SETYAWATI, DYAH (2024) Karakteristik Cookies Tepung Umbi Lokal (Kimpul, Uwi Putih, Ubi Jalar Kuning) dan Tepung Jewawut dengan Penambahan Kuning Telur. Undergraduate thesis, UPN "VETERAN" JAWA TIMUR.
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Abstract
Cookies are a snack made from wheat flour, which has a hard and crunchy texture. The use of wheat flour in cookies can lead to an increase in wheat flour imports, requiring other raw materials as substitutes, such as local tuber flour and barley flour. Using local tubers and millet seeds in cookies is an effort to diversify local food and increase economic value. This research aims to determine the effect of local tuber flour and barley flour with different concentrations of egg yolk on cookie characteristics. The experimental design used was a completely randomized design (CRD) with a factorial pattern involving two factors. The first factor is the proportion of local tuber flour (kimpul, white yam, yellow sweet potato) to barley flour (70:30), and the second factor is the concentration of egg yolk (10%, 12%, 14%). The data obtained were analyzed using analysis of variance (ANOVA). If there is a significant interaction, further testing with the Duncan Multiple Range Test (DMRT) will be conducted. The results of the research showed that the best treatment was found in the proportion of kimpul flour and barley flour (70:30) with the addition of an egg yolk concentration of 10%. This treatment produced cookies with a water content of 4.90%, ash content of 0.87%, protein content of 4.35%, fat content of 15.20%, starch content of 29.03%, amylose content of 14.27%, and a breaking strength of 9.3 N. Hedonic test results showed an overall average of 4.25 (like) for color, 3.90 (somewhat like) for taste, 3.95 (somewhat like) for aroma, 3.85 (somewhat like) for texture, and 4.15 (like) overall. Additionally, the cookies contained 3.24% dietary fiber, 8.67 mg/100g calcium, and 1.05 mg/100g iron.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > Q Science (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
| Depositing User: | Dyah Setyawati | ||||||||||||
| Date Deposited: | 03 Jun 2024 04:09 | ||||||||||||
| Last Modified: | 03 Jun 2024 04:09 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/23740 |
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