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All Journal Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology
Ezam, Zakirullah
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Abstract

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.
Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Abstract

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.
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.
Co-Authors Enayat, Wahidullah Fazil, Abdul Wajid Hakimi, Musawer I Wayan Aditya Suranata Quraishi, Tamanna Rahmani, Khoshal Rahman Samadzai, Abdul Wahid Shahbazi, Hafizullah