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All Journal Aptisi Transactions on Management Unnes Journal of Mathematics Education Research Journal of Computer Science and Technology Application
Budi Waluya, Stevanus
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Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Other

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The Mathematical Literacy of Vocational Students in Discovery Learning Using E-Worksheet Maya Kusuma, Sarli Bamoris; Budi Waluya, Stevanus; Masrukan, Masrukan
Unnes Journal of Mathematics Education Research Vol 10 No A (2021): January, 2021 (Special Edition)
Publisher : Universitas Negeri Semarang

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Abstract

The aim of this study was to find out the level of mathematics literacy skills of vocational students in discovery learning using e-worksheets. The research method used is a mix method with a research focus on the mathematical literacy skills of vocational high school students specifically in spatial abilities of geometric transformation material in discovery learning with e-worksheet assisted product assessment. The subjects of this study were students of XI class of Automation and Office Management of SMK Negeri 1 Demak. The qualitative data analysis was carried out by analyzing mathematical literacy skills in terms of students' spatial abilities. The quantitative data were tested by using the One Sample t-test, Paired Sample t-test, and Independent Sample t-test. The results showed that e-worksheet using discovery learning was able to develop students 'mathematical literacy abilities, gave positive responses to students. This study also found that students' spatial abilities would be relevant to their level of mathematical literacy skills.
Integrating Edupreneurship and Digital Transformation to Enhance Creative Thinking in Learning Design Handoko, Hendri; Budi Waluya, Stevanus; Sugiman; Wardono; Vaher, Kristina
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/z209am98

Abstract

The increasing urgency to address climate change has positioned Sustainable Development Goal 13 (Climate Action) as a priority for governments and businesses worldwide. Technological innovations such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain have emerged as transformative tools for reducing environmental impacts, improving energy efficiency, and promoting ethical and sustainable business practices. However, the extent to which these technologies contribute to climate action remains underexplored. This study aims to investigate the role of AI, IoT, and Blockchain in helping businesses achieve SDG 13 by optimizing resources, reducing waste, and enhancing supply chain transparency. A mixed-methods approach was adopted, combining qualitative and quantitative techniques. Semi-structured interviews were conducted with key stakeholders from businesses implementing these technologies, while a survey of 150 businesses was administered to capture broader adoption patterns. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The findings reveal that AI and IoT have significant positive effects on energy management and sustainability outcomes, while Blockchain plays a supportive role by improving transparency and ethical practices, though its adoption remains limited. The combined integration of these technologies yields the most substantial impact. This study concludes that businesses should adopt a holistic strategy to fully leverage technological innovations for advancing SDG 13 and combating climate change.
AI and Big Data in Advancing Mathematical Literacy Cybersecurity’s Moderating Role Sumliyah; Wardono; Mariani, Scolastika; Budi Waluya, Stevanus; Pujiastuti, Emi; Ikhsan, Ramiro Santiago
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.109

Abstract

In today’s rapidly evolving digital landscape, mathematical literacy has emerged as a crucial competency for students navigating data-intensive environments. The integration of Artificial Intelligence (AI) and Big Data in education holds transformative potential to enhance personalized learning and support data-driven teaching strategies, yet it also raises critical concerns around Cybersecurity, particularly in safeguarding student data and ensuring trust in digital platforms. This study aims to analyze the effects of AI and Big Data on mathematical literacy, while examining the moderating role of Cybersecurity. Using a quantitative research approach, data were collected through a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 3. The results indicate that both AI and Big Data have significant positive effects on students’ mathematical literacy, with Big Data exerting the strongest influence through its ability to provide deep insights into student performance. AI also contributes effectively by enabling real-time feedback, adaptive learning, and personalized instruction. Although Cybersecurity demonstrated a weaker direct effect on mathematical literacy, it remains an essential enabler of a secure digital learning environment, fostering user trust and system integrity. This research highlights the importance of aligning educational technology implementation with strong digital safeguards to maximize learning outcomes. The findings offer managerial implications for educational institutions to invest in intelligent learning platforms supported by robust cybersecurity protocols. Ultimately, the study reinforces the relevance of SDG 4: Quality Education, by promoting inclusive, safe, and tech-enhanced learning ecosystems suited for the demands of 21st-century education.  
Co-Authors Emi Pujiastuti Handoko, Hendri Ikhsan, Ramiro Santiago Masrukan Masrukan Maya Kusuma, Sarli Bamoris Scolastika Mariani Sugiman Sumliyah, Sumliyah Vaher, Kristina Wardono