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Delays in reporting accountability result in inefficient absorption of funds and budgets. Therefore, a study was conducted to investigate the causes of these delays in accountability reports. Based on interviews with two staff members closely involved with the accountability reports, the main causes of the delays were identified: lack of knowledge about the regulations for preparing financial accountability reports and the influence of delays in report preparation. The communication for monitoring the reports is done via mobile phones, indicating that the monitoring and control processes are still manual. This research uses the Assure Model development method, starting with data analysis of the current conditions at the Indonesian Naval Academy, followed by setting standards and objectives to determine whether financial absorption optimization has been achieved. The next step involves modifying the system in use and determining the necessary application for optimization, which is then tested and re-evaluated. The review of this method concludes that an integrated information system based on an ERP-SAP (Enterprise Resource Planning-System Application And Product) application is needed. This system would eliminate the time gap between report submission and accountability review, thus improving budget absorption with an application-based monitoring concept.

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.

Biogas is a potential renewable energy source to meet energy needs, especially in remote areas that do not have access to electricity. The process of making biogas is carried out through anaerobic fermentation of organic materials such as vegetable waste, livestock manure and agricultural waste. This research aims to design a batch type biodigester that can produce biogas from a mixture of goat manure, chicken manure and vegetable waste. Biodigester is a reactor used to produce biogas. The stirred biodigester aims to mix the substrate evenly in the biodigester and prevent the formation of scum. The biodigester designed has a capacity of 120 liters with a stirring system to increase the efficiency of biogas production. The fermentation process was carried out for 21 days by monitoring parameters such as temperature, pH, Chemical Oxygen Demand (COD), and methane gas concentration (CH4). The results showed that the temperature and pH in the biodigester remained in optimal conditions for the activity of methanogenic microorganisms. The highest CH4 concentration measurement was recorded on day 20 at 60%, which indicates good biogas quality. In addition, the flame test on day 21 produced a blue flame, indicating a high CH4 content. The decrease in CH4 concentration at the end of the study was caused by the exhaustion of organic material. This research contributes to the development of efficient and environmentally friendly biodigester technology to produce biogas as a renewable energy source.

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.

Spentwash, a liquid waste byproduct of bioethanol production, is a potential raw material for biogas production due to its high organic content and abundant availability. PT Energi Agro Nusantara (ENERO) utilizes spentwash through anaerobic digestion processes to produce biogas, which is used as an alternative energy source.However, optimizing biogas production still faces various challenges, including the need for efficient monitoring and increased production volume. Internet of Things (IoT)-based technology offers a solution through real-time monitoring systems, enabling direct and accurate methane level measurements.This study aims to develop a prototype of a stirred digester equipped with an IoT-based methane gas detection sensor, using the MQ-2 sensor to detect methane gas.

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.

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.

Tenggayun Village has great potential for the development of MSMEs (Micro, Small, and Medium Enterprises), but many business owners have not yet utilized digital technology for marketing. This program aims to enhance the creativity of MSME actors through education and training in digital marketing. The training covers how to use digital platforms, manage social media accounts, and e-commerce. After completing the program, participants showed improved knowledge and skills in creating engaging content and leveraging online marketing to increase sales. As a result, many MSME owners were able to reach new customers and boost their revenue. The program also encourages creativity in product development, leading to more innovative products. Additionally, a community was formed among MSME actors who supported one another. The program increased public awareness of the importance of purchasing local products, strengthening the market for MSME products. Moving forward, the service team plans to conduct regular monitoring to ensure the sustainability of digital marketing practices. Overall, this program has had a positive impact on the local economy, strengthening the competitiveness of MSMEs in Tenggayun Village.

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 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 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.

The purpose of this community service is to assist students in introducing various traditional games and preserving traditional games during their teaching practice in schools. Through sports students, it is hoped that various traditional games can be introduced during teaching practice in schools. One example is the dam-dam game, which is expected to reduce children's tendency to play online games and enhance their creativity by utilizing readily available materials. This community service activity is motivated by several issues, namely (1) the lack of students' knowledge about traditional games and (2) the tendency of students to spend more time playing online games, which impacts their social interactions. For example, students often tend to be more focused on their gadgets when being spoken to. This activity is conducted at the University of Insan Budi Utomo Malang in the city of Malang. The process of implementing this community service activity includes (1) problem identification; (2) needs analysis; (3) design and mentoring; (4) implementation of guidance; (5) monitoring and evaluation of activity results; and (6) reporting and follow-up. Lectures, demonstrations, and training are the methods of this community service. Based on the questionnaire given to 30 participants, 20 people stated that the activity was good, and 10 others stated that it was very good.

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.

Attacks on web applications (web application attacks) can compromise data security in hospitals which are exploited by attackers by using weaknesses in the web application code. However, there are still many developers who are less alert to attacks on web applications. To improve the security side of the web server so that it detects suspicious attacks in website network traffic, namely by using wazuh as an Intrusion Detection System (IDS) and monitoring platform. The evaluation results show that the implementation of wazuh as an Intrusion Detection System (IDS) and monitoring platform can detect attacks by closing security gaps so that attackers cannot attack in the same way.

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.

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.

To improve public health, the problem of providing clean water must be a top priority. Since water is essential for all living things, water is also very important. It requires the availability of healthy water, which includes monitoring and regulating water quality to meet human needs and life. The goal is to ensure that everyone has access to healthy drinking and clean water. Target. The aim of this research is to find out whether there are coliforms and fecal coliforms in the drilled well located on Rt 28/Rw 007, Baguala District, Ambon City. Methodology. This research is classified as descriptive research. The 6 water samples used were taken at Rt 28/Rw 007 Baguala District, Ambon City. The total population in this research is six drilled wells. All drilled well water was taken at 1 Rt/Rw and used as the resulting sample. The research results showed that fecal coliform and coli bacteria were found in drilled well water at Rt 28/Rw 007 Waiheru Perumnas Village, Baguala District, Ambon City; three drilled well water was positive for coliform bacteria, and one drilled well water was negative. Five positive borehole water also had negative coliform bacteria. Decision: According to the Republic of Indonesia Minister of Health Regulation number 32 of 2017 concerning environmental health quality standards and water health requirements for sanitation hygiene purposes, swimming pools, aqua solutions and public baths, the number of coliform bacteria is 1 and the number of coliforms is 3.

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.