Implementation of Naive Bayes for Classification and Potentially MSMEs Analysis

¹ Tanri Abeng University, Information System Department, Jakarta Selatan, Indonesia
² Tanri Abeng University, Informatic Engineering Department, Jakarta Selatan, Indonesia,

^* Corresponding author: meta.amalya@tau.ac.id

Abstract

Micro Small and Medium Enterprises (MSMEs) have an important role for a country in significantly increasing its economic growth, its high absorptive capacity to labor can reduce unemployment, and has become the biggest contributor of gross domestic product value. Therefore, the government should give more attention to MSMEs. However, the government does not have any information on the results of clustering analysis and prediction of potential business types from existing MSMEs data. This study aims to assist the government by presenting the results of potential MSMEs processing analysis in Tangerang region based on business characteristics in each region, using Naive Bayes. From the data of the number of MSMEs in Tangerang region, it has been successfully classified and the result of its analysis has become recommendation for the government in establishing the grow up as well as the provision of business assistance for the potential business field.