Open AccessApplication of Multiple Linear Regression Algorithm for Motorcycle Sales Estimation
Author(s) -
Elvri Rahayu,
Iin Parlina,
Zulia Almaida Siregar
Publication year - 2022
Publication title -
journal of machine learning and artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2828-9102
pISSN - 2828-9099
DOI - 10.55123/jomlai.v1i1.142
Subject(s) - automotive industry , estimation , linear regression , business , regression analysis , sales management , computer science , marketing , engineering , machine learning , systems engineering , aerospace engineering
CV. Kerinci Motor is a company engaged in the transportation and automotive sector, especially in the sale of motorcycles. The uncertainty in the number of motorcycle sales at this company has hampered the company's development, because the company cannot take definite policies regarding the sales that occur. Therefore, it is necessary to estimate the sales of motorcycles at this company in the future, so that the management can estimate consumer demand in the future. So that the company is able to serve and provide consumer demand. The estimation algorithm that will be used in this research is Multiple Linear Regression which is one of the data mining methods. This method was chosen because it is able to make an estimate by utilizing data regarding sales. The results of the estimated (estimated) sales of manual motorcycles in 2021 by January are 56,941 or 57 motorcycles in the manual category. This means that there is an increase in the number of manual motorbikes by 5 motorbikes, while the results until May 2021 amounted to 65,710 motorbikes. So it can be concluded that sales of motorcycles at CV. Kerinci Motor have increased sales in the next 5 months.