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Menampilkan 1–2 dari 2 artikel
A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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Development of E-Learning Technology in Designing and Making E-book-Based Learning Modules in Audio Video Engineering Subjects to Increase Student Learning Creativity
Journal of Global Hospitality and Tourism Technology
Vol 1
, No 1
(2026)
E-book learning media is very necessary at this time because it has the advantage of being more interactive and efficient, it can also create teaching and learning activities that are more effective compared to printed books. With problems with the learning system implemented at SMK Negeri Kartoharjo, they still use package books, making students feel bored. The purpose of this study (1) to find out how to design e-book-based learning modules in TAV subjects to increase student creativity, (2) t...
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