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This Author published in this journals
All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) International Journal of Cyber and IT Service Management (IJCITSM)
Yulia Putri Ayu Sanjaya
University of Raharja
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Quantum Computing and AI: Impacts & Possibilities Bhupesh Rawat; Nidhi Mehra; Ankur Singh Bist; Muhamad Yusup; Yulia Putri Ayu Sanjaya
ADI Journal on Recent Innovation Vol. 3 No. 2 (2022): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v3i2.656

Abstract

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable with time. This paper, the main objective is to find out the impact of quantum computing research growth for AI applications. Thus, the method used in this study uses computational methods. so that this research can be concluded regarding the growing impact of quantum computing research for a given AI application. This paper also presents the impact and possibilities of quantum computing in the field of artificial intelligence.
Implications of Distributed Energy Development in Blockchain-Based Institutional Environment Karno Diantoro; Dedeh Supriyanti; Ardi; Yulia Putri Ayu Sanjaya; Sri Watini
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.343

Abstract

This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
Enhancing Cybersecurity Information Sharing: A Secure and Decentralized Approach with Four-Node IPFS Zaleha Fauziah; Novi Putri Anggraini; Yulia Putri Ayu Sanjaya; Tarisya Ramadhan
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 3 No. 2 (2023): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v3i2.139

Abstract

The act of sharing cybersecurity information plays a proactive and collaborative role in bolstering organizational security through the exchange of data using a centralized repository service. However, the real-world application of centralized services comes with certain risks. It leaves organizations vulnerable to distributed denial-of-service (DDoS) attacks, leading to system failures and creating a single point of failure. Additionally, it opens the door to man-in-the-middle (MITM) attacks, potentially altering or pilfering exchanged information. These threats undermine user confidence in the confidentiality, integrity, and availability of their data. This study presents a secure solution, the design of a Cybersecurity Information Sharing (CyberShare) system that employs a private interplanetary file system (IPFS) network as a decentralized information storage solution. Unlike centralized storage, which relies on a single node, the CyberShare system utilizes a four-node IPFS network interconnected with swarm keys for authentication. This design enables users to store and share information securely from sender to recipient, eliminating the need for reliance on a central server and reducing the server load. An analysis of the proposed CyberShare system demonstrates its capability to ensure the confidentiality, integrity, and availability of cybersecurity information. By enhancing information security, CyberShare systems empower organizations to securely share and utilize cybersecurity data.
Co-Authors Ankur Singh Bist Ardi Bhupesh Rawat Dedeh Supriyanti Karno Diantoro Muhamad Yusup Nidhi Mehra Novi Putri Anggraini Sri Watini Tarisya Ramadhan Zaleha Fauziah