The goal was to improve Saka Saka's sensory quality. The study analyzed Saka Saka samples by pre-treating cassava leaves, mixing ingredients, and optimizing color, odor, and taste. The data was analyzed using Minitab 17.3.1 software, with replicates varying. The sensory evaluation of saka saka samples showed acceptable characteristics, with scores ranging from 5 to 8. The most appreciated characteristic was color, followed by odor and taste. Garlic had a greater influence on color and taste. The study found that sugar and Maggi broth components did not significantly influence smell or taste at tested doses. The optimal saka saka sample had scores ranging from 5 to 9, with the most appreciated quality characteristic being taste. The product contained 7.69% protein, 0.34% calcium, 0.09% magnesium, 0.013% iron, and 0.12% phosphorus, confirming its nutritional importance. Key words: Cassava Leaves, Sensorial, Evaluation, Optimization.

Keywords: Cassava Leaves, Sensorial, Evaluation, Optimization.