Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 11 (2018): November 2018

Implementasi Algoritme Modified K-Nearest Neighbor (MK-NN) Untuk Diagnosis Penyakit Anjing

Luh Putu Novita Budiarti (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Tri Afirianto (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
25 Feb 2018

Abstract

Dog is one of the most favorite pets. Interacting with dogs has its benefit such as lowering stress levels and leading the owners to have a more active lifestyle. However, the dog's health itself should be taken care of. Dog who suffers from a disease can infect other pets or even humans, so veterinarian help is needed. Things will be difficult if the owners realize that their dogs are sick outside of working hours because there is not much veterinary clinic that open for 24 hours. So the owners should be capable of giving immediate response to their dogs. Therefore, a system is needed to help this problem using Modified K-Nearest Neighbor (MK-NN) algorithm, to help the owner getting their dog diagnosed and giving immediate response. The system is implemented using Java programming language. There are 10 types of the diseases with 46 clinical symptoms. Based on the accuracy test, the maximum average of accuracy obtained is 96.6% with k=2.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...