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Jurnal Teknologi Informasi dan Pendidikan
Published by Universitas Negeri Padang
ISSN : 20864981     EISSN : 26206390     DOI : https://doi.org/10.24036/jtip
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Engineering
Jurnal Teknologi Informasi dan Pendidikan (JTIP) is a scientific journal managed by Universitas Negeri Padang and in collaboration with APTEKINDO, born from 2008. JTIP publishes scientific research articles that discuss all fields of computer science and all related to computers. JTIP is published twice a year. The editorial board comes from the lecturer board in the Department of Electronics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 371 Documents
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Comparative Study of AI-Based and Direct Instruction on Grinding Machining Learning Outcomes at SMK Turen Fajar Dwi Kurnia Wijaya; Tuwoso Tuwoso
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1149

Abstract

This study aimed to determine the effectiveness of Artificial Intelligence (AI)-based learning media on student learning outcomes in the subject of Grinding Machining Engineering at vocational high school level. The research employed a quantitative approach using a pre-experimental design with the One Group Pretest–Posttest Design model. The subjects of this study were 25 students of class X in the Welding Engineering program at SMK Turen. Data collection was conducted using objective multiple-choice tests consisting of 20 items that had passed validity and reliability testing with a Cronbach’s Alpha value of 0.745. Data analysis techniques included descriptive statistics, normality test, homogeneity test, Independent Sample T-Test, and N-Gain analysis using IBM SPSS Statistics version 26. The results showed that the average posttest score in the AI-based learning group was higher than the pretest score. The Independent Sample T-Test showed a significance value of <0.001, indicating a significant difference between AI-based learning and Direct Instruction methods. Furthermore, the N-Gain analysis showed that the AI-based learning group obtained a higher average score (0.615) compared to the Direct Instruction group (0.453), both categorized as moderate improvement. Therefore, AI-based learning media was proven to be more effective in improving student learning outcomes in Grinding Machining Engineering subjects because it provides a more interactive, adaptive, and flexible learning experience.

Page 38 of 38 | Total Record : 371

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