Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal International Journal of Cyber and IT Service Management (IJCITSM) AI, Innovation, and Resilience for the Environment Journal
Nuke Puji Lestari Santoso
Alfabet Inkubator Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends Nuraini Diah Noviati; Fengki Eka Putra; Sadan Sadan; Ridhuan Ahsanitaqwim; Nanda Septiani; Nuke Puji Lestari Santoso
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.161

Abstract

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.
Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends Nuraini Diah Noviati; Fengki Eka Putra; Sadan Sadan; Ridhuan Ahsanitaqwim; Nanda Septiani; Nuke Puji Lestari Santoso
International Journal of Cyber and IT Service Management Vol. 4 No. 2 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.161

Abstract

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.
Leveraging Public APIs for Strategic Business Insights Fandi Ahmad; Nuke Puji Lestari Santoso; Kgomotso Moyo
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment Journal (AIR)
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.124

Abstract

Public Application Programming Interfaces (APIs) have become an integral component of digital ecosystems, enabling organizations to access external data sources and transform them into meaningful strategic insights. Alongside the rapid expansion of open data and platform-based services, organizations increasingly rely on public APIs to support decision making, market analysis, and strategic planning. However, many organizations still struggle to move beyond technical implementation and fully integrate API-based data into managerial and strategic processes. This study aims to explore how public APIs are leveraged to generate strategic business insights, focusing on organizational practices, interpretive processes, and contextual factors that shape their effective use. To address this aim, the study adopts a qualitative multiple case study approach involving organizations operating in data-intensive digital business environments. Data were collected through semi-structured interviews with managers and analysts, complemented by document analysis and limited observation, and were analyzed using thematic analysis. The findings reveal that public APIs function not merely as technical connectors, but as strategic resources that enhance market sensing, support managerial judgment, and enable greater strategic agility. At the same time, the study identifies recurring challenges related to data quality, dependency on external API providers, governance mechanisms, and trust in externally sourced data. By providing an in-depth, process-oriented understanding of API utilization, this research contributes to the digital business and data-driven strategy literature, particularly from a qualitative perspective that remains underrepresented. The study also offers practical insights for organizations seeking to align public API usage with strategic objectives, highlighting the importance of analytical interpretation, leadership involvement, and governance practices in transforming external data into actionable business insights.
Co-Authors Fandi Ahmad Fengki Eka Putra Kgomotso Moyo Nanda Septiani Nuraini Diah Noviati Ridhuan Ahsanitaqwim Sadan Sadan