Perancangan Aplikasi Berbasis Web Sebagai Alat Pendukung Keputusan Dalam Memilih Ac Hemat Energi

Maimuzar ., Ruzita Sumiati, Haris ., Desmarita Leni, Aggrivina Dwiharzandis

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.


Keywords


Efficient, brand, air conditioner (AC), energy-saving

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References


IEA, “he Future of cooling in Southeast Asia,” License: CC BY 4.0, 2019.

EBTKE. Direktorat Jenderal Energi Baru Terbarukan dan Konservasi Energi, “PENGONDISI UDARA (AC),” EBTKE. https://simebtke.esdm.go.id/sinergi/skem-label/konsumen/pengondisi-udara-ac

R. ADRIANSYAH, Adriansyah; LENI, Desmarita; SUMIATI, “Comparative analysis of energy-efficient air conditioner based on brand,” Polimesin, vol. 20, no. 2, pp. 121–127, 2022, [Online]. Available: http://e-jurnal.pnl.ac.id/polimesin/article/view/3625

S. H. Huh, S. Y., Jo, M., Shin, J., & Yoo, “Impact of rebate program for energy-efficient household appliances on consumer purchasing decisions: The case of electric rice cookers in South Korea,” Energy Policy, vol. 129, pp. 1394–1403, 2019, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0301421519302228

B. Wang, Z., Sun, Q., Wang, B., & Zhang, “Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective,” J. Clean. Prod., vol. 238, p. 117896, 2019, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0959652619327660

D. Leni, “Prediksi Pelabelan Rating AC Efisiensi Energi Menggunakan Pemodelan Machine Learning,” Maj. Ilm. Momentum, vol. 19, no. 1, pp. 12–19, 2023, [Online]. Available: https://publikasiilmiah.unwahas.ac.id/index.php/MOMENTUM/article/view/7832

W. Yang, Z., Ding, L., Xiao, H., Zhang, G., Wang, B., & Shi, “All-condition measuring methods for field performance of room air conditioner,” Appl. Therm. Eng., vol. 180, p. 115887, 2020, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S135943112033369X

A. Almogbel, F. Alkasmoul, Z. Aldawsari, J. Alsulami, and A. Alsuwailem, “Comparison of energy consumption between non-inverter and inverter-type air conditioner in Saudi Arabia,” Energy Transitions, vol. 4, no. 2, pp. 191–197, 2020, doi: 10.1007/s41825-020-00033-y.

D.Leni.et.al, “Analisis Heatmap Korelasi dan Scatterplot untuk Mengidentifikasi Faktor-Faktor yang Mempengaruhi Pelabelan AC efisiensi Energi,” J. Rekayasa Mater. Manufaktur dan Energi, vol. 6, no. 1, pp. 41–47, 2023, [Online]. Available: https://jurnal.umsu.ac.id/index.php/RMME/article/view/13133

J. Khorasani, M., Abdou, M., & Hernández Fernández, “Getting Started with Streamlit.,” Web Appl. Dev. with Streamlit Dev. Deploy Secur. Scalable Web Appl. to Cloud Using a Pure Python Fram. erkeley, CA Apress., pp. 1–30, 2022, [Online]. Available: https://link.springer.com/chapter/10.1007/978-1-4842-8111-6_1

J. M. Nápoles-Duarte, A. Biswas, M. I. Parker, J. P. Palomares-Baez, M. A. Chávez-Rojo, and L. M. Rodríguez-Valdez, “Stmol: A component for building interactive molecular visualizations within streamlit web-applications,” Front. Mol. Biosci., vol. 9, no. September, pp. 1–10, 2022, doi: 10.3389/fmolb.2022.990846.

C. Roth, R. E., Hart, D., Mead, R., & Quinn, “Wireframing for interactive & web-based geographic visualization: designing the NOAA Lake Level Viewer,” Cartogr. Geogr. Inf. Sci., vol. 44, no. 4, pp. 338–357.

D. A. Siriwardhana, M., & Namal, “Comparison of Energy Consumption between a Standard Air Conditioner and an Inverter-type Air Conditioner Operating in an Office Building,” SLEMA J., vol. 20, no. 1&2, pp. 1–6, 2017.

IESR, “Mengenal Air Conditioner (AC) yang Hemat dan Efisien Energi,” 2018. https://iesr.or.id/mengenal-air-conditioner-ac-yang-hemat-dan-efisien-energi-2

M. K. Park, Y. C., Kim, Y. C., & Min, “Performance analysis on a multi-type inverter air condition,” Energy Convers. Manag., vol. 42, no. 13, pp. 1607–1621, 2001, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0196890400001473

S. Wu, J., Liu, C., Li, H., Ouyang, D., Cheng, J., Wang, Y., & You, “Residential air-conditioner usage in China and efficiency standardization,” Energy, vol. 119, pp. 1036–1046, 2017, [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0360544216316437




DOI: https://doi.org/10.30596/rmme.v6i2.16255

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