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 analyze the potential and effectiveness of Local Own-Source Revenue (PAD) from the Livestock and Animal Health Service Office in Mimika Regency from 2017 to 2024. It also seeks to identify strategic efforts to optimize PAD contribution from the livestock sector, particularly through retribution on slaughterhouse services, animal health services, and livestock production. Research/methodology: A mixed-method approach was applied, combining quantitative descriptive analysis with qualitative insights. Data were sourced from secondary documents and field observations. The study used potential analysis, effectiveness ratio calculations, and SWOT analysis to examine income realization and improvement strategies. Results: The findings reveal that PAD from the Livestock and Animal Health Service has strong potential, especially in pig slaughterhouses (RPB), UPTD breeding units, and Puskeswan. Effectiveness levels often exceed 100%, indicating very effective performance, though certain units such as RPH-U remain underutilized. The retribution potential is not yet fully maximized due to limited public awareness, regulatory gaps, and infrastructural constraints. Conclusions: The livestock sector significantly contributes to regional income and holds untapped potential. With better regulatory support, infrastructure improvements, and digital system development, PAD from this sector can be further optimized. Strategic planning is essential for sustaining these gains. Limitations: This study is limited by the availability of consistent field data and affected by external factors such as disease outbreaks (e.g., ASF). Contribution: The research provides practical recommendations for local governments to enhance fiscal independence through livestock-based revenue streams and contributes a replicable framework for analyzing PAD potential and effectiveness.

Purpose: This study aims to explore the essence and manifestations of economic destruction as a key form of social destruction, highlighting its interplay with constructive and destructive processes in the global economic sphere. The research emphasizes how globalization accelerates both opportunities for growth and risks of instability. Research methodology: A qualitative descriptive approach is applied, using literature review and conceptual analysis of economic trends, globalization processes, and trade relations. The study also integrates comparative insights from international reports and academic discussions to assess the dual nature of constructiveness and destructiveness in economic life. Results: The findings reveal that globalization has intensified trade and economic relations worldwide, fostering constructive dynamics such as innovation, expanded markets, and technological transfer. At the same time, it has amplified destructive processes, including protectionism, indirect barriers, and price volatility. These opposing tendencies coexist and manifest across all sectors, making economic systems simultaneously more integrated and more vulnerable. Conclusions: The research concludes that constructive and destructive processes are inseparable features of contemporary globalization. While they drive economic interdependence and growth, they also generate systemic risks that require careful governance. Recognizing this duality is essential for sustaining balanced global development. Limitations: The study is primarily conceptual and relies on secondary sources, with limited empirical data to capture region-specific destructive impacts. Contribution: This article contributes to academic debates on globalization by framing economic destruction as both a theoretical and practical challenge, offering a lens to understand its systemic impact on global economic relations.

Purpose: This study aims to examine the structural transformation of values in modern society by identifying the main socio-economic, political, and cultural factors that influence their change. It emphasizes how modernization and the complexity of social dynamics reshape collective priorities and individual orientations. Research methodology: The research employs a qualitative descriptive approach supported by content analysis of academic literature, policy documents, and sociological data. Comparative analysis is applied to highlight the interplay between traditional and modern value systems, while contextual interpretation helps to map the drivers of change in contemporary society. Results: Findings indicate that social and economic intensification, political reforms, and the diversification of cultural life have generated a multilayered value system. Values once dominant, such as collectivism and hierarchical conformity, are increasingly replaced or reinterpreted by individual responsibility, innovation, and cultural pluralism. The research also shows that the evolution of values follows a dynamic hierarchy, where some gain centrality while others decline in significance. Conclusions: The study concludes that structural change of values is not random but a response to broader systemic updates. Modern society demonstrates an adaptive capacity, ensuring continuity of ethical frameworks while integrating new norms required by globalization and technological development. Limitations: The research is primarily conceptual and relies on secondary sources; empirical field data from diverse societies are still limited. Contribution: This article contributes to the theoretical understanding of value transformation by linking social change with the evolving hierarchy of values in contemporary life.

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.