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All Journal International Journal of Evaluation and Research in Education (IJERE) Toplama International Journal of Information System and Innovation Management INOVTEK Polbeng - Seri Informatika Journal of Applied Computer and Information Technology
Hapini Awang
Universiti Utara Malaysia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Navigating Deceptive Realities: Public Perceptions and Cybersecurity Threats of Deepfake Technology Nur Anis Shafiqah Mazlan; Hapini Awang; Nur Suhaili Mansor; Mohamad Fadli Zolkipli; Bingxin Jin
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/fqwbw793

Abstract

The rapid advancement of deepfake technology presents a profound cybersecurity threat by seamlessly fabricating synthetic media, which severely erodes digital trust. This study aims to evaluate the community's awareness of deepfake threats and assess the necessity of multifaceted mitigation strategies. Employing a quantitative methodology, an online survey was conducted with 67 respondents, predominantly young adults, to measure their exposure, psychological vulnerability, and perspectives on cybersecurity countermeasures. The findings reveal that while the public is generally aware of deepfakes, 75 per cent struggle to visually differentiate manipulated content from authentic media. Consequently, the proliferation of deepfakes has diminished perceived societal trust in online information. Notably, there is a unanimous consensus among respondents demanding strict legal frameworks and comprehensive public education to combat this menace. The study concludes that relying exclusively on technical detection algorithms is insufficient. Instead, preserving information integrity requires a multidisciplinary approach combining robust technological defences, proactive policymaking, and widespread digital literacy trainings.
Artificial intelligence and business intelligence in small and medium enterprises: A bibliometric review of emerging research directions Nasrul Effendy Mat Nasir; Hapini Awang; Nur Suhaili Mansor; Azlini Awang
Journal of Applied Computer and Information Technology Vol. 1 No. 1 (2026): Journal of Applied Computer and Information Technology (JACoIT)
Publisher : Global Research Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67131/jacoit.v1i1.4

Abstract

Artificial Intelligence (AI) and Business Intelligence (BI) are advancing decision-making and strategic management in Small and Medium Enterprises, thereby improving competitiveness and digital sustainability. While there is a plethora of research on the application of AI and BI in SMEs, the literature is scattered. It varies in its understanding, frameworks, and methodologies, making it challenging to integrate the available knowledge. Prior reviews lack depth and focus, providing little to no commentary on publication patterns, foundational ideas, and prospective research paths. This work attempts to fill this research gap with a bibliometric analysis of AI and BI in SMEs, based on a sample of publications from Web of Science and Scopus from the period of 2015 to 2025. This analysis aims to address significant gaps in the literature by measuring publication volumes across countries and by authors worldwide, using digital maps, collaboration networks, co-occurring keywords, and co-citation and thematic mapping techniques to monitor the research productivity and intellectual geography of the discipline. The results obtained demonstrate the presence of several significant and nascent research areas, improving our understanding of the essential technological, scientific and strategic research advancements in these fields. This review draws on relevant theory and policy concerning the UN Sustainable Development Goals (SDGs 2030), especially SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation and Infrastructure), which strengthen the value and relevance of this bibliometric analysis in shaping the adoption and sustainability of AI–BI within the context of SMEs.
Co-Authors Abdulrazak F. Shahatha Al-Mashhadani Adi Permana Sidik Adnan Mohamed Yusof Aizuddin Md Rami Alawiyah Abd Wahab Aliff Nawi Azlini Awang Bingxin Jin Dayang Rafidah Syariff M. Fuad Elgamar Syam Farah Muhamad Zain Harianja Harianja Huda Ibrahim Kalipakiam Subramaniam Liu Yonggang Marini Kasim Mat Rahimi Yusof Mazzlida Mat Deli Mohamad Fadli Zolkipli Mohd Fairuz Jaafar Mohd Fairuz Jafar Mohd Faiz Mohd Yaakob Mohd Nur Adzam Rasdi Mohd Yusri Ibrahim Mohd Zaini Zakaria Muhammad Noor Abdul Aziz Nasrul Effendy Mat Nasir Nur Anis Shafiqah Mazlan Nur Suhaili Mansor Nusairah Ramli Pang Lai Chaw QIN QIN Ramlan Mustapha Ramlan Mustapha