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The study critically examines the Gospel of John as a theological text integrating the incarnate Logos and sacramental symbolism. Using a qualitative, library-based approach with historical-critical and hermeneutical analysis, it shows that John’s Gospel not only narrates Jesus’ life but constructs a symbolic, existential, and transformative theological reflection. The Logos shifts from a metaphysical principle to a personal reality in history through the incarnation, enabling a concrete encounter between God and humanity. Within this framework, symbols such as water and bread function as media of revelation guiding individuals toward a living, relational faith experience. Furthermore, sacramental symbolism in the Gospel of John is ontologically grounded in the incarnation of the Logos. Faith is thus understood not merely as intellectual assent but as participation in divine life that transforms human existence. The integration of Christological and sacramental dimensions indicates that faith is holistic, encompassing spiritual, material, and relational aspects. Thus, the Gospel of John presents a theological vision of faith as a concrete and dynamic existential encounter, relevant for contemporary theological reflection.

The phenomenon of university students simultaneously undertaking academic studies and employment has become increasingly common, creating unique challenges in balancing work responsibilities and academic obligations. This study aims to examine the effects of job demands and time management on academic performance, with academic self-efficacy serving as a mediating variable among undergraduate and postgraduate students who work while pursuing higher education. The research employed a quantitative approach using a causal research design. Data were collected through an online questionnaire administered to 50 working students selected through purposive sampling. The study measured four variables, namely job demands, time management, academic self-efficacy, and academic performance. Data were analyzed using multiple regression analysis, Baron and Kenny’s causal steps approach, and the Sobel test to examine mediation effects. The findings reveal that time management has a positive and significant effect on both academic self-efficacy and academic performance. Academic self-efficacy also demonstrates a positive and significant influence on academic performance and emerges as the strongest predictor in the model. In contrast, job demands do not significantly affect either academic self-efficacy or academic performance. Furthermore, academic self-efficacy does not mediate the relationship between job demands and academic performance. However, academic self-efficacy fully mediates the relationship between time management and academic performance, indicating that effective time management enhances students’ confidence in their academic abilities, which subsequently improves their academic outcomes. These findings highlight the importance of strengthening time management skills and academic self-efficacy to support the academic success of working students in higher education institutions.

In the digital era, job-seeking mechanisms have evolved through e-recruitment platforms, particularly for Gen Z fresh graduates. However, seamless digital access does not inherently trigger a high intention to apply for jobs, suggesting a complex interplay between internal psychological states and external technical factors. Objective: This investigation empirically examines the extent to which self-efficacy and the effectiveness of e-recruitment systems influence the intention to apply for jobs among Gen Z fresh graduates in Tasikmalaya Regency. Methodology: This study employed an explanatory quantitative approach involving 80 subjects selected via purposive sampling. Data evaluation was conducted through Multiple Linear Regression analysis using SPSS software. Findings: The research data demonstrates that both self-efficacy and digital recruitment systems exert a positive and significant impact on job application intentions, both independently and simultaneously. Furthermore, self-efficacy was identified as a more dominant predictor compared to recruitment technology. An R-Square value of 0.590 indicates that these two variables account for 59% of the variation in job application intentions. Implications: Companies are encouraged to continuously modernize their recruitment infrastructure while considering the psychological readiness of applicants and strengthening corporate branding to attract high-potential new graduates.

This study analyzes how digital interface design (UI/UX) and system architecture are manipulated to unethically extract user consent, resulting in personal data commercialization and massive online loan (pinjol) spam marketing. Employing a mixed-methods approach, this research combines descriptive quantitative analysis of digital user perception surveys with qualitative observations involving UI teardowns, privacy policy evaluations, and extensive literature reviews. Initial findings indicate a profound crisis of genuine informed consent, exacerbated by the deployment of dark patterns such as pre-ticked checkboxes, disguised opt-out architectures, and information overload engineered into legal documents. This systematic manipulation facilitates unauthorized personal data distribution to third parties under the guise of legitimate agreement, directly triggering privacy intrusions and psychological distress, including severe anxiety among data subjects. Philosophically and morally, these practices constitute a severe breach of Information Technology Professional Ethics (EPTI). Consequently, this study highlights the urgent need for developer accountability and advocates for the implementation of proactive, transparent ethical design frameworks compliant with Human-Computer Interaction (HCI) standards to reclaim digital autonomy.

This study examines the transformation of business education curricula in response to the rapid expansion of the digital economy. The increasing integration of artificial intelligence, big data analytics, cloud computing, and digital platforms has significantly reshaped industrial demands and professional competencies. Using a qualitative research approach and content analysis, this study explores the challenges and strategic opportunities associated with curriculum transformation in higher education institutions. The findings reveal that universities face critical challenges related to technological infrastructure, faculty readiness, curriculum relevance, and industry alignment. However, digital transformation also provides opportunities for interdisciplinary learning, experiential education, global collaboration, and technology-driven innovation. The study emphasizes the importance of adaptive leadership, faculty development, industry partnerships, and student-centered pedagogies in supporting sustainable curriculum reform. Ultimately, transforming business education curricula is essential for preparing graduates with digital competencies, critical thinking abilities, and innovative skills necessary to compete effectively in the global digital economy.

Personal hygiene practices during menstruation is important to maintaining the reproductive health of adolescent girls and preventing reproductive organ infections. Poor hygiene causes post-menstrual problems in 5.2 million adolescents in Indonesia, such as reproductive tract infections, urinary tract infections, pathological vaginal discharge, fungal infections, genital area irritation, and unpleasant odor. Factors influencing personal hygiene practices during menstruation include knowledge, perceptions, attitudes, and infrastructure. This study was aimed determine the relationship between knowledge, perceptions, attitudes, and infrastructure and personal hygiene practices during menstruation among female students at the Daarussa'adah Qur'an Tahfidzil Islamic Boarding School in Pesawaran in 2026. This study was quantitative with a cross-sectional approach. The population was all female students at the Daarussa'adah Qur'an Tahfidzil Islamic Boarding School in Pesawaran, and a sample of 74 respondents was selected using total sampling. Data analysis used the chi-square test with a significance level of 95%. The results of the study showed a relationship between knowledge (p-value = <0.001; OR = 279.000), perception (p-value = <0.001; OR = 620.000), attitude (p-value = <0.001; OR = 165.333), and infrastructure (p-value = <0.001; OR = 0.002) and personal hygiene behavior during menstruation. Suggested for the Islamic boarding schools include routinely improving reproductive health education regarding personal hygiene during menstruation and providing adequate infrastructure to support the development of good knowledge, perceptions, and attitudes, so that female students can optimally implement personal hygiene behaviors during menstruation.

This study aimed to examine the association between physical activity and nutritional status as risk factors for noncommunicable diseases among women of reproductive age. A descriptive quantitative study with a cross-sectional approach was conducted in Kranggan Village involving 35 respondents selected through purposive sampling. Data on physical activity were collected using questionnaires, while nutritional status was assessed based on Body Mass Index (BMI). The findings showed that most respondents had moderate physical activity levels (51.4%), followed by low physical activity levels (42.8%). Regarding nutritional status, the majority of respondents were classified as overweight (51.4%) and obese (28.6%). Statistical analysis demonstrated a significant relationship between physical activity and nutritional status (p = 0.003). The results indicate that inadequate physical activity is associated with increased nutritional status problems, particularly overweight conditions. Therefore, low physical activity and excessive body weight represent interconnected risk factors contributing to the development of noncommunicable diseases among women of reproductive age. This study highlights the importance of promoting regular physical activity and maintaining balanced nutritional status as preventive strategies to reduce the risk of noncommunicable illnesses.

Stigma toward people with mental disorders affects not only individuals living with mental illness but also the psychological well-being of family members who serve as their primary caregivers. Families often experience social rejection, discrimination, and negative stereotypes, which increase emotional and psychological burdens while reducing the quality of care they provide. This study aimed to explore the impact of stigma on the psychological well-being of families caring for people with mental disorders in Pamekasan Regency. A qualitative study using a phenomenological approach was conducted involving 11 participants selected through purposive sampling. Data were collected through in-depth interviews and analyzed using thematic analysis to identify participants' lived experiences. The findings revealed one overarching theme, namely the negative impact of stigma, which consisted of three categories: effects on family members, family relationships, and patients. Stigma generated feelings of sadness, anxiety, psychological distress, sleep disturbances, social withdrawal, family conflicts, and changes in family interactions with patients. These experiences negatively influenced caregivers’ emotional well-being and their ability to provide optimal support for family members with mental disorders. The study concludes that stigma has a substantial adverse impact on the psychological well-being of family caregivers and the quality of care provided to people with mental disorders. Therefore, comprehensive interventions focusing on stigma reduction, community education, and strengthening psychosocial support systems are essential to improve family resilience and promote better mental health outcomes.

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.

Corporate insolvency regimes have long been designed around efficiency, creditor recovery, and procedural certainty, frequently marginalizing the human, social, and distributive consequences of corporate failure. This qualitative literature review seeks to reconceptualize insolvency as a multidimensional institutional process by integrating the principles of humanity, resilience, and equity, with the objective of developing fairness metrics for more inclusive insolvency systems. Drawing on interdisciplinary scholarship from insolvency law, corporate governance, economic sociology, and normative political theory, this study systematically synthesizes peer reviewed literature published between 2000 and 2024 using a structured qualitative thematic analysis. The review identifies three interrelated dimensions shaping inclusive insolvency outcomes. First, humanity-oriented approaches emphasize stakeholder vulnerability, dignity preservation, and procedural justice, particularly for employees, involuntary creditors, small suppliers, and local communities affected by corporate collapse. Second, resilience based perspectives frame insolvency not merely as an endpoint of failure but as an adaptive governance mechanism that enables organizational recovery, institutional learning, and broader systemic stability. Third, equity focused frameworks highlight the importance of proportional and context sensitive loss allocation, stakeholder participation, and intertemporal fairness in distributing the economic and social costs of insolvency. By integrating these dimensions, the study develops a conceptual framework of fairness metrics that extends beyond traditional efficiency-driven indicators, offering normative and analytical tools for evaluating insolvency systems in a more holistic manner. The findings contribute to insolvency scholarship by bridging fragmented theoretical strands and advancing a human-centered and resilience oriented understanding of corporate failure. The review further suggests that insolvency regimes embedding humanity, resilience, and equity are more likely to enhance institutional legitimacy, stakeholder trust, and long term economic sustainability, thereby providing a robust foundation for future empirical research and policy reform.

This paper offers a comparative analysis of character education through the lens of Islamic and secular humanistic paradigms. Recognizing the increasing cultural and religious diversity in contemporary educational settings, the study emphasizes the importance of an integrative approach that respects both spiritual and rational ethical frameworks. Islamic character education centers on virtues derived from divine guidance, fostering a moral compass anchored in faith, while secular humanistic education promotes critical thinking, autonomy, and universal ethical principles grounded in reason and empathy. By synthesizing these approaches, educators can cultivate learners’ moral resilience, empathy, and ethical commitment within pluralistic societies. The paper further highlights the benefits of intercultural dialogue, pedagogical innovation, and cultural competence for teachers, parents, and communities in supporting holistic moral development. Ultimately, the integration of these models enriches character education, preparing students to become ethically responsible and socially engaged citizens in globalized contexts

This study examines the gap between Nestlé’s sustainability commitments and the reality of ecological damage caused by the use of unsustainable raw materials in its global supply chain. Using a descriptive qualitative approach based on literature reviews and case study analysis, this study evaluates various data sources, ranging from scientific journals and corporate reports to documentation from independent organizations such as Greenpeace and the Rainforest Action Network. Findings indicate that Nestlé’s procurement of key commodities such as palm oil, cocoa, soy, dairy products, and singleuse plastics significantly contributes to deforestation, systemic plastic pollution, water extraction in vulnerable regions, and greenhouse gas emissions exceeding 87.5 million tons of CO₂e per year. In Indonesia, these highrisk areas are evident in palm oil sourcing in Sumatra and Kalimantan and cocoa sourcing in Sulawesi. Theoretically, this study argues that Nestlé’s sustainability governance exhibits a pattern of strategic decoupling, where public reporting on progress in primary supply chains is deliberately used to mask ongoing environmental damage within their hidden supply networks. Thus, this article makes a critical contribution by integrating supply chain management theory, environmental accountability, and the governance of multinational corporations.

Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments

This literature review synthesizes findings from fifteen peer‑reviewed studies published between 2020 and 2026 to examine the determinants of sustainable competitive advantage in the furniture industry. The analysis reveals that green innovation, environmental performance, and market orientation interact as core drivers of competitiveness, supported by theoretical perspectives including the Resource‑Based View, Natural Resource‑Based View, Institutional Theory, Circular Economy, and Strategic Management frameworks. The review highlights how internal capabilities, regulatory compliance, and responsiveness to consumer preferences collectively shape the ability of micro, small, and medium enterprises to adapt to sustainability demands in global markets. Evidence shows that eco‑innovation practices, waste recovery strategies, and clustering models enhance efficiency and legitimacy, while indicators of green growth and brand performance provide practical tools for evaluating sustainability outcomes. The synthesis underscores that competitive advantage in this sector is not determined by isolated variables but by systemic integration across resources, operations, and market dynamics. This study contributes theoretically by consolidating fragmented insights into a coherent conceptual model and practically by offering guidance for enterprises and policymakers to foster green transformation. The findings emphasize the urgency of aligning industrial practices with ecological integrity and suggest that future research should examine cross‑country variations, longitudinal impacts, and the integration of digital technologies with sustainability strategies to strengthen the resilience of furniture enterprises in the global economy.

This study aims to determine the effect of assertive leadership and self-actualization on the performance of nurses at Dr. Soekardjo Regional General Hospital in Tasikmalaya. The research design used in this study is a quantitative approach using a survey method. Research subjects: All 40 nurses working in the Melati ward were included as respondents. Research data were collected through the distribution of questionnaires to all respondents. The collected data were analyzed using a series of multiple linear regression tests, along with instrument validation and hypothesis testing. The results of the data analysis yielded the regression equation Y = 0.743 + 0.482X1 + 0.521X2 + e. Furthermore, the analysis indicated that assertive leadership positively contributes to improved nursing performance. Additionally, self-actualization also plays a role in supporting performance improvement. Simultaneously, both variables exert a significant influence on nursing performance. The coefficient of determination of 68.2% indicates that 68.2% of the variation in nurses’ performance can be explained by the two independent variables—assertive leadership and self-actualization—while the remainder is influenced by other factors outside the research model. These findings suggest that strengthening a more assertive and clear leadership style and fostering nurses’ self-actualization can serve as strategies for improving the quality of nursing care.

This study aims to analyze educational marketing management strategies in attracting students’ interest at MTs Al-Mursyidiyyah. The research employed a qualitative approach using a descriptive-analytical method. Data were collected through literature review and in-depth interviews with the school principal as the key informant. Data analysis used the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The findings reveal that MTs Al-Mursyidiyyah has comprehensively implemented educational marketing strategies based on the 7P marketing mix (product, price, place, promotion, people, physical evidence, and process). The product dimension is reflected in the integration of academic-religious curriculum supported by technology and diverse extracurricular programs. Promotional strategies are carried out through digital platforms such as Instagram, TikTok, and online admission websites, as well as conventional promotion through the annual November Festival. Strengthening human resources, modernizing facilities, and digitizing educational services also contribute to enhancing the school’s image. The study concludes that the success in attracting prospective students is strongly influenced by the synergy between product quality, promotional effectiveness, and physical evidence that build public trust in the educational institution.

Substandard housing remains a multidimensional urban problem because it intersects with structural safety, indoor environmental quality, sanitation, clean water, poverty, and the effectiveness of policy implementation. This study evaluates the implementation of the substandard housing improvement program (RTLH) in Lubuk Linggau City by integrating a technical audit of housing quality with an implementation analysis based on the variables of communication, resources, implementer disposition, and bureaucratic structure. A descriptive-evaluative mixed approach was applied through field observation, technical scoring of ten rehabilitated houses, document review, and structured interviews with regulators, field facilitators, and beneficiary households. The results show that the cumulative technical conformity index reached 3.325 out of 4.00, equivalent to 83%, and was classified as adequate housing. Structural resilience achieved the highest score at 88%, followed by space adequacy at 85%, natural lighting and ventilation at 80%, and sanitation and clean water at 75%. Five houses were classified as adequate housing, while five were classified as fairly adequate/light substandard housing. The implementation analysis indicates that clear practical communication and facilitator assistance strengthened structural quality, but limited financial resources, weak environmental-health prioritization, and administratively oriented supervision reduced sanitation and ventilation performance. The study recommends standardized septic systems, stronger post-construction technical verification, healthy-housing education, realistic unit budgets, and quality-oriented monitoring.

The governance of sand and gravel mining requires an integrated assessment of technical planning, occupational safety, environmental control, reclamation, and regulatory compliance. This study evaluated the governance of CV. Ria Bersaudara, a sand and gravel mining company located in Pasar Surulangun, Rawas Ulu District, Musi Rawas Utara Regency, using the Good Mining Practice framework. The study used a descriptive evaluative approach based on field observation, document review, indicative resource estimation, equipment productivity analysis, occupational safety and environmental risk assessment, and compliance mapping. The results show that the company has a basic legal foundation through an exploration mining permit covering 12.5 ha; however, several governance components require improvement. The indicative prospective area was approximately 2.50 ha, with an effective follow-up area of 1.80 ha and an estimated indicative resource of 21,600 m³ or 35,640 tons. Productivity analysis indicated that excavator capacity reached about 61 m³/hour, while one dump truck only transported about 10.3 m³/hour, creating a haulage bottleneck if the truck fleet is insufficient. Safety implementation was also not optimal, with personal protective equipment compliance estimated at only 55%. The study recommends validating permit documents, strengthening technical exploration data, improving drainage and sediment control, enforcing safety procedures, implementing progressive reclamation, and establishing daily operational records.

Data analysis is a fundamental stage in educational research because it determines the validity, credibility, and quality of research findings. The different philosophical paradigms underlying qualitative and quantitative approaches require distinct concepts, procedures, and analytical techniques. This study aims to examine the concepts, procedures, and implementation of data analysis in educational research using both qualitative and quantitative approaches. A literature review method was employed by analyzing books, scientific journal articles, and other relevant academic references related to educational research methodology. The findings indicate that qualitative data analysis emphasizes an interactive and iterative process involving data reduction, data display, conclusion drawing, and verification to produce credible and meaningful interpretations. In contrast, quantitative data analysis relies on systematic statistical procedures, including descriptive and inferential analyses, to test hypotheses, identify relationships among variables, and support objective decision-making. Although both approaches differ in their analytical orientation and techniques, they share the need for systematic, objective, valid, and rigorous procedures to ensure the accuracy and trustworthiness of research findings. Understanding these differences enables researchers to select analytical methods that are appropriate to their research objectives, designs, and data characteristics. This study contributes to a broader understanding of educational research methodology and provides practical guidance for researchers, educators, and university students in implementing effective and appropriate data analysis techniques.

The increasing demand for electricity and high dependence on the utility power grid have driven the adoption of photovoltaic (PV) power generation as an environmentally friendly alternative energy source. This study aims to analyze the techno-economic feasibility of a load-sharing PV power generation system, focusing on technical analysis, operational costs, electricity bill savings, and environmental impacts. The research was conducted using quantitative methods to compare energy from photovoltaic generation and the grid, carbon emission calculations using an emission factor of 0,87 kgCO₂/kWh, and economic evaluation through parameters such as Net Present Value (NPV), Return on Investment (ROI), Cost of Energy (COE), and Payback Period (PP). The research results indicate that the photovoltaic panel generation system enables reducing utility grid energy consumption and reducing carbon emissions by 4,85 tons of CO₂ in 2024, increasing to 8,45 tons of CO₂ in 2025. The economic analysis indicates that the NPV value is not yet optimal; however, the ROI stands at 15%, the COE is Rp. 980.08/kWh, and the Payback Period is 6,56 years. The system is feasible for long-term investment. Overall, the implementation of the photovoltaic power plant demonstrates good potential in supporting carbon emission reduction, increasing the utilization of renewable energy, and reducing dependence on fossil-based energy.