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Sorghum (Sorghum bicolor L.) is an annual crop that is tolerant to drought and requires relatively low water input, making it suitable for cultivation on suboptimal lands such as peat soils. However, the utilization of peat soils for crop production faces major constraints, including high soil acidity and low availability of essential macronutrients, particularly nitrogen (N), phosphorus (P), and potassium (K). Improving the chemical properties of peat soils can be achieved through the application of dolomite to reduce soil acidity and NPK fertilizer to enhance nutrient availability. This study aimed to evaluate the growth and yield responses of sorghum to different combinations of dolomite and NPK fertilizer rates on peat soil and to determine the most efficient dosage. The experiment was conducted using a factorial randomized block design with two factors, namely dolomite rate and NPK fertilizer rate. Observations were made on growth and yield parameters of sorghum. The results showed that the interaction between dolomite and NPK fertilizer had no significant effect on all observed parameters. Based on efficiency analysis, the application of 1.16 kg dolomite per bed and 200 kg NPK per hectare was identified as the most efficient dosage to support the growth and yield of sorghum on peat soil. These findings indicate that appropriate soil amendment and fertilization management are essential for optimizing sorghum production on peat soils.

Continuous chemical control of rat pests (Rattus spp.) can sometimes lead to resistance and resurgence problems, and even some cases of inaccurate targeting ultimately killing livestock. The idea of ​​​​repelling rats in rice fields using vibrations of crickets and other natural animals transmitted via radio has been done and the results are quite optimal for rat control, but it has not been done in corn cultivation. The purpose of this study was to determine the effect of cat sound audio on the intensity of rat pest attacks (Rattus spp.) in corn (Zea mays L.) plantations. The research location was in a farmer's land owned by a farmer in Dagan Village, Solokuro District, Lamongan Regency. Observations were carried out on two corn fields, each measuring 1400 m2 with a distance of 1 meter between the two fields. Determination of sampling points using the diagonal method, each into 5 sub-observation plots. In each sub-plot, markers were placed as sampling points. Audio with cat and bird sounds was played continuously from 05.00 pm - 07.00 am. Observations were conducted at 7:00 a.m. at all sampling points at 30 and 60 days after planting. Observations were conducted for three days using audio and three days without audio. Damage symptoms were observed directly at each sampling point. Corn plants showing symptoms were then recorded and analyzed using the Damage Intensity formula. Observations showed that the use of cat sound audio was able to reduce the level of rat infestation. At 30 days after planting, the damage percentage was reduced by 8.33%. Meanwhile, at 60 days after planting, the damage percentage was reduced by 18.33%.

This research aims to: (1) identify the variations of joyful learning in digital-based instruction using Interactive Flat Panel (IFP) tvs at SD Islam Nurul Ulum Kandangan, Kediri; and (2) determine the implications of joyful learning within digital-based instruction via IFP tvs at SD Islam Nurul Ulum Kandangan, Kediri. The data for this study were derived from visual records during lessons using IFP tvs and the students of SD Islam Nurul Ulum Kandangan. This study employed a qualitative method. Ata were gathered through observation and documentation. The analysis used a descriptive qualitative technique, presenting the subjects and research findings in a narrative form. The results from several classes utilizing IFP tvs based on joyful learning revealed various engaging learning activities. These include: Student digital literature, Digital learning matches, English language learning, Fine arts stencil printing, Honesty education based on Pancasila values. These activities integrate fun, game-based learning with IFP TV technology. The digitalization of learning through IFP tvs fosters the development of students' critical thinking, agility, accuracy, and precision in their work. Additionally, students become more enthusiastic and do not experience boredom during the learning process.

In the era of globalization and technological advancement, education must transform to develop students who are adaptive, critical, and have strong character. One innovation introduced by the government is the Merdeka Belajar (Independent Learning) Curriculum, which emphasizes competency, character, and project-based learning. This study aims to determine the effect of implementing the Merdeka Curriculum on the learning outcomes of Pancasila Education for Grade XI students at SMAN 1 Petir in the 2024/2025 academic year. A quantitative method with a survey approach was used, involving 80 student respondents. Data were collected through questionnaires and learning outcome tests, and analyzed using correlation and regression statistical techniques. The results show that the Merdeka Curriculum has a significant and positive effect on students’ PPkN learning outcomes, with a correlation coefficient of 0.766. This means better implementation of the curriculum leads to better student achievement. The curriculum contributes 58.7% to the learning outcomes, while the remaining 41.3% is influenced by other factors. The study concludes that the Merdeka Curriculum effectively enhances learning outcomes, particularly in character and 21st-century skills development.

This study investigates the influence of financial literacy, entrepreneurship training, and financial inclusion on the performance of micro, small, and medium enterprises (MSMEs) through business sustainability. Using a systematic literature review (SLR) examines the impact of financial literacy, entrepreneurship training, and financial inclusion on MSME performance through business sustainability mediation by synthesizing empirical data from 12 research (2020–2025) across Scopus and Web of Science. Positive direct effects on sustainability (financial literacy via budgeting/risk management; training via adaptive resilience; inclusiveness via digital access) and performance metrics like profitability/growth are confirmed by results using the PRISMA 2020 flow.  Amid obstacles like financial access restrictions and COVID-19 disruptions, business sustainability appears as a crucial mediator, linking these factors to improved MSME results in developing contexts (Africa, Indonesia). Practical implications compel policymakers to give integrated literacy programs, contextual training, and inclusive finance top priority. Theoretical contributions combine financial literacy, entrepreneurial learning, and sustainability ideas into a holistic mediation model. The results highlight the importance of integrating financial education, entrepreneurial skill development, and inclusive financial systems to strengthen MSME resilience and competitiveness. This study provides practical implications for policymakers, financial institutions, and support organisations in designing effective interventions that foster sustainable business growth. The research also contributes theoretically by confirming the mediating role of business sustainability in the relationship between financial literacy, entrepreneurship training, financial inclusion, and MSME performance. Future studies may expand these insights by examining additional contextual factors such as digital technology adoption and business networking that further support sustainable MSME development.

This study aims to examine the influence of product innovation, digital marketing, and business networking on the competitiveness of small and medium-sized enterprises (SMEs), with customer engagement positioned as a mediating variable. Employing a Systematic Literature Review (SLR) approach, thirty Scopus-indexed articles published between 2020 and 2025 were analysed to synthesise theoretical and empirical insights related to SME competitiveness in contemporary digital and urban business environments. The findings indicate that product innovation, digital marketing, and business networking each play a significant role in strengthening SME competitiveness, particularly within markets characterised by rapid technological change. Customer engagement emerges as a critical mediating mechanism that connects these strategic variables to sustainable competitive advantage. It enhances the impact of innovative and digital strategies by fostering stronger emotional, behavioural, and participative interactions between SMEs and their customers. The review also highlights that SMEs adopting integrated digital management practices, such as the utilisation of human-resource information systems (HRIS) and data-driven decision-making tend to demonstrate greater adaptability, market responsiveness, and long-term performance. The study contributes theoretically by integrating resource-based and dynamic capability perspectives, offering a holistic understanding of how digital and relational capabilities interact to elevate competitiveness. Practically, the findings provide strategic guidance for policymakers, SME managers, and practitioners in designing innovation-oriented and digitally enabled initiatives that support sustainable SME growth in the digital era.

This study conducts a Systematic Literature Review to examine the relationship between job enrichment, the Human Resource Information System, and work–life balance on organisational performance through the mediating role of innovative work behaviour, with a particular focus on medium-scale Micro, Small, and Medium-Sized Enterprises. Drawing on Scopus-indexed publications from 2020 to 2025, the review identifies theoretical and empirical findings that highlight the importance of human resource practices and digital transformation in strengthening organisational innovation. The analysis reveals that job enrichment significantly enhances employee autonomy, engagement, and intrinsic motivation, which in turn fosters innovative work behaviour. Likewise, the Human Resource Information System contributes to performance improvement by increasing decision-making efficiency and supporting data-driven innovation processes. Meanwhile, work–life balance promotes creativity and reduces stress, thereby fostering an environment conducive to innovative thinking. Furthermore, innovative work behaviour is found to mediate the relationship between human resource practices and organisational performance by transforming individual innovation into collective organisational outcomes. These findings indicate that integrating the Human Resource Information System with job enrichment and work–life balance policies can substantially enhance the competitiveness and productivity of medium-scale Micro, Small, and Medium-Sized Enterprises. This study contributes to theoretical advancement in innovation-oriented human resource management and offers practical implications for developing adaptive human resource systems to ensure sustainable business performance in the digital era.

This study investigates Indonesia’s long-term economic transformation across four pivotal eras: the colonial period, the Old Order, the New Order, and the Reformasi era. Employing a descriptive qualitative design with historical analysis, the research elucidates how political transitions, institutional reforms, and global dynamics have interacted to shape the nation's economic architecture. Results indicate that colonial legacies entrenched deep structural inequalities and a dualistic economy, creating a path dependency that continued to influence policy direction after independence. During the Old Order, efforts to assert economic sovereignty were constrained by macroeconomic instability, limited state capacity, and shifting political coalitions. The New Order marked a turning point toward industrialization, macroeconomic stabilization, and openness to foreign investment, generating high growth but also deepening inequality and dependence on external capital. Entering the Reformasi era, decentralization, democratization of governance, and fiscal transparency reshaped institutional frameworks; however, persistent challenges such as regional disparities, productivity gaps, and vulnerability to global shocks remain evident. The study concludes that Indonesia’s economic evolution is non-linear, shaped by historical constraints and gradual institutional adaptation rather than abrupt shifts. Strengthening governance, enhancing domestic industrial competitiveness, and expanding inclusive development policies are essential strategies for supporting long-term resilience. These findings highlight the importance of continuity in policy reform to achieve sustainable growth and to realize the national vision of Indonesia Emas 2045.

The rapidly changing and increasingly uncertain business environment presents significant challenges for micro, small, and medium enterprises (MSMEs), requiring them to adapt quickly and strategically to survive and remain competitive. This conceptual article examines the role of business models as an effective adaptation strategy for MSMEs in responding to dynamic market conditions, technological change, and shifting consumer preferences. Through a comprehensive review of various business model frameworks and dynamic capability theories, this study emphasizes that business models play a crucial role in shaping organizational flexibility and strategic responsiveness. The findings highlight that adaptable value propositions enable MSMEs to continuously align their offerings with evolving customer needs, while agile resource management allows firms to efficiently reconfigure internal and external resources. Furthermore, continuous business model innovation and renewal are identified as essential mechanisms for sustaining long-term resilience and competitiveness. The article argues that a business model should not be viewed merely as an operational or administrative tool, but rather as a core strategic mechanism that integrates strategic vision, organizational capabilities, and market orientation. By actively leveraging flexible and innovative business models, MSMEs can enhance their adaptive capacity, mitigate environmental uncertainty, and achieve sustainable competitive advantage in rapidly changing business environments.

Significant changes occurring today are characterized by technological disruption, demographic shifts, globalization, and economic instability. The combination of these factors creates complex challenges for human resources (HR) in adapting and enhancing their capabilities. The purpose of this study was to examine the relationship between organizational commitment and perceptions of transformational leadership style with Organizational Citizenship Behavior of teachers in Surabaya. The research subjects were 397 teachers in Surabaya, East Java. The sampling technique used was purposive sampling. Data was collected through scale filling using Google Forms. The measurement instruments in this study were the Organizational Citizenship Behavior Scale, the Organizational Commitment Scale, and the Transformational Leadership Style Perception Scale. The data analysis used multiple linear regression analysis. The results showed that there was a significant positive relationship between organizational commitment and perceptions of transformational leadership style with Organizational Citizenship Behavior. The higher the organizational commitment and perceptions of transformational leadership style, the higher the Organizational Citizenship Behavior among teachers. There was a significant relationship between organizational commitment and Organizational Citizenship Behavior, and there was also a significant positive relationship between perceptions of transformational leadership style and Organizational Citizenship Behavior. The higher the perceptions of transformational leadership style, the higher the Organizational Citizenship Behavior among teachers.

This study examines the role of digital church music as a medium for evangelism and discipleship within the digital ecosystem. It employs a mixed methods approach using a sequential explanatory design, in which quantitative data collection is followed by qualitative exploration. Quantitative data were gathered through an online survey of at least 200 respondents to measure the intensity of digital worship music consumption, perceived gospel understanding, faith reflection, and spiritual engagement. Qualitative data were obtained through in-depth interviews with 15–20 key informants and digital content analysis of worship songs, service videos, and social media interactions. The findings indicate that digital church music contributes to strengthening gospel understanding, encouraging faith reflection, and expanding discipleship practices through online spaces. A moderate positive correlation between music consumption intensity and spiritual engagement suggests that music functions as a contextual medium for faith formation. This study highlights the importance of adaptive theological and pastoral strategies for church music ministry in the digital era.

This research explores the development of a participatory governance model for community based waste management systems, aiming to enhance both legal compliance and public social welfare outcomes. Community based waste management (CBWM) plays a critical role in addressing environmental and health challenges, yet its success is often hindered by weak governance structures, limited community involvement, and insufficient regulatory frameworks. The study introduces a governance model that integrates local community participation into decision making processes, encouraging ownership and responsibility among residents. The primary goal is to improve compliance with environmental regulations while promoting social welfare by fostering better public health and community cohesion. A review of literature highlights key theories of participatory governance, focusing on its ability to enhance legal adherence and increase social equity. Previous studies on CBWM demonstrate the potential of community involvement in overcoming barriers to legal compliance, such as weak enforcement and fragmented governance. However, challenges like inadequate infrastructure, socio economic factors, and cultural habits still impede full participation and compliance. The study utilizes a mixed methods approach, including stakeholder analysis, participatory workshops, and regulatory compliance assessments, to evaluate the effectiveness of the model. The results show that communities involved in participatory governance exhibit higher compliance with waste management laws, improved sanitation, and healthier living conditions. Furthermore, the model fosters social capital and community empowerment, contributing to long term sustainability. In comparison to centralized waste management systems, the participatory approach is found to be more adaptable, accountable, and socially accepted. While the model presents several benefits, challenges such as infrastructure limitations and cultural barriers remain. Future research should further investigate how to address these challenges, particularly through technological integration and cross sector collaborations, to ensure the scalability and sustainability of the participatory governance model.

This study explores the integration of customary law and government regulations in environmental protection, emphasizing the role of community perceptions in shaping effective legal frameworks. Marginal ecosystems, such as coastal areas, urban fringes, and sacred natural sites, often face vulnerability due to fragmented governance systems that fail to coordinate customary practices with formal legal structures. The research investigates how integrating local traditions and state regulations can enhance biodiversity conservation, improve community engagement, and ensure the long term sustainability of environmental management efforts. Findings reveal that when customary laws are formally recognized and incorporated into state regulations, they significantly enhance the legitimacy and effectiveness of conservation policies. Communities in regions like Bali, Indonesia, and Pacific Islands have shown that hybrid legal approaches, which respect traditional ecological knowledge, result in greater participation and trust in conservation activities. However, challenges such as administrative complexity, lack of standardized guidelines, and the need for adequate funding and support for community based governance hinder the full potential of this integration. The study highlights the importance of simplifying legal processes and fostering mutual understanding between customary practices and formal regulations to achieve successful ecosystem protection. This research emphasizes the need for policy reforms that ensure the inclusion of customary law in environmental governance frameworks, ultimately promoting a more inclusive, adaptive, and sustainable approach to managing marginal ecosystems.

Rapid This study examines the effectiveness of environmental legal instruments in addressing water access inequalities in multicultural rural communities. Despite the existence of various legal frameworks, disparities in water access remain prevalent, especially in rural areas where socio economic, cultural, and governance challenges persist. Legal instruments such as the Water Framework Directive (WFD) and the Clean Water Act (CWA) have proven effective in improving water quality and access in urban settings, but their impact in rural communities is often limited. The study explores the role of legal pluralism, where both statutory and customary laws coexist, in enhancing water governance. It also evaluates the importance of integrating cultural sensitivity into legal frameworks to foster community participation and sustainable water management. Through a mixed methods approach combining legal analysis and socio economic assessments, this study provides insights into the barriers to effective water governance and proposes policy recommendations for improving water access. Key findings suggest that inclusive governance models, which respect local customs and empower communities, lead to more sustainable and equitable water management outcomes. The study highlights the need for legal reforms that recognize the diverse cultural, governance, and infrastructural contexts of rural communities, ensuring that water access policies are both culturally adaptive and legally effective. By integrating these approaches, future policies can more effectively tackle water access inequalities in multicultural rural settings.  

Paid online matchmaking services that have developed through Facebook use consumer profiles to promote and find partners. This practice raises legal issues, particularly those related to consumer protection and the risk of digital harassment—also known as cyberbullying—in the form of derogatory, discriminatory, or offensive comments about consumers' personal standards that are displayed publicly. The purpose of this study is to assess the legal liability of business actors for cyberbullying when operating online matchmaking services and to assess the extent to which legal protection tools are available to consumers. This study uses a normative legal approach, utilizing case studies of legislation and conceptual studies on the practice of paid matchmaking services on social media. The results of the study show that businesses are required to guarantee the safety, comfort, and protection of consumer rights in all digital-based commercial activities, including managing content and interacting with people on social media. Non-material losses, such as psychological pressure and abuse of consumer dignity, are caused by a lack of supervision and a lack of moderate comment mechanisms. Therefore, regulations on personal data protection must be strengthened, content moderation responsibilities must be determined, and legal accountability mechanisms for business actors in the digital ta'aruf business must be made clear.

This article examines various guidance and counseling (BK) management models relevant to the context of modern education in Indonesia. The models discussed include POAC (Planning, Organizing, Actuating, Controlling) management, comprehensive BK services, school-based BK management, specialized service management, and the use of digitalization in BK services. This review was compiled using a literature review method, drawing on various credible national sources, such as scientific journals, reference books, and education policy documents. The purpose of this research is to provide an in-depth understanding of the characteristics, principles, and implementation of each BK management model in educational practice. The results indicate that each model has its own advantages and limitations, both in terms of service planning, resource management, and the effectiveness of service delivery to students. Therefore, the selection and implementation of a BK management model must be tailored to the needs of the school, the availability of professional staff, infrastructure, and student characteristics. The integration of a systematic, data-driven, and adaptive management approach to developments in information technology is a key factor in improving the quality and effectiveness of BK services. This article is expected to provide theoretical and practical contributions to school counselors, educators, and education policymakers.  

Generation Z, growing up in the digital era, faces various challenges in social, emotional, and academic adjustment in the school environment. This study aims to determine the effectiveness of individual planning services in improving the adjustment abilities of Generation Z students. A qualitative approach was used with a literature review from the past five years. The results of the study indicate that the use of digital technology to support students' personal development can help them better understand themselves, set goals, and plan adaptive steps. This service also plays a role in providing support and early intervention, which helps counselors shift from a reactive approach to a more proactive one. The findings of this study underscore the importance of changing the role of counselors, from being responsive to being more proactive and preventative, by integrating personal and technological approaches in the mentoring process. Therefore, guidance and counseling teachers are advised to design services that are more structured, participatory, and relevant to the unique characteristics of Generation Z. This will ensure that the services provided are more effective in helping students adjust to the school environment.

This study aims to examine self-confidence issues in elementary school students, particularly second-grade students at SDN 1 Gulang. Various problems identified included shyness, low self-confidence, fear of performing in front of the class, and a tendency to withdraw from social settings. This study used a qualitative approach with data collection techniques including interviews and observations to identify factors contributing to low self-confidence and the roles of teachers and parents in developing it. The results indicate that low student self-confidence is influenced by internal factors, such as fear, anxiety, and lack of courage, as well as external factors, including family parenting styles, the social environment, and learning experiences at school. Teachers play a strategic role by providing emotional support, positive motivation, and implementing active learning strategies that encourage student engagement. Furthermore, parents play a crucial role in providing guidance, supportive parenting styles, and appropriate social stimulation. This study concludes that efforts to improve student self-confidence require consistent and ongoing collaboration between teachers and parents.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.