We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Implementasi Fuzzy C-Means Clustering dalam Pengelompokan UKM Di Kabupaten Rokan Hulu.
- Authors
Rouza, Erni; Fimawahib, Luth
- Abstract
To increase Small and Medium Enterprises (UKM) in Rokan Hulu Regency which become creative and innovative industries, of course the data collection on the distribution of UKM must be up to date and valid so that the government can provide policies or assistance to business actors to develop their businesses especially in this pandemic situation. This research aims to explore the potential of UKM and classify the types of UKM in Rokan Hulu and create a new application using the Fuzzy C-Mean Clustering method. Fuzzy C-Mean Clustering (FCM) is a data clustering technique in which the existence of each data point in a cluster is determined by the degree of its membership. The variable that used based of income, asset, and total man power while to classificasion type of small and medium Enterprises that cluster to be three kind, Medium Enterprises,Small Enterprises, and Micro Enterprises. Based of examination methode Fuzzy CMean Clustering can classification type of Small and Medium Enterprises based of 3 cluster that Medium Enterprises, Small Enterprises, Micro Enterprises and than validation scorce almost one numbered, for those show that Fuzzy C-Means Clustering have high acuration level in 80-90 %.
- Subjects
SMALL business; DATA distribution; LABOR supply; ACQUISITION of data; CLASSIFICATION; PANDEMICS
- Publication
Techno.com, 2020, Vol 19, Issue 4, p481
- ISSN
1412-2693
- Publication type
Article
- DOI
10.33633/tc.v19i4.4101