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The continuing decline in coastal water quality due to anthropogenic activities and climate change calls for more effective monitoring and prediction. This study examines trends in the use of artificial intelligence (AI) in modeling coastal water quality through bibliometric analysis and a systematic review of 30 selected publications. Methods include standardized literature searches, screening of relevant documents, bibliometric analysis, and data extraction for systematic review. Results show a significant increase in publications since 2020, dominance of machine learning algorithms such as random forest, SVM, and CNN, and application across various water quality parameters (e.g., chlorophyll-a, dissolved solids, E. coli bacteria). The co-author network revealed leading research groups (e.g., Uddin et al.) and international collaborations. The keyword network highlighted a focus on “water quality,” “machine learning,” “coastal waters,” and “remote sensing.” From the systematic review, AI-based models have proven capable of predicting water quality parameters with high accuracy (e.g., R² ≈ 0.88 for chlorophyll-a; Chen et al., 2024), but there are gaps in AI application (e.g., limited studies integrating deep learning with biological data, dataset constraints, and the need for models that can explain their results). In conclusion, AI research for coastal water quality is developing rapidly but still requires further development, particularly in the integration of multivariate data and model interpretability aspects.

The dynamics of central government funding to regions depend on local investments. In regional autonomy, local governments are encouraged to be more self-reliant from the central government. For regions with high natural resource yields, they will not encounter difficulties in meeting their fiscal needs. Community welfare can be realized through fulfilling basic needs, one of which is infrastructure development. High-quality infrastructure will be able to contribute to further progress in trade, thus enhancing production efficiency. The objective of this research is to analyze the extent of the influence of central government transfer funds, especially the Natural Resource Revenue Sharing Funds (DBH SDA), on local government investments in infrastructure across 508 districts/cities in Indonesia. The method used is dynamic panel regression using the Generalized Method of Moment (GMM) Arellano-Bond approach. This study finds that the role of DBH SDA is still low in infrastructure spending. The role of the central government remains significant in determining infrastructure spending at the district/city level in Indonesia. This indicates that local governments rely more on other sectors in infrastructure investment. By enhancing the role of DBH SDA through technological advancements, it is hoped that the market value of natural resources can be higher through resource downstreaming. This strategy will have broader impacts, as labor needs can be absorbed not only in raw material production activities but also in the processing technology sector. Furthermore, the utilization of natural resources with modern technology can increase extraction efficiency, support sustainable development, and minimize environmental impacts.

This study aims to identify the factors influencing textile and garment SMEs’ intentions to adopt digital technology. A survey of owners of textile and garment SMEs respondents was conducted to explore the determinants that shape SMEs’ decisions to adopt digital technology using the Unified Theory of Acceptance and Use of Technology (UTAUT), which was extended with six additional variables: trust and perceived risk for internal of SMEs, competitive pressure and government support for external of SMEs, and non-financial and financial performance for the impact of digital technology on SMEs business. The findings indicate a significant influence of performance expectancy, effort expectancy, trust, government support, and competitive pressure on digital technology adoption by textile and garment SMEs. Then, facilitating condition and behavioural intention significantly influence actual behavior to use, impacting both financial and non-financial performance. The study’s findings provide vital insights for owners of SMEs and government (policymakers) for the successful adoption of digital technology. The integration of digital technologies requires specialized skills. Governments and industry associations can implement training programs to equip workers with the necessary skills for operating digital machinery and managing digital systems.

This study is intended to analyse the current levels of financial depth and financial access in Indonesia and to analyse the factors affecting them. The analysis method used was a combination of descriptive quantitative, benchmarking, and literature reviews. The conclusion is that the financial depth in Indonesia has not shown a satisfactory level since it was the lowest, or the second lowest ranked country among the sampled countries. Meanwhile, the financial access in Indonesia is relatively better than its financial depth, especially for financial markets, in which Indonesia ranks in the lower average group. From literature reviews, it can be inferred that the main factor driving the poor financial depth in Indonesia is non-competitiveness of the institutions; whereas the driving force of poor financial access in Indonesia are geographical constraints, poverty, a high income gap, and a less than effective national financial development policy.

Food security as an indicator of macroeconomic stability. Food security in a region is a fundamental foundation of the country’s economic security and one of the most important prerequisites for sustainable development. This study aimed to analyze the correlation in between food strategy nexus through food availability, food affordability, and food utilization to food security in Indonesia, particularly in East Kalimantan Province. Method of this research is correlation analysis. Highlight of the result analysis are all indicators of food security nexus have a correlation significantly.

In today’s competition-driven world, competitive advantage is the only way for an organization to survive. There are various ways to gain a competitive edge through the application of knowledge, technology, and science. Indonesian public research and development (R&D) faces numerous challenges, one of which is researchers’ low productivity in terms of international journal publications. To boost research productivity and performance, efforts must be made to streamline knowledge flows within public R&D institutions. Additionally, data from dynamic information flows in networks can be used to evaluate bureaucratic effectiveness and identify potential knowledge talents or actors within R&D organizations. The purpose of this study is to determine the role of managers at all levels in a public R&D organization in coordinating information flow through knowledge networks and bureaucratic relationships. The social network analysis (SNA) technique was used to map managers’ role in aligning knowledge flows in an Indonesian public R&D organization. Individuals were classified according to their type and centrality in the network, and network metrics such as “degree of centrality,” “eigenvector centrality,” and “clustering coefficient” were determined. It was found that the organization has some issues with knowledge flows and power distribution. The two distinct knowledge flow patterns, one for knowledge-seeking and the other for administrative knowledge, do not appear to be synchronized. The director of the R&D center is assumed to be less influential than the top manager in terms of knowledge and bureaucratic influence. At the managerial level, clique tendency is lower, while it is higher at the nonmanagerial level. Such centralization and cliques are dangerous because managing knowledge cannot be handled by a single person in a knowledge-intensive organization such as an R&D institution. Additionally, it was discovered that middle managers are critical for knowledge-seeking purposes, whereas administrative managers dominate the bureaucratic role. The research implications are dependent on deciphering the complexities of knowledge flows among employees and the variables that influence the knowledge-transfer process within an organization. This issue will exacerbate the problem by decreasing productivity and increasing reliance on a small number of people. Additional research is required to generalize the findings to other Indonesian R&D institutions.

The Indonesian government is now seriously exploring in depth the proposed tax imposition for e-commerce. In this context, this paper will discuss the following issues: the first, if Indonesian government should impose the tax on e-commerce; the second, how much the potential tax revenue from e-commerce is; and the third, how Indonesian fiscal policy perspective views e-commerce taxation. The study in this paper adopts a descriptive analytical research method. The study concludes several points. Indonesia should tax its e-commerce. The total potential tax revenue on e-commerce from VAT and income tax in 2018 ranges from almost Rp11.75 trillion to Rp16.64 trillion, with VAT dominates the contribution up to more than 90% of the total tax revenue. By not levying the tax in the year means Indonesian government will lose a partial or the most of tax revenue. The revenue loss is potentially getting bigger in the coming years if the government still fails to collect the tax. E-commerce taxation should not be strictly enforced in the beginning, yet more is emphasized on socialization and education actions. It is also intended to help the online platform to be compliant. Tax policy in e-commerce can be used for the purpose of regulating the economy, such as to control excessive online import purchasing.

A growing number of unimaginable cross-border start-up businesses have emerged in the ASEAN and global trade map, along with the development of communication and information technology that negates national borders.  The new sector-referred to as creative economy - requires and utilizes high specific knowledge, skills and creativity. With literature review and descriptive analysis method, this study aims to: firstly, analyze the prospects for Indonesian creative economic sector in the ASEAN market; secondly, analyze the competitiveness of Indonesia's creative economic sector in ASEAN and the world levels. By making comparison of the data in two periods (2002-2006 and 2014-2015 periods), it can be concluded that the average contribution of creative economy to Indonesian economy continues to increase. The increase goes to the added value, the sectoral contribution to GDP, the provision of employment, and the sectoral absorption of national labor. The prospect of Indonesian creative economy in the ASEAN market lies in the growth of potential customers from the middle class. The number of Indonesian middle class will continue to increase. By adopting and analyzing the output of the Global Creativity Index model, it can be concluded that the competitiveness of Indonesian creative economy in ASEAN and the world is still weak. The weak competitiveness is due to low technology index and talent index. However, based on the findings from previous studies in several regions in Indonesia, it appears that Indonesian people have great potential creativity to develop

Recently, several new FTAs/RTAs involving ASEAN developing countries have emerged with different services negotiation modalities, one of them is to adopt or migrate to negative list for scheduled commitments. The change surely brings concerns among ASEAN developing countries. This study is intended to first, analyse the pros and cons for ASEAN developing countries in migrating to negative list; secondly, to analyze various potential issues that ASEAN countries may encounter in migrating to negative list and how to address such issues. To reach the objectives, descriptive analysis method is adopted, relevant literature and FTA agreements are analyzed, and two series of Focus Group Discussions were held. Several potential issues are identified and probable solutions are provided in this study, with regard to protection for new services and new financial services, the transposition of GATS style positive list to negative list, template headnotes, consistency, safeguard, and foreign control.

In the globalization and ASEAN Economic Community era, the competitiveness of Indonesian industries to sell goods and services is facing more severe challenges. It is partly due to the low performance of Indonesian logistics sector, and one of the contributing factors to the unsatisfactory logistics is poor logistics infrastructure. In this regard, this paper has several research objectives. The first is to analyze the performance of Indonesia logistics infrastructure in the past decade. The second is to analyze Indonesian logistics infrastructure development with its relevant fiscal policy support and evaluate its short-term progress. The research method adopted in this study is descriptive analytical method. In comparison with other countries, especially ASEAN region, the performance of Indonesian logistics infrastructure over the past decade tends to be steadily incompetitive, below the average of ASEAN countries. It is found to be one of the prime determinants of the high logistics costs in Indonesia. The government serious attention and the consistency of its policy towards improving logistics infrastructure during the 2014-2019 period has been partially seen, but the program sustainability is required in subsequent periods. In the short term, a temporary evaluation until 2017 of the sea toll program integrated with the construction of logistics infrastructure shows a positive impact. The positive impact is indicated from the decreasing prices of basic necessities in the eastern region of Indonesia by 20%-40%, and the economic revival of Eastern Indonesia region due to currently cheaper transportation costs.