Development of Expert System for Diagnosing the Unusual Behaviour of Multiple Categories of Eating Disorder Patiens in Gen Z Using Certainty Factor Method

Putri, Vindy Amelia (2024) Development of Expert System for Diagnosing the Unusual Behaviour of Multiple Categories of Eating Disorder Patiens in Gen Z Using Certainty Factor Method. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

The increasing prevalence of eating disorders among Generation Z necessitates advanced diagnostic tools to identify and address these issues effectively. This research focuses on the development of an expert system that leverages the Certainty Factor method to diagnose unusual behavior across multiple categories of eating disorders specifically within the Ge n Z demographic. The system aims to enhance early detection and provide accurate diagnoses by incorporating a wide range of symptoms and behavioral indicators. The Certainty Factor method allows for handling uncertainty and partial truths, making the system robust and reliable. Preliminary results indicate that the expert system significantly improves diagnostic accuracy compared to traditional methods, offering a valuable tool for healthcare providers in managing and treating eating disorders among young individuals.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorGumilang, Mukhamad AnggaNIDN0012089401
Uncontrolled Keywords: Expert system, Eating Disorder, Certainty Factor
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Vindy Amelia Putri
Date Deposited: 19 Jul 2024 03:57
Last Modified: 19 Jul 2024 03:58
URI: https://sipora.polije.ac.id/id/eprint/34080

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