Analysis of Drug Abuse Users in North Sumatera With K-Means Algorithm

Author:

Sharif Amer,Amelia Savittri Selina,Kemala Putri Syarifah

Abstract

Abstract This study aimed to analyse the background of drug abuse users to provide an overview of drug abuse patterns in particular with sampling from North Sumatera, Indonesia. Data was obtained from several Medan Rehabilitation Centers. K-means clustering model was selected for data modelling. The results of the algorithm showed which city has the highest drug abuse users and the educational background of drug abuse users.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference6 articles.

1. An Introduction to Data Mining;Larose,2005

2. Penerapan Algoritma K-Means Clustering Analysis Pada Penyakit Menular Manusia (Studi Kasus Kabupaten Majalengka);Bastian;Jurnal Sistem Informasi,2018

3. Algorithm AS 136: A K-Means Clustering Algorithm;Hartigan;Journal of the Royal Statistical Society. Series C (Applied Statistics),1979

4. Data Clustering: 50 Years Beyond K-Means;Jain;Pattern Recognition Letters,2010

5. Penerapan Algoritma K-Means Clustering Untuk Pengelompokkan Penyebaran Diare Di Kabupaten Langkat;Nasari;Cogito Smart Journal,2016

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