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This research aims to determine Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate on Gross National Income (GNI) in Estonia, Finland, Germany, Hungary, and Norway. The variables in this research are Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate as independent variables, while the Gross National Income variable is the dependent variable. This research uses secondary data taken from the OECD from 2011-2023. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the country that is able to become a leading indicator for the stability of the GNI rate is only Norway. This is because all the variables or indicators in the research, namely (Renewable Energy, Life Expectancy, and Unemployment Rate), this country has a significant effect on GNI. while the Emission Intensity variable does not have a significant effect on GNI. If we look at the stability of the short run and long run, the Unemployment Rate variable, both in the short and long term, significantly controls the stability of GNI.    

This research focuses on the transformation of risk control and monitoring policies conducted by Bank Indonesia over the past five years (2018-2023). It uses qualitative analysis methods to examine the evolution of Bank Indonesia's policies through publications of financial institutions such as Bank Indonesia, OJK, and BPK. This study shows that policy impact evaluation plays an important role in identifying areas of improvement and new solutions to enhance policy effectiveness. Bank Indonesia adjusts strategies responsively and proactively to keep up with financial market dynamics and technological developments, and integrates the principles of international standards in banking supervision and risk management. Synchronizing policies with international standards is a top priority for maintaining the credibility of global markets. In facing the challenges of global economic change, technological innovation, and dynamic regulations, Bank Indonesia is committed to conducting in-depth reviews and policy adjustments to face the future. The evolving approach allows Bank Indonesia to strengthen its role in maintaining financial system stability and promoting sustainable economic growth. This research provides insights into Bank Indonesia's successes and challenges in transforming its risk control and monitoring policies.

Building a computer network needs significant care in selecting a configuration to ensure its efficacy and efficiency. It involves decisions about network topology, types, and device use. Security measures are essential for protecting networks with internet access from external attacks. A study conducted at an Islamic university in Indonesia indicated the use of a star network architecture and a client-server network model. The servers utilize Debian Linux. The university's security infrastructure includes a server authentication system and the setting up of a Virtual Private Network (VPN). If the server authentication difficulty is caused by a power outage, it is recommended that you use an UPS (uninterruptible power supply) to preserve power stability. Overall, security methods show up to be more effective when firewalls are installed.

One of the most common economic activities in the community is micro, small, and medium enterprises (MSMEs). These businesses are known for being relatively easy to develop and have the potential to strengthen a country's economy. As a source of income for most people, MSMEs are often their economic footing. Furthermore, MSMEs have the potential to compete with other businesses on an international level if they are continuously strengthened. If this is successfully achieved, it will provide a significant boost to national economic growth and support the stability of the country as a whole. The purpose of this research is to collect information about the role of contributions and obstacles faced by UNTIRTA students in an effort to encourage the economic development of MSMEs in Serang City. The research was conducted through a descriptive analysis method with a qualitative approach. To collect data, the author employed both literature study techniques and in-depth interview techniques with UNTIRTA students. The results of this study indicate that UNTIRTA students play a significant role in driving the MSME economy in Serang City. UNTIRTA students can assist in raising public awareness about the role and potential of MSMEs in Serang City. Nevertheless, further endeavors are necessary to enhance students' capacity and accessibility to requisite resources, as well as to reinforce collaboration between educational institutions, the government, and MSME stakeholders. It is anticipated that a more conducive environment for the growth and sustainability of MSMEs in Serang City can be created through close collaboration between students, educational institutions, local government, and MSME players.  

The discharge of ballast water by commercial vessels impacted on the development of non-native species and the spread of heavy metal. In this research, descriptive methodology was applied whose research sample was obtained by random sampling method. Questionnaire and interviews were employed as the data collection method. In order to identify the strategy, the data were then analyzed by using SWOT (Strength, Weakness, Opportunity, and Threat). The research was aimed to formulate the model and strategy in the implementation of BWM (Ballast Water Management). BWM had been analyzed and applied to determine an appropriate model for ballast water treatment. In this case, the Harbour Master and Port Authority Office of Tanjung Emas can possibly apply a defensive strategy. This strategy emphasizes on the improvement of Port State Control (PSC) and penalties. In order to maintain the vessel stability, container vessels, passanger vessels, and ro-ro vessels are recommended to apply freshwater within their ballast tanks. Moreover, a ballast water treatment facility has also been provided by the port administrator, Pelindo III, for bulk carrier vessels and tankers to discharge their ballast water.   

This study aims to analyze the performance of the OSPF routing protocol in a tree topology using the Cisco Packet Tracer simulator with a router configuration, and a PC/computer. This research involves building a tree topology consisting of several router nodes and PC/computers, where OSPF is implemented to manage routing. Tests were conducted using steady ping on PC to PC, PC to router and PC to server to measure network performance in terms of latency and reliability. The test data was analyzed to evaluate OSPF convergence, network stability and rounting efficiency. The results of this study provide insight into the effectiveness of OSPF in a tree topology.

In the era of digital communication, access speed and data security are crucial. The study evaluated network topology, focusing on tree topology using simulations with Cisco Packet Tracer. Tests highlighted stability, latency, throughput, and bottleneck potential. Data transmission time information is key in assessing network performance. Test results are important for optimizing performance and identifying areas of improvement in the network. In conclusion, monitoring network performance is an important step for operational efficiency and security.    

This paper investigates the stability characteristics of fractional order differential equations (FODEs) incorporating time delays. Using the Lyapunov-Krasovskii method, we derive sufficient conditions for the stability of solutions to these delayed fractional systems. The theoretical findings are applied to several examples, including models of population dynamics and engineering systems. Numerical simulations validate the theoretical results, demonstrating the role of time delays in system behavior and stability.

Aggregate is the main component of road pavement structure, namely 90-95% of the weight of the pavement. Such a large proportion means that the quality of the aggregate used will greatly determine the overall performance of the pavement. The availability of quality aggregate is absolutely necessary to ensure the sustainability of development in the road construction sector. One area that has aggregate potential that has not been utilized optimally is Kandang Mbelang Village, Lawe Bulan. The aim of this research is to determine the characteristics of the Marshall, UCS, ITS test values ​​and the permeability of asphalt mixtures using the excavated material of Kandang Mbelang, Lawe Bulan as aggregate. This research uses experimental methods carried out in the laboratory with variations in asphalt content of 4.5%, 5%, 5.5% and 6% for the Marshall test and obtains Optimum Asphalt Content (KAO). For ITS, UCS and permeability testing, Optimum Asphalt Content was used with three samples each. Hypothesis testing for data comparison uses the T test method. The use of Kandang Mbelang aggregate in the AC-WC spec IV mixture produces a stability value of 711.5 kg, a flow value of 3.48 mm, a porosity value of 16.077%, a density value of 2.016 gr/ cm3 and Marshall Quotient value 215.823 kg/mm ​​at Optimum Asphalt Content of 5.3%. The average ITS value is 319.024 KPa, the average UCS value is 6,982.237 KPa, while the average permeability coefficient value is 7.14x10-4 cm/s. Through the T test statistical method, it is known that the use of the Kandang Mbelang aggregate for the AC-WC spec IV mixture does not cause changes in the stability, flow, ITS and UCS values. Real changes only occur for density values, porosity values ​​and permeability coefficients.

This article examines the legal protections in place for children in foster care systems, focusing on issues such as stability, mental health support, and legal representation. By reviewing foster care policies in several countries, the study assesses how well these policies uphold children's rights and meet their emotional and developmental needs. Findings reveal gaps in foster care protections, suggesting that more consistent standards are necessary to ensure children's welfare.

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.

Abstract. The Single Presence Policy (SPP) was implemented in Indonesia since 1998 with the aim of maintaining the stability and resilience of the national financial system. Amid the threat of a predicted global recession, the relevance of SPP in maintaining the health, resilience, and competitiveness of Indonesian banking becomes important to be studied. This research uses a normative juridical legal research method with a qualitative approach. Data was collected through library research and analyzed descriptively. The purpose of this research is to analyze the relevance of SPP in maintaining the health, resilience, and competitiveness of Indonesian banking in facing a recession. The research results are expected to provide input for regulators and banks in formulating appropriate policies to maintain the stability and resilience of the national financial system.   Keywords: Single Presence Policy, bank health, bank resilience, bank competitiveness, recession).

The rapid development of smart city initiatives has significantly increased the adoption of Internet of Things (IoT) technologies to enhance urban services, infrastructure efficiency, and quality of life. However, the large-scale deployment of interconnected IoT devices also introduces critical cybersecurity challenges, including unauthorized access, data breaches, and system vulnerabilities. This study aims to develop an integrated IoT security management model to improve cybersecurity resilience in smart city environments. The research adopts a Design Science Research (DSR) approach, which involves problem identification, literature analysis, model design, implementation, and evaluation. The proposed model incorporates key security components such as Identity and Access Management (IAM), device authentication, secure communication through encryption, firmware and patch management, and continuous monitoring with intrusion detection mechanisms. The model is evaluated through simulation in smart city scenarios, including transportation systems, environmental monitoring, and energy management. The results demonstrate significant improvements in security performance, with increases in threat detection rate, vulnerability reduction, access control effectiveness, and system stability under attack conditions. Quantitative analysis shows improvements of up to 37% compared to conventional approaches, indicating the effectiveness of the proposed model in mitigating IoT-related cybersecurity risks. This study contributes by providing a comprehensive and scalable framework for IoT device security management, which can be applied to enhance the reliability and sustainability of smart city systems. Future research is recommended to validate the model in real-world implementations and integrate advanced technologies such as artificial intelligence for predictive threat detection.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

Foundations are structural elements that play a crucial role in ensuring the stability and safety of buildings; therefore, understanding soil characteristics and stratification is a critical stage in geotechnical design. This study aims to analyze soil characteristics and stratification using Cone Penetration Test (CPT) data as a basis for determining safe and efficient foundation depth. The research method employed a quantitative–descriptive approach utilizing CPT test data obtained from two test points at the research site in Blitar City, East Java. The analyzed parameters include cone resistance (qc), sleeve friction (fs), and friction ratio (Rf), which were recorded continuously with depth in accordance with ASTM D3441-86. The results indicate that the shallow soil layer up to a depth of approximately 2.0 m is dominated by fine-grained soils with low qc values and high Rf values, making it unsuitable as a foundation bearing layer. The soil layer with the most favorable mechanical characteristics was identified at a depth of approximately 5.5–6.0 m, characterized by high and relatively stable qc values and low Rf values, indicating dense coarse-grained soil. Variations in the depth of hard soil layers between test points suggest lateral variability in subsurface conditions. These findings confirm that CPT data are effective for identifying soil stratification and providing preliminary recommendations for foundation depth in geotechnical planning.

This research investigates the integration of Sharia economic instruments into green economy policies in Indonesia, focusing on how these instruments can enhance sustainability efforts. Specifically, it evaluates the role of Green Sukuk, zakat, and waqf in supporting sustainable development projects. Sharia economic instruments are identified as essential tools for financing environmentally friendly projects while aligning with social and ethical values. The research explores how these instruments contribute to the green economy by expanding funding sources, increasing public participation, and promoting social welfare. The study finds that the hybrid approach of integrating Sharia instruments with green policies leads to more sustainable outcomes compared to secular-only frameworks. The integration fosters long-term stability, attracts ethical investors, and supports social inclusion, making green initiatives more resilient. This research highlights the potential of Sharia-compliant financing in advancing the Sustainable Development Goals (SDGs) and fostering a more inclusive and sustainable economic model. Recommendations are made for the Indonesian government to develop policies that incorporate Sharia instruments into the green economy framework to enhance financial support and community engagement.

This study explores the financial implications of divorce, focusing on spousal support and asset division policies in family law. By analyzing case studies and legal frameworks from different countries, the research examines how equitable asset division and fair spousal support can impact financial security post-divorce. Findings suggest that well-structured financial provisions are essential for supporting financial independence and stability for individuals post-divorce.

Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload intensities. Key evaluation metrics included response time, throughput, resource utilization, SLA violation rate, and energy consumption. The experimental results indicate that centralized scheduling mechanisms experience scalability limitations and increased latency under high workload conditions. Although optimization-based allocation improves performance within centralized architectures, coordination bottlenecks remain significant. In contrast, decentralized scheduling models demonstrate superior adaptability, reduced response time, and improved throughput due to distributed decision-making and reduced control overhead. The integration of intelligent optimization techniques further enhances resource utilization and energy efficiency, achieving the lowest SLA violation rates and highest system stability. Overall, the findings confirm that combining decentralized scheduling with optimization-driven resource allocation provides a more scalable and sustainable orchestration strategy for modern cloud environments. This approach is particularly suitable for dynamic, large-scale, and latency-sensitive applications in container-based and edge-integrated cloud systems.

Empowerment of Micro, Small, and Medium Enterprises (MSMEs) is a crucial strategy for enhancing business capacity and family economic welfare. This community service activity employed a participatory approach and continuous mentoring to actively involve MSME actors in all stages, from planning, training, to evaluation. The results indicate an increase in MSME actors' understanding of proper business management, systematic financial recording, and effective marketing strategies. Additionally, technical skills improved, including the ability to maintain daily cash books, income-expenditure reports, and manage operational costs and business capital. The impact of this activity is reflected in increased income, family economic stability, and enhanced economic independence of MSME actors. These findings highlight that MSME empowerment through a participatory approach and sustained mentoring contributes to family economic improvement, community economic resilience, and inclusive, sustainable local economic development

This study explores the development of Islamic economic thought during the Umayyad Dynasty (661-750 CE). Using descriptive and literature review methods, this research highlights the integration of Islamic principles into economic policies and practices during this era. Key findings indicate that the Umayyad rulers implemented zakat, kharaj, and jizyah systems to ensure wealth redistribution and welfare. Infrastructure development and monetization through dinar and dirham currencies also contributed to economic stability while adhering to Islamic ethical values. Despite challenges such as social inequality and administrative inefficiencies, the Umayyad Dynasty laid a foundation for future Islamic economic systems that prioritize justice and prosperity.