Skripsi
VISUALISASI DATA CO₂, SUHU DAN KELEMBAPAN PADA ALAT AIR QUALITY DETECTION (AQD) DI LINGKUNGAN OUTDOOR
Monitoring outdoor air quality requires clear data visualization to enable rapid understanding of environmental conditions. This study develops an air quality visualization system using Streamlit based on CO₂, temperature, and humidity data obtained from the Air Quality Detection device. The data undergo preprocessing, quality classification, and analysis of trends and parameter correlations. The system provides interactive visual outputs, including trend charts, category distribution, correlation heatmaps, and air quality notifications. Experimental results show that the visualization system presents air quality information accurately, is easy to interpret, and assists users in observing changes in outdoor environmental conditions. This system has the potential to support more efficient and informative air quality monitoring.
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