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The aim of this research is to develop a Near Infrared (NIR) calibration model based on water content and total carotene that can be used as a standard of ripe fruit. There are three steps of the research. The first step is NIR spectral data aquisition of 60 samples by using NIRFlex N-500. Next step is measuring water content and total carotene from each sample using destructive method. The last step is development of NIR calibration model using (Partial Least Square) PLS and applying pretreatment data Standard Normal Variate (SNV), normalization (N01), dan First Derivative Savitzky-Golay 9 Point (DG1). The result show that water content could be predicted well by applying SNV with R2 (calibration) =0.89, R2 (validation) = 0.88 and RPD = 2.84. Total carotene also could be predicted well by applying DG1 with R2 (calibration) = 0.84, R2 (validation) = 0.77 and RPD = 2.06.