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All Journal Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC)
Suryari Purnama
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.
Internet of Things, Big Data, and Artificial Intelligence in The Food and Agriculture Sector Suryari Purnama; Wahyu Sejati
International Transactions on Artificial Intelligence Vol. 1 No. 2 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i2.274

Abstract

Big data often referred to as streaming data produced by the internet of things creates new options for monitoring food and agricultural processes. Along with sensors, social media big data is also playing a bigger role in the food business. The IoT, big data, and artificial intelligence are discussed in this review along with how they will impact the agri-food industry in the future. We begin with an introduction to the fields of IoT, big data, and AI before talking about how IoT and big data analysis are used in agriculture, including smart farm equipment, crop imaging using drones, and monitoring of greenhouses, food quality assessment using spectral techniques and sensor fusion, and eventually, food safety using gene sequencing and blockchain-based digital traceability. The commercial viability of applications and the outcomes of translational research are given significant consideration.
Application of RESTful Method with JWT Security and Haversine Algorithm on Web Service-Based Teacher Attendance System Suryari Purnama; Mustofa Kamal; Ahmad Bayu Yadila
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.v2i1.400

Abstract

A teacher attendance system utilizing fingerprints has been implemented at Ponpes Daarul Muttaqien II. However, fingerprint recognition errors frequently occur if the scanner is unclean. Teachers fill out an attendance update form for various reasons, including forgotten attendance, damaged fingerprints, and unnoticed absences. The Human Resources Bureau receives updates from around 28 instructors within one week. Statistics reveal that 30% of instructors update due to finger injuries preventing recognition, and 70% due to forgetting. Amid the COVID-19 pandemic, organizations advise remote work. Similarly, only specific sections, like technical and security units, require attendance at Ponpes Daarul Muttaqien II. Due to the potential risks of linking fingerprints to virus transmission, this study proposes a web-based attendance system. It employs the RESTful API approach, JWT Security, and the Haversine Formula Algorithm. The system mandates employees to be within 100 meters of a designated coordinate point for attendance. The system tracks attendance status, arrival and delay times, and absence status. Future enhancements might involve facial recognition for more robust validation. In conclusion, this innovative approach addresses attendance challenges, offering adaptability, security, and potential fraud prevention.
Co-Authors Ahmad Bayu Yadila Anggy Giri Prawiyogi Bhupest Rawat Deva Rivelino Lista Meria Muhammad Rehan Anwar Mulyati Mulyati Mustofa Kamal Primasatria Edastama Riya Widayanti Wahyu Sejati