Analisis Prediksi Harga Rumah di Bandung Menggunakan Regresi Linear Berganda

Rafif Nauval Tuah Siregar; Vijay Sitorus; Willy Pramudia Ananta

doi:10.55606/jcsrpolitama.v1i6.3038

Authors

Rafif Nauval Tuah Siregar Universitas Negeri Medan
Vijay Sitorus Universitas Negeri Medan
Willy Pramudia Ananta Universitas Negeri Medan

DOI:

https://doi.org/10.55606/jcsrpolitama.v1i6.3038

Keywords:

Prediction, House Price, Multiple Linear Regression

Abstract

This research aims to develop a model for estimating house prices in the Bandung area using the Multiple Linear Regression approach. House prices play a significant role in the decision-making process for purchases. The ability of this model to predict house prices with high accuracy provides significant benefits for potential buyers, sellers, and various stakeholders in the housing industry. Data on house prices and potential variables such as land area, building area, number of bedrooms, nearby facilities, and geographical location were collected for analysis. The use of Multiple Linear Regression allows for a deeper understanding of the relationships between these variables and the value of the house. The analysis results show a strong correlation between these variables and house prices in Bandung. The developed Multiple Linear Regression model can provide satisfactory predictions of house prices. This model can be used as a tool for both homebuyers and sellers to determine fair prices and assist property developers in identifying key factors influencing house prices in the Bandung region.

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