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Contact Name
Asfahani Asfahani
Contact Email
asfahani@insuriponorogo.ac.id
Phone
+6289515234011
Journal Mail Official
journaljaid89@gmail.com
Editorial Address
Jl. Agus Salim, Bediwetan, Ponorogo, East Java, Indonesia.
Location
Kab. probolinggo,
Jawa timur
INDONESIA
The Journal of Artificial Intelligence and Development
Published by Edujavare Publishing
ISSN : -     EISSN : 30317428     DOI : https://doi.org/10.xxx/
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.
Articles 29 Documents
Impact of AI in Education and Social Development through Individual Empowerment Muhammad Guruh Nuary; Loso Judijanto; Elly Siti Nurliyah; Muriyanto Muriyanto; Samar A. El-Farra
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
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Abstract

This research investigates the transformative impact of Artificial Intelligence (AI) on education and social development through individual empowerment. Leveraging a systematic literature review approach, the study examines the multifaceted implications of AI integration in educational and social contexts, with a specific focus on its role in personalized learning, access to education, and socio-economic empowerment. The findings underscore the significant advancements facilitated by AI technologies in enhancing educational outcomes, increasing access to quality education for marginalized populations, and promoting socio-economic mobility. However, the research also highlights the importance of addressing ethical considerations, algorithmic bias, and equitable access to ensure that the benefits of AI are equitably distributed across diverse populations. Moving forward, future research directions include interdisciplinary studies, longitudinal analyses, comparative research across different socio-cultural contexts, and participatory approaches to inform the development of inclusive and sustainable AI solutions that empower individuals and promote social justice.
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
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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 Big Data Processing and Artificial Intelligence in Increasing Economic Competitiveness Arief Budi Pratomo
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
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Abstract

In the increasingly developing digital era, the role of Big Data Processing and Artificial Intelligence (AI) in increasing economic competitiveness is becoming increasingly important to research. This article aims to explore the contribution of Big Data and AI in increasing economic competitiveness and provide new insights into effective strategies for utilizing these technologies. The research method used is a qualitative approach, which involves in-depth interviews with stakeholders and document analysis to gain a holistic understanding of the role of Big Data and AI in the economic context. The research results show that Big Data and AI significantly increase productivity, efficiency, innovation, creativity, and economic growth. Therefore, this article concludes that adopting this technology is important in facing challenges and exploiting opportunities to increase economic competitiveness in this digital era.
A Comprehensive Review of the Transformative Impact of Artificial Intelligence on Sustainable Development Sri Widiastuti; Loso Judijanto; Tanwir Tanwir; Arnes Yuli Vandika; Abdul Muid Fabanyo
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
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Abstract

This comprehensive review article examines the transformative impact of Artificial Intelligence (AI) on Sustainable Development, covering diverse sectors such as environmental conservation, energy efficiency, healthcare, and socio-economic inclusion. The integration of AI technologies has the potential to revolutionize traditional practices and contribute significantly to achieving sustainable development goals. The primary objective is to comprehensively analyze AI's transformative impact across various domains of sustainable development, highlighting key applications, challenges, and future trends. The research methodology involves a Systematic Literature Review (SLR) approach, encompassing a structured search, selection, and analysis of relevant scholarly articles, reports, and studies on AI and sustainable development. The findings reveal that AI is crucial in environmental monitoring, energy optimization, healthcare innovation, and socio-economic inclusion. However, ethical considerations, data privacy, and regulatory frameworks are essential aspects to address for responsible AI deployment in sustainable development initiatives.
Ethical Considerations in the Development and Application of Artificial Intelligence for Social and Economic Progress Loso Judijanto; Jackson Yumame; Tanwir Tanwir; Gusma Afriani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
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This study investigates the ethical considerations surrounding the development and application of artificial intelligence (AI) for social and economic progress. This research aims to analyze the impact of AI on fairness, transparency, accountability, privacy, and social outcomes. The research method uses a systematic literature review (SLR) to collect and synthesize relevant findings from previous research and theoretical frameworks. The data is collected, and the data analysis technique used in the SLR method is to carry out stages such as study selection, evaluation of study quality, extraction of relevant data, and synthesis of findings from the selected studies. This research results in the importance of mitigating bias, increasing transparency and accountability, protecting privacy and data, and evaluating the social impact of AI. In conclusion, this research underscores the critical need for ethical frameworks and regulations to guide AI's responsible development and deployment to drive equitable and beneficial social and economic progress.
Educational Revolution through the Application of AI in the Digital Era Agus Nursalim; Loso Judijanto; Asfahani Asfahani
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
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Abstract

The rapid advancement of artificial intelligence (AI) technology has sparked an educational revolution, transforming traditional teaching methodologies and learning approaches in the digital era. This study aims to investigate the impact of AI application in education, focusing on personalized learning experiences, student engagement, critical thinking development, and data-driven decision-making. The research utilizes a Systematic Literature Review (SLR) methodology to gather and analyze relevant empirical evidence and theoretical frameworks. The results highlight significant improvements in personalized learning, increased student engagement, enhanced critical thinking skills, and improved data-driven decision-making processes facilitated by AI technology. The findings contribute to a deeper understanding of the educational revolution driven by AI in the digital era and underscore the importance of responsible AI integration for fostering inclusive, innovative, and effective education systems.
21st Century Economic Transformation: The Impact of Artificial Intelligence on Markets and Employment Loso Judijanto; Asfahani Asfahani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
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Artificial intelligence (AI) has transformed the 21st-century economy, shaping markets and employment. This study aims to investigate the impact of AI on the market and employment. This research uses a qualitative approach, which takes data through observation and interview techniques. In contrast, the data analysis technique uses the Miles Humbermen model through data presentation, reduction, and conclusion. This research reveals that although AI increases efficiency and productivity, it also causes job displacement and requires upskilling efforts and new skills. Additionally, AI drives the emergence of new sectors and raises ethical and regulatory challenges that must be overcome for sustainable economic development.
Industrial Revitalization with AI between Opportunities and Challenges for Global Economic Growth Loso Judijanto; Asfahani Asfahani; Anjana Prusty; Nova Krisnawati; Asri Ady Bakri
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
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Abstract

This study investigates the Industrial Revitalization with AI, exploring both the opportunities and challenges it presents for global economic growth. The aim is to provide a comprehensive understanding of AI's role in reshaping industries, the methods used in the study include qualitative research methods such as in-depth interviews with industry leaders, technology experts, and stakeholders. The findings highlight the significant potential of AI in enhancing productivity and innovation across various sectors, while also emphasizing the need for addressing concerns such as job displacement, data privacy, and regulatory frameworks. In conclusion, the study underscores the transformative impact of AI on industrial revitalization, emphasizing the importance of responsible AI deployment and collaborative efforts for sustainable economic growth.
AI-Supported Management through Leveraging Artificial Intelligence for Effective Decision Making Loso Judijanto; Asfahani Asfahani; Asri Ady Bakri; Edy Susanto; Ummu Kulsum
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
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Abstract

This study explores integrating artificial intelligence (AI) technology in management practices to improve decision-making effectiveness. This research investigates how AI-powered management systems leverage machine learning, predictive analysis, and scenario modeling to provide real-time data insights and optimize resource allocation. This research uses the Systematic Literature Review (SLR) methodology to analyze existing studies and theoretical frameworks related to AI in management. The research results reveal that AI technology contributes significantly to strategic agility, operational efficiency, and risk assessment, ultimately resulting in better decision outcomes. The study concludes that organizations must invest in talent development, ethical considerations, and cybersecurity measures to fully exploit AI's potential for effective decision-making in today's dynamic business landscape.
The Future of Leadership: Integrating AI Technology in Management Practices Loso Judijanto; Asfahani Asfahani; Nova Krisnawati
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
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With the rapid advancement of artificial intelligence (AI) technology, organizations face a paradigm shift in leadership and management practices. This research aims to explore the integration of AI technology in leadership, focusing on its impact, challenges, and opportunities. This research uses a systematic literature review (SLR) method; this research synthesizes existing knowledge and identifies key findings regarding the role of AI in decision-making, ethical considerations, organizational readiness, and required leadership skills. These findings highlight the potential benefits of AI in improving decision-making processes and organizational efficiency while emphasizing the importance of addressing ethical issues, improving organizational readiness, and developing new leadership competencies. This research contributes to understanding the future leadership landscape in AI technology integration.

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