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 Desc | Decission 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) |
Penulis | Harmayani, Harmayani , Sitorus, Lamhot |
Publisher Article | STMIK Budi Darma |
Subtitle Article | JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020 |
Scholar Google | http://scholar.google.com/scholar?q=%2Bintitle%3A&… |
View Article | https://ejurnal.stmik-budidarm… |
DOI | https://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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