PENERAPAN TEORI ANOVA PADA BUBUK KOPI SEBAGAI FILTER UDARA BERBASIS IOT

This study aims to analyze the effectiveness of five types of coffee grounds as air filters in an Internet of Things (IoT)-based system with data storage in Firebase. To determine the performance of each type of coffee grounds in filtering air, the Analysis of Variance (ANOVA) method is applied. ANOVA is used to identify significant differences in filtering capabilities among the five different types of coffee grounds.

The IoT system developed in this research is equipped with air quality sensors connected to a microcontroller to monitor parameters such as dust particles, humidity, and temperature. The data obtained from the sensors is stored and analyzed using Firebase as the cloud-based storage platform. The results of the study indicate significant differences in air filtering capabilities among the five types of coffee grounds tested. Coffee ground type Excelso demonstrated the best performance with the highest filtration efficiency, while type Luwak White Koffie showed the lowest performance.

This research highlights the potential use of coffee grounds as an eco-friendly and effective air filter material. The implementation of the IoT-based system enables real- time air quality monitoring and efficient data storage in Firebase. The findings of this study are expected to contribute to the development of innovative and sustainable air filtration technologies.

Keywords: ANOVA, Coffee Grounds, Air Filter, Internet of Things (IoT), Firebase