This study aims to determine what types of traditional accessories are worn by Batak Toba brides and grooms during weddings and pre-weddings and to determine the aesthetic value and symbolic meaning of each accessory. This study uses a qualitative method with a descriptive approach. The techniques used in data collection are library studies, observation, interviews, and documentation. Data analysis is carried out by data tabulation, data triangulation, and data interpretation, as well as drawing conclusions. Based on the results of the study, the traditional accessories worn by Batak Toba brides have various types, and the form or style of use depends on the region. Each traditional accessory has an aesthetic value that can be seen from its physical form that can be sensed, such as its unique and attractive shape, color and shape. Each traditional Batak Toba accessory also contains a symbolic meaning that symbolizes prayer, and the hopes of the family and bride in starting a new life.

The 2024 data breach incident at Indonesia's National Data Center (PDN) marked a major crisis in the governance of national cybersecurity. This study examines the causes, threats, proposed solutions, and the roles of both the government and the public in responding to such breaches. The research employs a literature review and media framing analysis, focusing on news coverage and government policy responses. Findings indicate that systemic vulnerabilities, inadequate infrastructure readiness, and human factors are the primary causes of the breach. The resulting threats include economic and social losses, a decline in public trust, and the risk of data misuse. Proposed solutions involve strengthening regulations, enhancing technical capacity, and increasing public awareness through education. The active participation of civil society and swift government response are critical to restoring trust and preventing similar incidents in the future.

This article discusses the importance of counselor ethics and competencies in the context of multicultural counseling in Indonesia. Counseling, as a professional service, requires an ethical relationship between counselor and client to support individual development. By upholding ethical values, counselors can understand and appreciate the cultural differences that exist, thus being able to provide inclusive and effective services. This research uses a qualitative method with a literature study to explore the function of ethics in multicultural counseling and the barriers faced. The results showed that multicultural awareness and ethical competence are necessary to overcome challenges in counseling practice.

This research looks at the role of the Administration and Staffing Subdivision in Improving the Quality of Performance of the DPRD Secretariat of Tanjungpinang City. This proves the importance of the sub-section that has duties in the field of administration and staffing. By using descriptive research through a qualitative approach, this research analyzes the roles of the staff or employees of the Administration and Staffing Subdivision. The purpose of this research is to find and analyze the roles of employees based on indicators of active roles, participation roles, and passive roles. The results showed that the role of the Administration and Personnel Subdivision was very optimal in improving the quality of performance of the Tanjungpinang City DPRD Secretariat. This can be seen from the Subdivision's ability to manage administration and staffing effectively, thus supporting the achievement of organizational goals. In addition, good coordination between sections and the implementation of a structured work system are also important factors in improving work efficiency and productivity.

The problem of this research is how the implementation of the management control system in TOSERBA MMTC and what strategies are carried out to improve competitiveness in TOSERBA MMTC. The purpose of this study is to determine how the implementation of the management control system in TOSERBA MMTC and to determine what strategies are carried out to improve competitiveness in TOSERBA MMTC. This research method uses a qualitative approach. The data analysis techniques used are data reduction, data presentation and drawing conclusions. The results of the study TOSERBA MMTC has implemented a structured management control system at three levels: strategic, operational, and financial. Strategic involves quarterly planning based on historical data; operational combines computerized information systems and a collaborative work culture; while finance applies tiered authorization and bottom-up budgeting, which has successfully reduced budget deviations by 22%. To improve competitiveness, MMTC carries a hyperlocal strategy by selling 45% local products, digital transformation such as WhatsApp Business and dynamic discount systems, and marketing through local social media and digital loyalty programs, which have proven effective in increasing sales and customer retention.

Centella asiatica (L) urban is a plant that has the potential to be a source of immunomodulatory agents because it contains several groups of active compounds, asiaticoside, madecassoside, madecassic acid and asiatic acid, which can act as anti-allergic, anti-inflammatory, and immunomodulators. This study aims to review relevant literature to summarize the immunomodulatory effects produced by Centella asiatica (L.) urban. This study used a literature review design involving 4 experimental study articles published in the last 10 years in the electronic databases  PubMed and ScienceDirect. The results of this study showed that C. asiatica has been shown to provide immunomodulatory effects through various mechanisms, including as an anti-inflammatory by decreasing nitrite production, PGE2 and TNF-?, reducing NF-?? activation, and inhibiting pro-inflammatory mediators induced by IFN-? and TNF-?, including IL-6 and COX-2. C. asiatica can also act as an antioxidant that inhibits ROS production, stimulates GSH, and binds free radicals. In addition, C. asiatica can also play a role in the adaptive immune response.

Instilling moral values in elementary school students presents its own challenges in the era of globalization, especially with the emergence of Generation Z, who have distinctive characteristics. This study aims to analyze the strategies employed by teachers in teaching moral education at the elementary level. A descriptive qualitative approach was applied by reviewing relevant literature sources. The findings reveal that teachers play a crucial role as role models and mentors in embedding Pancasila values through active learning, integrating moral values into the curriculum, and utilizing contextual learning media such as folklore rooted in local wisdom. Challenges encountered include environmental influences, limited resources, and students’ low awareness of the importance of morals. This study highlights the need for collaboration among schools, families, and communities, as well as continuous teacher competency development, to foster students with noble character, ethics, and readiness to contribute positively to the nation.

Purpose: The study is conducted to determine the factors that affect sustainable development goals (SDGs) in Indonesia listed companies with a green accounting approach. Three independent variables (ESG disclosure, environmental performance, and green accounting) were empirically tested to determine their relationships with sustainable development goals (SDGs).
Method: The data set covers 16 companies that are consistently listed on the Jakarta Islamic Index (JII) during the period 2020 - 2024, data source was collected with purposive sampling technique, and hypotheses were tested using an ordinary least square regression random effect model.
Findings: The results showed that ESG disclosure, environmental performance, and green accounting simultaneously affect sustainable development goals. Partially, ESG disclosure and environmental performance have a significant positive effect on sustainable development goals, while green accounting has no effect on sustainable development goals.
Novelty: This study brings us to a different point of view, explaining that achieving sustainable development goals from a green accounting perspective. According to the findings, stakeholders can use it in making business decisions, both by companies and governments. Further research can add the variable of company value to see the investor’s perspective in contribute achieving sustainable development goals.

Facial recognition, a branch of image processing, is widely used in attendance systems to improve efficiency and security. This study develops an employee attendance monitoring system that integrates facial recognition using the Eigenface algorithm in OpenCV. The system records each individual's facial data alongside a password, enabling automated attendance tracking. Testing results indicate that with a database of 10 facial entries, the system achieved 100% accuracy in recognizing individuals. However, as the database expanded beyond 10 entries, accuracy declined to 80%, influenced by factors such as lighting variations, differences in facial structures, and increased data volume. This study employed a Research and Development (R&D) methodology, with expert validation yielding a score of 3.4, categorizing the system as "Highly Valid." User testing with 11 participants resulted in an overall score of 36, classifying the system as "Very Good (Valid)." The findings highlight the potential of facial recognition in improving attendance management while minimizing fraudulent entries. Future research should focus on optimizing recognition accuracy in larger databases through refined preprocessing techniques, image quality adjustments, and deep learning models.

The implementation of Artificial Intelligence-based Decision Support Systems (AI-DSS) in recruitment has significantly enhanced efficiency; however, concerns regarding algorithmic bias persist. Existing AI-DSS models primarily emphasize explicit data, often neglecting psychological and behavioral factors essential for fair recruitment. This study integrates Person-Job Fit and Person-Organization Fit theories into AI-DSS while employing adaptive learning techniques to mitigate bias. Using a mixed- methods approach with an explanatory sequential design, this research combines quantitative analysis (statistical comparisons of AI-DSS and traditional hiring methods, bias evaluation using fairness metrics) with qualitative insights (interviews with HR professionals and candidates). The findings indicate that AI-DSS improves selection efficiency and candidate performance yet remains susceptible to biases derived from historical data. Adaptive learning enhances fairness; however, ethical concerns about transparency and accountability persist. This research strengthens the AI recruitment debate by suggesting a comprehensive model that balances the operational efficiency, ethical needs, and fair practices. Explaining AI paradigms requires additional research to establish trust and flexibility for AI recruitment systems.