๐Ÿ“… 01 July 2020
DOI: 10.51903/elkom.v13i1.136

Deteksi Penyakit Gagal Ginjal Kronis Menggunakan Algoritma ID3

Jurnal Elektronika dan Komputer
Universitas Sains dan Teknologi Komputer

๐Ÿ“„ Abstract

Chronic kidney failure is the failure of kidney function in maintaining metabolism and fluid and electrolyte balance in the body. Chronic kidney disease initially does not show significant symptoms and signs but can develop rapidly into kidney failure. Kidney disease can be prevented and treated if known earlier. One way to find out chronic kidney failure is to detect using data mining.
Iterative Dichotomiser 3 (ID3) algorithm is one of the classification methods and is a type of method that can map or separate two or more different classes. Based on the measurement of performance classification of 80% of training data from 400 data used, it shows that the accuracy value reached 96.25%. It can be concluded that the ID3 Algorithm method is feasible to be used in research predictions for chronic kidney failure.

๐Ÿ”– Keywords

#chronic kidney disease #classification #ID3

โ„น๏ธ Informasi Publikasi

Tanggal Publikasi
01 July 2020
Volume / Nomor / Tahun
Volume 13, Nomor 1, Tahun 2020

๐Ÿ“ HOW TO CITE

Safuan Safuan, "Deteksi Penyakit Gagal Ginjal Kronis Menggunakan Algoritma ID3," Jurnal Elektronika dan Komputer, vol. 13, no. 1, Jul. 2020.

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