Composite flour ratio Tengger potato starch and flour made with the aim of Moringa leaves as a substitute for wheat flour containing gluten and casein to be used as raw material products GFCF (Gluten Free Casein Free). The experimental design use completely randomized design consisted of four treatments (ratio of Tengger's potato starch and moringa leaf powder 100%: 0%, 96%: 4%, 95%: 5% and 94%: 6%) and three replications; and then analyzed to determine the proximate contents (water, ash, protein, fat, crude fiber, carbohydrates) and physical properties (color, water absorption, temperature gelatinization starch). Data were statistically tested using ANOVA and Duncan's Multiple Range Test (DMRT). Results showed that the ratio of composite flour and potato starch flour Moringa leaves Tengger significantly different with the content of the proximate and physical properties. The best composite flour which is approaching the characteristics of wheat flour is composite flour with a ratio of potato starch Tengger and flour of Moringa leaves 94%: 6% moisture content 9.940 g / 100g, ash content of 2.045 g / 100g, protein content of 3.090 g / 100 g, levels 0.286 g fat / 100 g, crude fiber content of 0.597 g / 100 g, carbohydrate levels 84.638 g / 100 g, and the physical properties include brightness level of 82.79, the value of 1.56 greenish, yellowish 59.66 value, water absorption 129.861 %, and the starch gelatinization temperature 62,5oC. Composite flour potato starch ratio Tengger and moringa leaf powder can be used in products that do not require high development namely pastry products such as cookies and snacks.

Koolinera is a web-based e-learning application about learning to cook Indonesian culinary dishes. Users are free to choose cooking classes. Culinary in Indonesia is very diverse, so many users feel confused in choosing a cooking class. No specific guidance is given to users on tips for choosing a cooking class. Therefore, it is important to develop a feature that can help users to guide the selection of cooking classes, namely by building a cooking class selection recommendation system. Class recommendations are obtained based on the last class taken by the user. The criteria used to determine the recommendations are the similarity of class names, dominant taste of cuisine, category of cuisine, area of origin, and tutor. The algorithm used is Content-Based Filtering with TF-IDF calculations. The recommendations given to users are a list of six cooking classes. Testing is carried out based on black box testing, expert validation, and user testing. The blackbox test carried out states that all functions are running well. The validity test of the media by the validator got a percentage of 96.52%. User testing in the Usability Tetsing Experience section got a percentage of 85.73%, User Acceptance Testing got a percentage of 83.89% and testing the relevance of the recommendation system got a percentage of 88.69%

Saccharin is a powerfully sweet nonnutritive sweetener that has been approved for food-processing applications within the range of 100–1200 mg/kg. A simple, rapid, and cost-effective sequential injection analysis (SIA) technique was developed to determine the saccharin level. This method is based on the reaction of saccharin with p-chloranil in an ethanol medium with a hydrogen peroxide (H2O2) acceleration, and the resultant violet-red compound was detected using a UV-Vis spectrophotometer at λmax = 420 nm. To ascertain the optimal conditions for the SIA system, several parameters were investigated, including buffer flow rate and volume, p-chloranil concentration, and reactant volumes (saccharin, p-chloranil, and H2O2). The optimum setup of the SIA system was achieved with a buffer flow rate, buffer volume, and draw-up time of 1.2 mL/min, 2900 µL, and ~145 s, respectively. The optimal p-chloranil concentration is 30 mM, and the best reactant volumes, presented in an ordered sequence, are as follows: 30 µL of H2O2, 450 µL of saccharin, and 150 µL of p-chloranil. The optimized SIA configuration produced a good linear calibration curve with a correlation coefficient (R2 = 0.9812) in the concentration range of 20–140 mg/L and with a detection limit of 19.69 mg/L. Analytical applications in different food categories also showed acceptable recovery values in the range of 93.1–111.5%. This simple and rapid SIA system offers great feasibility for the saccharin quality control in food-product processing.

Herbal tea is a functional beverage made from herbal ingredient steeping which be dried besides tea leaves.Breadfruit leaves is a herbal ingredient that can be utilized to herbal tea product. Breadfruit herbal tea is a functional beverage made from the steeping of dried breadfruit leaves that contains high antioxidant value. The addition of cinnamon and clove that contribute to give natural red colour source and typical aroma could improve the colour and aroma of breadfruit leaves herbal tea. Besides to utilize the antioxidant value, breadfruit leaves herbal tea also helpful to upgrade the usability of breadfruit leaves into herbal tea product. This research aims to know the antioxidant content (gallic acid, kaempferol and quercetin) and organoleptic properties which consist hedonic quality test (taste) and hedonic test (taste, aroma and colour) from 0,5%, 1% and 1,5% of breadfruit leaves herbal tea with the lowest hedonic score is 1 and the highest is 5. This research is including experiment research using Completely Random Design (CRD) with three kinds of treatment. The analyzed data using One Way ANOVA, if the treatments shows difference significant, then the analyzed data should be proceed by Duncan's Multiple Range Test with 5% confidence interval. The highest value of gallic acid antioxidant contect leads in 1,5% breadfruit leaves herbal tea about 89,60818 μg/g. The highest value of kaempferol antioxidant contect leads in 1,5% breadfruit leaves herbal tea about 23,810 μg/g. The highest value of quersetin antioxidant contect leads in 1,5% breadfruit leaves herbal tea about 34,382 μg/g. The highest score of flavor hedonic is 3,89, the highest score of aroma hedonic is 3,7, and the highest score of colour hedonic is 3,8. The highest score of flavor hedonic quality is 4,2 with a bit bitter taste criteria.

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