Abstract:Climate change is increasingly recognized as a major driver of internal displacement, particularly in fragile states like Libya where environmental shocks intersect with political instability and weak governance. This study…
udy investigates how climate-induced internal displacement affects social cohesion in Libya’s coastal cities, focusing on Tripoli, Misrata, and Benghazi. Using a qualitative research design, data were collected through in-depth interviews, focus group discussions, and field observations involving internally displaced persons (IDPs), host community members, and local stakeholders. Findings reveal that environmental factors such as drought and flooding have forced vulnerable populations to migrate from Libya’s interior regions to urban coastal centers. These displacements have strained public services, exacerbated competition for resources, and led to growing tensions between displaced populations and host communities. Social trust, mutual support, and access to services have all been undermined, while IDPs often face legal invisibility, psychological stress, and marginalization. Despite these challenges, the research identifies promising local initiatives that have fostered integration and rebuilt social ties, including joint livelihood programs and inclusive municipal governance efforts. However, these efforts remain fragmented and unsustainable without broader policy support. The study concludes that to prevent further erosion of social cohesion, Libya must adopt a national legal framework to recognize and protect climate-displaced persons, strengthen municipal capacities, and integrate displacement considerations into urban planning and climate adaptation strategies. This article contributes to emerging literature on climate migration and urban resilience by providing grounded, context-specific insights into how environmental displacement reshapes the social fabric in post-conflict settings.
Abstract:The rapid integration of Artificial Intelligence (AI) into organizational systems has transformed workplace dynamics, employee responsibilities, and patterns of human labor. Although AI implementation improves operational…
l efficiency and productivity, it also creates psychological and professional challenges for employees adapting to technological change. This study aims to explore the lived experiences, emotional responses, and adaptation strategies of employees in South Sulawesi companies undergoing AI-driven digital transformation. This research employed a qualitative phenomenological approach. Data were collected through in-depth semi-structured interviews with 20 participants from the banking, manufacturing, retail, technology, and service sectors in South Sulawesi, Indonesia. Participants were selected using purposive sampling based on direct exposure to AI systems and a minimum of 1.5 years of work experience. The data were analyzed using thematic analysis to identify recurring patterns and meanings related to employee adaptation. The findings revealed six major themes: AI as a tool for improving efficiency and productivity, fear of job displacement and career uncertainty, the importance of continuous learning and digital skill development, the role of organizational support and leadership communication, the emergence of human–AI collaboration, and varied psychological responses to technological change. Employees who received organizational support and training demonstrated greater adaptability and confidence in responding to AI implementation. The study emphasizes the importance of human-centered change management strategies that prioritize psychological safety, transparent communication, and continuous digital training. This research contributes to the limited phenomenological literature on AI adaptation in Indonesia and provides practical implications for human resource management and organizational behavior in the era of digital transformation.
Abstract:This study investigates the tensile uplift capacity of screw piles in clay soil as an alternative anchoring system for slope stabilization in cohesive ground conditions. The research aims to address the limited availability…
ity of empirical field data on screw-pile behavior under repeated loading and to evaluate the agreement between theoretical predictions and actual in situ responses. The methodology employs an experimental approach through in situ testing with screw-pile diameters of 10 cm, 15 cm, and 20 cm, and embedment depths ranging from 0.6 m to 1.0 m. The tests were conducted under both static and repeated tensile loading using a hydraulic jack system, accompanied by vertical deformation measurements to establish load–displacement curves. Theoretical capacity was calculated using a limit equilibrium approach for comparison with experimental results. The findings reveal a nonlinear load–displacement response, characterized by initial stiffness followed by progressive deformation into the post-yield stage. At a maximum load of 2.858 tons, deformation increased with diameter, from 5.10 cm (10 cm) to 8.49 cm (20 cm). Under repeated loading, failure occurred at a lower load of approximately 1.6 tons with a maximum deformation of 1.648 cm, indicating potential capacity degradation due to cyclic loading. The comparison between theoretical and field results shows significant deviations, with analytical predictions generally underestimating the in situ capacity. This highlights the limitations of simplified models that do not fully account for shaft adhesion, installation disturbance, soil heterogeneity, pore-water pressure effects, and cyclic degradation. Overall, this study contributes valuable field pull-out test data for screw piles in clay under repeated loading, emphasizing the need for design calibration based on full-scale testing for slope stabilization applications. The results also suggest opportunities for further research involving long-term monitoring and advanced modeling of cyclic degradation.
Abstract:The Industrial Revolution 4.0 has drastically transformed global industries, introducing advanced technologies such as automation, artificial intelligence, and digitalization into the workplace. This rapid technological…
shift has presented significant challenges for labor laws, which are often designed for traditional work environments. This study explores the implementation of labor law in the context of the Industrial Revolution 4.0, analyzing the challenges faced by both employers and employees in adapting to these new technological advancements. Using a qualitative methodology, this research employs a juridical review of existing labor laws, supported by an in-depth case study examining how these laws are applied in technology-driven industries. The findings indicate that labor laws often lag behind the technological advances, leading to gaps in legal protections for workers and ambiguities in employer obligations. The case study highlights specific instances where current labor regulations fail to address issues related to remote work, job displacement due to automation, and workers' rights in the gig economy. Solutions are proposed to modernize labor laws, ensuring they are adaptable to future technological developments while safeguarding workers' rights. The study concludes that there is an urgent need for legal reforms to balance innovation with fair labor practices in the era of Industry 4.0.