Analisis Heatmap Korelasi dan Scatterplot untuk Mengidentifikasi Faktor-Faktor yang Mempengaruhi Pelabelan AC efisiensi Energi

Desmarita Leni, Universitas Muhammadiyah Sumatera Barat, Muchlisinalahuddin ., Universitas Muhammadiyah Sumatera Barat, Maimuzar ., Politeknik Negeri Padang, Haris ., Politeknik Negeri Padang, Hendra ., Politeknik Negeri Padang
Received: 2023-01-08
Accepted: 2023-04-01
Published: 2023-03-31

Abstract


This research aims to evaluate the factors that affect AC energy efficiency using statistical analysis methods. The data used is energy-efficient AC labeling data obtained from the Directorate General of New, Renewable, and Energy Conservation Energy (EBETKE) database. Violin plots are used to see the distribution of the data, a correlation heatmap is used to display the level of correlation between variables, and scatterplots and R-squared values are used to visualize linear relationships and measure the strength of the relationship. The results of the study show that efficiency has a very strong positive correlation with rating, with a correlation coefficient of 0.75, while it has a weak negative correlation with other variables. The R-squared value obtained for the linear relationship between efficiency and rating is 0.56, which indicates that 56% of the variation in efficiency can be explained by the variation in rating. This result shows that rating is a very influential factor on AC energy efficiency.


Keywords


Correlation heatmap, scatterplot, AC labeling, energy efficiency

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DOI: https://doi.org/10.30596/rmme.v6i1.13133

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