Parameters Quality Performance of Signal Fluctuation Based on Data Grouping
Muhammad Irhamsyah, Melinda Melinda, Yunidar Yunidar, Syahrial Syahrial · 2022
The study represents an analysis of several parameters of fluctuating signal quality, which has not been previously carried out. H2O and H2O materials mixed with NaOH have undergone the data acquisition process with a capacitive sensor and produced a high fluctuation signal. Next, the data grouping method for each material is created to obtain the standard deviation value. In addition, several signal quality parameters in the analysis process are calculated, such as power and signal-to-noise ratio (SNR). In the next stage, the results of the two materials based on their data grouping of three groups are compared: per 20, per 50, and 100 data groups. After that, the preprocessing stage calculates each data group's standard deviation value. Furthermore, the signal quality parameters in the signal processing process are gained, namely power and SNR. Here are some fruitful points: the group's highest power and SNR values per 20 data. So, this is because grouping into smaller groups will be better where the values are not that quite different.