Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 16, 2025International Journal Software Engineering and Computer Science (IJSECS)

Expert System for Student Talent and Interest Using Certainty Factor and Dempster-Shafer Methods

View Full Paper
Ask AI
Bookmark
Share

Authors

TSTeddy SetiadyGWGentur Wahyu Nyipto WibowoRKR. Hadapiningradja Kusumodestoni

Discussion

Loading...

Member takes

Overview

The hybrid system combines certainty factor and dempster-shafer methods for precise aptitude evaluation in students, suggesting improved educational planning.

Key Points

  • The expert system enhances talent identification accuracy by generating measurable aptitude assessments.
  • Using certainty factor methods and dempster-shafer algorithms, the system processes student behavioral patterns effectively.
  • Preliminary testing indicates interest evaluations can reach 37%, demonstrating potential for tailored learning pathways.
  • The framework supports objective decision-making in educational institutions, optimizing resource allocation and reducing bias.

Cite This Study

Setiady et al. (2025) studied this question.

synapsesocial.com/papers/68d4506b31b076d99fa57725https://doi.org/10.35870/ijsecs.v5i2.5169
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Expert System for Early Childhood Talent Detection Using Certainty Factor and Dempster Shafer Algorithms2025
  2. 2Expert System for Learning Styles Diagnosis Using Dempster–Shafer and Bayesian Network2025
  3. 3Expert System for Stunting Diagnosis in Children Using Certainty Factor Method2024
  4. 4Comparative Analysis: Accuracy of Certainty Factor and Dempster Shafer Methods in Expert Systems for Tropical Disease Diagnosis2025
  5. 5Decision Support System For Student Activity Unit Selection Using Certainty Factor Method2024