Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal KLIK: Kajian Ilmiah Informatika dan Komputer
Nur Arief
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

 1 
Penerapan Algoritma K- Medoids Dalam Mengelompokkan Tingkat Kasus Kejahatan di Setiap Provinsi Nur Arief; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Drug abuse is a very serious problem and needs special attention from all parties. This is evidenced by the increasing number of drug cases and death cases due to the purchase of drugs issued from various media. The impact of drug addiction can be seen in one's physical, psychological and social. Drug abuse cases in each province in Indonesia have varying degrees of cases.This study aims to determine the cluster of drug abuse at high and low levels.The method needed for grouping drug case data is using data mining methods with the K-Medoids algorithm and using a computerized system that is rapidminer 5.3 application.The data used is sourced from the National Narcotics Agency of the Republic of Indonesia with the website: https://bnn.go.id/2015-2017 data which consists of 34 provinces to be divided into 2 clusters.From the calculation of the K-Medoids algorithm, high clusters were 10 provinces and low clusters were 24 provinces.This grouping is expected to be included for the government or related parties to further increase the socialization of the dangers of drugs in order to minimize mortality and crime due to drugs.
Co-Authors Eka Irawan Irfan Sudahri Damanik