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Adaptive and User-Centered HCI for Intelligent Technologies: A Global Perspective Abdurrohman
Digitus : Journal of Computer Science Applications Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i4.854

Abstract

Human-Computer Interaction (HCI) within intelligent systems plays a critical role in shaping user experience, particularly through effective design, usability, and accessibility. This narrative review aims to synthesize current research trends and challenges in designing inclusive and adaptive HCI environments. Literature was gathered from Scopus and Google Scholar using keywords such as "Human-Computer Interaction," "Intelligent Systems," "Usability," "Accessibility," and "User-Centered Design." Articles were selected based on inclusion criteria focusing on recent, peer-reviewed studies that explore empirical, review, and case-based methodologies. The results highlight that effective user interface design is rooted in multimodal, emotionally aware, and cognitively efficient interactions. AI-enhanced features and adaptive layouts contribute to a more intuitive experience, particularly in healthcare and smart vehicle environments. Usability assessments, including the System Usability Scale and A/B testing, further validate user engagement and system effectiveness. Accessibility remains a crucial yet underrepresented theme, with a significant disparity in inclusive design for vulnerable populations. Notably, best practices from countries with strong accessibility policies underscore the importance of integrating users with disabilities into the design process. The discussion points to systemic factors—such as regulatory frameworks, digital literacy, and funding priorities—as both barriers and enablers of progress. To bridge existing gaps, the study recommends further longitudinal, cross-cultural, and inclusive research. Strengthening digital education and accessibility policies is key to enhancing user-centered innovation in intelligent systems.
Hybrid Deep Learning Models for Intrusion Detection in Cloud Networks: A Benchmark-Based Comparative Study Abdurrohman; Arainy, Corizon Sinar
Digitus : Journal of Computer Science Applications Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i1.1116

Abstract

The increasing complexity of cyber threats targeting cloud infrastructures demands advanced and adaptive intrusion detection systems (IDS). This study explores the application of deep learning (DL) models—Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and a hybrid CNN+BiLSTM architecture—for detecting network intrusions using benchmark datasets CIC-IDS2017 and UNSW-NB15. This study contributes by demonstrating how hybrid CNN+BiLSTM architectures enhance intrusion detection accuracy on benchmark datasets, offering low latency and improved recall for rare attack classes, thereby validating their suitability for real-time cloud security deployment. Results show that hybrid CNN+BiLSTM models outperform standalone CNN and LSTM architectures in detection performance, achieving accuracies up to 97.4% on CIC-IDS2017 and 96.85% on UNSW-NB15, while maintaining acceptable latency for real-time deployment. The hybrid model also demonstrates superior F1-scores for rare attack classes and lower false positive rates. The discussion highlights the importance of dataset quality, feature engineering, and the role of adversarial training and model optimization in enhancing robustness. In conclusion, this work affirms the value of hybrid DL architectures for cloud-based IDS and suggests future directions in federated learning, adaptive retraining, and deployment in edge environments.
Digital Leadership Agility as a Strategic Lever for Organizational Resilience in Multinational Corporations Hermansyah, Heri; Zakaria, Ricky Muhamad; Abdurrohman
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i2.847

Abstract

The accelerating pace of digital transformation, globalization, and technological disruption underscores the importance of Digital Leadership Agility (DLA) in multinational corporations (MNCs). This study examines the influence of DLA on Organizational Resilience (OR) through strategic alignment and dynamic capabilities, while also considering the moderating roles of national digital competitiveness and organizational stagility.  A cross-sectional survey covering business units from multiple industries in the Asia-Pacific, European Union, and North America was conducted. Using validated measurement scales, the study applied Structural Equation Modeling (SEM) and Hierarchical Linear Modeling (HLM) to test mediation, moderation, and cross-cultural comparability. The results show that DLA significantly enhances OR through strategic alignment and dynamic capabilities, with stronger effects in high-technology industries. National digital competitiveness and organizational stagility further strengthen these relationships, indicating threshold effects of infrastructure and capability. The findings also highlight the relevance of organizational culture and resources, and emphasize the need to balance agility and stability. Practical implications include decentralizing decision making, fostering cross-functional collaboration, and tailoring leadership training to industry and cultural contexts. Overall, DLA emerges as a critical driver of OR by integrating digital transformation with adaptive leadership practices. Organizations should embed DLA in leadership development and design structures that balance responsiveness with cohesion. For policymakers, especially in digitally emerging economies, investing in leadership capacity, innovation ecosystems, and infrastructure is essential to enhance competitiveness and ensure sustainable growth.
PELATIHAN BACA KITAB KUNING DI DESA GEDANG PORONG SIDOARJO Abdurrohman; Najibur Rohman; Nurul Lizam
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 1 No 05 (2023): OKTOBER 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengetahuan pengurusan jenazah ini untuk bisa mengatasi kurangnya pengetahun mereka. Tujuan Pelatihan Pengurusan Jenazah ini adalah untuk membekali masyarakat khususnya para remaja agar dapat mengetahui dan memahami pokok-pokok hukum Islam secara terperinci dan menyeluruh, khususnya pengurusan jenazah yang tidak akan bisa mereka hindari dalam kehidupannya sehingga mampu melaksanakan dan mengamalkan ketentuan hukum Islam dengan benar. Kegiatan pengabdian ini memiliki relevansi dengan kebutuhan primer masyarakat dalam beribadah ghairu mahdhoh (ibadah yang melalui perantara sesam amanusia). Karena pada hakikatnya, sebagai seorang muslim, tentunya harus mengetahui bagaimana tata cara pengurusan jenazah yang benar dan baik sesuai tuntunan Rasulullah SAW. Seperti yang kita ketahui, pengurusan jenazah merupakan salah satu poin penting dalam menjalani kehidupan bermasyarakat. Untuk itu, melalui program ini, kami mengajak para remaja santri di desa Katol Timur Kecamatan Kokop Kabupaten Bangkalan bisa memahami betul tata cara pengurusan jenazah mulai dari awal setelah kematiannya hingga akhir setelah selesai dikuburkan. Kemudian usai diberi pemahaman mengenai pengurusan jenazah dan diberi contoh praktek, para pesertra diminta untuk mempraktekkan secara langsung satu persatu sambil didampingi untuk memastikan praktek mereka apaka sudah benar sesuai yang diajarkan.