Galuh Syahbana Indraprahasta

Information disorder lands hardest where governance is uneven, and Asian cities are uneven in distinctive ways. This chapter examines how urban population dynamics, mobility, inequality, social cohesion, local governance conditions, and public trust shape vulnerability and resilience to hostile narratives, with Jakarta as the volume's principal urban case. Drawing on population geography, social-policy analysis, and urban-governance scholarship, it shows that demographic density, internal migration, and uneven service delivery create fertile conditions for hostile narratives to take root, while pre-existing social cohesion and trust operate either as buffers or as accelerants depending on context. The chapter argues that the Cognitive dimension of the Urban Cyfluence Framework cannot be inferred from platform activity alone, because it is mediated by housing conditions, transport reliability, the credibility of local institutions, and residents' lived experience of the state. The result is a social baseline against which later Digital and Cybersecurity findings can be read.

What happens when a city is not only disrupted, but also narrated, contested, and manipulated in real time? Urban Cyfluence Blueprint – Volume 1: Asia introduces a new way of understanding urban vulnerability in the digital age. As cities rely more on digital infrastructure, data systems, and public trust, disruption can quickly move across institutions, platforms, and public perception. Bringing together expert perspectives from across Asia, this volume examines how cyber disruption, information disorder, geopolitical contestation, and shifting trust reshape the way cities are governed and perceived. The Blueprint argues that urban resilience is no longer only about infrastructure, technology, or crisis response. It must also account for how trust is built, damaged, and weaponized. As the inaugural volume of the Urban Cyfluence Blueprint Series, this publication focuses on Asia, with future volumes planned for Oceania and Europe.

While the term rural transformation was first coined in the late 1960s, it is only recently that there has been a significant increase in interest in research employing this label. This particular corpus of research has evolved into a diverse body of literature. However, there is a lack of understanding of the academic landscape of this literature. The objective of this paper is to present a comprehensive and up‐to‐date review of the key characteristics, research topics, and evolution of this body of literature over the past six decades. To this end, the paper employed a science mapping tool, namely CiteSpace, to retrieve data from the Scopus database, combined with an exploratory review. A total of 580 academic articles published up to 2023 were identified and analysed. As the notion of rural transformation has evolved, the extant literature has expanded beyond its initial focus on economic and demographic changes to encompass a broader range of topics, including sustainability, young population, and spatiotemporal analysis, as well as to capture diverse experiences from around the globe. This diversity indicates the need to situate rural transformation within different geographical contexts. In addition to the recent trend, potential areas of research that may shape the future direction of rural transformation literature include environmental sustainability, contemporary globalisation, technological progress, and population dynamics.

The development of a new capital city presents complex challenges, especially in terms of the complicated bureaucratic flow in realizing an efficient, sustainable, and people‐centered smart city as the new identity of a country. This study explores the complex issues faced in the development of Nusantara, the new capital city of Indonesia, and proposes a smart bureaucracy model to improve interagency coordination and transform modern bureaucratic processes. Using a hybrid methodological approach that combines soft systems methodology (SSM) with the TELOS framework and MoSCoW method, this study conducted extensive stakeholder interviews with officials from the Nusantara Authority, local governments, and academics, in addition to a comparative analysis with Putrajaya and Naypyidaw. This study produced a five‐layer smart bureaucracy model consisting of strategic layers, interagency coordination, operations, monitoring and evaluation, and digital infrastructure. Implementation is structured in three phases: building basic elements through comprehensive regulations and a single authority; strengthening basic systems through the development of ICT infrastructure; and implementing advanced features, including a smart city platform. This model offers a comprehensive solution to improve interagency coordination through technology integration, considering organizational readiness and resource availability, and provides valuable insights for developing countries implementing similar initiatives in their national capitals.

Dimensi Spasial Determinan Kemiskinan Kabupaten/Kota di Provinsi Aceh

JJob automation through the adoption of more advanced technologies under the fourth industrial revolution (Industry 4.0) has significantly impacted many countries, including Indonesia. In particular, the abundance of Indonesia’s human resources, given the country’s demographic bonus, is challenged by the skills of workers. In this study, our departure is the potential conflict of the human-technology nexus in Indonesia’s garment industry, a labor-intensive line of industry. The objectives of this study are twofold. First, it aims to dissect the multi-level factors in the adoption of Industry 4.0 technology in Indonesia’s garment industry. Second, it aims to understand the impact of job automation on labor-intensive workers in Indonesia’s garment industry. Based on a number of semi-structured interviews supported by relevant secondary data, this study reveals that multi-level factors do affect the adoption of Industry 4.0 technology and its entailing shift in workers’ utilization in Indonesia’s garment industry. Instead of replacing workers, Indonesia’s garment companies tend to utilize technology as a complementary element. However, there is a need to shift the state of industrial workers, in terms of their mindset and skills Keywords: Job Automation, Garment Industry, Labour Intensive, Indonesia

Keragaman Spasial Faktor-faktor Penentu Harga Jual Rumah di Kota Depok