This study employed response surface methodology (RSM) to optimize alcalase-enzymatic hydrolysis conditions for the production of an angiotensin I-converting enzyme (ACE) inhibitory peptide from Shortfin scad (Decapterus Macrosoma) skin gelatin (SSGH). Using Central Composite Design (CCD) with four factors and three levels, a statistical modeling equation was developed to predict effects from the following variables:(i) temperature (40, 50, 60°C); pH (7, 8, 9);(ii) enzyme/substrate (E/S) concentration (1, 2, 3%); and (iii) hydrolysis time (60, 120, 180 min) with respect to yield, degree of hydrolysis (DH) and ACE-inhibitory activity. Optimum hydrolysis conditions obtained were 60°C, pH 9, 2.92% and 114.56 minutes. Experimental yield for SSGH was higher (90.05%) than the predicted value of 54.38%. The degree of SSGH hydrolysis (DH = 90.48%) was also higher than the RSM predicted value of 72.04%. Experimental SSGH ACE inhibitory activity (79.61%) was lower than predicted (89.19%).This study demonstrates the viability of using RSM to optimize conditions for the enzymatic hydrolysis of SSGH to yield gelatin with high ACE inhibitory peptide activity.