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This study explores the impact of work–life balance on job performance among Generation Z employees in Jakarta, with job satisfaction as a mediating variable and family-supportive supervisor behavior as a moderating variable. Generation Z, the largest segment of Indonesia's workforce, values flexibility and supportive leadership, but their job performance often shows inconsistency. Previous studies have yielded mixed results on the relationships between work–life balance, job satisfaction, and job performance, with limited empirical evidence on the role of family-supportive supervisor behavior, particularly in Indonesia. Using a quantitative approach, data were collected from 385 Generation Z employees in Jakarta through purposive sampling. Structural Equation Modeling (SEM) with SmartPLS 4.0 was used for data analysis. Results indicate that work–life balance positively influences both job satisfaction and job performance. Additionally, job satisfaction partially mediates the relationship between work–life balance and job performance, suggesting that a better work–life balance enhances job satisfaction, which in turn improves performance. The study also shows that family-supportive supervisor behavior significantly strengthens the positive effect of work–life balance on job performance. These findings contribute to the literature by clarifying how work–life balance affects job performance among Generation Z employees and highlighting the importance of supportive leadership.

The study try to investigate what influences ATINY, followers of the South Korean idol group ATEEZ, about customer satisfaction and their decision to buy Nacific products. It investigates how brand ambassadors, fanaticism, Korean Wave, product quality, and buying decisions affect consumer pleasure. Through the use of questionnaires, 396 members of the ATINY fan group participated in the study. Structural Equation Modeling (SEM) was used in the study to analyze the data. The findings show that consumer happiness and purchasing decisions are influenced by product quality. Fanaticism, the Korean Wave, and brand ambassadors, however, had negligible effects on consumer happiness and purchase decisions. Additionally, it has been demonstrated that purchase decisions significantly and favorably affect consumer satisfaction. The study recommends that future studies examine the impact of social media and influencers on consumer behavior and take into account other factors like brand trust or customer experience. Additionally, studies using larger samples from different demographic groups can yield more broadly applicable findings.

This article examines the role of context and underlying assumptions in the formulation of econometric models for economic policy analysis. While econometric models are widely employed to support policy decisions, their construction is often treated as a purely technical process, overlooking the contextual factors that shape variable selection, model specification, and interpretation of results. This study explores how institutional settings, policy objectives, and behavioral considerations influence the assumptions embedded in econometric modeling. By drawing on policy documents, academic literature, and illustrative cases from applied economic research, the article highlights how implicit assumptions may affect the validity and relevance of econometric outcomes. The analysis emphasizes that econometric models are not value-neutral tools but are shaped by theoretical choices and contextual judgments made during their formulation. Understanding these dimensions is crucial to avoid misinterpretation of empirical findings and to enhance the usefulness of econometric analysis in policymaking. The study contributes to the methodological discussion in applied econometrics by encouraging greater transparency and reflexivity in model construction, particularly in the context of economic policy evaluation.      

PT Adhi Karya (Persero) Tbk is a State-Owned Enterprise (BUMN) in Indonesia that operates in the construction industry. PT. Adhi Karya (Persero) Tbk. was awarded the contract for the Yogyakarta-Bawen toll road construction project, Package 1, Section 1. Construction safety is a very important aspect in the project. The toll road construction project involves work at heights, especially on erection grider work. Erection grider work is a high-risk job, so construction safety must be guaranteed. If construction safety is not guaranteed in the work environment, workers will be more careful in working to reduce risks so that work slows down. This can reduce work productivity. However, when safety is guaranteed, workers will feel safe to work so that it can increase work productivity. This study aims to determine the effect of construction safety (X) on work productivity (Y). The data collection method was carried out by distributing questionnaires to 30 respondents of erection grider workers. Data processing used the Structural Equation Modeling–Partial Least Squares (SEM PLS) method with SmartPLS 4.0 software. The results of data processing showed that construction safety had a significant influence on work productivity with a t-statistic value of 7.329 and a p-value of 0.000.  

Semantic interoperability remains a major challenge in large scale distributed information systems due to heterogeneous data schemas, diverse contextual interpretations, and the dynamic nature of distributed environments. Traditional metadata-based interoperability approaches are often insufficient to address these challenges, as they lack semantic expressiveness and adaptability. This study proposes a context aware knowledge graph framework to enhance semantic interoperability across heterogeneous distributed systems. The research adopts a design-oriented methodology involving requirement analysis, knowledge graph construction, ontology modeling and alignment, context aware semantic representation, and semantic reasoning. A prototype implementation is developed to evaluate the effectiveness of the proposed framework through interoperability scenarios and cross-system semantic queries. The results demonstrate that the proposed approach significantly improves semantic alignment accuracy, query precision, and recall compared to conventional metadata-based solutions. The explicit integration of contextual information and ontology-based reasoning enables adaptive semantic interpretation and reduces ambiguity across systems. Overall, the findings confirm that combining knowledge graphs with ontology modeling and context aware mechanisms provides a robust and scalable solution for improving semantic interoperability in complex distributed information systems.

This research explores the role of human algorithm interaction mechanisms in enhancing trust, reliability, and user confidence in Decision Support Systems (DSS). Traditional DSS models often focus solely on algorithmic accuracy and performance, neglecting crucial factors such as transparency and user engagement, which are essential for building trust. By incorporating explainable AI (XAI) techniques like SHAP and LIME, real-time feedback mechanisms, and user-friendly interfaces, the study develops structured interaction models that improve the interpretability of AI-driven decisions. The results show that transparent decision-making processes and interactive features significantly enhance user trust, making DSS more reliable and easier to adopt. Users interacting with systems that provide clear, understandable explanations of decisions, along with real-time updates on the system’s confidence, reported higher levels of decision-making confidence, especially in high-stakes scenarios. These improvements lead to greater user engagement and adoption of the system in various domains, including healthcare and finance. The study also highlights the importance of balancing interpretability with efficiency in user interface design to ensure both trust and usability. The findings contribute to the design of more user-centric DSS that prioritize trust, interpretability, and cognitive factors, providing a framework for the successful integration of intelligent decision support systems in complex decision-making environments. Future research should focus on refining interaction models and exploring the broader applicability of these systems in different sectors.

This research explores the impact of Cache Aware optimizations on signal processing pipelines in High Throughput computing systems. The growing demand for efficient memory management in modern computing systems, especially for data-intensive applications such as artificial intelligence (AI) and multimedia processing, necessitates the development of optimized memory hierarchies. Traditional memory systems often suffer from memory bottlenecks, significantly reducing the performance of these systems. This study investigates how memory hierarchy optimizations, particularly cache line aware optimization, dependency-aware caching, and adaptive cache replacement algorithms, can mitigate these challenges and improve system performance. Through analytical modeling and experimental benchmarking, this work evaluates various memory hierarchy configurations, including processing-in-memory (PIM) and three-dimensional integrated circuits (3D ICs), comparing them to conventional systems. The results demonstrate that Cache Aware optimizations lead to a reduction in memory access latency by up to 30%, while throughput improved by up to 40%. Additionally, cache hit rates increased by 25%, and energy consumption was reduced by up to 20%, highlighting the effectiveness of optimized memory management. The research contributes to the field by providing valuable insights into the design and implementation of efficient signal processing pipelines. It also identifies key challenges, including the need for dynamic occupancy mechanisms and DAG-aware scheduling algorithms, and suggests potential areas for future research, such as the exploration of collaborative caching approaches and further optimization of cache-adaptive algorithms. This work lays the foundation for more efficient, high-performance computing systems that can handle large datasets and complex tasks in real-time applications.

This study investigates how character education is embedded into the school culture of an Indonesian Islamic junior high school (madrasah), focusing on four core values: religiosity, honesty, tolerance, and discipline. Using a qualitative naturalistic approach, the research was conducted at MTsN 3 Halmahera Utara through in-depth interviews, participant observation, and document analysis involving school leaders, teachers, and students. The findings reveal that character education at the madrasah is not a standalone program but is institutionalized through consistent routines, religious practices, and role modeling. Religiosity is fostered through structured worship, integration of Islamic values into lessons, and spiritual habits. Honesty is promoted via trust-based learning environments, teacher exemplarity, and reinforcement of moral norms. Tolerance is cultivated through inclusive social interactions and respect for religious and cultural differences, while discipline is internalized through habitual rule-following, punctuality, and self-regulation. These findings align with existing theories and regional character education frameworks, confirming that character is best formed through embedded cultural processes and consistent adult exemplarity. The study contributes to the understanding of how Islamic schools can function as moral communities and highlights the importance of alignment between school culture, family support, and wider social contexts in achieving sustainable moral development.

This study examines the impact of IT-driven innovation management on IT service effectiveness and competitive value creation within smart organizations. As digital transformation accelerates across industries, organizations are increasingly leveraging advanced IT solutions to enhance service delivery, responsiveness, and customer satisfaction. While traditional IT service management (ITSM) models focus on efficiency and structured processes, the integration of innovation management introduces new opportunities to improve service quality and operational agility. Through a quantitative research design, this study employs regression modeling to assess the relationship between IT-driven innovation management and two key outcomes: IT service effectiveness and competitive value creation. Data were collected from 100 technology-intensive organizations that actively integrate innovation into their IT service management processes. The results demonstrate that IT-driven innovation significantly enhances service quality, customer satisfaction, and organizational competitiveness. Furthermore, a curvilinear relationship was identified, indicating that while moderate innovation leads to improved outcomes, excessive innovation may have diminishing returns. These findings highlight the importance of balancing innovation efforts with business goals to achieve optimal performance. The study also compares innovation-driven IT service management with traditional models, illustrating how innovation fosters agility, responsiveness, and long-term value creation. The implications for smart organizations are clear: integrating innovation into IT service management is essential for maintaining a competitive edge in the rapidly evolving digital landscape. Future research should explore the long-term impact of innovation management on organizational sustainability and growth, considering external factors such as market volatility and technological disruptions.

General practitioners play a crucial role in the delivery of healthcare services in public hospitals, where limited organizational resources and high service demands often place significant pressure on medical personnel. These conditions may disturb work–life balance, increase the risk of burnout syndrome, and ultimately lead to higher turnover intention. This study aimed to analyze the effect of work–life balance on turnover intention, with burnout syndrome acting as an intervening variable among general practitioners at RSUD Balaraja. An observational analytic design with a cross-sectional approach was applied, involving all 40 general practitioners working in the emergency department and inpatient units through a total sampling technique. Data were collected using standardized instruments, namely the Work–Life Balance Scale, Maslach Burnout Inventory, and the Intention to Quit Questionnaire. Data analysis was conducted using Spearman correlation and Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed a significant relationship between work–life balance and burnout syndrome, as well as between work–life balance and turnover intention. Burnout syndrome was also significantly associated with turnover intention. Further analysis showed that work–life balance had both direct and indirect effects on turnover intention, with burnout syndrome partially mediating this relationship. In conclusion, work–life balance and burnout syndrome are important determinants of turnover intention among general practitioners. Therefore, hospital management should prioritize strategies such as workload regulation, enhanced organizational support, and burnout prevention to retain medical staff and maintain the quality of healthcare services in public hospitals.

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.  

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

The formation of spiritual maturity within Christian families is often misunderstood as a result of chronological age or the length of one’s Christian experience. This literature study emphasizes that spiritual maturity is not determined by age, but by a continuous process of faith formation through biblical knowledge, spiritual practices, lifestyle modeling, and character transformation. Using library research methods, this study analyzes primary and secondary literature related to the role of families, stages of faith development, and the collaborative role of the church in spiritual formation. The findings reveal that the family serves as the central foundation of faith formation, requiring the active involvement of parents in Bible reading, prayer, ethical guidance, and moral example. Furthermore, spiritual maturity is influenced by developmental stages that do not necessarily correspond to biological age. The church functions as a collaborative partner that supports family spiritual growth through teaching, ministry involvement, and pastoral guidance. This study concludes that spiritual maturity is reflected in character and actions rather than ritual participation alone, and it recommends strengthening family-based faith education and cooperation with the church as a foundation for authentic spiritual growth.

This study aims to analyze how the integration of traditional knowledge and digital knowledge shapes organizational strategies in Micro, Small, and Medium Enterprises (MSMEs) in responding to an increasingly competitive business environment. A quantitative approach was employed by applying variance-based Structural Equation Modeling (SEM) using SmartPLS 3 software to 100 MSME respondents. The research model was developed by incorporating three main latent constructs, namely digital knowledge, traditional knowledge, and organizational strategy, which were measured using several indicators relevant to the MSME context. The analysis results indicate that all research instruments meet good reliability and validity criteria, with outer loading values ranging from 0.719 to 0.902, Average Variance Extracted (AVE) values above 0.64, and composite reliability exceeding 0.87. Structural model testing reveals that digital knowledge has a strong and significant effect on organizational strategy (β = 0.799), while traditional knowledge shows a very small effect (β = 0.024). The research model explains 66.4% of the variance in organizational strategy. These findings confirm that digital transformation is the primary factor in shaping competitive strategies among MSMEs, while traditional knowledge continues to serve as a foundation for local context and cultural values. Therefore, the implementation of a hybrid management approach is considered effective in assisting MSMEs in formulating more adaptive, innovative, and sustainable strategies.

The public complaint system is an important facility for the police institution to improve the quality of public services, particularly in receiving, processing, and following up on various reports and complaints from the public. However, in practice, the complaint process is still largely carried out manually, such as through face-to-face interactions, paper-based forms, or direct communication that is not well documented. This gives rise to problems such as delays in handling, difficulties in tracking the history and status of reports, low work efficiency of officers, and limited transparency of information for reporters. These problems ultimately affect the level of public trust in the police institution. This study aims to design a web-based public complaint information system that supports a more structured, measurable, and transparent complaint management process. This system is designed by implementing the Kanban method as a workflow management tool that allows for prioritization, monitoring the handling process, and tracking the status of complaints in real time. The research methods include a literature review related to information systems and the Kanban method, direct observation of the existing complaint process, interviews with stakeholders, system requirements analysis, modeling using UML (Use Case Diagram, Activity Diagram, Sequence Diagram), and database design using Entity Relationship Diagram (ERD). The results of this research resulted in the design of a web-based public complaints information system that can facilitate complaint data recording, report management and status updates, task assignments to officers, performance monitoring, and complaint status notification to the public.

The development of information technology requires service companies to improve the effectiveness and quality of their services, including in the field of electrical installation services. CV Givas Jaya Sentosa still faces problems in managing orders, customer data, and technician scheduling, which are done manually, resulting in inefficiency. This study aims to design and build a web-based electrical installation service provider information system using the Object Oriented Analysis and Design (OOAD) method. The research method used is qualitative with a research and development (R&D) approach, through data collection techniques such as observation, interviews, and documentation. The system is designed using Unified Modeling Language (UML) modeling and implemented as a web application. The results of the study show that the system is able to simplify the service ordering process, improve service and technician data management, and help monitor work status in an integrated and real-time manner. Thus, this information system can improve operational efficiency and service quality at CV Givas Jaya Sentosa.

This study aims to design a web-based information system for vehicle management and monitoring at Bengkel Merdeka Motor, which previously relied on manual recording processes. Manual data management caused several problems, including data loss, inaccurate records, difficulties in monitoring service progress, and delays in report generation. This research applies the Object-Oriented Analysis and Design (OOAD) method supported by Unified Modeling Language (UML) to analyze system requirements and design the proposed system. The research methodology includes requirements analysis, analysis of existing and proposed systems, system design, and user interface design. The proposed system integrates vehicle data management, service offers, work orders (SPK), service progress monitoring, invoice generation, and automatic monthly reporting into a single web-based platform. The results show that the designed system improves data accuracy, operational efficiency, and transparency of service information. In addition, real-time monitoring features support better coordination between administrators and mechanics. The implementation of this system is expected to enhance service quality, reduce administrative errors, and support managerial decision-making at Bengkel Merdeka Motor.

The development of the modern world, characterized by advances in digital technology, globalization, and complex social dynamics, has created new challenges in child-rearing practices, particularly for Muslim families. Children require not only the fulfillment of physical needs and formal education, but also balanced emotional, social, and spiritual support. This study aims to examine the concept of child-rearing based on love and compassion from the perspective of Islamic psychology, identify the core principles of Islamic parenting, and explain its implications for children’s psychological development. This research employed a qualitative approach using a literature review method with a systematic literature review design. Data sources were obtained from academic books as well as nationally accredited journals and reputable international journals published between 2020 and 2024. The data were analyzed using content analysis and thematic analysis to identify patterns, key concepts, and relationships among variables. The findings indicate that parenting grounded in love and compassion (rahmah), combined with role modeling, justice, and wisdom in discipline, contributes positively to children’s emotional, social, moral, and spiritual development. Warm and responsive Islamic parenting supports the development of effective emotional regulation, prosocial behavior, and the internalization of faith-based and moral values in children. The results also demonstrate a strong alignment between Islamic parenting concepts and the compassionate parenting approach in modern psychology, with Islamic psychology offering a distinctive strength in its spiritual dimension. This study contributes to the reinforcement of the theoretical framework of Islamic psychology and provides practical recommendations for parents and educators in implementing balanced parenting that integrates compassion, discipline, and Islamic values in the modern era.

This study aims to explore in depth the impact of Islamic parenting on the development of disciplinary character in early childhood. Conceptually, parenting in Islam is understood as a child-rearing method based on Islamic principles, emphasizing values of role modeling, love, responsibility, and moral development from an early age. Through this approach, parents serve as the first and foremost educators in instilling the values of discipline reflected in children’s daily behavior, both within the family and in social interactions. This research analyzes various ways Islamic parenting is applied in daily activities, including the habit of performing prayers on time, managing schedules for study and play, and implementing educational consequences in accordance with Islamic principles. The findings reveal that the consistent application of Islamic parenting patterns, combined with effective communication between parents and children, has a positive effect on the development of children’s disciplinary character. Children raised under Islamic parenting tend to have an awareness of obeying rules, valuing time, and taking responsibility for their duties and obligations. Conversely, the study also identifies challenges stemming from parents’ limited understanding of Islamic parenting concepts, as well as external environmental influences such as digital media and peer interactions that are not always aligned with Islamic values. Therefore, efforts are needed to improve literacy regarding Islamic parenting through educational activities involving early childhood education institutions, religious study groups, and parent communities. In general, the findings of this study highlight the importance of collaboration among families, schools, and communities in consistently applying Islamic parenting principles to foster children’s disciplinary character from an early age in accordance with Islamic teachings.

The implementation of the Standard Inpatient Class (KRIS) policy presents challenges for hospitals in ensuring equitable service delivery. Organizational readiness depends not only on adequate physical infrastructure but also on an adaptive organizational culture and strong clinical leadership to guide change. As a referral hospital, RS BM must ensure alignment across organizational components to meet KRIS standards sustainably. This study analyzes the influence of infrastructure quality and clinical leadership on organizational readiness for KRIS implementation, with organizational culture as an intervening variable. A quantitative cross-sectional design was used, involving 136 healthcare and medical personnel working in the inpatient units of RS Bhakti Mulia. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) to examine relationships among variables. Infrastructure quality and organizational culture significantly and positively affect organizational readiness. Clinical leadership, while not directly influencing readiness, has a significant positive effect on organizational culture. KRIS readiness at RS BM is shaped by infrastructure quality, clinical leadership, and organizational culture, with culture acting as the main mediator. The hospital shows strong readiness but still faces gaps in progress monitoring, inpatient room layout and privacy, leadership direction, and team participation. Strengthening monitoring mechanisms, improving room design according to KRIS standards, enhancing clinical leadership capacity, and fostering a collaborative organizational culture are essential to support comprehensive and sustainable KRIS implementation