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Hartono, John Reigton
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Monitoring the Effectiveness of Energy Consumption for Old Buildings Using Data Gathered Through Temperature, Humidity, and Light Intensity Hartono, John Reigton; Utama, Ditdit Nugeraha
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.11706

Abstract

This research discusses the use of the Internet of Things in the monitoring of humidity, temperature, and light intensity conditions in a room that is connected to a mesh network. The objective of this research is to build a system that can monitor room conditions based on microcontrollers which are interconnected in a mesh network. The data are then displayed on a dashboard and categorized as either a comfortable or uncomfortable room based on existing standards. To ensure the accuracy of the system’s values, it is compared to commercial tools, then accuracy and precision are calculated. The system’s standard deviation for temperature is 0.12–0.19%, while its RMSE is 0.16–0.48%, and for humidity, the RMSE is 0.54–0.77%, with a standard deviation of 0.33–0.69%. For light intensity, with the outlier removed, the RMSE is 1.1–4.90% and the standard deviation is 0.79–2.76%. All these values are still comparable to the commercial tools’ accuracy listed in specification sheets. For packet loss, the system is run continuously for nine days, and at the end, the total data sent and data received at the server are calculated to count the differences. The packet loss after nine days and 777,600 data points is 0.00103–0.00193% from all six sensors used in the system.
Co-Authors Utama, Ditdit Nugeraha