning Pamuji Mohamad Inung Pangestu Nadya Khalisah Zuhal Patmi Kasih Ratih Kumalasari Ratih Kumalasari Niswatin Resty Wulaningrum Resty Wulanningrum Saiful Hamzah Stifen Zuro Mudjiono Tanggon Maulana Mahardika Taufik Rizki Kurniawan Tri Krisna Wati Aprilia Trinanda Majid Cipta Sidqika Triyo Kristantio Wahyu Rahman Listiyanto Nugroho Widodo, Danang Wahyu Yulia Murhatiningtyas Yulingga Nanda Hanief