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The objective this study is to analyze the implementation of Bandung Barat Regency Regional Regulation No. 5 of 2018 about the Placement and Protection of Indonesian Migrant Workers (PMI) originating from Bandung Barat Regency referring to the Hill and Hupe's theory of Policy Implementation. This matters all the more since the migrant worker-related cases that garner the highest volume if not interest–like illegal, clandestine worker departures, back wages, and exploitation–reflect the lack of protection systems, the unmet obligation towards the respect of individual rights and human dignity. This qualitative case study reveals key factors influencing policy implementation — low levels of socialization and knowledge about the regulation among migrant workers, absence of inter-agency coordination and poor resources for monitoring and enforcement In addition, it builds upon the variables presented by Hill and Hupe in order to present a more integrated analysis of the implementation process of the policy. These results highlight failures in the system, including the lack of inter- agency cross country collaboration and low resource allocation toward the functions that protect PMI. In light of this, the study makes a range of recommendations including for better policy socialization, improved inter-agency coordination and enforcement, and strengthening resourcing and legal compliance capabilities. Practical implications This study advances the theory of public administration and provides practical insights for policymakers, particularly for strengthening the protection of Indonesian migrant workers in an effective manner.

The predictive role of oxidative stress in the pathophysiology of human pregnancy is of particular interest, as oxidative stress is increased in normotensive pregnant women through systemic inflammatory response, reactive oxygen species (ROS), and reactive nitrogen species (RNS). This study involved 40 consenting pregnant women recruited from St. Philomina Catholic Hospital, Edo State, Nigeria. Data obtained were analyzed using GraphPad Prism 9. Results were expressed as mean ± SEM, with a P-value of ≤ 0.05 considered statistically significant. Malondialdehyde (MDA) increased from 3.75 ± 0.42 U/L in normotensive women to 4.53 ± 0.59 U/L in preeclamptic women. However, this increase was not statistically significant (p<0.05; 0.2903). Catalase activity decreased from 114 ± 8.07 U/L in normotensive women to 84.02 ± 21.58 U/L in preeclamptic women, but this decrease was also not statistically significant (p<0.05; 0.1909). Superoxide dismutase (SOD) increased from 40.82 ± 1.23 U/L in normotensive women to 71.90 ± 5.61 U/L in preeclamptic women. This increase was statistically significant (p<0.05; <0.0001). Glutathione peroxidase (GSH) decreased from 66.74 ± 10.35 U/L in normotensive women to 50.63 ± 8.96 U/L in preeclamptic women, but this decrease was not statistically significant (p<0.05; 0.2466). These findings suggest the potential predictive roles of these biomarkers in identifying and monitoring preeclampsia.

This study aims to describe the implementation of the Deming Model performance management (PDCA cycle) at the Tanjungpinang City Satpol PP office. The type of research used is descriptive research with a qualitative approach, with data obtained through in-depth interviews with Mr. Ray as secretary, and staff involved in daily operations, as well as direct observation. Data analysis uses thematic analysis techniques that include three main steps: data reduction, data presentation, and conclusion drawing. The results showed that the implementation of the PDCA cycle at the Tanjungpinang City Satpol PP office has had a positive impact on improving organizational performance. Through structured stages from planning (Plan), implementation (Do), checking (Check), to corrective action (Act), the Satpol PP Office is able to plan and implement policing programs more effectively and efficiently. However, there are obstacles such as lack of training, budget limitations, and suboptimal coordination between sections. Performance evaluation needs to be improved in terms of more integrated measurement and monitoring. The implications of this study emphasize the importance of coordination and systematic evaluation for continuous improvement.

This study aims to analyze the implementation of leadership supervision in efforts to improve the performance quality of Civil Servants (PNS) in the Economic Affairs Section at the Regional Secretariat of Langkat Regency. The research findings indicate that the effectiveness of supervision greatly depends on clear objectives, performance indicators, periodic evaluations, and open communication between leaders and staff. Although there are challenges such as ineffective communication and imbalanced workloads, proposed solutions include improving communication and utilizing technology to enhance supervision and employee performance. Optimal supervision has been shown to play a key role in improving PNS performance, with an emphasis on monitoring, evaluation, and skill development. Despite challenges like limited resources and ineffective communication, solutions such as training, open communication, and technology can improve supervision efficiency. Most PNS show a positive attitude towards management and supervision, although there is still room for improvement in communication and skill development. Going forward, it is expected that supervision will become more structured, technology-based, and communicative to support the achievement of organizational goals more efficiently and enhance public service quality.

This study aims to evaluate the efficiency of Batam’s regional investment policies, focusing on their effectiveness in fostering sustainable economic growth. Batam, one of Indonesia's fastest-growing cities, has experienced significant industrial development, making investment policies a crucial factor in ensuring continued economic progress. The research examines key aspects of these policies, including efforts to reduce bureaucracy in investment processes, create incentives that align with regional development goals, and enhance the monitoring of investment activities. By analyzing the current policies through a comprehensive evaluation framework, this study identifies challenges such as institutional dualism, legal uncertainties, and slow investment growth, which hinder the city's economic development. Additionally, it explores solutions for optimizing these policies to improve their efficiency, thereby contributing to sustainable growth and greater competitiveness for Batam. The findings of this study provide critical insights for policymakers seeking to enhance Batam's investment climate and overall economic performance.

Divorce is a global phenomenon with significant implications for children's rights. This study aims to conduct a comparative analysis of the fulfillment of children's rights after divorce in five countries with different legal systems: Qatar, Egypt, Indonesia, Malaysia, and Jordan. The research employs a normative juridical method with a comparative legal research approach through literature review and legal document analysis. The findings reveal that each country has a unique mechanism for ensuring children's rights after divorce. Diverse legal systems—ranging from common law, civil law, to Islamic law—lead to variations in approaches to ensuring custody, care, and protection for children. The study identifies four critical dimensions in fulfilling children's rights: the right to survival and development, the right to protection, the right to education, and the right to participation. The comparative analysis highlights that cultural factors, legal systems, and political commitment play a fundamental role in determining the effectiveness of child rights protection after divorce. Key recommendations of this study include the need for regulatory harmonization, strengthening enforcement mechanisms, and developing sustainable monitoring systems. This research provides theoretical and practical contributions to understanding the complexity of fulfilling children's rights across global legal systems.

This study evaluates the effectiveness of a hybrid citizen–AI legal monitoring system in enhancing urban environmental governance. The hybrid system integrates citizen-driven reporting platforms with AI-powered legal monitoring tools to address the challenges of weak public oversight in urban environmental management. By implementing the system in three metropolitan areas, the study explores how real-time data collection through citizen reports, combined with AI-driven analysis, can improve the accuracy, speed, and responsiveness of identifying environmental violations. The results showed a 45% improvement in oversight effectiveness, demonstrating the potential of hybrid systems to enhance monitoring capabilities beyond traditional methods. The AI system, capable of analyzing large datasets and providing timely insights, enabled quicker identification and categorization of violations such as pollution and waste management issues. The integration of citizen involvement through digital platforms allowed for more inclusive data collection, enhancing the quality and volume of information available for decision-making. This synergy between human participation and AI-driven analysis improved the speed of response to urban environmental challenges, making the system more adaptive and efficient. However, challenges such as data reliability and variable citizen participation rates were identified, suggesting the need for strategies to encourage consistent engagement and ensure the accuracy of reported data. The study concludes that hybrid citizen–AI systems can significantly improve urban governance by enhancing transparency, accountability, and responsiveness, offering a promising solution for cities seeking to address environmental issues more effectively.

People's mining activities in Gamey Village, Uwapa District, Nabire Regency, Central Papua Province are carried out to meet daily needs and improve the welfare of the local community. This mining activity is based on alluvial deposit conditions and is applied for mining sediments on the surface and using alcon machines. for high pressure water spray. This community mining activity is divided into several stages starting from preparation of mining land, processing and production processes as well as selling gold products for sale. This research aims to examine the gold processing used by small-scale miners in Uwapa District, Gamey Village, and its impact on the environment and public health. The main focus of this research is on the use of the sluice box method, which is the gold processing technique most commonly used by local communities. This method was chosen for its simplicity and low cost, although the gold recovery efficiency varies between 50-70%. Additionally, this research evaluates alternative technologies such as shake tables and centrifuges that can increase gold recovery efficiency and be more environmentally friendly. The research results show that the implementation of alternative technology requires training, procurement of adequate equipment and infrastructure as well as ongoing monitoring. By adopting better technology, it is hoped that gold mining activities in Gamey Village can run more productively and sustainably, improving community welfare without damaging the environment.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

This study aims to analyze the maintenance strategy of railway lines in West Sumatra using the Life Cycle Cost (LCC) approach to determine the most economically efficient and sustainable maintenance option. The main issues raised are the high cost of reactive maintenance and the risk of operational disruption due to track damage. The research method involved collecting construction, operational, and maintenance cost data from railway operators, as well as LCC-based scenario simulations to compare preventive and reactive maintenance strategies. The results of the analysis show that the preventive maintenance strategy results in lower total life cycle costs, compared to the reactive strategy. In addition, the preventive strategy also supports operational sustainability by minimizing the risk of service disruption and improving user safety. SWOT analysis shows that LCC implementation has great potential to improve budget efficiency and support local economic growth, although challenges such as data limitations and natural disaster risks need to be mitigated. This research concludes that an LCC-based approach can be the basis for designing more effective, efficient and sustainable railway maintenance policies. Recommendations include prioritizing preventive maintenance, using monitoring technology, and strengthening supporting policies.

This systematic review examines the effectiveness of antenatal classes in improving pregnant women's attitudes towards stunting prevention. The review analyzed 28 studies published between 2018 and 2023, focusing on developing countries, particularly in Southeast Asia. The methodology followed PRISMA guidelines, utilizing multiple academic databases. The analysis revealed that structured antenatal classes significantly improved maternal knowledge about stunting (68% increase in knowledge scores) and led to positive behavioral changes in nutritional practices. Regular attendance at comprehensive antenatal classes was associated with better pregnancy outcomes, with participants showing 75% higher rates of implementing recommended nutritional guidelines. Key success factors included regular class frequency, interactive teaching methods, cultural sensitivity, and strong community support. However, significant challenges were identified, including resource limitations, access barriers, and cultural resistance. The review highlighted successful adaptations such as hybrid learning models and community-based approaches. Recommendations include strengthening program design through evidence-based approaches, enhancing community engagement, developing sustainable funding mechanisms, and implementing robust monitoring systems. This review underscores the vital role of antenatal classes in stunting prevention while emphasizing the need for continued research to address existing challenges and enhance program effectiveness across diverse settings.

This research aims to design and build a system for stirring and monitoring temperature and humidity for ESP32-based compost fertilizer. This system uses an ESP32 microcontroller to control compost mixing and monitor temperature and humidity conditions in real- time. Data obtained from sensors will be sent to the server for monitoring via Blynk. The implementation of this system is expected to increase the efficiency of the composting process and produce high quality compost through optimal monitoring and mixing.

This final report aims to design a website-based electronic archiving system using PHP and MyAdmin. The data collection method used by the author in this research is the field research method through interviews, observation, library research, and descriptive qualitative data analysis techniques using the waterfall method, namely the Development Life Cycle (SDLC) system, which is used to develop information systems in the website creation process. This method uses a systematic and gradual approach. This electronic filing system can help companies overcome various obstacles when recording and rediscovering documents. Automating processes in the system in systematic recording and storage can save time and help provide information quickly so that the administrative process is smooth. Reduces the use of paper (less paper) because documents are stored in digital format, so documents will not pile up and can reduce the use of archive storage space. In electronic archiving, there is no longer a need to manually record the agenda for incoming and outgoing letters, because when recording transactions, incoming or outgoing letters will be automatically recorded on the agenda for incoming or outgoing letters. For the system to continue running optimally, it is recommended that companies carry out employee training, routine system maintenance, continuous development, implementation of information security policies, and regular system performance monitoring.  Implementing these recommendations is expected to increase operational efficiency and accessibility of company information

The current study has investigated the morphological identification of some snails ofClass Gastropoda in AL-Diwaniyah City in Iraq. The findings show that there are threefamilies of studied samples, and they are Viviparidae, Thiaridae, and Melanopsidae of thespecies that are Melanoides tuberculata, Bellamya bengalensis and Melanopsis nodosa.More studies should be conducted in this regard, for the fact that normal fauna isimportant in terms of local fauna, and they should be kept under monitoring to avoidspecies extinction.

The increase in human activities, such as industrialization, urbanization, and transportation, has led to air pollution, including heavy metal contamination such as lead (Pb). Lead originates from vehicle emissions, industrial activities, and fossil fuel combustion, which have detrimental effects on the environment and human health. One effective method for monitoring air pollution is biomonitoring using bioindicators, such as lichen. Lichen is sensitive to air quality and can absorb pollutants, including heavy metals, through its surface. This study uses a literature review to analyze the role of lichen as a bioindicator of heavy metal pollution, specifically lead. Several lichen species, such as *Xanthoparmelia xanthofarinosa* and *Canoparmelia aptata*, are known to accumulate heavy metals from the environment. The results show that the lead content in lichen varies depending on the pollution level in the location. Areas with high traffic have higher lead concentrations compared to areas with low traffic. The advantages of using lichen as a bioindicator include low cost, practicality, and its ability to provide long-term data on air quality. With this understanding, lichen data can be used for pollution mitigation and evidence-based policies to reduce the impact of air pollution. Further research is recommended to explore the potential of lichen in detecting other heavy metals, such as cadmium (Cd) and copper (Cu).  

The report aims to evaluate the effectiveness of the Timeschedule and also the progress of the operational activities of Nusantara Maintenance Facilities (NMF). The results of the internship implementation show that the application of the Timeschedule and progress play an important role in maintaining effectiveness and efficiency of the work in achieving operational targets.

Operational risk is one of the significant challenges that can hinder the achievement of a company's goals, especially in strategic departments such as the Engineering Department. Risk identification and mitigation are important steps to ensure smooth operations and maintain the company's overall productivity and performance. This study aims to evaluate and optimize operational risk mitigation strategies in the Engineering Department of PT XYZ, which operates in the cement production sector. With a qualitative approach, this study analyzes various risks faced, including design suitability, reliability of safety monitoring, and budget management. The results show that the implementation of systematic and proactive mitigation strategies can significantly reduce potential risks that can interfere with smooth operations. In addition, this study found that effective communication with stakeholders and the implementation of feedback from customers are essential to increase customer satisfaction and trust. The resulting recommendations include the preparation of project completion time standards, periodic evaluations of performance, and more detailed mapping of budget needs. Thus, this research contributes to the development of best practices that can be adopted by other companies in the same industry. The results of this study are expected to improve PT XYZ's operational performance and strengthen its position in a competitive market.

Technology plays an important role in organizational culture if managed well and is very helpful in the rotation of an organization's journey. Finger print, for example, is a technological tool that contributes to building organizational culture. This tool not only functions as an attendance system, but also creates time discipline, transparency, and accountability among team members. Technology implementations like these demonstrate how technology can be used to support an organization's core values. Apart from that, applications such as E Pesantren Presence also provide digital solutions for monitoring attendance in real-time, which is very helpful for based organizations. Of course, the Head of Human Resources really feels helped by the contribution of technology in achieving organizational goals and it is very beneficial for teachers to have a disciplined character to apply and set an example for the students.

The exponential growth of the Internet of Things (IoT) introduces a multitude of security challenges, as a vast number of connected devices often operate with inadequate protection measures. This vulnerability heightens the risk of cyberattacks, data breaches, and hacking, exposing systems and sensitive information to increased threats. Ensuring security in the IoT ecosystem while considering this rapidly expanding technology's physical limitations and specific requirements is a complex task. This article comprehensively analyzes the primary vulnerabilities and risks associated with IoT, exploring innovative strategies and effective solutions to strengthen its security framework. The article highlights the critical role of secure device authentication, data encryption, regular updates, and continuous monitoring by addressing the intricacies of communication protocols and emphasizing the need for standardization. Ultimately, this work advocates for a holistic approach to IoT security, where robust, adaptable solutions are developed to safeguard against the evolving landscape of cyber threats.