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All Journal Jurnal Ilmiah Manajemen dan Bisnis Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Enayat, Wahidullah
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Enhancing Customer Awareness of Cybersecurity Threats in E-Banking: A Study on the Role of AI-based Risk Communication Tools Hakimi, Musawer; Kohistani, Ahmad Jamy; Sahnosh, Faqeed Ahmad; Samadzai, Abdul Wahid; Enayat, Wahidullah
Jurnal Ilmiah Manajemen & Bisnis Vol 10 No 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jimb.v10i1.6762

Abstract

With online banking on the rise, cybersecurity issues still occupy users' and financial institutions' minds. This study examines users' awareness of cybersecurity threats and their trust in artificial intelligence (AI) technology for fraud detection and risk communication in e-banking. A mixed-method design of quantitative survey of 384 users and qualitative interview of 20 participants was used to reflect broader insights. The survey quantified demographics, awareness of security protocols, and confidence in AI technology. Findings show that while users are very well aware of what to anticipate from repeated online threats and are careful with login passwords, they always fail to take the initiative concerning security practices like the changing of passwords. Overall, participants were confident in the application of AI systems, especially the efficiency and pace at which AI identifies fraud versus human agents. Skepticism was found for the effectiveness of chatbots based on AI. Statistical modeling showed that trust in AI strongly correlated with prior experience in cybersecurity, high rates of technology usage, and knowledge of online banking, with education level and age making little impact. The qualitative information further underscored the importance of personalized and clear communication from AI systems, suggesting that the way such machines talk to individuals can make or break trust. The study concludes by suggesting that user education at financial institutions should be enhanced, as well as developing AI systems with a method that employs personal communication approaches. The integration of human support with AI can potentially plug awareness gaps and improve security results across different user segments within the e-banking environment.
Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring Hakimi, Musawer; Suranata, I Wayan Aditya; Ezam, Zakirullah; Samadzai, Abdul Wahid; Enayat, Wahidullah; Quraishi, Tamanna; Fazil, Abdul Wajid
Jurnal Ilmiah Telsinas Vol 8 No 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i1.6242

Abstract

Generative AI for IoT Hydroponics Monitoring System for Smallholder Farmers in Developing Regions This is in an effort to support AI-based narrative feedback for real-time decision-making with reference to sensor data (TDS/EC, temperature) and plant context-the pertinent data are species and age. The system, therefore, consists of an ESP32 sensor device; a Flutter mobile application; and the cloud services being offered via Thingsboard and the Gemini API. A systematic approach was undertaken, including design, implementation, integration, and usability testing. The results show effective real-time data collection and secure communication, with accurate AI feedback validated by expert judgment. The results exhibited how AI and IoT could collude in aiding smart agriculture. Future work will concentrate on enhancing the accuracy of the model based on ground truth data and improving the accessibility of the platform.
Artificial Intelligence in Educational Leadership: Strategic, Analytical, Interactive, and Decision-Making Applications for the Digital Age Sirat, Abdul Wali; Hakimi, Musawer; Himmat, Bilal; Enayat, Wahidullah
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.7044

Abstract

AI (artificial intelligence) is becoming an increasingly important factor in educational leadership by sharpening organizational strategy, analytical decision-making, interaction, and creativity. This article aims to systematically review AI applications in educational leadership contexts that can help both leaders and followers identify significant opportunities, challenges, or outcomes as part of effective leadership practice in a digital age. A qualitative systematic literature review was conducted using several credible databases (IEEE Xplore, Science Direct, MDPI, Wiley Online Library, Web of Science) and included work published from 2018 to 2025. A search strategy was developed to include specific keywords pertaining to AI and educational leadership along with peer-reviewed and English language studies. After applying stringent inclusion and exclusion criteria during the review, 35 studies were selected and analyzed in depth. The analysis points to the possibilities of AI to boost strategic planning, efficiency in resource allocation, predictive decision making, performance monitoring and evidence-based supportive approaches to personalized learning. AI opens up intentions and engagements between leaders, educators, and learners, and serves as an evidence-based resource for leader innovation in practice. The review and commentary also highlight key issues for research and practice, namely the ethical implementation of AI in education, methodological rigor, and transparency in reporting effects, and the critical role of human and AI collaborative tandem as a leadership practice for maximization. In conclusion, AI has the potential to advance educational leaders' effectiveness toward more efficient, informed, and innovative models, while also informing research and practice implications.
Co-Authors Ezam, Zakirullah Fazil, Abdul Wajid Hakimi, Musawer Himmat, Bilal I Wayan Aditya Suranata Kohistani, Ahmad Jamy Quraishi, Tamanna Sahnosh, Faqeed Ahmad Samadzai, Abdul Wahid Sirat, Abdul Wali