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Integrated assessment is a multidisciplinary approach used in the judicial system to evaluate the psychological, social and medical conditions of legal subjects, particularly in cases involving children, victims of violence, persons with mental disabilities or defendants with psychological disorders. This study aims to examine the evidentiary strength of integrated assessment from juridical and psychological perspectives using a normative juridical approach. The findings reveal that although integrated assessments are recognized in legal practice, their status as admissible evidence is not yet explicitly regulated in criminal procedural law. From a psychological perspective, such assessments possess high scientific value and can provide an objective overview of the subject’s condition. However, limited understanding among legal practitioners regarding the interpretation of assessment results remains a major challenge. Therefore, regulatory harmonization and cross-sectoral capacity building are needed to optimize the function of integrated assessments in court proceedings.

Learning evaluation plays a central role in ensuring the success of the educational process, especially in mathematics learning at Vocational High Schools (SMK) that require integration between theory and practice. This study aims to comprehensively analyze the implementation of formative and summative evaluations at SMK N 6 Padang. Using a descriptive qualitative approach, data was obtained through observations, in-depth interviews, and document analysis. The results show that formative evaluations are carried out systematically through essay tests, contextual quizzes, discussions, and observations of student participation. This evaluation can monitor learning progress, encourage active engagement, and strengthen students' conceptual understanding. Meanwhile, summative evaluations are consistently applied using multiple-choice questions that encompass low-order thinking skills (LOTS) to high-order thinking skills (HOTS). in line with the learning objectives and curriculum. Both forms of evaluation have proven to be very effective, based on teacher observations and feedback. Although not all aspects were followed up explicitly, the assessment mechanisms applied reflect the principles of modern evaluation that are adaptive, fair, and competency-based. It can thus be concluded that the evaluation is running very effectively at 88.88%, and the evaluation implementation at SMK N 6 Padang not only succeeded in measuring student achievement but also became an instrument to strengthen the quality of learning relevant to the demands of industry and the developments in 21st-century education.

This study analyzes the judicial considerations in sentencing a perpetrator of money laundering originating from investment fraud, using the case of Decision Number 336/Pid.B/2023/PN Jkt.Pst as a reference. The defendant, Iwan Sabar, was proven to have employed a sophisticated scheme involving multiple fictitious entities to deceive victims and conceal the proceeds of crime. The analysis reveals that the judge applied a systematic legal and factual approach, including the principles of continuous acts (voortgezette handeling) and concursus realis between fraud and money laundering. In terms of penal objectives, the ruling reflects retributive and deterrent goals through a 10-year prison sentence and a fine of IDR 4 billion. However, rehabilitative and restorative aspects remain underdeveloped due to the absence of specific rehabilitation programs and a lack of clear mechanisms for victim compensation. Therefore, it is recommended that penal policies for economic crimes emphasize not only punishment but also victim recovery and offender reform in alignment with modern criminal justice principles.

This study uses a qualitative method with a literature review approach to examine the effectiveness of the two-phase method in solving linear programming problems. The two-phase method is one of the techniques in linear programming used when the objective function does not have a feasible initial solution directly. Through the exploration and analysis of various scientific literature sources from 2019 onwards, this study finds that the two-phase method can systematically provide optimal solutions, especially in complex problems with multiple constraints. Previous research has shown that this method is effective in accelerating the identification of basic feasible solutions and minimizing unnecessary iterations compared to the standard simplex method. Additionally, the two-phase method offers better numerical stability and high reliability in both industrial and educational applications. However, its effectiveness largely depends on the understanding of the algorithm and the ability to design an appropriate mathematical model. The results of this study are expected to contribute theoretically to the development of efficient solution techniques for linear optimization problems.

Employee performance represents the ability to fulfill tasks and responsibilities according to organizational standards. At UPTD Puskesmas Kosambi, the evaluation of Non-Civil Servant (Non-ASN) healthcare workers is still done manually and tends to be subjective, primarily based on attendance. This study aims to address the issue by developing a decision support system using the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. A descriptive-applied approach and the waterfall development model were employed. Five evaluation criteria were used: attendance (25%), service quality (35%), report timeliness (20%), patient complaints (10%), and lateness (10%). Data from 20 Non-ASN healthcare workers in April 2025 were analyzed, with Anis Julianti achieving the highest MOORA score of 0.3839. The system underwent validation through black-box testing and user acceptance testing (UAT), both confirming its accuracy and usability. The findings were compared with previous studies. Harningsih et al. (2024) used the MOORA method for promotion evaluations at the North Sumatra Provincial Inspectorate Office and recorded a top score of 0.3616. Dewi Yohana br Ginting et al. (2024) applied the method at a beauty clinic and found a top score of 0.3747. These comparisons indicate that the MOORA results in this study fall within a consistent and valid range. The developed decision support system is expected to enhance the objectivity, transparency, and accountability of performance evaluations for Non-ASN employees in primary healthcare services, offering a more comprehensive alternative to manual assessment methods.

Employee engagement and talent management methods' impact on Perumda Tirta Kahuripan Bogor Regency's retention rates is the primary research objective of this study.  The high turnover rate is the company's biggest issue since it threatens the long-term viability of the business.  The study team at Perumda Tirta Kahuripan used a quantitative approach by surveying 70 workers to gather data.  Both basic and multivariate linear regression were used to evaluate the data.  The findings demonstrated that talent management and employee engagement both contribute to a more loyal workforce and boost retention rates.  According to the modified R-squared value of 58.7%, the effect on employee retention can be explained by 58.7% by combining the factors of talent management and employee engagement. The remaining portion is impacted by variables that were not included in this research.  In order to keep a competent staff and loyal customers, these results show that talent management and enhanced employee engagement are crucial.

Currently the growth of culinary is increasingly competitive, Every small medium enterprise must pay attention to the strategies to retain consumers. Promotion and product quality can influence the consumer's purchasing decisions. The objective of this research was to analyze the effect of promotion and product quality on purchasing decisions of Sokressh Malang chips. This research was a quantitative research with variables of promotion and product quality as independent variables while purchasing decisions as the dependent variable. The data collection was conducted by distributing questionnaires from 100 respondents who were instagram followers of Sokressh Malang chips. The respondents were selected through the purposive sampling method. The methods of data analysis used multiple regression analysis and hypothesis testing. The conclusion of this study is that promotion and product quality partially and simultaneously have a positive and significant effect on purchasing decisions for Sokressh Malang chips. It is expected that Sokressh Malang chips can make more attractive promotion, and innovattions on products by improving the product quality, in order that the consumers will be interested to buy Sokressh Malang chips.

This study aims to analyze the effectiveness of collaborative governance between PDAM Kota Surabaya and PT Sarana Multi Infrastruktur (SMI) in improving drinking water services. The main research question is how this collaborative governance is implemented and what factors influence its effectiveness. Collaborative governance, according to Ansell and Gash's theory, is a joint decision-making process involving public and private sectors to achieve common goals. This approach enables synergy between government and private companies in addressing resource limitations. The research method used is a qualitative approach with a case study, through in-depth interviews, participatory observation, and document analysis. The results show that this collaboration improves the efficiency of clean water distribution, although there are challenges such as differing objectives and resource allocation. Factors such as trust, commitment, and effective communication play a crucial role in the success of the collaboration. The implications of this study highlight the importance of inclusive institutional planning and policy design that supports cross-sector collaboration to strengthen public service provision. This research contributes to the development of the collaborative governance concept in the drinking water supply sector and provides recommendations for government and private sectors to improve the quality of clean water services for the wider community.

This study explores the enduring legacy of Islamic legal scholarship and its significant influence on both historical and contemporary legal systems, with a particular focus on the multifaceted nature of Sharia. The research addresses the issue of misunderstanding Islamic law as rigid and outdated by highlighting its historical adaptability and intellectual richness. The primary objective is to examine how Islamic jurisprudence, particularly through the principles of Maqasid al-Shariah, has shaped legal systems and continues to inform debates on justice, human rights, and legal pluralism. Utilizing a qualitative library research methodology, the study analyzes classical Islamic legal texts, juristic methodologies, and modern interpretations to trace the evolution of Sharia from its foundational sources—the Quran and Hadith—to its integration into systems like the Ottoman and Mughal legal frameworks. The findings reveal that Sharia is not merely a codified set of rules, but a comprehensive ethical system responsive to context through tools such as Ijtihad, Qiyas, and Istislah. Moreover, the influence of Islamic law extends beyond the Muslim world, contributing to discourses on legal pluralism and ethical governance globally. Ultimately, the study demonstrates the continued relevance of Islamic legal tradition in shaping contemporary legal and moral thought in Muslim-majority societies and beyond.

This study investigates the influence of village government human resource (HR) competence and information technology (IT) utilization on the accountability of village fund management, with empirical evidence drawn from villages in Pringsewu Regency, Indonesia. The research addresses critical concerns about the underperformance and misuse of village funds, often linked to weak HR capabilities and limited IT adoption. The primary objective is to examine how HR competence and IT usage affect financial accountability in village fund management. Utilizing a quantitative approach, this study surveyed 91 village officials across 13 villages using a structured questionnaire, applying multiple linear regression analysis for hypothesis testing. Findings reveal that both HR competence and IT utilization significantly and positively influence accountability, suggesting that skilled personnel and effective use of digital systems enhance transparency and financial governance. The results support the Technology Acceptance Model (TAM) and stewardship theory, emphasizing the importance of reliable personnel and technological systems in public financial management. The study concludes that strengthening human resource capacity and advancing IT infrastructure are critical steps in ensuring accountable village fund management, especially in rapidly developing regions such as Pringsewu Regency.

This study examines the capacity of regional bureaucracies to implement inclusive economic development policies within the decentralised governance framework. As developing nations increasingly prioritize inclusive growth, the effectiveness of local government institutions becomes crucial for policy success. This research evaluates the bureaucratic capacity of regional governments through multiple dimensions including human resources, institutional frameworks, financial capabilities, and coordination mechanisms. Using a mixed-methods approach combining quantitative assessments and qualitative case studies from selected regional governments, this study identifies key factors that enhance or constrain bureaucratic capacity in promoting inclusive economic development. The findings reveal significant variations in capacity across regions, with institutional quality, leadership commitment, and inter-agency coordination emerging as critical determinants of implementation effectiveness. The study provides recommendations for strengthening regional bureaucratic capacity to better serve inclusive development objectives.

This study examines technological innovation in environmental policy in Pelalawan Regency, Riau, a region known for its abundant forest resources but facing serious environmental pressures due to forest degradation, land fires, and industrial pollution. The primary objective of this research is to identify policy innovations that can enhance environmental management and support sustainable development that harmonizes economic and ecological aspects. The methodology employed is a qualitative approach with a case study design, involving interviews, participatory observation, and document analysis. The findings indicate that the implementation of technologies such as Internet of Things (IoT)-based air quality sensors and Geographic Information Systems (GIS) has improved the effectiveness of environmental management. However, challenges such as limited human resource capacity, uneven technological infrastructure, and bureaucratic resistance continue to hinder innovation implementation. This study recommends strengthening digital infrastructure, revitalizing the licensing system, and fostering multi-stakeholder collaboration as strategic steps toward improved environmental governance. With an inclusive and sustainable approach, Pelalawan Regency has the potential to become a model for sustainable development in Indonesia.

The performance of data mining techniques has been proven accurate in many studies, but each method in data mining techniques has different accuracy depending on the type of data that is the object of research. Methods in data mining techniques are divided into several functions, namely: clustering, association, classification, and prediction, where each data mining technique objective has a superior method. Therefore, in this case the author will compare the performance of the multiple linear regression method, and neural networks with fuzzy mamdani in predicting the income of PLN Unit Takengon. In several studies, the Backpropagation method shows the highest accuracy compared to other methods. Then the prediction model with multiple linear regression also has the highest accuracy as well as the Fuzzy Mamdani method has high accuracy too. Therefore, the purpose of this study is to compare the three methods, so that it can be determined which method has a higher accuracy value. The results of this study indicate that the Back propagation method has the highest accuracy and the lowest average error, namely a MAPE value of 5.9% with an accuracy of 94.1% and an RMSE of 14398.14, followed by the multiple linear regression method obtaining a MAPE value of 6.9% with an accuracy of 93.1% and an RMSE of 15527.41, then for Fuzzy Mamdani obtaining a MAPE value of 7% with an accuracy of 93% and an RMSE of 16077.76.

The concept of ‘abandoned land’ in the Basic Agrarian Law (UUPA) No. 5 of 1960 faces interpretation challenges that impact the effectiveness of the management of unproductive Cultivation Rights (HGU). This research aims to analyse the reconstruction of the concept of abandoned land in UUPA and its implications for the management of unproductive HGU to support the optimisation of agricultural land use. This research is conducted through normative juridical with qualitative descriptive analysis of laws and regulations, court decisions, and related literature. The research findings show that the concept of abandoned land in the UUPA is still multi-interpretive, especially regarding the criteria of ‘not being cultivated according to the circumstances or nature and purpose of the right’. This has led to inconsistencies in the application of sanctions against HGU holders who leave their land unproductive. Concept reconstruction is needed by clarifying the objective parameters of productivity, the period of neglect, and law enforcement mechanisms. The implications of this research indicate the need for regulatory revisions to strengthen legal certainty in HGU management, as well as the development of more effective policy instruments to prevent abandonment of agricultural land to support national food security and social justice in agrarian reform.

This article examines the roles and applications of various types of psychological tests in personality assessment, particularly contrasting projective tests with objective tests. Psychological tests are not intended to determine pass or fail outcomes, but rather to gain a deep understanding of an individual’s psychological aspects. Projective tests, such as the Rorschach Inkblot Test and the Thematic Apperception Test (TAT), are utilized to reveal latent personality traits through ambiguous stimuli. In contrast, objective tests like the Minnesota Multiphasic Personality Inventory (MMPI) and the Edwards Personal Preference Schedule (EPPS) are designed to produce consistent and quantifiable data. This study employed a library research method, reviewing both primary and secondary sources to provide a comprehensive overview. In counseling practice, the choice of psychological test depends on the assessment goals and the client's conditions. The article emphasizes the necessity for professional competence and ethical considerations, including cultural sensitivity and the ability to accurately interpret test results.

This study explores human resource development (HRD) strategies to enhance organizational performance in the public sector, addressing challenges related to employee competence, engagement, and institutional effectiveness. The research aims to identify the most impactful HRD practices that support sustainable performance improvements. A quantitative research method was employed, involving a survey of 150 public sector employees across multiple government agencies. Data were analyzed using descriptive statistics and multiple regression to examine the relationship between HRD strategies and organizational performance. Findings indicate that targeted training programs, career development initiatives, performance appraisal systems, and knowledge-sharing mechanisms significantly influence employee productivity, job satisfaction, and organizational efficiency. Moreover, strategic HR planning and leadership development emerged as critical factors for aligning individual capabilities with organizational goals. The study highlights the importance of continuous investment in human capital as a driver of public sector innovation and service quality. Practical implications suggest that policymakers and managers should prioritize comprehensive HRD frameworks to foster employee engagement and institutional performance, ensuring adaptability in dynamic administrative environments. By emphasizing the integration of HRD strategies with organizational objectives, the research contributes to both theoretical understanding and actionable guidance for public sector human resource management.  

Research on the preservation of local culture amidst globalization emphasizes the importance of a systematic educational strategy aligned with government policy. The main focus of this study is the role of educational institutions in introducing and maintaining the sustainability of Simalungun culture, considering that the cultural knowledge of the younger generation is declining due to modernization and the influence of the media. The research objective was to develop and evaluate SIMALOKA, an artificial intelligence-based framework with a teacher-in-the-loop approach that integrates Simalungun language, arts, rituals, and crafts into both formal and non-formal curricula. The method used combines natural language processing to tag content, a knowledge graph to map cultural concepts and skills, and a multi-objective optimization algorithm to develop balanced learning modules according to the cultural calendar. The system was tested using a dataset containing 1,850 cultural learning objects and produced modules with an average cultural coverage deviation of 3.4%, a content relevance score of 0.92, and an engagement rate of 87.1%, superior to two state-of-the-art baseline models. The results show that the combination of AI-based optimization and human validation can maintain cultural authenticity while significantly increasing student participation. These findings strengthen the hypothesis that context-sensitive, technology-based curriculum design can strengthen local cultural identity without neglecting educational policy demands. The study's conclusions confirm that SIMALOKA is a large-scale model that can be adapted to other local cultures, providing important implications for policymakers, educators, and cultural organizations in maintaining the sustainability of cultural heritage. Future research directions are directed at assessing long-term retention, resource constraints, and cross-cultural adaptation to make cultural preservation more inclusive and effective.

This study aims to examine the effect of Work Life Balance (WLB) and Job Satisfaction (JS) on employee performance at PT PLN ULP Banjarbaru, both jointly and individually, while also identifying the most dominant factor influencing performance. The research background is based on theoretical frameworks, expert opinions, and the researcher’s direct observations of workplace conditions. To achieve the research objectives, hypotheses were formulated and tested using empirical data. The study employed a quantitative approach with a saturated sampling technique, involving the entire employee population. A total of 37 respondents participated as the research sample. The collected data underwent validity and reliability testing to ensure the accuracy and consistency of the measurement instruments. Furthermore, classical assumption tests were performed to meet the requirements of multiple linear regression analysis. The results of the analysis demonstrate that both Work Life Balance and Job Satisfaction have a significant effect on employee performance, both simultaneously and partially. Among the two independent variables, Work Life Balance was identified as the most dominant factor influencing performance, indicating that employees who maintain a better balance between their personal and professional lives tend to perform better in their work. The adjusted R² value of 0.862 signifies that 86.2% of the variation in employee performance can be explained by the two independent variables studied, while the remaining 13.8% is influenced by other variables not included in this research model, such as leadership style, work motivation, or organizational culture. These findings highlight the importance of maintaining a healthy work-life balance and ensuring job satisfaction to optimize employee performance. The study suggests that organizations should implement policies and practices that promote flexibility, support employee well-being, and foster a positive work environment to enhance both individual and organizational outcomes.

  The current warming trend is a negative externality of human activities since the mid-1800s and is proceeding at a pace unprecedented over the past millennia, such as increased energy consumption leading to an increase in the concentration ofCO2 gas and other gases in the atmosphere. CO2 gas has the largest contribution to global warming at about 56%. Increased energy consumption that causes an increase inCO2 gas because the use of energy consumption in Indonesia is still dominated by fossil energy consumption produced from fossil fuels and often uses technology that is not environmentally friendly so that it can trigger an increase in Greenhouse Gas (GHG) emissions which is the largest contributor to global warming. In response to this warming trend, Indonesia has ratified the Kyoto Protocol in 1997 into Law Number 17 of 2004 and the Paris Agreement into Law Number 16 of 2016 in an effort to reduce the temperature rise limit to 1.5°C above the earth's temperature in pre-industrial times. The objectives of this study are (1) To analyze the effect of electricity consumption and fossil fuel consumption simultaneously on the negative externalities of GHG emissions in Indonesia. (2) To analyze the effect of electricity consumption and fossil fuel consumption partially on the negative externalities of GHG emissions in Indonesia. The data used is secondary data, with multiple linear analysis techniques. The results showed that (1) Electricity consumption and fossil fuel consumption simultaneously affect the negative externalities of GHG emissions in Indonesia. (2) Electricity consumption partially has a positive and significant effect on the negative externalities of GHG emissions in Indonesia. (3) Fossil fuel consumption partially has a positive and insignificant effect on the negative externalities of GHG emissions in Indonesia. Keywords: Greenhouse Gas, Negative Externalities, Energy Consumption, Electricity Consumption, Fossil Fuel Consumption

The agricultural sector, particularly the food crop subsector namely rice plays a crucial role in the regional economy, especially in ensuring the supply of staple food. Tabanan Regency, located in Bali Province, is widely recognized as the "rice barn" of the region. Despite its substantial rice production, the region faces a significant threat from land-use conversion, which endangers the area of rice fields in Tabanan Regency. Penebel District, as the largest rice-producing area in the regency, is particularly vulnerable to this phenomenon. The objectives of this study are: (1) to analyze the simultaneous effect of harvested land area, labor, and working capital on rice production in Penebel District, Tabanan Regency; and (2) to analyze the partial effect of harvested land area, labor, and working capital on rice production in the same region. This study uses primary data collected through interviews using questionnaires with 100 rice farmers selected using proportionate stratified random sampling. The analytical method employed is multiple linear regression analysis using the EViews software. The results indicate that: (1) harvested land area, labor, and working capital simultaneously have a significant effect on rice production in Penebel District, Tabanan Regency; and (2) harvested land area and working capital have a positive and significant partial effect on rice production, while labor does not have a significant effect.