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Islam Nusantara is a religious concept in Indonesia characterized by moderation, inclusiveness, adaptability to local culture, and emphasizing tolerance. The implementation of these values ​​in school religious practices has been inconsistent due to differing perspectives and rejection of local traditions. The purpose of this study is to describe the forms of school religious traditions, analyze the implementation of Islam Nusantara values ​​in these traditions, identify supporting and inhibiting factors, and explain their impact on student character. The research method used was a qualitative approach with a case study design. The research location was Qurrota A'yun Elementary School in Purwakarta. Data were collected through interviews, observation, and documentation. Based on the results of the study, the Principal and Islamic Religious Education Teachers understand the concept of Islam Nusantara as a harmonious integration of Islam with local culture within the corridors of faith and sharia. Its implementation is realized through structured religious traditions (the culture of greetings, dhuha prayer, murojaah, etc.) that successfully integrate local wisdom. A significant impact is an increase in politeness, tolerance, religiosity, and respect for local culture among students. Supporting factors include school leadership and teacher-parent collaboration, while differences in understanding become obstacles that are overcome through intensive communication. The implementation of Nusantara Islamic values ​​in school religious traditions has proven effective in shaping students' character to be moderate, tolerant, and respectful of tradition. Schools are advised to strengthen program planning with written guidelines and a measurable evaluation system to monitor character development on an ongoing basis.

This study aims to determine the influence of work discipline (variable X1) and work culture (variable X2) on employee performance (variable Y). The research method used is a descriptive and verifiable method with a quantitative approach. Data collection techniques include observation, interviews, documentation, and literature studies to obtain comprehensive and relevant data for the purpose of the research. Data analysis techniques are carried out systematically, starting from the data compilation process, data tabulation, to the hypothesis testing stage. Data analysis uses multiple linear regression to determine the influence of each independent variable on the dependent variable. The results showed that the determination coefficient (R²) value was 69.8%, which means that work discipline and work culture simultaneously have a significant effect on employee performance. Meanwhile, 30.2% of employee performance was influenced by other factors outside of the study, such as motivation, work ability, leadership, personality, job satisfaction, work environment, and employee loyalty. Thus, it can be concluded that improving work discipline and a positive work culture plays an important role in improving.

The economic valuation of natural resources (NR) is an important instrument in supporting evidence-based decision-making, particularly in sustainable environmental management. Cost–Benefit Analysis (CBA) serves as a primary approach to assess the economic feasibility of programs or policies by integrating all benefits and costs, including non-market values. This article presents a systematic literature review of studies employing CBA for NR valuation during the period 2010–2024, based on searches in Scopus, Web of Science, ScienceDirect, SpringerLink, Taylor & Francis, and Google Scholar, using stringent selection criteria. The review findings indicate that CBA has been widely applied in forest management, biodiversity conservation, land rehabilitation, water and air pollution control, and ecotourism development, providing a quantitative depiction of economic feasibility through indicators such as Net Present Value (NPV), Benefit–Cost Ratio (BCR), and Internal Rate of Return (IRR). Key challenges were identified in non-market valuation, long-term uncertainty, data limitations, and sensitivity to discount rate assumptions. These findings underscore the importance of integrating environmental valuation methods, conducting comprehensive sensitivity analyses, and adopting multidisciplinary approaches to strengthen the application of CBA in sustainable NR management, while also offering strategic recommendations and directions for future research for policymakers and environmental economics scholars.

The E-Kinerja Program is a policy innovation developed by the Madiun City Government to support the digitalization of civil servant performance management as part of bureaucratic reform and the implementation of the Electronic-Based Government System (SPBE). This study aims to evaluate the implementation of the E-Kinerja Program in Madiun City using six policy evaluation criteria proposed by William N. Dunn, namely effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. This research employs a qualitative descriptive approach, with data collected through interviews, direct observation of the E-Kinerja application usage, and documentation review of related policies. The findings indicate that the E-Kinerja Program is relatively effective and efficient in supporting the monitoring of civil servant attendance and daily activities through features such as QR Code-based attendance, photo documentation, and daily activity reporting. However, several challenges remain, including unstable GPS accuracy, limited internet connectivity, and the practice of non real time input of daily activities. In addition, differences in digital literacy levels and device compatibility among civil servants affect the equitable utilization of the application. Overall, the implementation of the E-Kinerja Program is considered appropriate as part of bureaucratic digital transformation in Madiun City, although further improvements in technical aspects and human resource capacity are required to optimize its implementation.

A literature review on the implementation and evaluation of Convergence Action to Reduce Stunting in Indonesia was conducted as a comprehensive study to understand national patterns, challenges, and factors determining the success of the program. This study aims to examine the effectiveness of cross-sectoral interventions, identify structural barriers, and formulate strategic recommendations for strengthening stunting reduction governance. The method used was a Systematic Literature Review (SLR) with the PRISMA 2020 model, utilizing Crossref and Google Scholar sources through the Publish or Perish application. Of the articles found, only nine studies met the inclusion criteria and were analyzed using a thematic approach based on the CIPP framework. The SLR results showed that in terms of context, government regulations and commitment were strong, but there were geographical disparities, poor sanitation, and low nutrition literacy that affected program outcomes. In terms of inputs, limitations in nutrition human resources, facilities, funding, and the quality of e-PPGBM data were the main obstacles. In terms of process, the implementation of the 8 Convergence Actions has been carried out but remains partial, with suboptimal integration between OPDs and monitoring that has not yet produced adequate feedback. In terms of output, service coverage has increased, but the decline in stunting rates has been inconsistent across regions. The research results emphasize the importance of strengthening human resource capacity, data integration, cross-sectoral coordination, and adapting programs based on local contexts to ensure the accelerated and sustainable reduction of stunting.

Minister of Culture Fadli Zon's controversial statement, casting doubt on the existence of mass rape in the May 1998 Tragedy, sparked a strong public reaction, particularly from victims and human rights activists. This study aims to analyze Fadli Zon's statement as a form of identity politics in the context of contemporary Indonesian politics. This research uses a descriptive qualitative method with a discourse analysis approach to public statements, media coverage, and official documents such as reports from the National Commission on Violence Against Women and the Joint Fact-Finding Team (TGPF). The results show that Fadli Zon's statement is not merely a personal view, but rather a representation of identity politics that has the potential to obscure historical truth and reinforce social polarization. The identity politics that emerged in this discourse demonstrates how political power can influence the construction of national history and marginalize minority groups, particularly Chinese women victims of sexual violence. This study emphasizes the importance of historical honesty and the moral responsibility of political elites in preserving the nation's collective memory.

Article 20 of the Personal Data Protection Law (PDP Law) normatively regulates the protection of data subjects and constitutes a pivotal provision that underscores the principle of consent as the legal basis for the processing of personal data for commercial purposes. This normative framework safeguards individuals’ right to privacy, encompassing the validity of explicit consent, the right to withdraw such consent, and the accountability of data controllers. In parallel, Articles 65 to 70 of the PDP Law substantively establish various categories of criminal offenses within the context of personal data protection. These include the unlawful acquisition, disclosure, processing, falsification, and utilization of personal data. Collectively, these provisions reflect the State’s commitment to ensuring criminal legal protection against violations of personal data.This research adopts a doctrinal legal methodology with a descriptive-normative approach to address two primary issues: First, to examine and identify the scope of legal protection concerning the trade of personal data under the PDP Law; and Second, to assess and determine the degree of legal certainty afforded to the trade of personal data within the framework of the PDP Law.Notwithstanding the protective intent embodied in Article 20—particularly concerning the commercial use of personal data—this provision gives rise to legal uncertainty due to the absence of comprehensive regulatory clarity on several critical aspects. Similarly, Articles 65 to 70 continue to exhibit significant legal ambiguities, particularly with respect to the constituent elements of offenses, the definition of harm, corporate liability, regulatory overlap with other legislative instruments, and the lack of clear enforcement mechanisms and implementing institutions.

The increasing trend of secondhand clothing consumption, commonly known as thrift shopping, reflects a major shift in consumer behavior. This study aims to analyze the influence of product quality, price, and lifestyle on consumers’ purchase decisions for secondhand clothing at the Tugu Pahlawan Sunday Morning Market in Surabaya. This research employed a quantitative approach using a non-probability sampling design. Primary data were obtained from 167 respondents through structured questionnaires utilizing a five-point Likert scale. Data analysis was conducted using multiple linear regression with the support of SPSS software, preceded by validity, reliability, and classical assumption tests. The results show that product quality, price, and lifestyle simultaneously have a significant influence on purchase decisions. Partially, product quality and lifestyle have a positive and significant effect, while price shows a weaker but still significant influence. These findings indicate that consumers’ decisions to purchase secondhand clothing are not solely driven by low prices but also influenced by perceived product quality and lifestyle preferences. This study contributes to the understanding of consumer behavior in informal markets and provides practical implications for business practitioners and policymakers to enhance sustainable consumption patterns.

Regional financial management in the era of decentralization demands absolute transparency and accountability from local governments to the public. This article is the result of a Public Sector Audit Project aimed at critically analyzing the interrelationship among the three main pillars of auditing: financial accountability, regulatory compliance, and performance effectiveness through the Value for Money framework (3E: Economy, Efficiency, and Effectiveness). The methodology employed is descriptive qualitative research using document analysis techniques on Audit Reports (Laporan Hasil Pemeriksaan/LHP) and regional financial management regulations. The findings reveal an “accountability paradox,” where the achievement of an Unqualified Opinion (Wajar Tanpa Pengecualian/WTP) does not fully correlate with the absence of corruption practices or improvements in public welfare. The study identifies procurement of goods and services as well as grant expenditures as areas particularly vulnerable to non-compliance. Furthermore, the effectiveness aspect of budgeting is often neglected due to the predominantly administrative focus of audits. This article recommends transforming the role of Government Internal Supervisory Apparatus (APIP) into strategic partners, strengthening auditor independence, and integrating information technology–based audits to mitigate maladministration risks and ensure tangible economic benefits for society.

This study evaluates the legal perspective concerning business competition in Indonesia regarding alleged abuse of dominant power in the competition between digital platforms TikTok Shop (including the acquisition of Tokopedia) and Shopee. The method applied is normative juridical with a case study approach, referring to Law Number 5 of 1999, particularly Articles 19–21 related to market control and Article 20 concerning below-cost selling practices. The analysis focuses on inter-platform integration, aggressive discount strategies, use of cross-platform data, as well as post-acquisition behavior that may hinder healthy competition. The assessment is conducted by considering market structure, business actors' behavior, and law enforcement efforts by the Business Competition Supervisory Commission (KPPU). Research findings indicate that although TikTok Shop has strong competitiveness following the acquisition, proving the existence of abuse of a dominant position requires meeting legal and economic provisions rigorously. Therefore, the implementation of conditional approval and remedial measures by the KPPU is considered a reasonable step to maintain a healthy business competition environment in the digital era.

This study aims to comprehensively examine the role of social media influencers in shaping public opinion among university students through a literature review approach. The background of this research is based on the rapid development of information technology and social media, which has given rise to influencers as new communication actors with strong influence in the digital public sphere. Influencers act as opinion leaders who not only deliver information but also frame messages, construct narratives, and disseminate various issues to their audiences. University students are selected as the focus of this study because they represent an active, critical group of social media users who are highly exposed to digital content. The research method employs a literature review by analyzing various national and international scholarly journals relevant to the topics of influencers, social media, and public opinion formation. The findings indicate that influencers have a significant impact on shaping students’ mindsets, attitudes, perceptions, and attention toward social, political, cultural, and lifestyle issues. Factors such as credibility, popularity, and the intensity of interaction between influencers and their audiences play an important role in determining the effectiveness of this influence. Based on these findings, it can be concluded that social media influencers play a strategic and increasingly dominant role in the process of public opinion formation among university students in the era of digital communication.

The phenomenon of students displaying lazy attitudes and a lack of learning motivation represents a major challenge in the teaching and learning process of Islamic Religious Education (PAI) in various schools across Indonesia. This condition has a direct impact on low levels of student engagement and the achievement of expected learning objectives. This article provides an in-depth analysis of the multidimensional causes of this phenomenon, including internal student factors such as learning interest, levels of self-efficacy, intrinsic motivation, and learning styles, as well as external factors encompassing the role of teachers, particularly in the selection of instructional methods, classroom management, and pedagogical interactions. In addition, the family environment, peer influence, and digital culture are also important factors affecting students’ learning motivation. The article also presents various practical and integrated strategies that can be implemented by PAI teachers to enhance students’ learning motivation. The proposed approaches include strengthening value-based classroom management rooted in Islamic principles, applying active, participatory, and contextual learning methods, and reinforcing collaboration between schools and families in building a positive learning culture. Using a descriptive qualitative approach and classroom action research (CAR), the analysis shows that teachers’ emotional engagement, the implementation of educational reward systems, reflection on religious values, and experiential learning are able to increase students’ intrinsic motivation. This study implies the importance of curriculum innovation and strengthening professional development for PAI teachers to better orient learning toward fostering students’ enthusiasm for learning and the sustainable development of religious character in the digital era.

The process of determining scholarship eligibility often faces challenges related to subjectivity and uncertainty in assessment criteria, which can result in inaccurate and unfair decisions. Scholarship selection generally involves multiple criteria, such as academic achievement, family economic conditions, and supporting factors that are difficult to evaluate using conventional decision-making methods. Therefore, an appropriate decision support approach is required to handle such uncertainty effectively. This study aims to implement the Fuzzy Mamdani method in a decision support system to determine scholarship eligibility more objectively and accurately. The research method consists of data collection, fuzzification of input variables, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification using the centroid method to obtain a crisp eligibility value. The results show that the Fuzzy Mamdani method is capable of producing flexible eligibility scores by considering the degree of membership of each criterion. The generated output reflects real conditions more comprehensively compared to traditional methods. The implementation of this method can assist decision-makers in improving transparency, consistency, and fairness in scholarship selection. This research is expected to contribute to the development of intelligent decision support systems in the field of educational assessment.

The process of determining eligibility for social assistance recipients is often constrained by subjective assessments and uncertainty in decision-making criteria. This condition can lead to inaccurate targeting and unfair distribution of aid. Therefore, an appropriate decision support method is required to handle data uncertainty effectively. This study aims to apply the Fuzzy Mamdani method to determine the eligibility of social assistance recipients based on several assessment criteria. The criteria used in this study include monthly income, number of dependents, and housing conditions. The research method consists of data collection, fuzzification, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification to obtain a crisp output value. The results show that the Fuzzy Mamdani method is able to classify recipients into eligible and non-eligible categories more flexibly compared to conventional methods. The generated eligibility values reflect real conditions more accurately by considering degrees of membership for each criterion. The implementation of this method can assist decision-makers in improving the accuracy, objectivity, and fairness of social assistance distribution. This research is expected to contribute to the development of intelligent decision support systems in the social welfare sector.

The dynamic fluctuations in stock prices present a major challenge for investors in making informed decisions. To anticipate such uncertainties, forecasting methods that can provide accurate predictions are required. This study compares two time series forecasting methods Autoregressive Integrated Moving Average (ARIMA) and Double Exponential Smoothing (Holt) in predicting the stock prices of PT Telkom Indonesia (TLKM). The dataset consists of monthly closing prices from January 2018 to December 2023. The performance of each model is evaluated using three error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The results show that the ARIMA(1,1,1) model yields higher predictive accuracy than the Holt method, with MAE of 787.71, MSE of 771,844.2, and RMSE of 878.55. In contrast, the Holt method records a MAE of 837.19, MSE of 878,393.4, and RMSE of 937.23. These findings confirm that ARIMA is superior in capturing the complex patterns of stock price movements and is more effective in volatile market conditions such as the stock exchange.

Mathematics is a core subject that develops critical thinking skills; however, many third to fifth-grade elementary school students face difficulties with conventional teaching methods that tend to be uniform and less adaptive. This study aims to develop and implement a mobile-based educational game, "Ethno Run," which integrates the Bayesian Knowledge Tracing (BKT) algorithm to provide an adaptive learning experience. The method used is Research and Development (R&D) with the Multimedia Development Life Cycle (MDLC) framework. The system uses BKT to track students' mastery in real-time by analyzing their responses to pre-tests and exercises within the game, which then adjusts the difficulty level and focuses the post-test on areas identified as weak, such as arithmetic operations and geometry. The findings show that this adaptive approach significantly improves learning outcomes, with the average score increasing from 44.33 on the pre-test to 85.33 on the post-test among 30 students. This study concludes that the integration of Artificial Intelligence through BKT effectively personalizes learning, enhances student motivation, and provides data-driven insights for teachers regarding students' progress. The implication of this research is that adaptive game-based learning serves as a feasible interactive solution to bridge the gap in conventional basic mathematics education.

This Community Service Program (PkM) aims to strengthen the role of adolescent parents through education on parenting during puberty and family financial literacy in Lembang Tondon Langi’, Tondon District, North Toraja Regency. Through two training sessions led by Ibu Rio Rita Pakan and Ibu Westerini, the program focused on enhancing the knowledge and skills of parents in addressing the challenges of parenting adolescent children and managing household finances. The first session, which addressed parenting during puberty, provided parents with insights into the characteristics of adolescent development and effective communication strategies. The second session, which focused on family financial management, offered practical skills in budgeting, debt management, and saving for the future. The results of the program showed that parents in Lembang Tondon Langi’ felt more prepared and confident in applying a more open and adaptive approach to parenting, as well as becoming more prudent in managing household finances. The enhancement of skills in both areas is expected to create more harmonious families and greater financial stability. The sustainability of the program is recommended through the formation of ongoing discussion groups and the active involvement of community leaders. This program has contributed positively to family welfare and the empowerment of parents in rural areas

The Checksheet process at PT. Automotive component companies are an important activity to maintain quality consistency in the production of automotive components, especially brackets. However, the inspection method that is still carried out manually causes waste of time, high use of paper, and increased operational costs. This study aims to reduce the cycle time of Patrol Check A-T-A, implement a digital (paperless) recording system, and improve process efficiency through the PDCA (Plan-Do-Check-Act) approach, Fishbone Diagram, and Why-Why Analysis. The results of the identification of the root of the problem show that the absence of a standardized digital system and the lack of management initiatives are the main causes of the long inspection process and high paper consumption. The implementation of E-Checksheet as a digital solution resulted in a significant reduction in cycle time, from 50 minutes to 10 minutes, as well as eliminating paper use by up to 100%. In addition, workflows become simpler, data is easier to monitor, and processes become more efficient. This study concludes that the digitization of Checksheet is able to increase operational effectiveness, reduce waste, and support continuous improvement in the manufacturing environment.

The information technology revolution has brought significant changes to almost all aspects of people's lives, from communication patterns and ways of obtaining information to production and trade systems across various sectors. The development of digital technology has also driven cultural, social, and economic changes that require society to continuously adapt. This article aims to examine how society adapts to these changes through a literature review approach, examining various relevant scientific sources. The discussion focuses on digital literacy, human resource (HR) transformation, the concept of Society 5.0, the psychological impact of digital technology use, the role of public policy, and the use of technology in the economic sector. The study results indicate that the success of societal adaptation is greatly influenced by the level of digital literacy and the readiness of human resources to face increasingly rapid technological developments. Furthermore, public policies that support equal access to technology and digital education are crucial factors in this adaptation process. Equitable digital literacy and the development of adaptive and flexible human resources are key strategies for maximizing digital economic opportunities while addressing various social challenges in the era of information technology transformation.

This community service activity was carried out to overcome the problem of open and uncontrolled internet networks at SMK Islamiyah Serua. This condition poses security risks as well as inefficient bandwidth usage. The solution offered is the implementation of a network gateway system with a user-friendly web-based login portal, so that internet access can be limited only to educators through an authentication mechanism. The implementation method includes needs analysis, system design, implementation using MikroTik RouterOS and HTML/CSS/JavaScript-based web portals, system trials, and socialization to schools. The results showed a significant improvement in network security, bandwidth usage efficiency, and ease of access for teachers. In addition, this activity also increases educators' understanding of the importance of network security in supporting the learning process. The implementation of this system provides sustainable benefits for schools, both from a technical and educational perspective, because it is able to create a safer and more controlled digital environment. Thus, this community service activity not only solves technical problems, but also contributes to improving the quality of educational services at SMK Islamiyah Serua.