Discriminant Model Exploration for Classification Stingless Honey Fluorescence Data Spectra with Principal Component Analysis (PCA)

Honey is an agricultural product that is very easily polluted. One type of honey-producing bee is the stingless bee, where this type of bee has its own uniqueness and quite high selling value. The weakness of honey from this type of bee is that it has a high water content, so it is quite susceptible to damage in terms of quality. Therefore, in order to survive in the market, there are treatments such as thickening and adding mixed products to the honey. Some sample data were obtained from the location of this type of honey cultivator, then fluorescence-based spectrum data was collected with certain test scenarios. Discriman model analysis with principal component analysis is a tool to see the distribution of spectral data in this case. Principal Component (PC) 1 with a value of 63% and PC 2 only 36% is the basis for consideration for proposing a generative model in processing spectral data that has a higher percentage of information values included in the dataset.