Intelligent System Determines The Nutritional Needs Of Pregnant and Nursing Mothers Using Forward Chaining and Certainty Factor

Authors : Muhammad Amin, Muhammad Syahputra Novelan, Chairul Rizal

Volume/Issue : Volume 5 - 2020, Issue 4 - April

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The intelligent system in this research is an intelligent system that provides information on composition of nutritional needs of pregnant and nursing mothers. The system provides consulting facilities to assist users in analyzing the need for composition of nutritional values needed. This identification process is carried out through the FAQ interaction between the system and the user. The method used is a rule-based method with Fordward chaining method (future Penulusuran) and a method of certainty factor that provides a level of confidence from the results of the consultation conducted, with an easy design and in accordance with the existing rules. Then the program is expected to represent an expert in analyzing the needs of nutritional composition needed by pregnant and nursing mothers. Database utilization to store knowledge base from the expert system will make it easier to create additional knowledge facilities. With the addition of knowledge, the change of rules on the Knowledge base and system development through the acquisition of new knowledge can make it easier to update the system.

Keywords : Intelligent System, Nutritional Composition, Fordward Chaining Method, Certainty Factor, Database


Paper Submission Last Date
30 - April - 2024

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