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All Journal Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik
Luthon Adira
Institut Bisnis dan Keuangan Nitro
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering Transportation

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Bayesian Intelligent Tutoring System for Vocational High Schools Muhammad Ikhwan Burhan; Arsan Kumala Jaya; Luthon Adira
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 9 NUMBER 1 MARCH 2024
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/pt_jiit.v9i1.2415

Abstract

The absence of individualized tutorials during regular school hours has resulted in a suboptimal learning method at Vocational High Schools(SMK), limiting students' ability to reach their optimum competency. Several Computerized self-study systems have been created as potential solutions to these challenges. Regrettably, a notable drawback of the system lies in its failure to address students' diverse range of abilities adequately. This study presents a proposed model for an Intelligent Tutoring System (ITS) utilizing the Bayesian Network (BN) at Vocational High Schools. The model aims to assess students' proficiency levels and deliver skill-based instructional materials tailored to individual students' abilities. This type of research is called research and development (RD), to develop and know the validity of a product. The system under development will undergo trials within the Computer and Network Engineering (TKJ) program at SMK Negeri 4 Gowa. These trials will employ a quasi-experimental approach, explicitly utilizing a one-group pretest-posttest design.The findings indicated that there were notable disparities in the learning outcomes of students following the implementation of the proposed ITS. To put it otherwise, the proposed ITS has improved students' proficiency in Vocational High Schools. The evaluation outcomes suggest that the BN model had a significant level of accuracy, reaching 84%.
Co-Authors Arsan Kumala Jaya Muhammad Ikhwan Burhan