Faif Yusuf
University of Bina Sarana Informatika, Jakarta, Indonesia, 10450

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Implementation of Expert System Applications using Forward Chaining to Detect Dental Health Zahra Zahra; Melyani Melyani; Faif Yusuf; Metty Titin Herawati; Suci Royanti; Athiy Dina Rosihana
Journal of Management and Informatics Vol. 4 No. 3 (2025): December Season | JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v4i3.212

Abstract

Dental diseases remain one of the most common health issues globally, often resulting from a lack of early detection and limited access to dental specialists. This research presents the implementation of an expert system that uses forward chaining to diagnose dental health conditions based on user-reported symptoms. The system integrates a knowledge base modeled from expert consultation with dentists, consisting of symptom sets and rule-based logic. Findings indicate that the Forward Chaining approach is effective for step-by-step rule evaluation and generates accurate diagnoses of diseases such as caries, gingivitis, periodontitis, halitosis, and pulpitis. The study demonstrates that expert systems can support preliminary dental screening and improve public awareness of dental health.
An Assistive Technology Framework for SDGs-Based Educational Games for Elementary School Children with Physical Disabilities Muhammad Perwiranegara; Melyani Handoko; Miranti Handayani; Windu Tiastuti; Faif Yusuf; Suci Riyanti
Journal of Management and Informatics Vol. 5 No. 2 (2026): August Season | JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v5i2.357

Abstract

The Sustainable Development Goals (SDGs) emphasize inclusive and equitable quality education for all learners. However, children with physical disabilities frequently encounter barriers when accessing digital educational resources, particularly educational games that lack accessibility features. This study proposes a Framework of Assistive Tools integrated into SDGs-based educational games to improve learning accessibility and achievement among elementary school children with physical disabilities. The framework consists of four interconnected layers: SDGs Layer, Educational Game Layer, Accessibility Layer, and Assistive Tools Layer. A quasi-experimental approach involving 30 elementary school students with physical disabilities was employed to evaluate the framework. Learning achievement, accessibility, engagement, and usability were assessed through pre-test and post-test evaluations. Simulated results indicate a significant increase in learning achievement from 63.4 to 77.5, representing a 22.2% improvement. Structural Equation Modeling using Partial Least Squares (PLS-SEM) demonstrated positive relationships among assistive tools, accessibility, educational game effectiveness, and learning achievement. The findings suggest that integrating assistive technologies into educational games contributes significantly to SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). The proposed framework can serve as a guideline for future development of inclusive educational technologies.