Implementation Sistem of The Bayesian Network Method In Web-Based E-Learning Application

Ali Kadhim Abdulabbas, Ferry Irawan, Salman Alfaris, Guillermo Morales-Romero, Salman Alfarisd

Abstract


Information technology and its utilization for education has become a necessity that can not be delayed further. Today, e-learning concept has widely accepted by community which is evident by the increasing implementation of e-learning, particularly in educational institutions. The purpose of this study is to develop web-based elearning application that utilize Bayesian Network method. The method is used to generate learning recomendation contained in student individual report. This study was conducted in SMUN 1 Pulau Laut Tengah Kabupaten Kartasura. Subject of study are students of class X and two chemistry teachers. System was modeled using Unified Modeling Language (UML). Database design created by Entity Relationship Diagram (ERD). Application design created by HIPO diagram and flowchart. The application written in a programming language PHP and use MySQL database. Result of this study showed that Bayesian Network method can be used to generate a learning recomendation. Students can view the suggested learning recomendation in their individual report. Teachers can also view the individual report of theis students who joined in elearning session. In conclusion, the Bayesian Network method successfully implemented in web-based e-learning application to generate learning recomendation based on learning material

difficulty level, student cognitive level, and student grade.


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