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All Journal Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC)
Lista Meria
University of Esa Unggul
Computer Science & IT Control & Systems Engineering Education Library & Information Science

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The Potential Blockchain Technology in Higher Education Learning Innovations in Era 4.0 Primasatria Edastama; Suryari Purnama; Riya Widayanti; Lista Meria; Deva Rivelino
Blockchain Frontier Technology Vol. 1 No. 01 (2021): B-Front(Blockchain Frontier Technology)
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v1i01.18

Abstract

In the world of education, the development of technology systems is increasingly rapid. The implementation of Blockchain continues to be used in various sectors. This study analyzed the use of Blockchain in higher education. The research discussion results lead to the use of blockchain technology, which is a new trend in higher education. Blockchain implementation in higher education creates problems in the use of blockchain technology. Based on the use of Blockchain in research, we are exploring the application of related technologies in higher education. The problem with technology that functions to record small transactions and data used for many sectors such as recording transactions, documentation, and even voting, which is also used in Higher Education, is unfortunately not well implemented. This supports research on the use of blockchain technology that can record transactions in many sectors. Documenting the process of transactions, documentation, and voting can even be used in Higher Education. To improve the blockchain technology system's performance in higher education, it is becoming more effective, efficient, and more accessible in recording transaction processes. It can become a new innovation for Higher Education.
Smart Cities Using Machine Learning and Intelligent Applications Anggy Giri Prawiyogi; Suryari Purnama; Lista Meria
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.204

Abstract

The goal of smart cities is to properly manage to expand urbanization, Reduce energy usage, Enhance the economic and quality of life of the locals while also preserving the environment conditions, and improve people's ability to use and adapt modern technology used in information and communication efficiently (ICT). Information and communication technology (ICT) is central to the concept of smart cities because it facilitates the development of policies, decision-making, implementation, and, eventually, the provision of useful services. This review's main objective is to examine how machine learning, deep reinforcement learning (DRL), and artificial intelligence are advancing smart cities. The previous strategies are effectively utilized to provide the best policies possible for a number of challenging issues relating to smart cities. The uses of the earlier methods are thoroughly discussed in this survey. in intelligent transportation systems (ITSs), Cybersecurity, as well as smart grid energy efficiency (SGs), ensuring the best 5G and beyond 5G (B5G) networking service, as well as a smart city with a smart health system, by effectively using unmanned aerial vehicles (UAVs). Finally, we list a number of the above-mentioned research problems and potential future directions approaches can be extremely helpful in bringing the idea of a smart city to life.
For a CPS-IoT Enabled Healthcare Ecosystem Consider Cognitive Cybersecurity Anggy Giri Prawiyogi; Lista Meria
International Transactions on Artificial Intelligence Vol. 2 No. 1 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i1.398

Abstract

Cyber-Physical Systems (CPS)-Internet of Things (IoT) enable healthcare services and infrastructure to enhance human lives, but they are vulnerable to various emerging cyber attacks. Cybersecurity specialists struggle to keep up with increasingly sophisticated attack methods. An urgent requirement exists for inventive cognitive cybersecurity in CPS-IoT enabled healthcare ecosystems. This paper presents a framework for cognitive cybersecurity to simulate human cognitive behavior in anticipating and responding to new and evolving cybersecurity and privacy threats to CPS-IoT and critical infrastructure systems. The framework encompasses the conceptualization and description of a layered architecture that integrates Artificial Intelligence, cognitive methods, and innovative security mechanisms.
Co-Authors Anggy Giri Prawiyogi Deva Rivelino Primasatria Edastama Riya Widayanti Sri Watini Suryari Purnama Tuti Nurhaeni