This paper aims to provide a comprehensive view of the E-Government Development Index analysis in Southeast Asia. Through a review of the results of an annual survey of 192 United Nations (UN) member states, the study identified 11 countries with the E-Government Development Index in Southeast Asia. The findings in this study revealed that the E-Government Development Index (EGDI) in Southeast Asian countries displays different levels of development. Singapore, Malaysia, and Brunei are the countries in the region with the highest EGDI scores. Singapore leads the area with a high EGDI score. These countries have effectively implemented advanced e-government services, such as online public services, digital infrastructure, and e-participation, which have greatly improved the quality of life of their citizens and the efficiency of their government function. On the other hand, countries such as Cambodia, Laos, and Myanmar lag in their e-government development as a result of factors such as limited Internet access, inadequate digital infrastructure, and low levels of digital literacy among the populations of these countries. In addition, some moderate progress has been made in the development of e-government in mid-level countries, such as Thailand, Indonesia, the Philippines, and Vietnam. These countries continue to improve their digital infrastructure and enhance their e-service offerings to close the digital divide. Overall, EGDI in Southeast Asia reflects different levels of digital transformation in the region, with each country facing its distinct set of difficulties and opportunities when it comes to leveraging technology for better governance and public service delivery.

This study explores the dynamic relationship between ethical human resources management (HRM) strategies, the level of commitment an employee feels towards their organization, and their job performance, paying particular attention to how employees’ perceptions of the support they receive from their organization can influence these interactions, especially during challenging times. Drawing on a sample of full-time non-executive Indonesian employees, the research employs descriptive statistics for initial data analysis, followed by structural equation modeling (SEM) to test the proposed hypotheses rigorously. The investigation reveals a positive relationship between ethical HRM and employee performance (EP) and organizational commitment (OC). Additionally, OC emerges as a pivotal mediator in the ethical HRM-EP link. Notably, employees’ organizational support perception (EOSP), often assumed to enhance positive organizational outcomes, displays a surprising negative moderating effect when combined with OC, suggesting a more intricate relationship than traditionally posited. These findings enhance our comprehension of how ethical HRM practices function in times of crisis, questioning conventional beliefs regarding the influence of organizational support. The study’s methodological approach, combining descriptive and advanced statistical analyses, provides a robust framework for understanding these complex relationships. This research holds significant implications for HRM practices, particularly in crisis response and management, indicating a need for nuanced support strategies that reflect the complexity of employee-organization dynamics.

Indonesia, as a maritime country, has many coastal areas with fishing villages that have significant potential, especially in sociological, economic, and environmental aspects, to be developed as models for sustainable development. Indonesia, with its long-standing fishing traditions, showcases the abundant potential and traditional that could help address global challenges such as climate change, rapid urbanization, and environmental and economic issues. This study aims to develop a conceptual model for sustainable cities and communities based on local potential and Wisdom towards the establishment of a Blue Village in the fishing village of Mundu Pesisir, Cirebon, Indonesia. The urgency of this study lies in the importance of developing sustainable strategies to address these challenges in coastal towns. This study involves an interdisciplinary team, including experts in sociology, social welfare, architecture, law, economics, and information technology. Through the identification of local natural and sociocultural resources, as well as the formulation of sustainable development strategies, this study develops a conceptual Blue Village model that can be applied to other coastal villages. The method employed in this study is qualitative descriptive, involving the steps of conducting a literature review, analyzing local potential, organizing focus group discussions, conducting interviews, and finalizing the conceptual model. The study employed, a purposive sampling technique, involving 110 participants. The results of the study include the modeling of a sustainable city and community development based on local potential and Wisdom aimed at creating Blue Villages in Indonesia, and It is expected to make a significant contribution to the creation of competitive and sustainable coastal areas capable of addressing the challenges of climate change and socioeconomic dynamics in the future.

We report on the measurement of the response of Rhodamine 6G (R6G) dye to enhanced local surface plasmon resonance (LSPR) using a plasmonic-active nanostructured thin gold film (PANTF) sensor. This sensor features an active area of approximately ≈ 2.5 × 10¹³ nm² and is immobilized with gold nanourchins (GNU) on a thin gold film substrate (TGFS). The hexane-functionalized TGFS was immobilized with a 90 nm diameter GNU via the strong sulfhydryl group (SH) thiol bond and excited by a 637 nm Raman probe. To collect both Raman and SERS spectra, 10 μL of R6G was used at concentrations of 1 μM (6 × 10¹² molecules) and 10 mM (600 × 10¹⁴ molecules), respectively. FT-NIR showed a higher reflectivity of PANTF than TGFS. SERS was performed three times at three different laser powers for TGFS and PANTF with R6G. Two PANTF substrates were prepared at different GNU incubation times of 10 and 60 min for the purpose of comparison. The code for processing the data was written in Python. The data was filtered using the filtfilt filter from scipy.signals, and baseline corrected using the Improved Asymmetric Least Squares (ISALS) function from the pybaselines.Whittaker library. The results were then normalized using the minmax_scale function from sklearn.preprocessing. Atomic force microscopy (AFM) was used to capture the topography of the substrates. Signals exhibited a stochastic fluctuation in intensity and shape. An average corresponding enhancement factor (EF) of 0.3 × 10⁵ and 0.14 × 10⁵ was determinedforPANTFincubated at 10 and 60 min, respectively.

The aim of this paper is to introduce a research project dedicated to identifying gaps in green skills by using the labor market intelligence. Labor Market Intelligence (LMI). The method is primarily descriptive and conceptual, as the authors of this paper intend to develop a theoretical background and justify the planned research using Natural Language Processing (NLP) techniques. This research highlights the role of LMI as a tool for analysis of the green skills gaps and related imbalances. Due to the growing demand for eco-friendly solutions, there arises a need for the identification of green skills. As societies shift towards eco-friendly economic models, changes lead to emerging skill gaps. This study provides an alternative approach for identification of these gaps based on analysis of online job vacancies and online profiles of job seekers. These gaps are contextualized within roles that businesses find difficult to fill due to a lack of requisite green skills. The idea of skill intelligence is to blend various sources of information in order to overcome the information gap related to the identification of supply side factors, demand side factors and their interactions. The outcomes emphasize the urgency of policy interventions, especially in anticipating roles emerging from the green transition, necessitating educational reforms. As the green movement redefines the economy, proactive strategies to bridge green skill gaps are essential. This research offers a blueprint for policymakers and educators to bolster the workforce in readiness for a sustainable future. This article proposes a solution to the quantitative and qualitative mismatches in the green labor market.