“Principal Component Analysis-Driven Feature Reduction for Predicting Coffee Quality Using a Machine Learning Approach”, Int. J. Appl. Sci. Smart Technol., vol. 8, no. 1, pp. 183–202, Jun. 2026, doi: 10.24071/pmjkr989.