Clustering of MSME Development in Lhokseumawe City after Covid 19 Vaccination

Asrianda; Zulfadli; Asrul Fahmi

doi:10.55529/jpome22.10.19

Authors

Asrianda Faculty of Engineering Informatics Engineering Informatics Engineering Study program
Zulfadli Faculty of Law Department of Law Asrul Fahmi, M. AP Faculty of Social Scienc
Asrul Fahmi Political Science Business Administration Study Program

Keywords:

Cluster, UMKM, Economy, Lhokseumawe, Potential.

Abstract

Clustering is developing the MSME economy that emphasizes cooperation among the various elements . MSMEs' geographical concentration is to link to their ability to synergize. Suppliers of goods, service providers, and business actors are all involved. After the Covid 19 vaccination, develop the economy by managing MSMEs and providing solutions. Clustering can be used to show the region's potential, MSMEs' profiles, regional products, regional opportunities, and qualified businesses that can be developed. Based on testing using the elbow method with SSE, the data clustering process for MSMEs in Lhokseumawe City is 4 with cluster income, namely sound, sufficient, and less, less than optimal (sum of square error). The number of clusters used is four, with the starting point chosen randomly. Cluster 0, which has 20 members; cluster 1, which has three items of data; cluster 2, which has one item of data; and cluster 3, which has six items of data, are the results of grouping into four groups.

Downloads

Download data is not yet available.

Author Biography

Asrul Fahmi, Political Science Business Administration Study Program

Clustering is developing the MSME economy that emphasizes cooperation among the various elements . MSMEs' geographical concentration is to link to their ability to synergize. Suppliers of goods, service providers, and business actors are all involved. After the Covid 19 vaccination, develop the economy by managing MSMEs and providing solutions. Clustering can be used to show the region's potential, MSMEs' profiles, regional products, regional opportunities, and qualified businesses that can be developed. Based on testing using the elbow method with SSE, the data clustering process for MSMEs in Lhokseumawe City is 4 with cluster income, namely sound, sufficient, and less, less than optimal (sum of square error). The number of clusters used is four, with the starting point chosen randomly. Cluster 0, which has 20 members; cluster 1, which has three items of data; cluster 2, which has one item of data; and cluster 3, which has six items of data, are the results of grouping into four groups.