Penerapan Algoritma Regresi Linear Sederhana Untuk Prediksi Pengaruh Nilai Omset Terhadap Besaran Pendapatan Bersih Usaha Mikro Kecil Dan Menengah

Abstract

Micro, small and medium enterprises (MSMEs) are one of the business fields that can develop and be consistent
in the national economy. Micro, small and medium enterprises (MSMEs) are good forums for job creation, which
are planned by the government, private sector and individual business actors. The purpose of this study is to
predict the increase in net income of micro, small and medium enterprises that affect the economic growth of
Cilegon City. In this study using quantitative methods, namely analyzing and interpreting the relationship between
variables through accurate and up-to-date data according to the problems in this study. The research method is
carried out by examining data from data that is wrong or can interfere with the analysis process, performs analysis
on the dataset and divides the data into training data and test data. The process of data sharing is 80% used for
training data and 20% for test data. All processes are processed using Python programming. Python libraries
used are numpy, pandas, matplotlib, seaborn, sklearn. The analysis process is done with Kaggel Notebook. The
results of the study resulted in a simple linear regression model y = - 374359.94312876 + (0.20259073 (X)) with
a Correlation value: 0.9999546662293942 Coefficient of determination 0.7244150380582826, Mean Absolute
Error: 243269.23966642626, Mean Squared Error: 71893932500.72606 and 934012073. The final result of the
analysis is a comparison between the actual y and the predicted y in the form of tables and graphs.