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Journal : Jurnal Rekayasa Material, Manufaktur

Analisis Heatmap Korelasi dan Scatterplot untuk Mengidentifikasi Faktor-Faktor yang Mempengaruhi Pelabelan AC efisiensi Energi Desmarita Leni; Muchlisinalahuddin .; Maimuzar .; Haris .; Hendra .
Rekayasa Material, Manufaktur dan Energi Vol 6, No 1: Maret 2023
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v6i1.13133

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.
Perancangan Aplikasi Berbasis Web Sebagai Alat Pendukung Keputusan Dalam Memilih Ac Hemat Energi Maimuzar .; Ruzita Sumiati; Haris .; Desmarita Leni; Aggrivina Dwiharzandis
Rekayasa Material, Manufaktur dan Energi Vol 6, No 2: September 2023
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v6i2.16255

Abstract

The increase in global energy demand has driven the need for efficient solutions in selecting energy-efficient air conditioners (ACs). This research focuses on designing a web-based application as a decision support tool for choosing energy-efficient ACs. Energy-efficient labeled AC data is obtained from the Directorate General of New and Renewable Energy and Energy Conservation (EBTKE) website. This database is processed according to the system's requirements, where each AC brand is evenly represented to prevent dominance by a few brands. There are 11 different AC brands in this dataset, and each brand has 10 data samples. The web-based application is developed using the Python programming language with the Streamlit framework. This application allows users to compare various AC brands by considering power, annual energy consumption, efficiency value, and electricity cost. In the application design, users can select AC brands according to their needs, set the operating duration, choose the AC efficiency level, and select the inverter AC type. The application presents comparisons in the form of bar charts, making it easy for users to understand the differences in AC characteristics. The average results from the efficiency comparison of each AC brand reveal that Daikin achieves the highest efficiency at 16.36 Energy Efficiency Ratio (EER), while the GREE brand has the lowest efficiency at 5.83 EER. This application can assist consumers and industrial AC stakeholders in making decisions to choose energy-efficient ACs according to their needs.