CD Skripsi
PENERAPAN METODE REGRESI LINEAR BERGANDA DALAM MEMPREDIKSI LAJU PERTUMBUHAN PENDUDUK KOTA PEKANBARU
Population growth is a phenomenon that significantly impacts the development of
a region across various fields. If not managed properly, it can lead to increased
poverty, unemployment, and crime rates. Action is necessary to anticipate this
rapid population growth, one of which is predicting population numbers. This
study aims to apply Multiple Linear Regression to forecast population growth
rates in Pekanbaru City, aiding the government in making informed policy
decisions to ensure future population needs are met effectively. Variables such as
birth rate, male population, and female population are used as predictors.
Gradient Descent method is also employed to enhance prediction accuracy.
Historical data from 2003 to 2022 is used to train and test the model. Evaluation
results show that Multiple Linear Regression with Gradient Descent provides
excellent predictions, achieving a MAPE of 1.29%, improved from 1.64% without
Gradient Descent.
Keywords: Multiple Linear Regression, Population Growth, Prediction, Gradient
Descent, Pekanbaru City
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