Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Computer Science and Research
M. Safii
TIKOM Tunas Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science

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

Found 1 Documents
Search
Journal : Journal of Computer Science and Research

 1 
Implementation of Clustering on Tobacco Import Data By Country Of Destination Using The K-Means Algorithm Syifa Aisyah Rahmah Sibuea; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.264 KB)

Abstract

Tobacco is a seasonal agricultural product which is not a food commodity, but a plantation commodity. This product is consumed not for food but as a spare time filler or "entertainment", namely as a raw material for cigarettes and cigars. Indonesia is currently one of the countries with the highest smoking rates in the world. The domestic tobacco industry is now growing rapidly, as well as making the types of cigarettes in the country more diverse. In this study, the authors used the k-means clustering data mining technique to classify copper import data according to their original purpose. The results of this study are copper import data clusters. The copper import cluster consists of two clusters, namely the high cluster and the low cluster.
Co-Authors Syifa Aisyah Rahmah Sibuea