<![CDATA[Climate monitoring microsystems require stable, accurate temperature measurements to support real-time environmental analysis; however, digital temperature sensors often exhibit fluctuations due to noise, signal interference, and rapid environmental changes, thereby reducing measurement quality and reliability. This study implemented a Moving Average Filter (MAF) on an Arduino-based climate-monitoring microsystem to improve the stability of digital temperature measurements. The system was designed using an integrated digital temperature sensor connected to an Arduino microcontroller, while temperature data were processed using the MAF algorithm. Performance testing was conducted by comparing sensor readings before and after the filter's implementation, using data-level analysis and stability deviation measurements. The experimental results showed that implementing the Moving Average Filter significantly reduced fluctuations in temperature data, yielding more stable and consistent readings than the unfiltered system. In addition, the proposed method improved the quality of temperature monitoring without excessively increasing system complexity. Therefore, Arduino-based Moving Average Filter can be considered an effective and practical solution for enhancing the performance of digital temperature sensors in climate monitoring microsystems.]]>
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