Journal of Technology and Humanities

Opportunities and Challenges in the Transformation and Development of Traditional Newspaper Groups in the Context of Media Convergence: A Systematic Literature Review

Li Qi — 2025-02-14

In the era of media convergence, traditional newspaper groups are undergoing profound transformations driven by digitalization and changes in audience behavior. This systematic literature review examines the opportunities and challenges faced by traditional newspaper groups during their transition under the influence of media convergence. Key dimensions of analysis include content innovation, technological integration, organizational restructuring, and policy support. The findings indicate that while advancements such as content innovation, artificial intelligence, and big data provide significant opportunities to enhance audience engagement and operational efficiency, challenges persist in the form of resource constraints, organizational resistance to change, and the need for sustainable revenue streams. Moreover, government policies play a critical role in encouraging media organizations to adopt innovative strategies and develop multi-platform ecosystems. This review highlights gaps in cross-regional and quantitative studies, emphasizing the necessity of further research to assess the long-term impacts of digital transformation. By synthesizing existing literature, the study offers valuable insights and practical recommendations for traditional newspaper groups to navigate the complexities of the digital era and achieve sustainable growth. However, further research is needed to address the limitations identified in this review.

Digitalization of Education in Malaysia: Roles, Issues, Challenges, Recommendations, Ethics and Future Trends

Zaheril Zainudin — 2025-05-09

The digitalization of education has revolutionized learning, offering enhanced access, flexibility, and personalized experiences. However, this transformation presents significant challenges that need to be addressed for it to reach its full potential. This paper explores the key issues and challenges associated with the digitalization of education, including the digital divide, data security concerns, insufficient teacher training, and the infrastructure limitations in many regions. It highlights how unequal access to technology exacerbates educational disparities, making it difficult for marginalized students to benefit from digital learning opportunities. Additionally, the paper discusses the risks of data privacy breaches in the digital education ecosystem and stresses the need for stronger cybersecurity measures. To mitigate these challenges, the paper offers several recommendations, such as investing in equitable access to technology, providing comprehensive teacher training programs, and enhancing student engagement through interactive learning tools. Furthermore, it emphasizes the importance of collaboration among governments, educational institutions, and technology providers to create a robust and inclusive digital education infrastructure. Looking to the future, the paper examines emerging technologies like artificial intelligence (AI), virtual reality (VR), and blockchain, which have the potential to further reshape education. By addressing current challenges and embracing future innovations ethically, the digitalization of education can unlock new opportunities for students in Malaysia globally.

Enhancing Nutritional Predictive Models: Addressing Class Imbalance with Machine Learning

Liliana Swastina — 2025-06-30

Malnutrition remains a critical public health concern, particularly in low-resource settings where early detection is essential yet often constrained by limited infrastructure. While machine learning (ML) has emerged as a promising tool for nutritional risk prediction, many existing models fail to address class imbalance, resulting in biased outcomes and poor minority class detection. This study introduces an optimized ML framework that integrates imbalance-handling techniques—specifically SMOTE and Bagging—into the classification of stunting, wasting, and underweight among children in Banjarmasin, Indonesia. A curated dataset from 26 community health centers was used to train and evaluate five algorithms (Neural Network, Random Forest, Decision Tree, Logistic Regression, and XGBoost) across three treatment phases. Performance was assessed using 10-fold cross-validation and multi-method statistical validation, including ANOVA, Kruskal-Wallis, Dunn’s, and Friedman tests. XGBoost consistently outperformed other models, achieving the highest accuracy (90.7%) and F1 scores across all indicators. The integration of oversampling and ensemble methods yielded substantial improvements in minority class detection, with F1 score gains ranging from 1.15% to 419.42%. Spatial validation revealed regional disparities, underscoring the need for adaptive modeling strategies. These findings contribute to the development of scalable, equitable, and context-aware nutritional surveillance systems, offering actionable insights for targeted interventions and public health policy.

Students Awareness Level Towards Automotive Workshop Safety Procedures at Kolej Komuniti Sungai Siput

Anuar Shaari — 2025-09-13

Safety in automotive workshops is a critical aspect of practical-based learning environments, especially within Technical and Vocational Education and Training (TVET) institutions. This study aims to assess the level of students’ awareness of workshop safety procedures based on three key dimensions: knowledge, attitude, and practice. A descriptive quantitative survey design was employed involving 57 automotive program students at Kolej Komuniti Sungai Siput. The research instrument consisted of a five-point Likert-scale questionnaire designed to gather feedback on students’ awareness of safety practices in the workshop. Data were analysed using descriptive statistics with SPSS. The findings revealed a high level of overall safety awareness among students. Respondents demonstrated strong knowledge of basic safety procedures such as the use of fire extinguishers, safety warning symbols, and the location of emergency exits. Students also showed positive attitudes, including willingness to wear personal protective equipment (PPE), remind peers of safety compliance, and report incidents to instructors. In terms of practice, students generally adhered to safety measures, although minor weaknesses were identified in the aspect of returning tools to their original place after use. The study suggests the need for regular safety training, periodic policy reviews, and a holistic culture of safety to ensure an effective and safe workshop environment. The implications of this study are significant for enhancing safety strategies in TVET institutions towards producing skilled and safety-conscious graduates.