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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) Jurnal Informatika Kaputama (JIK) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Pengabdian Masyarakat IPTEK Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Muhammad Zunaidi
STMIK TRIGUNA DHARMA
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Journal : Journal of Computer System and Informatics (JoSYC)

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Implementasi Algoritma K-Nearest Neighbor Dalam Mendiagnosis Kurap Pada Kucing Marsono Marsono; Asyahri Hadi Nasyuha; Saiful Nur Arif; Muhammad Zunaidi; Nur Yanti Lumban Gaol
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2479

Abstract

Ringworm is an infectious disease caused by keratinophilic fungi on the surface of the skin or other parts of tissues that contain keratin (fur, nails, hair, and horns) in animals and humans. Some fungal species are zoonotic because infected animals can be a source of transmission to humans and vice versa. This disease is often found in domesticated animals and is the oldest mycotic disease in the world. This skin disease is called ringworm because it is thought to be caused by worms and because the symptoms begin with inflammation of the skin's surface which if left unchecked will enlarge to form a ring like circle. The K-Nearest Neighbor (KNN) algorithm is a method for classifying new objects. KNN is a supervised learning algorithm, where the results of new query instances are classified according to the majority of categories in KKN. The class that appears the most is the class resulting from the classification. Nearest Neighbor is an approach to calculate the proximity between the new case and the old case, which is based on matching the weights of a number of existing features. This study aims to make it easier for patients to know the health condition of their pet cat.
Co-Authors Asi Nani Padot Simatupang Asyahri Hadi Nasyuha Beni Andika Darjat Saripurna Dicky Nofriansyah Dwi Nanda Cahyo Elfitriani Elfitriani Elisa Elisa Emelia Lette Etika Purnama Dewi Faisal Taufik Fifin Sonata Hafizah Hafizah Hendrik Suprianto Barasa Hutagalung, Juniar Ishak Ishak Ismarwardi Santoso Jufri Halim Leni Marsaulina Lukito - Marsono Marsono Nur Yanti Lumban Gaol Nurfadhilah Syanti Purwadi Purwadi Rini Kustini Sahdan Efendi Hasibuan Saiful Nurarif Sinta Mega Sinaga Suardi Yakub Suharsil Suharsil Tugiono Tugiono Vina Winda Sari Widiarti Rista Maya Widiarti Widiarti Yaaman Ziliwu