JTIK (Jurnal Teknik Informatika Kaputama)
Vol 5, No 2 (2021): Volume 5, Nomor 2 Juli 2021

PENGELOMPOKAN DATA PASIEN TEST URINE DENGAN METODE CLUSTERING PADA KANTOR BADAN NARKOTIKA NASIONAL

WASIT GINTING (Universitas Katolik Santo Thomas Medan)



Article Info

Publish Date
19 Jul 2021

Abstract

Data Mining is a data processing technique by digging various information from a set of stored data. Urine test is a means to determine whether or not a patient is related to narcotic abuse. The National Narcotics Agency (BNN) is an Indonesian non-ministerial government agency (LPNK) that has duties in the fields of prevention, eradication of abuse and illicit trafficking, psychotropic substances, precursors, and other addictive substances except for tobacco and alcohol addicts. The writing of this report uses the clustering method which is one of the data mining techniques for grouping data on the Urine Test Patient at the BNN. By using the k-means algorithm clustering method. By applying 20 alternative data for urine test patients and giving the number of clusters as many as 3, and utilizing the 3 main criteria as research in this report, the number of cluster 1 is 5 data, cluster 2 is 9 data. And cluster 3 of 6 data. This urine test patient data grouping system is designed with the MATLAB application programming language.

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Journal Info

Abbrev

JTIK

Publisher

Subject

Computer Science & IT

Description

JTIK (Jurnal Teknik Informatika Kaputama) diterbitkan oleh Program Studi Teknik Informatika Kaputama sebagai media untuk menyalurkan pemahaman tentang aspek-aspek sistem informasi berupa hasil penelitian lapangan, laboratorium dan studi pustaka. Jurnal ini Terbit 2x setahun yaitu bulan januari dan ...