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Menampilkan 1–2 dari 2 artikel
Comparative Analysis of Multiple Linear Regression and Random Forest in Predicting Student Academic Performance
Digital Business Intelligence Journal
Vol 2
, No 1
(2026)
This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using...
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Google Scholar
DOI
Building Digital Trust: The Role of Cybersecurity in the Sustainability of E-Business - A Systematic Literature Review
Digital Business Intelligence Journal
Vol 1
, No 2
(2025)
This research explores the crucial role of cybersecurity in building and maintaining digital trust for e-business sustainability. The rapid digitalization era has increased business dependence on digital platforms but also brought cyber risks that can threaten customer trust and operational sustainability. This systematic literature review analyzes recent research (2021–2025) from various academic databases including Google Scholar, IEEE Xplore, ScienceDirect, Scopus, and ACM Digital Library. Th...
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Google Scholar
DOI