Abstract
Increased population growth has implications for increased industrial and transportation activities. This activity increased gas emissions in the form of Sulfur Dioxide (SO2) and Nitrogen Dioxide (NO2), resulting in acid rain. The measuring instrument, a rain gauge, is used to measure acid rain in Greater Bandung at Telkom University, Indonesia, but it is currently unable to measure in real-time. Therefore, this study aims to measure acid rain in real-time by measuring parameters such as pH, temperature, conductivity, and precipitation to test the acidity contained in rainwater and evaluate the tool's performance with data for March 2022. The analysis uses various statistical methods: anomaly detection, outlier detection, central tendency, person correlation analysis, Mean Absolute Percentage Error, T-test, and Analysis of Variance (ANOVA). Each parameter can be worked out in real-time based on the central tendency and rain dispersion results. If there is only daily rain, then the correlation for each parameter is the highest, namely pH if there is acid rain. The real-time average pH is 6.45; in the laboratory, it is 6.56, so the MAPE value is 5.37 (good category). Even though this tool can work well, it needs to improve the quality of the temperature control in it. Since temperature significantly affects pH, the results show a negative correlation of -0.80 between pH and temperature. In the ANOVA test, the resulting p-value, when compared with data in the laboratory, is >0.05, meaning that the average daily pH does not have a significant difference from the average laboratory test.
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