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This study aims to compare and analyze the accuracy levels of four financial distress prediction models—Altman Z-Score, Springate, Grover, and Zmijewski—in anticipating the potential bankruptcy of companies subjected to delisting from the Indonesian Stock Exchange (IDX). The delisting phenomenon, which is strongly linked to severe financial deterioration, provided the core motivation for identifying the most reliable predictive instrument, utilizing secondary data from the annual financial reports of delisted companies during the 2019-2023 observation period. Descriptive analysis techniques were employed to calculate the accuracy rate and Type Error for each model. The comparative results consistently indicate that the Springate Model is the most effective, consistent, and accurate model for predicting financial distress in delisted firms, achieving an accuracy rate of 89% in both the first and second years prior to delisting, while the Altman Z-Score model exhibited lower accuracy (68.75% and 62.50%). This key finding emphasizes the superiority of the Springate Model as a crucial diagnostic tool for investors and regulatory bodies in assessing corporate bankruptcy risk.

Islamic law faces significant challenges from the rapid advancements in bioethics and artificial intelligence (AI). The current responsive approach, based on ad-hoc fatwas, is deemed inadequate to address the systemic ethical dilemmas posed by these disruptive technologies. This research aims to propose a proactive and systematic ijtihad framework capable of anticipating and guiding technological innovation to align with the higher objectives of Shari'ah (Maqasid al-Shari'ah). Using a qualitative, library-based method with a juridical-normative and philosophical approach, this study analyzes primary and secondary Islamic legal sources through the Maqasid al-Shari'ah theoretical framework. The research finds the current model to be limited and, as a solution, offers a novelty in the form of the Hierarchical Model of Technological Ijtihad (HI-Tech). This model is a structured, interdisciplinary reasoning process, supported by a proposed institution, the Bio-Artificial Ijtihad Council (MIBA), and a digital platform, "Nur-Fatwa," for dissemination. The implication of these findings is the need for a paradigm shift for Islamic legal institutions towards an anticipatory, interdisciplinary, and institutionalized approach to address contemporary technological issues, thereby ensuring the continued relevance of Islamic law.

The fisheries sector plays a vital role in the national economy and represents a significant potential source of foreign exchange. The development of this sector must be strategically designed to address future challenges, which include anticipating changes in both production and consumer systems (markets), as well as shifts in resource potential. This study aims to identify and analyze effective business development strategies for UMKM Bandeng Sultan to expand its market reach. The research methodology includes both primary and secondary data collection through interviews and field observations, analyzed qualitatively using a descriptive approach. Data were collected directly from interviews and on-site observations to gain relevant insights into the current conditions of the Bandeng Sultan business. The results indicate that the SWOT coordinate score (0.6: 0.57) places the business in a favorable position, supporting the adoption of an aggressive growth strategy. Recommended strategic actions include enhancing digital and e-commerce marketing, expanding into the Java market and exploring export opportunities, diversifying product offerings and innovating flavor varieties, as well as improving product quality and hygiene standards. These findings demonstrate that UMKM Bandeng Sultan possesses strong internal capabilities and promising external opportunities for growth. Therefore, the implementation of aggressive strategies was considered appropriate to increase competitiveness and ensure long-term business sustainability in a highly competitive market environment.

The concept of market orientation is an important cornerstone in modern marketing strategies, where companies not only focus on a deep understanding of customer needs, but also actively monitor competitors and maintain internal coordination between departments. Jaworski and Kohli (1993) emphasized that market orientation is one of the key factors that can affect a company's performance. Through the use of market information, companies can adjust their business strategies to meet current customer needs while anticipating future needs. A strong market orientation is believed to be able to make a significant contribution to increasing the company's competitiveness in the long term. However, if market orientation is based solely on materialistic goals and worldly gains, then the value of sustainability and societal well-being is often overlooked. From an Islamic perspective, market orientation needs to be based on sharia values, especially the principle of maslahah. This concept emphasizes that every business activity must bring benefits, avoid harm, and be in harmony with maqasid al-shariah, which is to protect religion, soul, intellect, descent, and property. Thus, market orientation is not only directed at the fulfillment of customer satisfaction and competitive advantage, but also at the achievement of blessings and social welfare. The integration of maslahah values in market orientation gives birth to the concept of Maslahah Market Responsiveness, which is the ability of companies to respond quickly and appropriately to market dynamics while still being based on ethics and social responsibility. This is an advantage in itself because it not only improves marketing performance, but also strengthens the company's image as a trustworthy and ethical entity. By combining conventional market orientation and sharia values, companies can build a sustainable competitive advantage, increase customer satisfaction, and make a positive contribution to society at large.

The development of AI has fundamentally transformed the professional ecosystem, creating a series of contemporary challenges for Generation Z preparing to enter the work arena. This study focuses on the development of motion graphic storyboards as an educational instrument to enhance Generation Z's employability capabilities for the AI era. Implementing a hybrid research methodology, data collection was conducted through digital surveys and in-depth dialog with experts to explore perceptions on the implications of AI on employment and the strategic competencies needed to adapt. The research findings indicate that Generation Z shows substantial awareness of the urgency of skills upgrading and transfer, although there is still a lack of clarity in understanding the concrete consequences of AI on future employment prospects. The motion graphic design developed presents an adaptive approach through an engaging storyline, narrative visualization, and interactive character elements, with an emphasis on the concepts of T-Shaped Skills and Transferable Skills. The research concludes that professional readiness in the era of AI digitalization requires not only technological understanding, but also adaptive flexibility, creativity, and synergy between human capacity and digital systems. Motion graphics were identified as the optimal medium to convey knowledge and strengthen Generation Z's position in anticipating future professional dynamics.

This research explores how several monetary policy and commodities market influence the movement of the Indonesia Composite Index (IHSG). Monetary policy is a set of actions taken by the central bank to regulate the currency and the economy, variable proxy is Rupiah Exchange Rate (Jisdor) and Indonesia Overnight Index Average (indONIA). Commodity markets are places where commodities are traded in physical or futures, the needs of the world still depend on certain commodities so that commodity prices can be related to economic conditions, variable proxy of comodities market is Gold, Crude Oil WTI, Coal Newcastle. Indonesia Composite Index is a index that reflects the price movements of all stocks listed on the Indonesia Stock Exchange. The study analyzes monthly data from January 2019 to December 2023, a period before the global disruption of the COVID-19 pandemic, the period during the pandemic and the gradual economic rebound that followed. Using multiple linear regression analysis, the study assesses the direction and statistical relevance of each variable’s effect on the Indonesia Composite Index. The results suggest that Indonesia Overnight Index Average and Crude Oil WTI prices have a significant positive impact on the index, the Rupiah Exchange Rate has a significant negative impact on the index, while Gold and Coal Newcastle have no significant impact on the index. These findings can serve as a useful reference for both investors and policymakers in understanding and anticipating movements in Indonesia’s capital market, especially in relation to monetary policy and global commodity trends.

Trade wars and protectionism have again become major issues in global economic dynamics, especially since trade tensions between the United States and China began in 2018. This research aims to analyze tariff policy as part of a protectionist strategy in the context of the political economy of bilateral trade relations. Using a qualitative approach with case studies and document analysis, data were obtained from policy reports, scientific journals, and trade statistics. The results show that tariff policies are often not purely based on economic considerations, but are also influenced by domestic political interests, industry group pressure, and global negotiation strategies. On the other hand, these policies have a significant impact on the structure of bilateral trade relations, trade volume, and global supply chains. Indonesia as a partner country is also affected, both directly through changes in export-import values, and indirectly through supply and investment disruptions. Policy implications show the importance of developing countries' preparedness in anticipating changes in global trade policies and encouraging the formulation of adaptive and competitive national strategies. This study provides recommendations for policymakers to balance national interests with global dynamics.

The purpose of the study was to analyze the effectiveness of P4K with the innovation of the Dora Backpack to anticipate pregnancy risk in pregnant women in the working area of the Mantup Health Center in Lamongan Regency.This type of research is quasi-experimental with Post-test Only Control Group Design. The population of this study were pregnant women in the third trimester in the work area of the Mantup Health Center and Tikung Health Center totaling 262 pregnant women. The sampling technique is purposive sampling. The number of samples was 176 pregnant women, consisting of 88 control pregnant women and 88 intervention pregnant women. Univariate data analysis with frequency distribution table, bivariate analysis with Mann Withney and Logistic Regression. Based on the results of the Mann Withney test in the control and intervention groups, ap value of 0.000 means that P4K with the Si Dora Backpack Innovation is effective in increasing the ability of pregnant women to anticipate the risk of pregnancy and based on the results of the Logistics Regression test, external variables do not affect the ability to anticipate pregnancy risk factors, namely age with p value 0.341, education with p value 0.587, and occupation with p value 0.631. P4K With Si Dora's Backpack Innovation is effective in increasing the ability of pregnant women to anticipate the risk of pregnancy.

The development of drone technology and artificial intelligence (AI) has presented great opportunities in various sectors, but at the same time opened up new loopholes for potential terrorist attacks. This article analyzes the shift in terrorism attack strategies from traditional manual methods to the use of drone-based autonomous systems and AI. Through a descriptive qualitative approach and literature review, this study explores how this technology is used to improve the effectiveness, anonymity, and scale of attacks. The study also discusses threats arising from AI-based drone swarm capabilities, potential cyberattacks on drone systems, and global regulatory lags in anticipating these threats. In addition, this article offers policy recommendations to strengthen national defense systems against the increasingly complex and automated evolution of terrorism threats. These findings are expected to be an early contribution to the development of counter-terrorism strategies that are adaptive to technological advances.

Laboratories play a crucial role in ensuring patient safety, with approximately 80–90% of clinical diagnoses relying on laboratory test results. Despite their importance, laboratory errors are reported to occur in about 0.012% to 0.6% of all tests conducted. Patient safety is fundamentally a managerial responsibility that can be improved through the implementation of robust systems aimed at detecting and addressing quality deficiencies. A reactive approach to this involves incident reporting followed by root cause analysis, which helps uncover and rectify weaknesses in existing policies and procedures. Alternatively, a proactive strategy such as Failure Mode and Effects Analysis (FMEA) focuses on evaluating the entire testing process, anticipating potential adverse events, and taking preventive measures before such issues arise. This method is particularly effective for prospective risk assessment in high-risk procedures, thereby minimizing the likelihood of errors within laboratories and other areas of patient care.

This study aims to explore the values of Pancasila, specifically the 3rd principle (Unity of Indonesia), in maintaining and anticipating unity and integrity within the national territory in the era of globalization. Unity and integrity are closely related to human resources with a Pancasila-oriented character, emphasizing peaceful approaches, mutual respect, understanding, and appreciation of cultural diversity to foster a sense of family and kinship. The findings of this study reveal that Pancasila, particularly the 3rd principle, has provided a strong bond of unity and integrity amidst societal changes in the globalization era. Pancasila serves as a source of strength, guiding Indonesia toward a golden era as a dignified nation within the global civilization. It functions as a pillar of life across various sectors such as social, economic, political, cultural, and defense, steering the nation toward a Pancasila-characterized Republic of Indonesia (NKRI) to achieve a prosperous and advanced Indonesia.