Dina Fadhilah
Poltekkes Kemenkes Yogyakarta

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“Nutridi”: Modifikasi timbangan pangan digital sebagai alat pendukung pembelajaran gizi Dina Fadhilah; Diana Andriyani Pratamawati; Aprilia Alua
Health Educational Laboratory Vol. 1 No. 2
Publisher : Poltekkes Kemenkes Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29238/helab.v1i2.2166

Abstract

Misestimating portion sizes of food consumed will affect the quality of the estimate and result in inaccurate nutrient intake. Conventional digital food scales only measure body weight without listing nutritional values, thus limiting their usefulness in health education and promotion. This study aims to develop and test Nutridi, a modified digital food scale equipped with nutritional reference values, as a tool to support nutrition education. Research Methods This research is a quantitative study with a research and development (R&D) design at Poltekkes Kemenkes Yogyakarta between April and October 2022. The object of this study is the Nutridi digital scale, developed by integrating food composition data into the digital weighing system. Data processing using the Stata application began with a normality test using the Kolmogorov-Smirnov test and then a paired t-test. The results of weighing 62 food ingredients showed that the Nutridi digital scale was proven to be precise (CV 0%) and accurate equivalent to the Camry digital scale (mean difference ?1 g), The normality test on the distribution of differences between the Nutridi digital scale and the Camry digital scale (pooled, n = 186) with Kolmogorov–Smirnov showed deviations from the normal distribution (mean diff 0.0430 g; SD 0.2034 g; D = 0.5407; p <0.001), which was likely influenced by the large number of identical difference values ??(ties; e.g. 0 g or ±1 g) due to the limited resolution of the measuring instrument. However, the paired t-test per ingredient showed that for ingredients with measurement variations, there was no significant difference between the two scales (p>0.05), while for ingredients with all identical replicates between tools, the t-statistic was not calculated because the variance was zero which practically indicated that the results of both tools were exactly the same. In conclusion, the Nutridi digital scale has good precision and accuracy and is suitable for use as a learning tool in food weighing practicums at the Nutrition Department of the Ministry of Health's Polytechnic of Health, as well as for household use. Further research is needed to validate its accuracy, improve its usability, and expand its food database for broader applications.
Foody box sebagai tempat penyimpanan food model yang praktis dan efisien Dina Fadhilah; Ayu Triani; Almira Sitasari
Health Educational Laboratory Vol. 1 No. 1
Publisher : Poltekkes Kemenkes Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29238/helab.v1i1.2169

Abstract

Errors in estimating the size of the portion of food consumed will affect the quality of the estimate and result in inaccurate amounts of nutrients consumed by a person. One of the teaching aids in delivering nutrition education material is food ingredients or artificial food (food models). Visualization of balanced nutrition messages that display food models displaying food and drink offerings at each meal time needs to be socialized so that it becomes a guide for people's eating. The aim of this research is to create a food storage box model that is practical and efficient for use with a model of food contents arranged like a tumpeng/food pyramid. This research method is quantitative research with a research and development (R&D) design. This method was chosen to produce a particular product and test the effectiveness of the product starting with: 1). Background data collection, 2). Product manufacturing planning, 3). Make a product draft, 4). Initial trials, 5). Revision of product trials, 6) Product implementation tests, 7). Improvement final product refinement 8). Product socialization and implementation. Quantitative data on product feasibility is shown in the presentation of feasibility test results. Research Results: To determine the feasibility of using this box, the researcher asked the subject 5 questions: 1). 87.5% of subjects considered the shape/design of the box to be appropriate, 2). How to open the box 95.8% of subjects rated it as feasible, 3). How to close the box 95.8% of subjects rated it as feasible, 4). How to use the food in a box model. 95.8% of subjects rated it as feasible and 5). The usefulness of the box was rated as 100% feasible by the subjects. The conclusion of the research is that from the 5 questions asked by the researchers, the presentation of the suitability assessment of the box is >80%, so it can be concluded that this box is suitable for use as a media for learning and promoting nutrition.