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Journal : Journal of Renewable Engineering

Evaluation of the Success of Transportation Infrastructure Renewal Projects: Case Study of the Jakarta-Bandung High-Speed Train Development Amelia Hayati; Rahadi Meta Tri Sulaksana; AAA Made Cahaya Wardani; Adyk Marga Raharja
Journal of Renewable Engineering Vol. 2 No. 1 (2025): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/d36tjv51

Abstract

The development of transportation infrastructure has a multidimensional impact in driving economic growth and regional integration. The Jakarta-Bandung High-Speed Rail project is expected to reduce traffic congestion and improve connectivity and mobility efficiency. However, its success must be assessed not only from the technical aspects and physical completion, but also the effectiveness of public investment, long-term economic impacts, and environmental sustainability. The main challenges of this project include land acquisition, financial uncertainty due to debt-based financing schemes, and integration with other transportation systems. From a social perspective, this project has the potential to drive urbanization around the route, but also poses the risk of development inequality and gentrification. Ecological impacts are also a concern, especially in terms of land degradation and operational energy consumption. This study uses a literature study method with content analysis to evaluate the success of the project based on economic, social, and environmental indicators. The results of the study show that the effectiveness of this project is highly dependent on operational optimization, integration of transportation modes, and the sustainability policies implemented. With transparent governance and appropriate risk mitigation strategies, this project has the potential to provide long-term benefits for economic growth and community welfare, as well as being a model for more inclusive and sustainable transportation infrastructure development in Indonesia.
The Application of Artificial Intelligence in Industrial Supply Chain Optimization and Its Implications for Business Performance Arie Wahyu Prananta; Amelia Hayati
Journal of Renewable Engineering Vol. 2 No. 4 (2025): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/02xg5t30

Abstract

The digital transformation occurring in the global industrial landscape has driven the need for more adaptive, efficient, and resilient supply chain systems. Amid increasing market complexity, demand fluctuations, and delivery time pressures, the integration of Artificial Intelligence (AI) technology has become a crucial strategy in addressing these challenges. This study aims to evaluate the strategic role of AI in industrial supply chain optimization and its impact on business performance. Using a qualitative approach using a systematic literature review method, various scientific publications from 2019 to 2024 were analyzed. The study results indicate that AI contributes significantly to demand planning, inventory management, distribution optimization, and data-driven decision-making. Positive impacts include increased operational efficiency, predictive accuracy, delivery reliability, and business productivity. However, implementation challenges remain, such as infrastructure limitations, a lack of expertise, organizational resistance, and regulatory and ethical issues. Therefore, successful AI adoption requires a comprehensive approach, encompassing technological readiness, human resource development, and sustainable data governance. This study recommends the need for a collaborative and inclusive digital transformation roadmap to realize an intelligent and competitive industrial supply chain in the digital economy era.