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The research paper Examining the leadership of the Office of the Accountant General of the Federation (OAGF), it is evident that the country is in trouble and need a leader capable of bringing out the best in Nigerian supporters and guiding the country toward stability. The next logical step after gathering data is research analysis. Both the main data gathered from the in-person interviews and the data already available from public sources spanning the 50-year study period were analyzed using the constant comparative approach (Merriam, 2019). This clarified the qualitative case study technique utilized in the research design, which examined the influence of leadership on the governance of infrastructure development in Nigeria between 1960 and 2020. This leader needs to be dependable, emotionally knowledgeable, firm, prepared to endure hardships for the country, committed to bridging ethnic divides, and able to instill hope in the populace. leader must be able to process a variety of information and find effective solutions to challenging issues. This essay embraces the idea that leadership entails a leader or leaders, followers, and a social influence process. This viewpoint is influenced by clinical psychology socio-emotional intelligence and social psychology concepts of social influence; as a result, leadership for Nigeria will be examined from these angles.

This article discusses the position and functions of state institutions in Indonesia's governmental system based on the 1945 Constitution (UUD 1945). The UUD 1945, as Indonesia's highest written constitution, establishes state institutions within three main branches of government: executive, legislative, and judicial. The article outlines how each branch fulfills its role according to the principle of trias politica, aimed at maintaining a balance of power through a system of checks and balances. The main focus is to analyze the position of these institutions within the constitutional framework and how they work synergistically to support Indonesia's political, legal, and social stability. Furthermore, the article explores the challenges faced by state institutions, such as overlapping authorities, and offers recommendations for addressing these issues to strengthen good governance and democracy. A deeper understanding of the role and functions of state institutions is expected to help Indonesia achieve a just and prosperous government.

Online gambling has increasingly become a major social issue, particularly in the context of family and marital stability. This study aims to explore and analyze the impact of online gambling addiction on marital relationships, with a focus on the causes leading to divorce. Employing a qualitative research approach, data were gathered through in-depth interviews with individuals and couples who had experienced divorce as a direct consequence of one partner’s online gambling behavior. The results of this study reveal that online gambling addiction significantly contributes to financial instability, emotional distance, repeated conflicts, and the eventual breakdown of communication and trust within the relationship. Many participants reported experiencing feelings of betrayal, frustration, and emotional exhaustion due to the compulsive gambling behavior of their partners. In several cases, gambling debts resulted in the sale of family assets and prolonged financial insecurity, which further strained the relationship. Moreover, the secrecy surrounding gambling activities often led to the erosion of mutual respect and transparency between spouses. This research underscores the urgent need for public education and policy intervention to mitigate the negative effects of online gambling on families. Support systems such as counseling, rehabilitation programs, and financial planning services are crucial to help affected individuals recover and rebuild their lives. By shedding light on the destructive nature of online gambling on family dynamics, this study aims to contribute to the broader discourse on mental health, addiction, and the preservation of marital stability in the digital age.

This study aims to analyze credit management strategies in reducing non-performing loans (NPL) at PT. BPR Ambulu Dhanaartha in Jember Regency. This study uses a descriptive method with a qualitative approach. Data collection was carried out through direct interviews with the bank, observation, and documentation studies from various relevant sources. The results of the study indicate that PT. BPR Ambulu Dhanaartha implements credit management strategies through the stages of planning, organizing, implementing, and monitoring. The factors causing non-performing loans come from internal aspects, such as credit analysis errors, as well as external factors, such as economic conditions and disasters. The handling strategies implemented include restructuring, rescheduling, and confiscation of collateral. By implementing strict credit analysis, structured credit policies, periodic supervision, and effective collection strategies, PT. BPR Ambulu Dhanaartha is able to minimize the risk of non-performing loans and maintain its operational stability.  

This research focuses on exchange rate fluctuations in Indonesia during the period of 2005 to 2023, influenced by various economic factors, primarily monetary policy and international trade dynamics. Exchange rate instability is a major concern because it can impact the national economy, including export competitiveness and macroeconomic stability. Consequently, the purpose of this research is to dissect the relationship between interest rates, export values, and wide money as it pertains to currency swings.  This study takes a quantitative approach by analyzing the relationship between the dependent and independent variables via multiple linear regression.  World Bank, International Monetary Fund, and Statistics Indonesia yearly time series data from 2005 to 2023 is used.  The findings show that broad money, interest rates, and export values significantly impact the swings in the Indonesian currency.  According to the findings of the multiple linear regression analysis, Interest rates and broad money have a positive and statistically significant effect on changes in exchange rates, but export values have a negative and statistically significant effect. The implications of this research emphasize the importance of appropriate interest rate policies and balanced broad money management to maintain exchange rate stability. Future researchers are advised to include global variables and more complex analysis methods.

The stability of the banking sector is crucial in maintaining a country’s financial system and economic sustainability. This study analyzes the impact of Net Interest Margin (NIM), Non-Performing Loans (NPL), and Capital Adequacy Ratio (CAR) on banking stability in Indonesia. The inconsistency of previous research findings indicates a research gap that requires further exploration. This study employs a quantitative approach using secondary data from financial reports of conventional banks listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The sample was selected using purposive sampling, resulting in 39 banks with 195 observations. Data analysis was conducted using multiple linear regression with classical assumption tests, including normality, heteroscedasticity, multicollinearity, and autocorrelation, to ensure model validity. The results show that NIM positively but not significantly affects banking stability, while NPL has a negative and significant effect. CAR also significantly influences banking stability. Enhancing banking intermediation effectiveness through NIM and CAR can strengthen financial stability, whereas increasing credit risk, reflected in NPL, can weaken stability. This study provides insights for regulators and banking management in designing more effective policies to maintain banking sector stability in Indonesia.

This study aims to analyze the financial performance of CV Yanidilla Adilindo by using financial ratios, including liquidity, solvency, profitability, and activity ratios. The data used in this research consists of the company's financial statements for the last two years, including the income statement, balance sheet, and cash flow statement. Through the analysis of financial ratios, this study seeks to assess the effectiveness and efficiency of the company’s financial resource management and provide an overview of its strengths and weaknesses in financial aspects. The findings indicate that the company experienced fluctuations in financial performance, with some ratios showing improvement, while others exhibited a decline that requires further attention. Based on these findings, it is recommended that the company improve liquidity management and optimize its financing structure to support future financial stability.

The risk of falls in the community in Kapuk Cengkareng Village, especially the elderly, is a health problem that can have a serious impact on quality of life. Balance examination and education are important preventive measures in reducing the risk of falls. This study aims to analyze the effectiveness of balance examinations using the Single Leg Stance (SLS) and Time Up and Go (TUG) methods and provide appropriate education to improve postural stability. The method used in this study involved balance tests with SLS and TUG in community groups with various age ranges. The data obtained were analyzed to see the relationship between balance test results and fall risk factors. In addition, balance education interventions were carried out including physical exercise and fall prevention strategies. There were 30 Respondents Involved in This Activity after the Task was completed The success measurement method was used to evaluate the pre- and Post-Test methods and N-Gain with a value of 0.9 indicating that the strength or category in this study was at a High Level. The calculation results showed a 70% increase from the Pre-test and Post-test results. This shows that respondents experienced positive changes after participating in the activity and that the Technique used could significantly improve the Results. The results showed that individuals with low scores on the SLS and longer travel times on the TUG had a higher risk of falling. The balance education provided was shown to improve balance ability and public awareness of fall risk factors. Thus, balance examination using the SLS and TUG methods and balance education can be an effective strategy in preventing the risk of falling in the community.

This research examines the effectiveness of Barium Ferrite and PANI/Fe₃O₄ composite as Radar Absorbing Material (RAM) to reduce radar detection. Barium Ferrite has high absorption at high frequencies as well as good thermal stability, making it suitable for applications under extreme and long-term conditions. In contrast, PANI/Fe₃O₄ composites exhibit high flexibility, the ability to absorb waves over a wider frequency range, as well as light weight, ideal for requirements with lightweight materials, such as aircraft. The analysis shows that the selection of RAM depends on the application requirements regarding frequency range and thermal stability. This study recommends the development of composite materials that combine the advantages of both materials as well as field tests to ensure optimal performance in stealth applications.

The ongoing Russia-Ukraine conflict has become one of the most complex issues in global geopolitics, with far-reaching impacts on world security, economy and stability. This research aims to analyze the root causes of conflict, resolution efforts that have been made, as well as the effectiveness of conflict management based on historical and academic approaches. This research uses a qualitative method with a literature study approach to explore information from various credible sources. The research results show that this conflict was triggered by the long history of relations between the two countries, especially since the collapse of the Soviet Union, followed by the annexation of Crimea in 2014 and military invasion in 2022. Even though various diplomatic efforts and economic sanctions have been implemented, tensions still continue due to the incompatibility of geopolitical interests between Russia and Western countries. This study highlights the need for a multilateral approach based on international mediation to create sustainable peace. It is hoped that this article can contribute to academic understanding regarding international conflicts and strategies for resolving them.

Micro, small and medium-sized enterprises (MSMEs) have the potential to generate new jobs, offer diverse economic services to society, and contribute to accelerating national growth and stability. Of course, MSMEs are a very important sector of the national economy that can affect the lives of people in general.One of the objectives of this research is to find solutions to the problems found in the business information system of Dim Sumeya MSMEs in Pangandaran. Furthermore, data collection techniques are applied through observation and interview stages. This study was carried out by applying descriptive qualitative techniques which include analysis, summary of phenomena, as well as direct depiction of phenomena from data obtained through observations and interviews. The study collected information through interviews with the owner of Dim Sumeya. The results indicated that Dim Sumeya has not maximised its digital financial transaction recording and still does it manually. As a result, the author recommends the use of the BukuWarung application. Through this application, Dim Sumeya can support their micro, small, and medium enterprises (MSMEs) in the management of the financial system, thus minimising the risks associated with using the application.

This study aims to optimize the architecture of Artificial Neural Networks (ANN) for rainfall prediction using meteorological data from Indonesia, which is known for its complex and highly variable climate patterns. Climatic variables such as temperature, humidity, air pressure, wind speed, and historical rainfall records serve as the main input features to evaluate the performance of various network configurations. Optimization is carried out by determining the appropriate number of neurons, hidden layers, activation functions, and training algorithms to enhance prediction accuracy. Model evaluation employs indicators such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to ensure output stability. The findings indicate that a multilayer architecture combined with optimized parameters significantly improves the network’s ability to capture non-linear patterns in Indonesia’s tropical rainfall data. The optimized model produces more stable and accurate predictions compared to standard configurations. These results highlight the importance of ANN architecture optimization in supporting early warning systems, agricultural planning, water resource management, and hydrometeorological disaster mitigation across Indonesia.

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions

The aim of this research is to develop an effective strategy for family financial planning by utilizing secondary data obtained through literature studies. In today's consumer-driven society, managing finances wisely is essential to avoid impulsive spending and achieve long-term financial stability. The study identifies several key strategies that families can adopt to improve their financial behavior and planning. These include: (1) creating a budget and following it with discipline, (2) applying the “24-hour postpone” rule to avoid impulsive purchases, (3) reducing exposure to advertising, (4) focusing on long-term financial goals, (5) evaluating monthly shopping habits, (6) learning from personal desires instead of condemning them, and (7) reducing debt gradually. By implementing these strategies consistently, families can build better spending habits, avoid excessive consumer behavior, and work towards more sustainable financial well-being. These insights serve as a practical guideline for financial literacy and behavior modification in everyday family life.

This research aims to determine marketing strategies through SWOT analysis with a focus on segmentation, market position, targeting and marketing mix, which aims to increase consumer buying interest at Restaurant Garuda. The research results show that Restaurant Garuda implements various marketing mix strategies that influence the SWOT analysis, placing it in quadrant I (SO quadrant). This indicates a successful implementation of the odds and profits strategy, although with a slight difference of 2.4:2.95. Garuda Restaurant emphasizes the aspects of price, product, location and physical form of the building as the main factors that stimulate consumers' buying interest to try and remain loyal to their products. To maintain and increase consumer buying interest, it is recommended that Restaurant Garuda adopt product development strategies, improve brand image and maintain price stability. By implementing these strategies, it is hoped that Restaurant Garuda can maintain and increase their market share and customer satisfaction.

The Constitutional Court (MK) regarding the Election Law on the presidential and vice presidential nomination threshold. Since the presidential election was held directly, the issue of the threshold for nominating presidential and vice presidential candidates has always surfaced every time a presidential election is held. In 2004, for example, the presidential nomination threshold was 10 percent. This research is a juridical-normative research, namely a process to find legal rules, legal principles, and legal doctrines in order to answer the legal issues faced. The data was analyzed descriptively-qualitatively.The results of this study indicate that the Constitutional Court Decision Number 74/PUU-XVII/2020 concerning the presidential nomination threshold (Presidential Threshold) is one of the important decisions in the discourse of democracy in Indonesia. The following is an explanation of the Ratio Decidendi of the decision in relation to the concept of democracy: Constitutionality of the Presidential Threshold The Constitutional Court (MK) in its decision emphasized that the presidential threshold or presidential nomination threshold is constitutional. This means that the provisions regarding the threshold do not conflict with the 1945 Constitution. The Constitutional Court is of the opinion that the presidential threshold is an open legal policy (Open Legal Policy) which is the authority of the lawmakers, namely the House of Representatives (DPR) and the President. The purpose of the Presidential Threshold, the Constitutional Court explained that the purpose of the presidential threshold is to simplify the party system and the presidential system, as well as to create government stability. The Ratio Decidendi of the Constitutional Court Decision Number 74/Puu-XXII/2024, Number 87/Puu-XXII/2024, Number 129/Puu-XXI/2023, Number 131/Puu-XXI 2023 concerning the Presidential Nomination Threshold is the Presidential Threshold is constitutional and does not conflict with the principles of democracy.

This study analyzes the ambiguity regarding the obligation to mediate in resolving patent disputes according to the Patent Law, and its implications for the efficiency of the dispute resolution process. Although Article 153 and Article 154 of the Patent Law open up opportunities for dispute resolution through alternative mechanisms, the ambiguity regarding the obligation to mediate creates legal uncertainty that can hinder efficiency and increase dispute costs. Based on the Economic Analysis of Law approach, this study shows that the obligation to mediate can reduce social costs, accelerate the dispute resolution process, and increase overall economic efficiency. Mediation as an obligation can reduce the burden on the judicial system, minimize transaction costs, and create better legal and business stability. Therefore, this study encourages the implementation of the obligation to mediate in patent disputes to create a more efficient, fair, and profitable dispute resolution system for all parties involved.    

This study examines the impact of the 12% VAT increase on state revenue and societal welfare in Indonesia. The research aims to analyze how the policy affects economic indicators such as inflation, purchasing power, and fiscal stability. A qualitative method with a systematic literature review approach was employed, utilizing data from scholarly articles, online news, and related journals. Findings indicate that the VAT increase contributes to a 0.8–1% rise in the Consumer Price Index (CPI) and significantly affects secondary and tertiary goods, while essential goods remain exempt. The policy is expected to enhance state revenue, enabling greater fiscal space for social and infrastructure programs. However, it also raises concerns about reduced purchasing power, particularly among low-income groups. The study suggests implementing compensatory mechanisms and targeted subsidies to mitigate adverse effects. This research underscores the importance of balancing fiscal goals with social equity.

Abstract. From the perspective of Micro, Small, and Medium Enterprises (MSMEs), fluctuations in raw material prices are highly concerning as they can significantly impact business stability. While MSMEs may tolerate price fluctuations to some extent, from an industrial engineering perspective, such a passive approach contradicts the principles of continuous improvement. This study seeks to predict the price of large red chili peppers using five regression models implemented through Orange Data Mining: Linear Regression, Support Vector Machine, Decision Tree, k-Nearest Neighbors (kNN), and Gradient Boosting. Due to the limited availability of daily data, particularly within a daily timeframe, the study utilized weekly data spanning three years. The results of the Test and Score evaluation shows Gradient Boosting as the best-performing model, achieving a Mean Absolute Percentage Error (MAPE) of 0.7%. However, the MAPE for predictions in January 2025 increased to 15.8%. This error is expected to decrease as more weekly data becomes available to mitigate the inaccuracies inherent in this model. Keywords: prediction, red chilli, regression, supervised learning , orange data mining. Abstrak. Dalam perspektif UMKM, fluktuasi harga bahan baku adalah suatu hal yang paling ditakuti karena berakibat pada ketahanan usaha yang menjadi tidak menentu. Pada suatu kondisi, fluktuasi harga dapat diterima para UMKM, namun dalam perspektif teknik industri, sikap UMKM tersebut tidak sesuai prinsip continuous improvement. Penelitian ini mencoba untuk memprediksi harga cabai merah besar dengan menggunakan 5 model regresi dibantu Orange Data Mining. Yaitu Linear Regression, Support Vector Machine, Tree, kNN, Gradient Boosting. Data yang diperlukan sebagian besar tidak tersedia, khususnya dalam kerangka waktu harian sehingga penelitian ini menggunakan data mingguan selama 3 tahun. Hasil Test and Score menunjukkan model Gradient Boost terpilih menjadi model terbaik dengan tingkat MAPE 0.7% namun MAPE pada tahap Prediction di bulan Januari 2025 menjadi 15.8%. Error tersebut akan berkurang ketika data mingguan sudah cukup banyak untuk menambal kesalahan yang dihasilkan model ini Kata kunci: prediksi, cabai merah, regression, supervised learning , orange data mining.

This research describes the flexibility and simplicity of the Linux operating system architecture. These are the main factors behind its popularity in various technological applications. This study uses a literature approach to explore kernel modularity, extensive file system support, and kernel modularity in meeting the needs of users in various computing environments, ranging from the Internet of Things (IoT) to large-scale servers. Research shows that the modular structure of Linux makes it easy to customize the operating system without compromising stability. In addition, the open source nature of Linux supports learning and innovation among the global community. Despite the challenges of development complexity, the open source community remains committed to providing documentation and tools to support the user experience. With flexibility and simplicity at the core of its design, Linux continues to adapt to the rapid advancement of information technology.