The Application of The Nearest Neighbor Algorithm in Detecting Appendicitis Disease

 (*)Sari Handayani Mail (STMIK Budi Darma, Indonesia)
 Nelly Astuti Hasibuan (STMIK Budi Darma, Indonesia)
 Putri Ramadhani (STMIK Budi Darma, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/ijics.v2i1.817

Abstract

The expert system is a branch of artificial intelligence that facilitates the knowledge of an expert into an application that can be used to help the work of experts. The knowledge base is formed by an inference engine that translates an expert's knowledge. The result or output of the expert system can not guarantee its certainty. Therefore, it takes several methods that can be used to solve it. In this study, expert systems are applied to the medical or medical world. The following are related to the medical appendicitis disease or better known as appendicitis.Method used to improve the accuracy of the decision of the nearest neighbor algorithm. The nearest neighbor algorithm is an approach to finding a case with proximity or similarity between a new case and an old case. The results of this study is an engineering inference expertise with the aim to obtain clinical decisions of appendicitis diseases on the user (user) as medical treatment as early as

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References

N. Mariana, “Penerapan Algoritma k-NN (Nearest Neighbor) Untuk Deteksi Penyakit (Kanker Serviks),” Dinamika Informatika, vol. 7, p. 27, 2015.

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M. John H. Tilden, “Appendicitis: The Etiology, Hygenic, and Dietetic Treatment,” The Project Gutenberg Literary Archive Foundation, US, 2003.

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Copyright (c) 2018 Sari Handayani, Nelly Astuti Hasibuan, Putri Ramadhani

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The IJICS (International Journal of Informatics and Computer Science)
Published by STMIK Budi Darma.
Jl. Sisingamangaraja No.338 Simpang Limun, Medan, North Sumatera
Email: ijics.stmikbudidarma@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.