Abstrak 
Evaluation Of Sapodilla Fruit Quality Using Near-infrared Spectroscopy
Kusumiyati, Syariful Mubarok, Jajang Sauman Hamdani, Farida, Wawan Sutari, Yuda Hadiwijaya, Ine Elisa Putri, Tino Mutiarawati
Universitas Padjadjaran, Journal of Food, Agriculture & Environment Vol.16 (1): 49-53. 2018, WFL Publisher Science and Technology, www.world-food.net
Bahasa Inggris
Universitas Padjadjaran, Journal of Food, Agriculture & Environment Vol.16 (1): 49-53. 2018, WFL Publisher Science and Technology, www.world-food.net
Calibration, prediction, root mean square errors of calibration, sapodilla.
Fruit quality detection using near-infrared spectroscopy is a fast, accurate, and non-destructive method. Hence the fruits can still be marketed after the measurement. The purpose of this study was to analyze the quality of sapodilla fruit using near-infrared spectroscopy. The study was conducted in March to August 2017 at the Plant Production Technology Laboratory of Horticulture Division, Agriculture Faculty of Padjadjaran University, Jatinangor. The method used in this study was multivariate data analysis of chemometrics. The spectra data were obtained using portable nearinfrared spectrometer (NirVana AG410, Integrated Spectronics Pty, Ltd, Australia) with wavelength range of 312-1050 nm. Calibration and prediction models were acquired using partial least square (PLS). The results revealed that non-destructive method using near-infrared spectrometer was able to measure sapodilla fruit quality such as, firmness, total dissolved solids, and color values including L*, a*, b*, ho, and C*.