Journal of Electronics Technology Exploration

Strategic Evolution Of Digital Transformation And Information Technology Governance: A Systematic Literature Review

Zulistia Salsabila, Hamdani — Tue, 09 Jun 2026 00:00:00 +0000

Digital transformation and information technology (IT) strategy have become critical pillars of contemporary organizational management. This article presents a systematic literature review of 80 articles published between 2020 and 2025 in reputable international journals indexed in Scopus and/or Web of Science. The review examines digital transformation and IT strategy within business and organizational management using the PRISMA protocol and a structured thematic synthesis approach. The analysis covers digital transformation strategy, IT governance and strategic alignment, cloud computing and IT infrastructure, big data analytics and business intelligence, artificial intelligence, digital leadership and change management, cybersecurity, e-business and digital innovation, and enterprise resource planning and system integration. A systematic coding process was used to extract and synthesize bibliographic information, research methods, organizational contexts, key constructs, and major findings. The review shows that digital transformation is a multidimensional process of organizational change that extends beyond technology adoption and depends on the interaction of strategy, leadership, culture, governance, and the broader business ecosystem. It also highlights research gaps concerning developing-country contexts, integration across research themes, and sustainability. These findings provide an integrated overview of the field and inform a future research agenda for scholars and practitioners.

Classification of Pancreatic Cancer Diagnosis with CatBoost Using Urine Biomarker Combination

Sun, 01 Mar 2026 00:00:00 +0000

Uncontrolled cell growth in the pancreatic gland, is one of the most aggressive types of cancer with a high mortality rate, called pancreatic cancer. This research focuses on improving early diagnosis methods for pancreatic cancer by using CatBoost. Urine biomarker datasets were collected and subjected to pre-processing, including label coding, standardized scaling, and balancing via the Synthetic Minority Oversampling Technique (SMOTE). The CatBoost model achieved an accuracy of 98.89%, specificity of 99.35%, sensitivity of 98.71%, and Area Under the Curve (AUC) of 0.9951. These results show that the CatBoost model significantly outperforms the diagnosis models in previous studies, overcoming the challenges of early detection and classification of pancreatic cancer. This study shows that CatBoost is effective for diagnosing pancreatic cancer and suggests that future research explore other models on larger and more diverse datasets.

Novelty Half-Bridge LLC Resonant Converter with Magnetizing Inductance and Hybrid Rectifier

Sat, 06 Jun 2026 00:00:00 +0000

Half-Bridge LLC Resonant converters are widely used in high-power supply applications due to their high efficiency and ability to operate at high frequencies. However, under hold-up conditions or during large fluctuations in input voltage, conventional topologies often experience reduced output stability and increased losses. Therefore, a method that can maintain efficiency and output voltage stability without excessively broadening the switching frequency range is required. To address this, this study proposes a Novelty Half-Bridge LLC Resonant Converter with Magnetizing Inductor and Hybrid Rectifier (NHB-LLCRC-MIHR), incorporating a magnetizing inductor (Lm) in the primary path and a MOSFET-based hybrid rectifier on the secondary side. The research methodology was conducted using MATLAB/Simulink simulation, focusing on five main areas, including optimal switching frequency conditions, operating thresholds, DC conversion ratio (Vo/Vs), comparison of output voltage with conventional topologies, and analysis of output voltage ripple. Simulation results demonstrate that NHB-LLCRC-MIHR can maintain a more stable output voltage, lower ripple, and increase efficiency compared to conventional converters. Thus, this topology shows significant potential for industrial applications that demand high efficiency and optimal power stability.