Web-based Software Development for Complementary Feeding Recommendation System (EasyMPASI) Using Rule-Based Reasoning

Salsabila, Aulia and Heryawan, Lukman and Amalia, Elva and Siagian, Deliyana and Ongan, Romanus Hadyanto (2024) Web-based Software Development for Complementary Feeding Recommendation System (EasyMPASI) Using Rule-Based Reasoning. In: 11th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2024, 9 October 2024through 10 October 2024, Hybrid, Bandung.

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Abstract

Babies aged 0-24 months are in a period of very rapid growth and development so they are often referred to as the golden age and critical period so that food and drink are the key to the growth and development process. Fulfilling the right nutritional needs in babies can prevent stunting where Indonesia is ranked fourth in Asia with the most cases. Stunting is a disease caused by a lack of protein and is characterized by a child's height that is below standard. One way to prevent stunting is by providing complementary foods (MP-ASI). Parental knowledge of the right MP-ASI nutritional needs can reduce the risk of stunting in babies. A website-based service system that accommodates MP-ASI information is designed so that it can be easily accessed by parents. The MP-ASI recommendation method is built using the Rule-Based Reasoning method, namely by calculating the number of daily calorie needs from the amount or frequency of MP-ASI given in a day. Through this website-based application, parents can easily obtain information about the right MP-ASI for babies.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: baby; MP-ASI; nutrition; rule-based reasoning; stunting; website
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Ismu WIDARTO
Date Deposited: 24 Jun 2025 07:47
Last Modified: 24 Jun 2025 07:47
URI: https://ir.lib.ugm.ac.id/id/eprint/19100

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