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The Journal of Artificial Intelligence and Development
Published by Edujavare Publishing
ISSN : -     EISSN : 30317428     DOI : https://doi.org/10.xxx/
Core Subject : Science, Education, Social,
Computer Science & IT Environmental Science Mathematics Social Sciences Other
The Journal of Artificial Intelligence and Development (e-ISSN: 3031-7428) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The journal’s scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 3 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2023): AI Deevelopment" : 3 Documents clear
Comprehensive Analysis of AI's Contribution to Global Economic Development Abdur Rohman; Asfahani Asfahani; Khurshed Iqbal; Loso Judijanto; Rony Sandra Yofa Zebua
Journal of Artificial Intelligence and Development Vol. 2 No. 2 (2023): AI Deevelopment
Publisher : Edujavare Publishing

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Abstract

This article presents a comprehensive analysis of the contribution of artificial intelligence (AI) to global economic development. This research aims to fill the knowledge gap by presenting a comprehensive analysis of the contribution of AI to global economic development. The method used in this research involves a comprehensive approach that includes literature analysis, case studies, and evaluation of the latest global economic data. Through a holistic approach, this research explores the impact of AI from various perspectives, including economic growth, labor markets, ethical aspects, and social implications. The research results show that the widespread implementation of AI technology has positively impacted productivity and efficiency in various sectors, driving significant GDP growth. However, inequality in access and benefits of AI technology has also been found, requiring special attention in global policy formulation. Through pairing with previous research and integrating economic and innovation theory, this article provides deep insight into the complexity of the interactions between AI and global economic development. In doing so, this article not only enriches our understanding of the role of AI in a global context but also details how relevant theories can be updated to reflect the evolving dynamics of AI's dominance in the global economic landscape.
Utilization AI for Predictive Maintenance in IoT-Enabled Industrial Systems Halim Mudia
Journal of Artificial Intelligence and Development Vol. 2 No. 2 (2023): AI Deevelopment
Publisher : Edujavare Publishing

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Abstract

Integrating Artificial Intelligence (AI) with Internet of Things (IoT) technologies has emerged as a transformative approach to predictive maintenance in industrial systems. This article aims to explore the use of AI for predictive maintenance in IoT-based industrial systems, aiming to improve operational efficiency and asset reliability. The research method uses a systematic literature review (SLR) through empirical studies and real-world case scenario analysis; this research highlights the potential benefits of AI-based predictive maintenance, including proactive equipment failure detection, maintenance schedule optimization, and reduced downtime. However, implementation challenges such as data quality, interoperability, and cybersecurity must be addressed to realize the benefits of AI-based predictive maintenance fully. The research results identify emerging trends and future directions in AI-powered predictive maintenance, emphasizing the importance of continuous innovation and exploration of advanced technologies to drive sustainable growth in the industrial environment. So, integrating AI algorithms with IoT sensors enables proactive identification of equipment failures, optimization of maintenance schedules, and, ultimately, enhancement of operational efficiency and asset reliability.
The Role of Natural Language Processing (NLP) in Advancing Language Learning Technology in Educational Platforms Judijanto, Loso
Journal of Artificial Intelligence and Development Vol. 2 No. 2 (2023): AI Deevelopment
Publisher : Edujavare Publishing

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Abstract

This research explores the role of Natural Language Processing (NLP) in enhancing language learning technologies within educational platforms. With the increasing reliance on digital tools for language education, NLP technologies offer promising solutions for personalizing learning, providing real-time feedback, and improving learner engagement. The study aims to investigate how NLP is applied in language learning platforms, identify its benefits and challenges, and explore its potential for further development. Using a qualitative approach, the research includes case studies of popular language learning platforms such as Duolingo and Babbel, and interviews with educators, language learners, and platform developers. Thematic analysis was employed to examine the data, identifying key themes such as personalized learning, learner engagement, and conversational simulation. The findings indicate that NLP significantly enhances personalized learning experiences by adapting content to individual learner needs and providing immediate feedback, which improves learner retention and motivation. However, challenges related to the system's ability to capture linguistic nuances and regional variations, as well as concerns about data privacy, were also identified. This study concludes that while NLP has great potential to transform language education, there are still limitations that need to be addressed. Future research should focus on refining NLP algorithms to handle complex language structures and cultural contexts, as well as addressing ethical concerns regarding data security. The study contributes valuable insights for educators, developers, and policymakers looking to integrate NLP into language learning platforms.

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