Chronic Kidney Disease is a very dangerous disease that is often not seriously considered with the effects of this disease which leads to death. More than 26 million people in the United States are not aware of their kidney disease, only 8% of them begin to realize the disease, each body must be known early whether or not the body condition / / by diagnosing it, in this study classifications will be carried out on the diagnostic data attributes Chronic kidney disease aims to simplify the process of classifying symptoms and making decisions on the diagnosis of kidney disease, this process is carried out using a data mining classification approach using the Naïve Bayes Classifier method

Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
Journal Name JURNAL MEDIA INFORMATIKA BUDIDARMA
Contact Phone+6282161108110
Contact Name Mesran
Contact Email mesran.skom.mkom@gmail.com
Location Kota medan, Sumatera utara INDONESIA
Website mib| https://ejurnal.stmik-budidarma.ac.id/index.php/mib|
ISSN ISSN : 26145278, EISSN : 25488368, DOI : http://dx.doi.org/10.30865/mib.v3i1.1060,
Core Subject Science, Engineering,
Meta Subject Computer Science & IT, Control & Systems Engineering, Electrical & Electronics Engineering,
Meta DescDecission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer science)
PenulisHarmayani, Harmayani , Sitorus, Lamhot
Publisher ArticleSTMIK Budi Darma
Subtitle Article JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Scholar Googlehttp://scholar.google.com/scholar?q=%2Bintitle%3A&…
View Articlehttps://ejurnal.stmik-budidarm…
DOIhttps://doi.org/10.30865/mib.v4i3.2…
DOI Number DOI: 10.30865/mib.v4i3.2292
Download Article [1] https://ejurnal.stmik-budidarma.ac.id/in…
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Diagnosis Diagnosis keperawatan Sejarah diagnosa orientasi seksual