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All Journal International Transactions on Artificial Intelligence (ITALIC)
Oscar Jayanagara
University of Pelita Harapan
Computer Science & IT Control & Systems Engineering Library & Information Science

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An Overview of Concepts, Applications, Difficulties, Unresolved Issues in Fog Computing and Machine Learning Oscar Jayanagara; Dewi Sri Surya Wuisan
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.v1i2.318

Abstract

Numerous fog computing apps and services are emerging as a result of the large volumes of data produced by systems based on fog computing. Additionally, the crucial field of machine learning (ML), which has made significant advancements in several academic areas, incorporating speech recognition, robotics, and neuromorphic computing, in addition to computer graphics and natural language processing (NLP).. The aim of current research provided insight into providing a list of the fog computing-related ML operations. The security, capacity, and latency standards for networks must be met by many IoT applications. Cloud computing does not, however, satisfy these needs. Today's technology can satisfy these objectives, and edge computing is one such option. The model enables traffic analysis and sensor data analysis. The management of resources, accuracy, and security are three areas of fog computing that we highlight in this thorough assessment of the most recent advancements in ML approaches. Additionally highlighted is the function of ML in edge computing. Additional viewpoints on the ML domain are presented, including those on the different kinds of application support, techniques, and datasets. Finally, open questions and research difficulties are highlighted.
The Role of Smart Automation in Tourism Industry Management using Smart PLS Oscar Jayanagara; Sri Watini
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.v2i1.385

Abstract

The main objective of this research is to critically examine existing research and the application of smart automation (Smart PLS) in the tourism industry. Additionally, this study proposes a new evaluation framework to identify vulnerabilities in the adoption of smart automation. This is a synthesis and evaluation study, where qualitative findings about the implementation of smart automation in the tourism industry are presented. The study uses a seven-dimensional evaluation framework based on Rogers' diffusion theory (2003) to assess the current implementation of intelligent automation. The vulnerability of adopting smart automation in the tourism industry depends largely on the type of smart automation used. Search/booking engines, virtual agents, and chatbots are three types of intelligent automation that have high vulnerability levels. The limitations and implications of this study are that it bridges the foundations of innovation diffusion theory and the application of smart automation. The findings from this research can help researchers, developers, and managers evaluate the vulnerability of adopting smart automation technology in the tourism industry. This paper is also one of the few papers that assess the vulnerability of adopting smart automation in the tourism industry, and it develops a theory-based evaluation framework to systematically evaluate smart automation innovation in the tourism industry.
Co-Authors Sri Watini Wuisan, Dewi