Open AccessMetode K-Means Untuk Pemetaan Persebaran Usaha Mikro Kecil Dan Menengah
Author(s) -
Dwi Remawati,
Dicky Jordan Aji Putra,
Tri Irawati
Publication year - 2021
Publication title -
jurnal teknologi informasi dan komunikasi sinar nusantara
Language(s) - English
Resource type - Journals
eISSN - 2620-7532
pISSN - 2338-4018
DOI - 10.30646/tikomsin.v9i2.574
Subject(s) - government (linguistics) , business , benchmark (surveying) , small and medium sized enterprises , globalization , cluster analysis , marketing , industrial organization , finance , economics , computer science , geography , market economy , philosophy , linguistics , geodesy , machine learning
Developments in the current era of globalization are very dependent on the economic sector which is the benchmark of success carried out by the government. The role of the community in national development in the economic field is the existence of Micro, Small and Medium Enterprises (MSMEs). To increase the role of MSMEs as a benchmark for the success of the economic sector, there must be support from the government, such as assistance for business owners with limited costs. The purpose of this study is to determine community business groups as a measure of the level of business, making it easier for the government to provide assistance. The K-Means Clustering method is a method used for grouping business levels based on the income that exists in today's society. The result of this research is a website-based business-level grouping system used by the Cooperatives and SMEs Office by grouping them into micro, small and medium-sized businesses based on income/assets.