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The moral crisis faced by the Indonesian nation is a serious challenge that can threaten the integrity and sustainability of the country's future. Phenomena such as corruption, intolerance, and weakening social integrity are clear evidence of the declining implementation of the noble values ​​contained in Pancasila. Pancasila Education has a strategic position in building national character and instilling moral values, especially in the younger generation. This article aims to examine the moral crisis in Indonesia and analyze the role of Pancasila Education in providing solutions to these problems. This study uses a literature research method to assess the relevance of Pancasila values ​​and the effectiveness of the implementation of Pancasila Education. The study results show that Pancasila values ​​such as religiosity, humanity, unity, democracy, and social justice have great potential in forming moral individuals. However, there are various challenges, including low student interest, lack of innovation in teaching, and the influence of globalization that can hinder the optimization of Pancasila Education. To overcome these obstacles, strategic steps are needed such as strengthening the curriculum, improving the quality of educators, and collaboration between families, schools, and the community. With maximum implementation, Pancasila Education can be the main key to rebuilding the nation's morality.

The architecture of consumer decision-making has completely changed due to the quick development of recommendation systems based on artificial intelligence (AI). The majority of earlier studies saw algorithms as instruments for forecasting and maximizing preexisting preferences. This study, however, makes a different claim: algorithmic curation actively shapes preferences rather than just reflecting them. This study creates and evaluates a structural model that examines the impact of algorithmic curation intensity on perceived search autonomy, identity resonance, affective evaluation, and the development of initial preferences. The model is based on identity-based consumption theory and the literature on human-AI interaction. The study's findings, which are based on survey data from Generation Z consumers and Structural Equation Modeling (SEM) analysis, demonstrate a contradictory dynamic: algorithmic curation improves identity resonance and directly influences initial preferences while simultaneously decreasing feelings of autonomy. The primary mediating mechanism that links algorithmic exposure to emotional assessment and preference creation is identified as identity resonance. In addition to introducing the concept of algorithmic consumer formation as a new conceptual framework for comprehending consumer behavior in the AI-based digital era, our findings expand the notion of bounded rationality toward algorithmically bounded agency.

This study aims to analyze the implementation of pedagogical competence among Christian Religious Education teachers and its implications for students’ learning interest at SMTK Katharos Bekasi. The study is based on the importance of teachers’ pedagogical competence in creating effective learning environments and increasing student engagement in the classroom. A qualitative approach with a descriptive design was applied in this research. Data were collected through classroom observations, questionnaire-based interviews with students, and literature review. The findings show that teachers’ pedagogical competence is categorized as good, with an average score of 33.8 or 75.1% of the maximum score, reflecting effective classroom management, appropriate material delivery, and proper student guidance. Students’ learning interest is also categorized as good, with an average score of 32.8 or 72.9%, indicating active participation and positive engagement in the learning process. Therefore, pedagogical competence positively influences students’ learning interest, and continuous improvement is needed to enhance learning effectiveness.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

Limited access to adequate housing remains a major challenge for low-income households in Indonesia, including in Banyumas Regency. The subsidized housing program has been implemented as a public policy instrument to improve housing affordability while enhancing social and economic welfare. This study aims to analyze the role of subsidized housing in improving housing access and the economic conditions of low-income communities in Banyumas Regency. The research adopts a qualitative approach using a documentation study method by collecting and analyzing policy documents, official government reports, scholarly journal articles, and relevant publications related to subsidized housing and the socio-economic conditions of low-income households. Data analysis was conducted through content analysis to interpret the role of subsidized housing based on indicators of housing affordability and household economic impacts. The findings indicate that subsidized housing significantly reduces the housing cost burden of low-income households from levels exceeding the affordability threshold to a more economically manageable range. The reduction in housing expenditure contributes positively to household economic stability by allowing savings and reallocation of income toward productive needs such as education, healthcare, and financial security. However, the effectiveness of subsidized housing in improving economic outcomes is still influenced by location and accessibility of housing areas. This study concludes that subsidized housing plays a crucial role in expanding housing access and improving the economic conditions of low-income communities, while requiring integrated and sustainable policy support to maximize its long-term benefits.

Motorcycles are one of the main modes of transportation widely used by the Indonesian people due to their practicality, efficiency, and ability to support daily mobility. However, many motorcycle users complain about the suboptimal engine power, especially when the vehicle is used on extreme terrains outside urban areas, such as uphill roads, rocky paths, or long distances. This situation has driven the development of various innovations in the automotive field to improve engine performance. One widely applied method is the oversize technique on the piston and piston block, which aims to increase the combustion chamber capacity, thereby maximizing the power output. This study aims to analyze the significant comparison of engine performance after the application of the oversize method on the KVY engine type, as well as to examine the factors influencing the optimization of engine performance based on the philosophy and needs of the vehicle owner. The testing method used a dynamometer to measure the increase in torque and engine power. The test results showed that the daily oversize application resulted in a torque increase of 1.19 Nm and a power increase of 0.85 Hp compared to the standard condition. Meanwhile, the oversize for competition needs showed more significant improvements, with a torque increase of 7.97 Nm and a power increase of 8.12 Hp. These findings demonstrate that the oversize method can significantly enhance engine performance according to its intended use.

This study aims to assess the financial performance of the Sukoharjo Regency Government during the 2023-2024 period by employing cash flow statements as the primary analytical tool. Cash flow statements are considered essential as they provide a clear picture of liquidity conditions and the actual capacity of local governments to manage cash inflows and outflows. This research applies a descriptive quantitative approach using secondary data obtained from audited Budget Realization Reports and Cash Flow Statements. Financial performance is evaluated through revenue effectiveness ratios and expenditure efficiency ratios as key indicators of fiscal management. The results indicate that regional revenue realization consistently exceeded the established targets throughout the study period, placing revenue performance in the very effective category. This finding reflects the local government’s ability to maximize revenue potential during the post-pandemic economic recovery phase. However, the analysis of expenditure efficiency reveals that spending management has not yet reached an optimal level, as expenditure realization remained close to the allocated budget limits. These findings demonstrate that strong revenue performance does not necessarily correspond with efficient expenditure control. Consequently, local government financial performance should be evaluated comprehensively by integrating both revenue effectiveness and expenditure efficiency perspectives. This study contributes empirically to public sector accounting literature and offers practical insights for policymakers to strengthen budget control mechanisms and promote sustainable financial management at the regional level.    

This research investigates the development of integrated operational systems connecting terminal and ship operations for docking and berthing time optimization through systematic analysis of historical data. Port efficiency depends critically on minimizing vessel turnaround time, with berth allocation, docking procedures, and cargo operations coordination determining overall port productivity and competitiveness. Through qualitative analysis involving port operators, terminal managers, ship agents, harbor masters, and operations research specialists, this study examines how historical operational data can inform intelligent coordination systems improving berthing efficiency. Results demonstrate that data-driven integration systems incorporating predictive analytics, automated scheduling, and coordinated workflows can reduce average berth turnaround time by 15-30%, improve berth utilization by 20-35%, and decrease operational conflicts by 40-60% through optimized allocation and proactive coordination. Key implementation challenges include data quality and availability, system integration complexity, organizational coordination barriers, and resistance to automated decision support. Findings reveal that historical data-based optimization represents transformative advancement from experience-based scheduling to evidence-driven operational planning supporting port efficiency enhancement, capacity maximization, and service reliability improvement. This research contributes to port operations literature by providing practical frameworks for data-driven berthing optimization applicable to diverse port operational contexts.

Legal certainty (rechtssicherheit) is a fundamental pillar of the rule of law, ensuring that legal provisions are clear, consistent, and predictable. In the Indonesian criminal justice system, the Public Prosecutor holds a central position as the Dominus Litis (the owner of the case), determining which cases proceed to court. However, the implementation of prosecutorial authority often leans towards rigid legal positivism, creating a paradox where procedural certainty is achieved at the expense of substantive justice. Disparities in prosecution demands for similar crimes often lead to public distrust and legal uncertainty for justice seekers. This study aims to analyze the challenges in maintaining legal certainty and proposes a strategy to enhance the prosecutor's role through the integration of Restorative Justice and professional discretion. The research employs a normative juridical method with statutory and conceptual approaches, analyzing Attorney General Regulation No. 15 of 2020. The study finds that enhancing legal certainty requires shifting the paradigm from "mechanical prosecution" to "discretionary prosecution" based on conscience. To achieve this, prosecutors must be equipped with high-level cognitive skills to interpret "certainty" not just as textual compliance, but as the consistent application of fairness.

Corruption in Indonesia is not merely a moral transgression but an extraordinary economic crime that depletes national resources. The ultimate objective of corruption eradication, therefore, must be the restoration of state financial losses (asset recovery).  However, the current formulation of the criminal law system specifically Article 18 of Law No. 31 of 1999 contains a critical policy flaw. The provision of "Subsidiary Imprisonment" (Pidana Pengganti) allows convicts to substitute their financial restitution obligations with a disproportionately short prison term. This mechanism inadvertently provides an economic incentive for corruptors to conceal assets and choose imprisonment, resulting in significant state revenue loss. This study aims to critique the current penal policy formulation and propose a comprehensive reformulation of the compensation system. The research employs a normative-juridical method with a statutory and conceptual approach, utilizing the "Economic Analysis of Law" theory to evaluate the efficiency of sanctions. The study argues that the penal policy must shift from a "person-based" approach (in personam) to an "asset-based" approach (in rem). It is imperative to abolish the subsidiary imprisonment option for high-value corruption and implement "Non-Conviction Based Forfeiture" to maximize the recovery of state losses. Furthermore, this policy shift requires law enforcers with high-level cognitive skills to trace complex financial trails.

This study aims to analyze the acoustic characteristics of coconut-fiber-based Cement-Bonded Particleboard (CBPB) through measurements of the Sound Absorption Coefficient (SAC, α) and Transmission Loss (TL). CBPB samples were fabricated with thickness variations of 12, 16, and 20 mm and tested using an impedance tube in accordance with ISO 10534-2:1998 for SAC and ASTM E90-09 (2016) for TL measurements. The study examined the effect of panel thickness on sound absorption and transmission loss across a frequency range of 125–4000 Hz. The results showed that the α value increased with both frequency and panel thickness, reaching a maximum of 0.78 at frequencies of 2500–3150 Hz for the 20 mm panel. The TL measurements indicated that the highest transmission loss reached 42 dB at a frequency of 4000 Hz. These findings suggest that thicker CBPB panels provide better acoustic performance, both in absorbing sound and reducing transmission. Overall, coconut-fiber-based CBPB demonstrates strong potential as an eco-friendly structural acoustic material suitable for applications in sustainable building design, interior partitions, and noise control solutions.

The early childhood period, commonly referred to as the Golden Age, is considered the most critical stage of development, during which rapid advancement in various domains, including language ability, is observed. This study examined how parental communication patterns influence the language development of children in Gla Meunasah Baro Village. Krueng Barona Jaya Subdistrict, Aceh Besar District. An analytic quantitative method was applied, using a cross-sectional design. The study involved a total of 115 parents, and the researcher selected 89 respondents as the sample using purposive sampling. The researcher collected data through questionnaires measured on an ordinal scale and then analyzed the information using univariate and bivariate techniques, including the Chi-Square test. The analysis showed that most respondents, consisting of 85 parents (95.5%), applied good communication patterns, while 3 respondents (3.4%) were classified as moderate, and 1 respondent (1.15%) as poor. In addition, 84 children (94.4%) were identified as not being at risk of language delay, while 5 children (5.6%) were considered potentially at risk. Bivariate analysis revealed a significant relationship between parental communication patterns and early childhood language development, as indicated by a ρ value of 0.015 (< α = 0.05). It is suggested that communication with children be carried out in an open, attentive, and reciprocal manner so that their language development can be maximally supported and the risk of delays minimized.

This study discusses the effect of valve weight and clearance on the efficiency of a hydraulic ram pump, with a focus on optimizing water discharge efficiency in the Sumberingin Tourism Area, Wringinsongo Village, Tumpang, Malang Regency. The method used in this study is an experiment with variations in valve weight consisting of 10 kg, 11 kg, and 12 kg, as well as valve clearances varying between 16.5 mm, 24.5 mm, and 32.5 mm. The results showed that the combination of a valve weight of 10 kg and a clearance of 16.5 mm produced the highest water discharge efficiency, namely 69.7 liters per minute, with an optimal efficiency of around 33%. In the optimization process, the application of Design of Experiment (DOE) revealed that a valve weight of 11 kg and a clearance of 16.5 mm can produce a maximum discharge efficiency of 63.155 with a desirability value reaching 0.7671. These findings indicate that proper settings on valve weight and clearance can contribute significantly to increasing the efficiency of a hydraulic ram pump. This research provides valuable insights into improving the performance and reliability of hydraulic ram pumps in rural water distribution systems. Understanding the influence of these variables is expected to yield more effective solutions for water resource management, particularly in areas requiring efficient irrigation systems. Furthermore, this research also opens up opportunities for further research on hydraulic ram pump optimization by considering other factors that can influence the efficiency and performance of the overall water distribution system. It is hoped that the results of this research can serve as a reference for the development of more efficient and environmentally friendly hydraulic ram pump technology, as well as supporting the sustainability of water resource management in rural areas.

The purpose of this research is to analyze the effect of investment and firm growth on the improvement of firm value, with profitability serving as a mediating factor. This study employs a quantitative research design using secondary data obtained from the Indonesia Stock Exchange (IDX). The population includes infrastructure sector companies listed on the IDX from 2021 to 2023, and purposive sampling was applied to select 29 companies, yielding a total of 87 firm-year observations. Path analysis with SPSS software was used to test the hypotheses and examine both direct and indirect relationships among the variables. The findings reveal that investment has a significant positive impact on firm value, indicating that firms with higher levels of investment tend to enhance their market valuation. Similarly, firm growth contributes positively to firm value, suggesting that sustainable expansion fosters greater investor confidence. Moreover, profitability is proven to mediate the relationship between investment and firm value, showing that the benefits of investment are maximized when they lead to improved profitability. Profitability also significantly mediates the relationship between firm growth and firm value, underscoring its role as a key driver in translating growth strategies into shareholder value. These results highlight the importance of profitability as a strategic element in strengthening firm value. Practically, the study suggests that managers should prioritize profitable investments and sustainable growth strategies to maximize firm value, while investors may consider profitability as a central indicator when evaluating firm performance.

The Emergency Department (ER) serves as a critical unit in hospitals with the primary objective of providing fast, precise, and integrated health services aimed at preventing disability and death. According to national standards, the maximum response time for ER services is 5 minutes. However, increasing patient volume combined with limited capacity and resources often hinders compliance with this standard, potentially affecting the quality of service and patient satisfaction. This study aimed to determine the relationship between response time and patient satisfaction in the ER of QIM Batang Hospital. The research employed an observational method with a correlational design and a cross-sectional approach. Data were collected using a stopwatch to measure response time and a structured questionnaire to assess satisfaction. A total of 100 patients who visited the ER were included as respondents through accidental sampling. Data analysis using the Chi-Square test revealed a significance value of ρ = 0.000, while the correlation test showed a coefficient value of 0.639, indicating a statistically significant relationship with a strong correlation between response time and patient satisfaction. These findings suggest that shorter and timely response times are closely associated with higher levels of patient satisfaction. In conclusion, adherence to response time standards and continuous improvement in the five key satisfaction indicators are crucial strategies to enhance the quality of ER services.

Anime has become a significant global phenomenon, including in Indonesia, where this culture has influenced various aspects of society. This article explores the impact of anime visual style in YouTube advertisements in Indonesia. The influence of anime on Indonesian society is also evident in the consumption trends of products related to Japanese culture. The involvement of Indonesian society with anime has also encouraged the emergence of various businesses and products that capitalize on the popularity of this culture. This study focuses on exploring the impact of anime visual style on consumer responses in the context of advertising through YouTube social media in Indonesia. The researcher will analyze how the use of anime elements in advertisements can influence consumer perceptions, whether through nostalgia, enjoyment, or aesthetic aspects, as well as how marketing strategies can be adjusted to maximize this effect. The research method uses content analysis of social media comments as research data. Three advertising samples were selected to represent the study. The results of the analysis show that the use of anime elements in advertisements for Pop Mie, McDonald's, and Pocari Sweat successfully attracted attention and created positive responses from consumers. The high quality of the animation and the use of anime visual styles created a strong emotional appeal, even influencing consumer behavior such as product preferences and interest in brands. In conclusion, the use of anime visual styles in Pop Mie, McDonald's, and Pocari Sweat advertisements demonstrates the success of a marketing strategy that utilizes the popularity of anime to attract attention and create emotional engagement. and influencing consumer behavior in Indonesia, as well as opening opportunities for more local anime production and strengthening positive brand image. This advertisement is not only an effective marketing tool, but also opens up opportunities for more local anime production and supports a positive brand image.

This study explores the influence of live streaming mode on the purchase intention of tropical fruits among consumers in Henan, China, in the context of the rapid growth of e-commerce. Live streaming has emerged as a dynamic and interactive platform that enables real-time engagement between sellers and buyers, offering visual product demonstrations and instant feedback opportunities. The research focuses on three critical factors affecting purchase intention: perceived trust, perceived value, and perceived risk. A quantitative research design was employed, collecting data from 392 participants through structured questionnaires. The analysis indicates that interactive communication, transparent information sharing, and authentic presentations during live streaming significantly enhance perceived trust and perceived value. Higher perceived trust fosters a stronger sense of reliability toward sellers, while increased perceived value motivates consumers by highlighting product quality, freshness, and fair pricing. Furthermore, effective live streaming strategies can substantially reduce perceived risks related to product authenticity, quality uncertainty, and transaction security, creating a more favorable purchase environment. The results suggest that the integration of engaging storytelling, professional product showcasing, and active audience interaction serves as a catalyst for influencing consumer attitudes and behaviors toward purchasing tropical fruits. This study enriches the existing literature on live streaming commerce by highlighting its psychological and behavioral impacts on consumer decision-making. In practical terms, the findings offer actionable insights for marketers and fruit sellers, emphasizing the importance of building trust, delivering genuine product experiences, and minimizing risks to maximize purchase intentions. These strategies are particularly relevant for agricultural e-commerce in Henan, where live streaming can bridge the gap between rural producers and urban consumers. Overall, this research provides both theoretical contributions to the study of digital co sumer behavior and practical guidance for optimizing live streaming as a competitive marketing tool in the fresh produce industry.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Blockchain logistics represents the integration of blockchain technology into the logistics sector, aiming to enhance efficiency, transparency, and security across supply chain processes. From an Islamic economics perspective, digital transformation must align with core values such as justice, transparency, and honesty to support the development of fair and sustainable logistics systems. The decentralized nature of blockchain offers promising solutions for building supply chains rooted in Islamic ethical principles. This study conducts a bibliometric analysis to examine the development and research trends of blockchain logistics within the context of Islamic economics. Using VOSviewer software, relevant scientific publications were analyzed based on bibliographic data sourced from reputable academic databases. Bibliometric parameters—such as the maximum number of authors per document and the minimum number of documents per author—were applied to identify key contributors and dominant research themes. The bibliometric mapping reveals the growth trajectory of blockchain logistics research framed by Islamic values. The visualization highlights research clusters, prominent authors, co-authorship networks, and publication trends that illustrate the evolution and scholarly interest in this interdisciplinary area. Emerging themes suggest a convergence between blockchain-driven logistics innovation and ethical economic practices advocated in Islamic teachings. The findings provide a comprehensive overview of the current landscape and collaboration opportunities in blockchain logistics research through an Islamic lens. This study contributes to the strategic positioning of future research by identifying gaps, potential synergies, and critical areas for development. Ultimately, it offers a foundational reference for scholars seeking to explore the integration of Islamic ethical principles within the advancement of blockchain-enabled logistics systems.

Urban logistics is a significant source of carbon emissions in Indonesia, and effective decarbonization strategies are required. EVs offer a promising solution, but their impact requires quantitative evaluation within the local context. This study analyzes the effect of adopting an electric van fleet on total well-to-wheel carbon emissions within an urban distribution network in Indonesia. This study employs a comparative case study method. A baseline scenario consisting of 25 diesel vans is compared to an intervention scenario where electric vans replace the entire fleet. The emission analysis was conducted using the WtW framework, utilizing specific emission factors for diesel fuel from the IPCC (2006) and the Java-Madura-Bali (JAMALI) grid emission factor from IESR (2023) to ensure contextual relevance. The transition to an electric fleet successfully reduces the total well-to-wheel carbon footprint by 13.63%. This reduction is equivalent to an absolute CO2 emission decrease of nearly 3 tons of CO₂ per month. Nevertheless, indirect emissions from electricity generation still contribute a significant carbon footprint, indicating that the national energy mix is highly dependent on the environmental benefits of EVs. This study concludes that fleet electrification is a viable and effective decarbonization strategy for Indonesia’s logistics sector, even with the current state of the electricity grid. However, fleet decarbonization efforts must run in parallel with policies for a national transition toward renewable energy to maximize the emission reduction potential of electric mobility. Future research should include the total cost of ownership (TCO) and life cycle assessment (LCA) for a more holistic evaluation.