SISTEM PAKAR DIAGNOSA PENYAKIT KUCING MENGGUNAKAN METODE CASE-BASED REASONING

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Abstract

Bagi para pecinta kucing, keterbatasan jumlah pakar yaitu dalam hal ini dokter hewan, sering menjadi masalah bagi yang memelihara kucing di rumah dan ingin menjaga kesehatan kucing peliharaannya. Untuk mengatasi masalah ini maka dibuatlah sistem pakar untuk diagnosa penyakit kucing menggunakan metode Case-Based Reasoning dengan algoritma K-Nearest Neighbor. Case-Based Reasoning adalah suatu pendekatan untuk menyelesaikan suatu permasalahan (problem solving) berdasarkan solusi dari permasalahan sebelumnya. Penelitian ini menghasilkan sebuah sistem pakar diagnosa penyakit kucing dengan tingkat akurasi sebesar 90%, yang dimanfaatkan untuk membantu semua orang terutama para pemilik kucing yang ingin mengetahui penyakit dan gejala serta pencegahan penyakit pada kucing.

References

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Published

2016-09-23

Issue

Vol. 1 No. 1 (2016): Vol 1, No 1 (2016): Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Informasi (SAKTI)

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