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All Journal KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal ABDIMAS Budi Darma Bulletin of Data Science Ulead : Jurnal E-pengabdian JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Yasir Hasan
Universitas Budi Darma Medan
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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Journal : Journal of Informatics Management and Information Technology

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Aplikasi Penentuan Jenis Ikan Koi Berdasarkan Pembacaan Komposisi Warna Berbasis Android Yasir Hasan
Journal of Informatics Management and Information Technology Vol. 1 No. 1 (2021): January 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v1i1.96

Abstract

Purchasing koi fish can be done online and buyers will be satisfied because they can find out information on koi fish while surfing for information on koi fish that are sold online, but it is different from buying koi fish directly from the seller. Limited knowledge about the types of koi fish can make buyers confused and buy wrong. Buyers may ask directly to the seller, but the seller will not necessarily be fully served. The existence of an android application that can identify types of koi fish can help direct buyers and equip buyers to interact with sellers in koi fish transactions. Koi fish identification by android application is carried out by two determining factors. The first determining factor reads the color value by comparing the color value of the camera captured image with the values ??available in the database. The second determining factor is based on the texture motif found on the koi fish's body. The second determining factor is done if the first determining factor does not support determining the type of koi fish, such as the color composition is very complex to be compared.
Co-Authors Gulo, Mentari Jun Efferi Hery Sunandar II, Ramadani Ikwan Lubis Kristian Siregar Mesran, Mesran Muhammad Yusuf Batubara Pristiwanto, Pristiwanto Sinaga, Sony Bahagia Sinaga, Sony Bahagia Zulkarnain Zulkarnain