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This study aims to examine Ibn Khaldun’s concept of character education and its relevance in shaping the personality of Generation Z in the digital era. The background of this research stems from the growing moral and social challenges faced by young people due to rapid technological advancement and the influence of globalization. This research employs a qualitative method using a library research approach by analyzing Ibn Khaldun’s works and related literature on Islamic character education. The findings reveal that Ibn Khaldun’s perspective on character education emphasizes the balance between ‘ilm (knowledge), adab (morality and ethics), and ‘ashabiyyah (social solidarity) as the foundation for forming a civilized individual. These values are highly relevant to be applied in modern education through teacher role modeling, habituation of positive behavior, and the integration of moral values into the curriculum. The implication of this study highlights that internalizing Ibn Khaldun’s principles of character education can serve as an effective strategy to develop a knowledgeable, ethical, and resilient generation capable of facing contemporary challenges.

Research aims to explore the influence of robo-advisor usage, trust in artificial intelligence (AI), financial literacy, and risk tolerance on investment behavior and its impact on the portfolio performance of retail investors in Indonesia. This study applies a quantitative approach, collecting data from 100 respondents who use investment applications such as Bibit, Ajaib, and Bareksa through the distribution of structured questionnaires with a 5-point Likert scale. Data analysis was carried out using the Structural Equation Modeling (SEM) technique. The results indicate that the four independent variables robo-advisor usage, trust in AI, financial literacy, and risk tolerance significantly affect investment behavior, which in turn has a positive effect on portfolio performance. High trust in AI combined with strong financial literacy fosters more disciplined and rational investment behavior. These findings highlight the importance of effective AI technology integration, improving financial literacy, and managing risk preferences to enhance investment decision-making quality and financial well-being. The study contributes to behavioral finance literature and offers practical implications for fintech developers and policymakers in emerging markets.

The blue economy is widely promoted as a pathway to sustainable development, yet women’s enterprises remain marginalized by structural barriers. This study investigates whether support systems directly influence the sustainability of coastal women’s businesses in Bulukumba South Sulawesi, Indonesia, while applying the Quintuple Bottom Line (QBL) and Theory of Change (Toc) frameworks. A quantitative design using survey data from women-led micro, small, and medium enterprises (MSMEs) was analyzed through structural equation modeling (SEM). The model assessed the reliability of constructs and tested the hypothesized effect of support systems including access to finance, social support, and public policy on sustainability outcomes. Findings reveal that although the measurement model demonstrated reliability and validity, support systems showed no significant direct effect on sustainability. This result contrasts with much of the existing literature but aligns with recent studies emphasizing mediation through financial literacy, managerial capacity, and institutional scaffolding. The study thus adds nuance by demonstrating that external interventions, in isolation, are insufficient for sustaining women’s enterprises in coastal contexts. The research contributes theoretically by extending QBL and Toc to gendered coastal entrepreneurship and practically by highlighting the need for integrated, gender-sensitive policies. Future research should examine mediating and moderating mechanisms that translate support into long term sustainability.

The phenomenon of fashion FOMO (fear of missing out) exerts a significant influence on fashion consumption behavior, particularly among the demographic from late adolescence to young adulthood. The fear of missing trends can lead individuals to make impulsive purchases. In contrast, the Minimalist Wardrobe concept promotes a conscious lifestyle that emphasizes functional and sustainable clothing choices. The objective of this study is to examine the influence of Fashion FoMO on purchasing decisions and to assess the role of a Minimalist Wardrobe as a moderating variable. A quantitative approach was employed, utilizing purposive sampling to collect data through surveys administered to respondents residing in Semarang City. The data were analyzed using the Structural Equation Modeling (SEM) method with SmartPLS software. The results show that Fashion FoMO has a significant and positive influence on purchasing decisions for UNIQLO products. Meanwhile, the Minimalist Wardrobe shows an insignificant effect. These findings suggest that purchasing decisions are more strongly driven by emotional pressure from FoMO than by minimalist lifestyle considerations.

This study aims to determine self-efficacy as an intervening variable in influencing the relationship between servant leadership and organizational citizenship behavior among employees of the Muaro Jambi District Environment Agency. The analysis method used is quantitative analysis. The population and sample consisted of 56 employees. Data collection was conducted by distributing questionnaires using a Likert scale. The statistical analysis used Structural Equation Modeling (SEM) techniques, with Partial Least Squares (PLS) as the tool for managing it using SmartPLS 4.1.1. The results of this study indicate that servant leadership has a positive and significant effect on organizational citizenship behavior, servant leadership has a positive and significant effect on self-efficacy, self-efficacy has a positive and significant effect on organizational citizenship behavior, and servant leadership has a positive and significant effect on organizational citizenship behavior and is mediated by self-efficacy.

This study aims to analyze the influence of employer branding and digital capability on turnover intention, with employee engagement serving as a mediating variable, in Small and Medium Enterprises (SMEs) in Central Java Province. The research design uses a quantitative approach with an explanatory research method. The research sample consists of 205 SMEs employees selected using purposive sampling techniques with criteria of a minimum of six months of service and active use of digital technology in their work. Data were collected through a Likert-scale questionnaire and analyzed using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results indicate that employer branding has a positive effect on employee engagement and a negative effect on turnover intention. Digital capability has a positive effect on employee engagement, but its direct effect on turnover intention is not significant. Employee engagement was found to mediate the relationship between employer branding and turnover intention, as well as between digital capability and turnover intention. These findings reinforce the relevance of Social Exchange Theory and the Resource-Based View in the context of human resource management in the SME sector, while also providing practical implications that strengthening employer branding and enhancing employees' digital competencies can reduce turnover intention.

Penelitian ini bertujuan untuk menganalisis pengaruh literasi keuangan, pengetahuan investasi, dan preferensi risiko terhadap minat investasi reksa dana pada mahasiswa di Yogyakarta. Penelitian ini adalah penelitian kuantitatif, di mana populasi dalam penelitian ini adalah mahasiswa jurusan Manajemen yang termasuk Generasi Z berdomisili di Yogyakarta. Sampel diambil dengan menggunakan teknik purposive dan convenience sampling sebanyak 101 responden. Data dikumpulkan menggunakan kuesioner elektronik. Data diolah dan dianalisis dengan menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan software SmartPLS versi 4.1.1.2. Hasil penelitian menujukkan bahwa literasi keuangan, pengetahuan investasi, dan preferensi risiko secara parsial berpengaruh positif dan signifikan terhadap minat investasi reksa dana. Tiga faktor yang diteliti dapat menjelaskan 56,4% variasi minat investasi reksa dana, sementara 43,6% lainnya dijelaskan oleh faktor lain yang tidak diteliti dalam penelitian ini. Literasi keuangan menjadi faktor yang paling dominan membentuk minat investasi reksa dana. Hasil ini sesuai dengan dugaan awal, di mana berinvestasi memerlukan tingkat pengetahuan dan kecakapan yang tinggi. Mahasiswa dengan preferensi risiko yang tinggi akan memiliki minat investasi reksa dana yang lebih tinggi karena reksa dana pada umumnya memiliki risiko yang tinggi daripada instrumen investasi lainnya seperti deposito dan obligasi.

Background: Patient safety culture forms the cornerstone of safe and high-quality healthcare delivery. However, its implementation often encounters barriers, particularly the persistence of a blaming culture that discourages staff from reporting patient safety incidents. Clinical leadership and the intensity of incident reporting are believed to play a pivotal role in shaping and sustaining a positive patient safety culture.Objective: This study aims to examine the influence of clinical leadership and patient safety incident reporting intensity on patient safety culture, with blaming culture serving as an intervening variable at Sentra Medika Cikarang Hospital.Methods: A quantitative research approach with an explanatory design was applied. The study involved 147 nurses selected through stratified random sampling. Data were collected using structured questionnaires and analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) method to test the direct and indirect relationships among variables. Results: The findings revealed that both clinical leadership and incident reporting intensity significantly influence patient safety culture, both directly and indirectly, through the mediation of blaming culture. Strong clinical leadership and a high level of incident reporting were associated with a more positive patient safety culture, while a high blaming culture weakened this relationship. Conclusion: The study underscores the importance of fostering supportive clinical leadership and cultivating a non-punitive reporting environment to strengthen patient safety culture. Hospital management should focus on leadership development and the creation of open, blame-free communication systems to enhance safety outcomes.

An organization's inability to build employee loyalty amidst competitive business pressures can have a direct impact on productivity, operational efficiency, and the retention of key talent. This study aims to analyze the role of job satisfaction as a key mediator in increasing employee loyalty at PT. Dua Kelinci. This study used a quantitative approach with a survey method by distributing questionnaires to a total of 190 active employees of PT. Dua Kelinci. Data were analyzed using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that Motivation, job stress, and job satisfaction were proven to have a significant effect on employee loyalty, while the work environment, workload, and work rewards did not have a significant direct effect. However, the job satisfaction variable was able to significantly mediate the relationship between Motivation, job stress, work environment, and workload on employee loyalty, but did not significantly influence employee loyalty through job satisfaction. These findings confirm that job satisfaction is not only the result of good working conditions, but also a key factor in building and strengthening employee loyalty indirectly. Practically, this study provides an important contribution to companies in designing strategies to increase employee loyalty. Theoretically, this study enriches the literature on mediation mechanisms in employee behavior models, particularly in the context of the manufacturing industry.

The rapid growth of open-source software (OSS) in machine learning (ML) has intensified the need for reliable, automated methods to assess project quality, particularly as OSS increasingly underpins critical applications in science, industry, and public infrastructure. This study evaluates the effectiveness of a diverse set of machine learning and deep learning (ML/DL) algorithms for classifying GitHub OSS ML projects as engineered or non-engineered using a SMOTE-enhanced and explainable modeling pipeline. The dataset used in this research includes both numerical and categorical attributes representing documentation, testing, architecture, community engagement, popularity, and repository activity. After handling missing values, standardizing numerical features, encoding categorical variables, and addressing the inherent class imbalance using the Synthetic Minority Oversampling Technique (SMOTE), seven different classifiers—K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Logistic Regression (LR), Support Vector Machine (SVM), and a Deep Neural Network (DNN)—were trained and evaluated. Results show that LR (84%) and DNN (85%) outperform all other models, indicating that both linear and moderately deep non-linear architectures can effectively capture key quality indicators in OSS ML projects. Additional explainability analysis using SHAP reveals consistent feature importance across models, with documentation quality, unit testing practices, architectural clarity, and repository dynamics emerging as the strongest predictors. These findings demonstrate that automated, explainable ML/DL-based quality assessment is both feasible and effective, offering a practical pathway for improving OSS sustainability, guiding contributor decisions, and enhancing trust in ML-based systems that depend on open-source components.

This paper presents a narrative review focusing on the significance of in silico methodologies in identifying and evaluating natural bioactive compounds as promising antidiabetic agents. By examining scientific publications from 2020 to 2025, the review highlights substantial evidence that various plant-derived metabolites such as flavonoids, phenolic acids, terpenoids, and glycosides from Orthosiphon stamineus, Moringa oleifera, Syzygium polyanthum, Tinospora crispa, and Albizia saman demonstrate notable affinity toward several crucial enzymes implicated in type 2 diabetes, including DPP-4, SGLT-2, α-glucosidase, and PTP1B. Findings from molecular docking analyses and ADMET simulations indicate that many of these compounds exhibit favorable pharmacokinetic behavior, strong receptor interactions, and minimal toxicity, suggesting their potential as multitarget natural therapeutics with synergistic modes of action. Utilizing in silico screening as an initial step effectively predicts biological activity and pharmacological profiles prior to experimental validation through in vitro and in vivo testing, thus reducing both time and research expenditure. The synergy between computational modeling, medicinal chemistry, and phytochemical exploration establishes a scientific framework that supports the advancement of rational, safe, and sustainable herbal-based antidiabetic drug development derived from Indonesia’s vast biodiversity and encourages self-reliance within the national pharmaceutical sector.

This study aims to analyze the influence of leadership style, work motivation, and the work environment on employee loyalty at Coffee Shop Lingkar in Semarang City. The background of this study stems from the phenomenon of fluctuating employee loyalty levels, characterized by staff turnover within a certain period. The research method used a quantitative approach with census sampling, with the entire population of 36 employees being sampled. Data were collected through a Likert-scale questionnaire and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) using the SmartPLS 4 application. The results show that leadership style has a positive and significant effect on employee loyalty. Work motivation also proved to have a positive and significant effect and was the dominant factor influencing loyalty. Furthermore, the work environment had a positive and significant effect, although its influence was less significant than the other variables. Overall, these three variables explained 82.4% of employee loyalty, with the remainder influenced by factors outside this study. This research provides a practical contribution to Coffee Shop Lingkar's management in improving employee loyalty through developing a participatory and transformational leadership style, providing continuous motivation, and creating a conducive work environment.

Rapid technological advancements have encouraged smartphone sellers to emphasize good product quality to meet customer needs in order to achieve customer satisfaction and repurchase intentions. A positive brand image and good perceived value are important factors in building customer satisfaction, which ultimately impacts repurchase intentions. This study aims to examine the influence of product quality, brand image, and perceived value on customer satisfaction and thus increasing repurchase intentions. The study was conducted in Jakarta with a descriptive causality design through a quantitative approach and purposive sampling technique. Data were obtained from 131 respondents who have used an iPhone. The conceptual model analysis was conducted using the Structural Equation Modeling method. The results show that product quality, brand image, and perceived value significantly increase customer satisfaction. Furthermore, customer satisfaction has been shown to encourage repurchase intentions. In addition, product quality, brand image, and perceived value each have a positive influence on repurchase intentions through the mediation of customer satisfaction. Thus, all hypotheses of this study are proven to have a positive influence. The contribution of this research is expected to provide understanding for producers in developing their business, as well as being a reference for developing marketing strategies that emphasize improving product quality, building a strong brand image, managing value perceptions, and increasing customer satisfaction in order to attract consumer interest in repeating the same product.

The advancement of digital technology has brought crucial impacts on the transformation of the learning process and the formation of student identity. Teachers as educators are required to have appropriate strategies to ensure that technological progress can be utilized positively in character building. This study aims to identify and evaluate teachers' pedagogical strategies implemented in shaping students' character integrity in the context of the digital era. The method used was a literature study by examining theories, journals, books, and relevant research on teacher strategies and character education applicable in the digital era context. The results indicate that effective strategies include integrating character education in digital learning, teacher role modeling in technology use, habituation of ethical behavior in cyberspace, and collaboration with parents in monitoring students' digital activities. The role playing strategy proves effective as a learning method that can help students face various digital situations wisely and responsibly. Teachers have a central role in guiding students to be able to use technology wisely and with character, not only focusing on academic achievement but also on character development that is relevant to 21st-century needs.

This study explores the role of Christian religious education teachers in shaping students’ character within the school setting. Employing a literature review method, the research analyzes secondary sources that discuss character formation theories grounded in Biblical principles and Christian education approaches. Key values examined include love, honesty, responsibility, forgiveness, and compassion, which are integrated into the learning process. The findings reveal that Christian religious education teachers hold a crucial position as educators, mentors, and role models, responsible for guiding students in internalizing these values. Character development is fostered not only through formal lessons but also through teachers’ personal example, the incorporation of Biblical teachings into classroom activities, and the encouragement of practical faith expressions in daily life. This holistic approach ensures that students not only understand Christian moral principles cognitively but also embody them in behavior and interactions with others. The study emphasizes that effective character formation relies on consistent modeling of values by teachers, meaningful integration of religious teachings into pedagogy, and opportunities for students to practice faith-based actions, thereby strengthening both moral awareness and ethical conduct.

PT Care Spunbond faces significant challenges in managing production status reports due to its reliance on a manual, paper-based recording system. This results in non-real-time data input, slow data processing, and a high risk of data loss or corruption. To address these issues, this study aims to design a user-friendly, web-based dashboard for monitoring and reporting production status. This system is designed to enable fast data input, provide easy access for the Quality department, and provide secure and integrated data storage. The research method used is a descriptive approach with data collection techniques through observation, interviews, and literature studies. After that, a system analysis was conducted using the PIECES framework to identify existing problems, followed by the design of a UML (Unified Modeling Language)-based system. The results show that the proposed system can improve data processing efficiency, improve report accuracy, and ensure better production data security. With the implementation of this system, the company is expected to accelerate data-driven decision-making, increase transparency, and support efforts to continuously improve product quality.

This study examines job satisfaction among outsourcing employees in the Pelayanan Teknis Timur (PTT) Division of PDAM Surya Sembada Surabaya, with particular attention to the effects of workload and work environment. PDAM Surya Sembada Surabaya, a company specializing in the processing and distribution of clean water in Surabaya, frequently encounters job dissatisfaction attributed to excessive workload and suboptimal work conditions. A quantitative research design was implemented, utilizing structural equation modeling (SEM) with SmartPLS software for data analysis. Saturated sampling was applied, resulting in a sample of 57 respondents. The findings indicate that increased workload tends to reduce job satisfaction, while improvements in the work environment are associated with higher job satisfaction.

Hospitals in DKI Jakarta continue to face service quality challenges, including long waiting times, fragmented information systems, and limited patient access to digital health technologies. Although digital transformation and digital literacy are expected to enhance service quality, the mediating role of patient experience remains insufficiently explored. This study investigates the effects of digital transformation and digital literacy on service quality, with patient experience as a mediating variable. A quantitative explanatory design was applied using data from 200 outpatients. Measurements were based on validated indicators of digital transformation, digital literacy, patient experience, and service quality. Structural Equation Modeling (SEM) with AMOS was employed for analysis. The findings show that digital transformation significantly improves patient experience and service quality. Digital literacy positively affects patient experience but does not directly influence service quality. Patient experience fully mediates the relationship between digital literacy and service quality and partially mediates the effect of digital transformation. These results highlight the critical role of patient experience in translating digital capabilities into perceived service improvements. Hospitals are encouraged to strengthen digital transformation initiatives, enhance digital literacy support—especially for older adults—and design user-friendly digital services that facilitate communication and access. This study integrates the Technology Acceptance Model and Customer Experience Theory to provide empirical evidence on how digital-based interventions can advance hospital service quality.

The ornamental flower industry in Indonesia has shown a significant growth trend and is increasingly gaining popularity among the public. Numerous flower shops have emerged in various cities, offering a wide range of cut flowers. This sector holds promising potential for continuous development. Cut flowers of various types also possess high economic value, making them an attractive and profitable business opportunity. This study aims to examine the influence of service quality, product quality, and price perception on customer satisfaction at Shanum Florist Fresh Flower Shop in Tuban City. This study employed a quantitative research approach using a survey method by distributing online questionnaires to respondents selected through a convenience sampling technique, involving a total of 112 participants. The collected data were analyzed using Structural Equation Modeling based on Partial Least Squares (SEM-PLS) with the assistance of the SmartPLS software. The study results reveal that service quality positively and significantly influences customer satisfaction, while product quality shows a positive yet insignificant impact. Additionally, price perception demonstrates a positive and significant relationship with customer satisfaction.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.