Small Medium Enterprise Data Visualization Analysis as Strategic Business Development

Abstract

Micro, Small, and Medium-Sized Enterprises (MSMEs) are economically productive enterprises that are privately owned. The purpose of micro, small, and medium-sized enterprises is to grow and develop the national economy in tandem with the objective of creating a competitive Indonesian society through local economic growth. Data science is a body of knowledge that incorporates a number of concepts and analytical techniques capable of solving contemporary problems. The implementation of data visualization is an effective method for discovering insights or information concealed within data. This investigation makes use of MSME data for the Jember district for the period 2020-2021. Using the scatter plot model, asset attributes and MSME turnover by region (sub-district) and business type were utilized to visualize the data. The dataset used in the analysis process has been pre-processed to ensure that the research conducted is relevant to the problem to be solved. The scatter plot model was selected for the visualization technique due to its ability to visualize data with attribute characteristics that have a correlation or attachment. Based on the results of a data analysis visualizing the productivity achievements of MSMEs in Jember Regency for the period 2020-2021, the level of achievement for MSME turnover in Jember Regency is no more than Rp. 25,000,000,-. Based on the findings of the analysis, the average proportion of MSMEs at this level is 92%. The results of the analysis also indicate that the type of trading business achieves the greatest turnover. The results of a comparative analysis of data on turnover achievements with assets indicate that the types of production and service businesses have the highest percentage, 64%, whereas the types of trading businesses score 56%.