MATEC Web Conf.
Volume 218, 2018The 1st International Conference on Industrial, Electrical and Electronics (ICIEE 2018)
|Number of page(s)||8|
|Section||Control Electronics, Circuits, and Systems|
|Published online||26 October 2018|
Implementation of Naive Bayes for Classification and Potentially MSMEs Analysis
Tanri Abeng University, Information System Department,
2 Tanri Abeng University, Informatic Engineering Department, Jakarta Selatan, Indonesia,
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Initial download of the metrics may take a while.