Abstract 

Water is one of the parameters that can affect the simplicity together. The requirements for testing the water content of simplicia are 10%. The high water content in simplicia can cause the growth of microbes or fungi, resulting in a decrease in quality or damaged simplicia. NIR (Near Infrared) spectroscopy has the ability to analyse at high speed, uses simple, non-destructive preparations, does not require chemicals, and does not cause pollution. However, the resulting data is in the form of large and overlapping spectra, so multivariate analysis is necessary. This study aims to investigate the application of the NIR-Chemometric calibration model and to identify significant differences in determining water content using the NIR-Chemometric method in comparison with gravimetry. The multivariate analysis used is Partial Least Squares (PLS), Principal Component Regression (PCR), and Support Vector Regression (SVR). The best PLS calibration model, with an R-squared value of 0.9507, yields a calibration coefficient of 0.9507; RMSEC of 0.8965, and RMSECV of 0.9485. The resulting R-square LOOCV is 0.91, and 2-FCV is 0.9425. The results of the t-test comparing the two samples of confidence showed that the water content obtained from the two methods did not show a significant difference, with a p-value of 0.935 > 0.05, indicating a 95% confidence level.