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This study aims to analyze the prediction of financial distress using the Altman Z-Score, Springate, and Zmijewski methods at PT Sri Rejeki Isman Tbk in 2019-2023. This type of research is descriptive research with a quantitative approach. Using secondary data with documentation techniques and literature studies in the form of related company financial reports, books, articles, journals and other publications related to the research topic. The sampling technique was carried out using a purposive sampling method. The sample in this study was obtained using a purposive sampling technique and obtained as many as 5 financial reports from the company PT Sri Rejeki Isman Tbk for the period 2019-2023. The results of the study show that the results of calculations using the Altman Z-Score method indicate that in 2019-2023 PT Sri Rejeki Isman Tbk experienced fluctuations in the company consistently still in the category of bankruptcy, the Springate method shows that the company experienced a decline in its financial performance, and the Zmijewski method shows that companies that experience fluctuations in financial performance conditions, Although there are fluctuations in the X-Score value and improvements in certain years.

Organizational fraud represents a significant global challenge, with estimated annual losses of 5% of revenue, totaling approximately US$4.7 trillion worldwide. This systematic literature review examines whistleblowing effectiveness as a fraud detection mechanism, analyzing the tension between its role as a transparency pillar and the retaliatory risks faced by whistleblowers. The study employed a qualitative Systematic Literature Review methodology, analyzing 25 peer-reviewed articles published between 2020-2025 from SINTA, Scopus, and registered E-ISSN journals. Literature was selected using keywords related to whistleblowing effectiveness, fraud detection, transparency mechanisms, and retaliation risk. Results demonstrate that whistleblowing systems significantly enhance fraud detection and prevention across both public and private sectors, with 24 of 25 reviewed studies confirming positive impacts. Effectiveness is influenced by individual attitudes, perceived behavioral control, organizational commitment, professional commitment, moral reasoning, and organizational culture. The integration of whistleblowing with forensic and investigative audit mechanisms creates a mutually reinforcing fraud detection framework. However, retaliation risk remains a substantial challenge, potentially undermining whistleblowing effectiveness. The study concludes that organizations must develop comprehensive whistleblower protection frameworks, cultivate supportive organizational cultures, ensure transparent report handling processes, and leverage technology to guarantee anonymity. A balanced approach between promoting transparency through whistleblowing and protecting whistleblowers from retaliation is essential for maximizing fraud detection effectiveness. Organizations are advised to integrate whistleblowing into comprehensive anti-fraud strategies with adequate protection mechanisms and whistleblower incentives.

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.

Poverty is a complex and ongoing social problem that requires an integrated and sustainable approach. The problem of poverty impacts various aspects of people's lives, so it is important to overcome the problem of poverty. The aim of this research is to describe public policy strategies in overcoming poverty. The research approach used is a qualitative approach with the data used in the form of secondary data sourced from documents, Central Statistics Agency (BPS), research journals, articles and relevant sources. The data analysis technique is inductive based on the data obtained, then analyzed in relation to public policy strategies in overcoming poverty. The results of this research show that public policy strategies have been successful and effective in reducing poverty levels through the leadership policies of Joko Widodo and Jusuf Kalla including the Prosperous Family Savings Program (SKS), the Smart Indonesia Program (PIP), the Healthy Indonesia Program, then during Joko's leadership period Widodo and Ma'ruf Amin with the Direct Cash Assistance (BLT) program.

In this era of globalization, marketing is more of an information warfare between different parties with the aim of making sales. The marketing environment is rapidly changing, and with these changes, the need for information, latest products, shifts in buyer attitudes and behaviors towards decision-making and product acquisition, as well as the ability to identify opportunities in appropriate marketing, becomes essential. This paper is a literature review using a qualitative descriptive approach, aiming to describe product mix strategies. The methodology employed for data collection is documentation, along with various articles and books, followed by content analysis. The findings of this paper reveal that studying consumers can provide insights for the development of new products, product uniqueness, pricing, distribution channels, advertising messages, and other new marketing elements. A focal point for understanding behavior is the stimulus-response model. Buyer characteristics and decision-making processes lead to specific buyer decisions. The marketing task involves comprehending what occurs in the buyer’s consciousness from external stimuli to the emergence of the buyer's purchasing decision.

The research objective is to understand or observe how labor wages are according to several hadith economic theories. The descriptive study of the writing methodology used in this publication uses a qualitative approach with the aim of providing a clear overall picture of an event. The data collection method used was a literature review. Part of the literature review is research processing, reading and taking notes, and using data collection techniques. Reliable sources, journals, articles and other sources. These data include secondary data from various books, depending on the type. Due to differences in talent and ability, Islamic economics recognizes that wages are paid by those who cause material results to vary. Due to the difference in talent and ability, Islamic economics recognizes that wages are paid by, which causes different material results. Theoretically, wages are the prime mover of human labour

The presence of workers in the company is dominated by executives. They often have conflicting interests for the company's activities. In order to help workers' positions remain relevant and recognized, workers need a Labor Union. In an industrial environment, it is normal for disputes to occur and the role of trade unions is needed to mediate the interests of both. Therefore, the expected goals are to explain the role of trade unions to address industrial relations disputes and the efforts that they attempt. This study determines literature review as the method by accumulating journals and collecting eight articles that meet the criteria. After having reference materials, the researcher will analyze the data based on a collection of these studies which the researcher will generalize into a literature review paper. The results of this research are that trade unions act as assistants, bodyguards, representatives, supervisors, and mediators and prioritize the settlement of disputes internally and amicably. Efforts made by trade unions include carrying out bipartite and tripartite negotiations consisting of mediation, arbitration and conciliation, as well as the industrial relations court, submitting a letter of application for Judicial Review to the Constitutional Court, and honing the skills of trade union members.

Abstract. National economic development and regional economic development are two very closely related matters. This study aims to analyze the economic structure and specialization of the economic sector so that it can determine the main sectors, groups that are classified as advanced and sectors that are classified as slow and analyze the competitiveness of each sector in North Sumatra Province. This study uses the Shift Share analysis method. The data used in this study is secondary data in the 2017-2021 interval. The data used is secondary data, namely data obtained from records, books and journals in the form of financial reports for company publications, government reports, articles, books such as theories, journals, etc. The results of this study are expected to be an academic foundation for development in the North Sumatra area.