PREDIKSI HARGA SEWA KOST MENGGUNAKAN METODE STATISTIK MULTIPLE LINEAR REGRESSION

Mohede, Nadif Rayhan Julio (2024) PREDIKSI HARGA SEWA KOST MENGGUNAKAN METODE STATISTIK MULTIPLE LINEAR REGRESSION. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Given the significant influx of students to Surabaya, there is a high demand for affordable boarding house rental near universities. One of the issues that arises is figuring out the rent fee set by the landlord.. This study will focus on solving the problem using machine learning with Multiple Linear Regression (MLR) method. This study also focuses on developing a predictive model for temporary housing rental prices around the National Development University "Veteran" Java. Key variables include rental price, room type, room size, availability of air conditioning, WiFi, private bathrooms, kitchen access, 24-hour access, and distance to the university. The dataset was split into training and testing sets (80:20 ratio) for model development and evaluation. The MLR model achieved an R2 value of 0.76, an RMSE of 211555.8, and a MAPE of 0.18, indicating high predictive accuracy.

Item Type:

Thesis (Undergraduate)

Contributors: