Purpose: This study aims to measure the impact of Smart Village dimensions on rural community welfare in Lampung Province from 2020 to 2024, focusing on the Smart Economy pillar and its integration with digital transformation and technosociopreneurship. Methods: A quantitative approach was applied using multiple linear regression (Ordinary Least Squares) on data from 70 Smart Village loci across four districts. The independent variables include Smart People, Smart Governance, Smart Mobility, Smart Environment, Smart Living, and Smart Economy, while the dependent variable is community welfare. Instrument validity and classical assumption tests ensured model reliability. Results: All six Smart Village dimensions significantly and positively affected community welfare, with Smart People having the highest coefficient (0.8489). The model showed strong explanatory power (R² = 0.9535) and passed all classical assumption tests. Smart Economy initiatives—digitalization of MSMEs, inclusive market access, and technology-driven entrepreneurship—directly enhanced household income, job creation, and local growth. Conclusion: Implementation of Smart Village principles, especially smart economic transformation, significantly improves rural welfare. Digital innovation, good governance, and community capacity-building strengthen service quality, economic inclusion, and sustainability. Limitation: The study is limited to Smart Village implementations in Lampung Province, excluding interregional comparisons and long-term behavioral aspects. Contribution: This study provides empirical evidence of Smart Village effectiveness in rural development, supporting policy formulation on digital infrastructure, entrepreneurship training, and stakeholder collaboration, while offering a replicable model for evaluating Smart Village outcomes in other regions.

Purpose: This study aims to provide a socio-philosophical analysis of the main concepts of peace and cooperation among nations, focusing on four perspectives: the etatist concept, the ethnological approach, racial ethnocentrism, and the transcendental dimension. It explores how moral values, human rights, and collective identity influence peaceful coexistence between diverse nations Methodology/approach: The research adopts a qualitative approach using literature-based analysis. Methods applied include synthesis, retrospective and comparative analysis, generalization, and a dialectical-synergetic framework to examine the philosophical foundations of interethnic harmony and international cooperation. Results/findings: Findings reveal that sustainable peace cannot rely solely on political agreements or legal frameworks. The etatist concept emphasizes state responsibility in ensuring equality among nations, while the ethnological approach distinguishes between natural and artificial polyethnicity. Racial ethnocentrism highlights the emotional depth of cultural identity, and the transcendental perspective underscores spiritual and moral reasoning as key drivers for long-term peace and cooperation. Conclutions: The study concludes that building lasting peace among nations requires not only treaties and institutions but also the recognition of human dignity, tolerance, and moral values as universal principles. A socio-philosophical lens enriches understanding of justice and equality in international relations. Limitations: This research is conceptual and lacks empirical testing or case-based validation of the proposed framework. Contribution: The study offers a theoretical foundation for policymakers, educators, and diplomats to foster multicultural understanding and ethical principles in promoting global peace.

Purpose: This study aims to analyze the impact of the Family Hope Program (PKH) on alleviating extreme poverty in Mimika District. The main focus is to assess the effectiveness of government social assistance in reducing the number of extremely poor families using a panel data approach. Research methodology: Using panel data analysis methods through Fixed Effects (FE) and Random Effects (RE) models. The selection of the FE and RE models is based on the consideration that panel data allows for controlling unobserved heterogeneity between observation units. The Hausman test will be used to determine the most appropriate model between FE and RE. Data processing in this study was carried out using Eviews version 7.2. Results: Social assistance through PKH has a significant effect on reducing extreme poverty in Mimika District.The number of extremely poor families decreased from 3,709 families in 2022 to 2,691 families in 2024. Regression results indicate that every increase in PKH assistance contributes to a decrease in the number of extremely poor individuals.The program's effectiveness varies across districts, especially in remote areas with poor infrastructure. Conclusions: The Family Hope Program (PKH) has proven effective in helping to reduce extreme poverty in Mimika District. The conditional assistance provided through PKH has improved the welfare of beneficiary families, although its effectiveness differs across regions depending on infrastructure and access to basic services. Limitations: The variation in program effectiveness across districts indicates limitations in infrastructure and access to basic services (education and healthcare), which affect program success.This study does not deeply explore local social, cultural, and economic factors that may also influence program outcomes. Contribution: Provides empirical evidence on the effectiveness of conditional social assistance (PKH) in reducing extreme poverty in underdeveloped regions. Offers policy recommendations for local governments to better allocate and optimize social assistance programs based on infrastructure conditions and access to public services in each district.

Purpose: The study aims to scientifically substantiate a model for developing the technical readiness of 12–13-year-old football players. The model seeks to enhance players’ physical coordination, dribbling, passing accuracy, striking power, endurance, and quick decision-making, which are fundamental in modern football training. Research methodology: A step-by-step model was designed, consisting of preparatory, basic, advanced, and special stages of technical training. An experimental study was conducted with young football players in the Bukhara region, divided into control and experimental groups. Data were collected using standardized physical and technical tests to measure dribbling speed, endurance, striking power, and other performance indicators. Statistical analysis was employed to evaluate differences and dynamics between the groups. Results: The experimental group demonstrated significant improvements across key indicators compared to the control group. Notably, enhancements were observed in dribbling speed, striking power, and decision-making under time constraints. Statistical analysis confirmed that the staged model effectively contributed to measurable growth in technical readiness. Conclusions: The study confirms that a structured, progressive training model fosters technical skill development in young football players. The proposed framework may serve as a guideline for sports schools and coaches in designing age-appropriate training programs. Limitations: The study was region-limited and short-term; broader contexts and longer monitoring are required for generalization. Contribution: The study contributes to youth sports training literature by presenting an evidence-based model that integrates physical, technical, and cognitive elements into a unified developmental framework.