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All Journal IAIC Transactions on Sustainable Digital Innovation (ITSDI) Blockchain Frontier Technology (BFRONT)
Ramahdan, fikri Arsla
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

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Application of IoT and AI Based on ESP32CAM to Support Sustainable Mobility in Smart Cities Mohammad Annas; Ramahdan, Fikri Arsla; Tessa Handra; Achmad Hidayat Dwi Saputra; Henrik Jensen
Blockchain Frontier Technology Vol. 4 No. 2 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i2.707

Abstract

Sustainable mobility is a crucial component of smart city development, aiming to create an efficient, ecofriendly, and high quality urban environment. The rapid urbanization and increasing vehicle numbers have led to traffic congestion, high carbon emissions, and inefficient public transportation systems. To address these challenges, integrating Internet of Things (IoT) and Artificial Intelligence (AI) technologies, particularly through the ESP32CAM platform, offers innovative solutions for realtime monitoring, analysis, and management of transportation systems. This study aims to develop an intelligent mobility system that leverages ESP32CAM as the primary device for capturing visual data, including traffic density, vehicle tracking, and parking area occupancy. The collected data is processed using AI algorithms to generate insights, such as traffic pattern predictions and alternative route recommendations. The gap in existing smart mobility solutions lies in their high implementation costs and limited adaptability to developing regions. this study introduces an affordable and flexible system that optimizes transportation efficiency by up to 30%, reducing travel time and carbon emissions while enhancing public transportation management. The results indicate that implementing this system significantly contributes to sustainable urban development by improving mobility, reducing environmental impact, and accelerating the transformation towards smart cities, especially in developing countries where cost-effective solutions are essential.
Assessing the Impact of Corporate Governance and Strategic Leadership on Economic Growth and Market Stability Kadim, Abdul; Yusnita, Irma; Sutarman, Asep; Lesmana, Rosa; Ramahdan, Fikri Arsla
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.696

Abstract

In an increasingly complex and dynamic business environment, Corporate Governance and Strategic Leadership is the main factor in encouraging Economic Growth, Market Stability , and Organizational Performance. This study aims to evaluate the relationship between these variables and identify the role of strategic leadership and corporate governance in creating economic and market stability. This research uses the method Structural Equation Modeling based Partial Least Squares (PLS-SEM) by analyzing data from 100 participants ranging from middle level managers to senior executives. The research results show that Strategic Leadership has a significant positive influence on Economic Growth And Market Stability, whereas Corporate Governance actually shows a negative influence on these two variables. This could indicate underlying issues in the implementation of governance practices, such as lack of transparency, inefficiency in decision-making processes, or failure to address local market dynamics. Besides that, Market Stability has a greater impact on Organizational Performance compared with Economic Growth, which shows that market stability plays an important role in supporting organizational sustainability. Although this model provides strong empirical insight, value R-square A low level indicates that there are still other factors that need to be considered in improving organizational performance. As a future job (future work), this research recommends exploring additional variables such as technological innovation, government policy, as well as organizational culture factors to improve model predictions and expand understanding of the dynamics of economic growth and market stability.
Co-Authors Achmad Hidayat Dwi Saputra Henrik Jensen Kadim, Abdul Lesmana, Rosa Mohammad Annas Sutarman, Asep Tessa Handra Tessa Handra Yusnita, Irma