
Analysis of integration dietducate and automated meal planner for nutritional purposes
Author(s) -
Muhammad Iqbal,
M Rizal Permadi
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/672/1/012079
Subject(s) - planner , computer science , meal , feature (linguistics) , nonprobability sampling , artificial intelligence , medicine , environmental health , population , linguistics , philosophy , pathology
Dietducate is considered necessary to develop a meal planning feature in order to minimize Nutrition Care Process (NCP) manually since manual work may carry high risk of human error and it takes a long time so as causing malnutrition to patients. The purpose of this research was to develop and evaluate the feature of Automated Meal Planner (AMP) in Dietducate android app. This type of research is Research and Development with ADDIE model. After developing the app, a survey was conducted to respondents (nutritionists) who have used the AMP feature. Respondents were collected by means of purposive sampling technique, and then given questionnaires containing how much they agree with various aspects. Data analysis was done by descriptive statistics. Based on the need analysis, there were 14 functions needed in developing this AMP feature. In addition, AMP feature could be integrated with Dietducate app well and could help in meal planning function. The evaluation result of AMP product implementation showed that the majority of respondents took the AMP as a simple, practical app with well-arranged app structure, good display, and easy to use.