The trilateral defense and security pact between Australia, the United Kingdom, and the United States has strong impact to the security dynamics in the Indo-Pacific area. This agreement entails a strengthened alliance between Australia and enhanced military collaboration with the United States and the United Kingdom resulting in regional volatility. This paper aims to examine the AUKUS (Australia–United Kingdom–United States Partnership) agreement and the resulting ensuing instability in the Indo-Pacific region, specifically from Indonesia’s perspective. The focus of the research is on the interplay between Indonesia’s diplomacy capability and the military functions of the Indonesian Navy as security policy. This study employs a qualitative approach to delve into in-depth insights into the evolution of AUKUS in the Indo-Pacific region, which triggered a series of responses from many countries subsequent to the announcement of the establishment of the AUKUS Defense Pact. The AUKUS establishment simply reinforces the notion that geopolitical tensions are pulling the area apart. The influence of the AUKUS-China war can jeopardize regional stability since the US and China continuously demonstrate the supremacy of their armaments in order to dissuade one another. The AUKUS-China contest has had a highly adverse impact on Indonesia. This article argues that the Indonesian Navy’s diplomatic prowess is crucial because it has the potential to play a big influence in the Indo-Pacific region’s international political dynamics concerning the South China Sea. Furthermore, the Indonesian Navy must proactively prepare for potential armed conflicts in Indonesian territorial seas by developing a comprehensive maritime policy during times of peace, leveraging its geographical advantages.

This study evaluates the aquafeed self-sufficiency sector in Indonesia, aiming to provide policy recommendations for optimizing freshwater aquaculture production. The study engaged 1005 participants, including 204 self-sufficient aquafeed producers and 801 fish farmers, covering 88% of the regions where the Ministry of Marine Affairs and Fisheries promotes aquafeed self-sufficiency, conducted in 30 Indonesian provinces. The majority of on-farm and small-scale feed manufacturers continue to operate successfully (91%), with a minor portion discontinuing (9%). Aquafeed products incorporating local ingredients prove cost-effective and receive high acceptance among fish farmers. The sustainability of the aquafeed self-sufficiency sector is closely linked to local ingredient availability, operational aquafeed manufacturing plants, product quality, human resource capabilities, and government policies. The study presents policy recommendations to address these issues, encompassing measures such as ensuring ingredient supply sustainability, providing a mobile laboratory for ingredient and feed analysis, enhancing human resource quality through training, facilitating easier access to financial support, and strengthening central-local government coordination to optimize the aquafeed self-sufficiency program. The rise of the national fish production target from freshwater aquaculture has attracted great attention in the improvement of the aquafeed sector since the sustainability of aquafeed supply is the main driver for the success of aquaculture production.

Amidst an upsurge in the quantity of delinquent loans, the financial industry is experiencing a fundamental transformation in the approaches utilised for debt recovery. The debt collection process is presently undergoing automation and improvement through the utilisation of Artificial Intelligence (AI), an emergent technology that holds the potential to revolutionise this sector. By leveraging machine learning, natural language processing, and predictive analytics, automated debt recovery systems analyse vast quantities of data, generate forecasts regarding the likelihood of recovery, and streamline operational processes. Debt collection systems powered by AI are anticipated to be compliant, precise, and effective. On the other hand, conventional approaches are linked to increasing expenditures and inefficiencies in operations. These solutions facilitate efficient resource allocation, customised communication, and rapid data analysis, all while minimising the need for human intervention. Significant progress has been made in data analytics, predictive modelling, and decision-making through the application of artificial intelligence (AI) in debt recovery; this has the potential to revolutionize the financial sector’s approach to debt management. The findings of the research underscore the criticality of artificial intelligence (AI) in attaining efficacy and precision, in addition to the imperative of a data-centric framework to fundamentally reshape approaches to debt collection. In conclusion, artificial intelligence possesses the capacity to profoundly transform the existing approaches utilized in debt management, thereby guaranteeing financial institutions’ sustained profitability and efficacy. The application of machine learning methodologies, including predictive modelling and logistic regression, signifies the potential of the system.

This study explores the determinants of auditor performance, focusing on the moderating role of organizational commitment within the Tangerang City Inspectorate. Employing stratified random sampling, a sample of 250 auditors was chosen to ensure diversity across experience, departmental affiliation, and roles. Quantitative analysis used SPSS to examine the relationships between auditor performance, organizational commitment, and other relevant variables. Findings indicated that organizational commitment significantly moderates the effects of various social pressures on auditor performance. This underscores the necessity for auditing organizations to foster organizational commitment to enhance auditor efficacy and uphold ethical standards. These results hold substantial implications for governance and audit quality assurance, suggesting that reinforced organizational commitment could lead to more robust auditor performance and ethical conduct within similar urban governance settings. This study contributes valuable insights into the influence of organizational dynamics on auditor behaviour and performance outcomes.

The issue of academic achievement among Chinese university students is emerging due to difficulties in finding employment. This study investigates the structural relationships between social support, goal orientation, and academic achievement with the aim of enhancing students’ academic performance and facilitating sustained employability. Data were collected from 202 college students in South China, revealing that students’ levels of social support, goal orientation, and academic achievement were all moderate. Lower-grade students, in comparison to higher-grade students, exhibited lower levels of social support, goal orientation, and academic achievement. Additionally, students from lower economic backgrounds tended to lack social support. Among the factors of social support, goal orientation, and academic achievement, there were positive correlations among these three variables. Social support significantly and positively influenced goal orientation and academic achievement. Specifically, the sub-factors of social support, school support, and teacher support had differential effects, with school support enhancing academic achievement and teacher support boosting goal orientation. Goal orientation also significantly and positively impacted students’ academic achievement, with the sub-factor of mastery goals having a stronger influence. Goal orientation partially mediated the relationship between social support and academic achievement. This study discusses limitations and provides insights for future research.

The utilization of digital tools in agricultural extension has facilitated information delivery through non-face-to-face interactions. Therefore, this study aimed to map the variation in digital tools used by agricultural extension workers to access and deliver information and analyse the outcomes of farmers’ adoption. Data were collected through in-depth interviews with agricultural extension workers at 11 Agricultural Extension Centers. The data were processed using the N-Vivo qualitative data analysis software. The results showed that extension workers combined various digital tools as sources of extension materials and channels for delivering information to farmers. Although social interaction between agricultural extension workers and farmers occurred non-face-to-face, messages could be adopted by farmers and yield tangible outcomes. This was reflected in the asynchronous communication, allowing extension workers sufficient time to improve the quality of the delivered messages. Farmers also had sufficient time to review the received information content in this context repeatedly. These results implied that although extension content is delivered through non-face-to-face interaction, it can still drive adoption with significant outcomes.

Currently, numerous companies intend to adopt digital transformation, seeking agility in their methodologies to reinvent products and services with higher quality, reduced costs and in shorter times. In the Peruvian context, the implementation of this transformation represents a significant challenge due to scarcity of resources, lack of experience and resistance to change. The objective of this research is to propose a digital transformation model that incorporates agile methodologies in order to improve production and competitiveness in manufacturing organizations. In methodological terms, the hypothetical deductive method was used, with a non-experimental cross-sectional design and a quantitative, descriptive and correlational approach. A questionnaire was applied to 110 managers in the manufacturing sector, obtaining a Cronbach’s alpha coefficient of 0.992. The results reveal that 65% of the participants consider that the level of innovation is regular, 88% think that the competition in their companies is of a regular level, and 76% perceive that the level of change is deficient. The findings highlight the importance of digital transformation in manufacturing companies, highlighting the adoption of agile methodologies as crucial to improving processes and productivity. In addition, innovation is essential to developing high-quality products and services, reducing costs and time. Digital transformation with agile methodologies redefines the value proposition, focusing on the customer and improving their digital experience, which differentiates companies in a competitive market.