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The development of digital technology has changed the paradigm of church ministry from a conventional model to a more participatory digital and metaverse-based ministry. This study aims to analyze how Christian values are integrated into the digital ministry management of the KGPM Sidang Syalom Tetey Church, North Minahasa. Using a qualitative approach with a contextual case study method, this study explores the application of faith principles such as love, responsibility, honesty, loyalty, and servant leadership in the management of the church's digital ministry. The results show that digital ministry management in this church successfully combines technological innovation with Christian spirituality through the use of digital media, multimedia team coordination, and accountable online reporting. The integration of Christian values enables the church to carry out technologically relevant ministries without losing their ethical and spiritual dimensions. In the context of the metaverse era, churches face ethical, relational, and spiritual challenges, but also gain new mission opportunities to expand their ministry across geographical boundaries. The theological implications of this study emphasize the importance of theological discernment and spiritual accountability in directing the use of technology as a means of mission, not as an end in itself. Thus, the church is called to be an ethical and prophetic agent in the midst of digital transformation, making technology a tool to glorify Christ and strengthen the faith life of the congregation.

The integration of charismata and stewardship serves as a foundational framework for transformative leadership that is relevant to the contemporary church. This study examines how the synergy between charismatic expression and stewardship practices can strengthen church leadership that is transformative, inclusive, and adaptive to the challenges of the present age. The research employs a literature review and case study approach, accompanied by thematic analysis of interview data and relevant documents. The findings indicate that the integration of charismata and stewardship fosters positive change within the life of the church and the wider community, while also supporting spiritual growth and active congregational engagement in ministry. The theological and practical implications of this integration are far-reaching, contributing both to the reinforcement of Christian leadership identity and to encouraging churches to develop leadership models that are transformative, innovative, and creative.

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.

Background: Maritime engineering has traditionally relied on reactive and preventive maintenance strategies, often leading to operational inefficiencies, unplanned downtime, and excessive costs. With the rise of smart ship technologies, predictive maintenance (PdM) has emerged as a data-driven solution, leveraging sensor-based monitoring and real-time diagnostics to optimize ship maintenance. However, its integration into maritime education remains underexplored, particularly in training vessels used for vocational learning. Original Value: This research contributes new insights into the feasibility, effectiveness, and educational relevance of predictive maintenance in maritime vocational training. Unlike previous studies that focus on commercial ship applications, this study examines PdM within the context of training vessels at Poltekpel SULUT, bridging the gap between academic training and industry expectations. Objectives: The study seeks to answer: How does predictive maintenance improve the efficiency, cost-effectiveness, and reliability of naval auxiliary systems in training vessels? Methodology: A qualitative approach was employed, integrating sensor-based performance analysis, structured interviews, and questionnaire surveys involving cadets, instructors, and industry professionals. Data were analyzed through thematic categorization, cross-group comparisons, and narrative synthesis. Results: PdM demonstrated high effectiveness in reducing downtime (92/100), optimizing maintenance efficiency (91/100), and aligning with industry practices (89/100). However, challenges in sensor accuracy (85/100) and training integration were identified. Conclusions: The findings highlight the necessity of incorporating predictive maintenance into maritime training curricula to equip future engineers with the skills required for Industry 4.0 maintenance solutions, ensuring better operational efficiency and sustainability in the maritime sector.

Background: Traditional naval maintenance strategies rely on centralized supply chains and pre-manufactured spare parts, leading to long repair downtimes and logistical inefficiencies, particularly for vessels operating in remote maritime regions. Additive manufacturing (3D printing) offers a disruptive alternative by enabling on-demand production of spare parts, reducing dependence on external suppliers, and enhancing fleet self-sufficiency. However, material durability, operational feasibility, and cost-effectiveness remain underexplored for naval applications. Original Value: This research advances the study of AM in naval engineering, assessing its practical viability beyond theoretical potential. Unlike previous studies focusing on commercial maritime applications, this study evaluates 3D printing’s impact on naval fleet readiness, supply chain resilience, and sustainability. Objectives: The study investigates how 3D printing can optimize naval maintenance efficiency, specifically analyzing its feasibility, material performance, cost implications, and logistical advantages. Methodology: A qualitative-empirical approach was used, combining material performance testing, expert interviews, and operational case studies to evaluate mechanical durability, economic feasibility, and AM integration challenges. Results: Findings indicate that AM reduces repair downtime by 40%, lowers part procurement costs by 30–50%, and enhances supply chain resilience. However, material limitations and infrastructure readiness remain key adoption challenges. Conclusions: Hybrid AM adoption—where 3D printing supplements rather than replaces traditional manufacturing—offers the most practical near-term approach for naval fleets. Strategic investment in material research, onboard AM training, and fabrication infrastructure will enhance fleet efficiency, reduce environmental impact, and future-proof maritime maintenance strategies.

Learning style theories have long been used to understand individual differences in learning processes. Models such as VAK (Visual, Auditory, Kinesthetic) and Multiple Intelligences offer frameworks for adapting instructional strategies to students’ preferences. However, these approaches have been criticized for their reductionism and limited empirical validity, often neglecting the holistic nature of human learning. In contrast, the Islamic concept of fitrah provides a more comprehensive perspective, encompassing intellectual, spiritual, moral, and emotional dimensions in an integrated manner. This conceptual article aims to analyze and integrate Western learning style theories with Islamic perspectives to develop a more holistic learning paradigm. Through an extensive literature review and theoretical analysis, the article proposes an integrative model that bridges empirical approaches with spiritual values. Theoretically, this integration enriches academic discourse by connecting two distinct knowledge traditions. Practically, it offers a framework for educators and institutions to design adaptive learning processes that address learner diversity while fostering spiritual and moral development.

This report presents a comprehensive overview of the crucial role of Proportional-Integral-Derivative (PID) control systems in maintaining an optimal environment for premature neonates in modern infant incubators. The main focus is directed on the effectiveness of the PID system in regulating vital physiological parameters such as temperature, humidity, and stability of the baby's body temperature, which greatly determine the survival and development of the neonate. The PID control system is proven to be able to provide a fast and accurate response to changes in environmental conditions, thus maintaining parameter stability in real-time. The integration of PID technology with modern incubator devices enables precise automatic setup, supports energy efficiency, and improves patient safety and comfort. The report also discusses various PID tuning methods, such as Ziegler-Nichols and adaptive methods, which are used to improve the performance of the system in the face of environmental dynamics and individual characteristics of infants. Implementation challenges identified include system complexity, need for periodic calibration, and limited technical resources in healthcare facilities. However, continuous innovations in control design and algorithms have driven the evolution of incubator devices to be more intelligent and responsive. Thus, the PID control system plays a central role in supporting neonatal life-support technologies, while representing significant advances in biomedical engineering and intensive care of premature infants.

This study examines the application of Educational Data Mining (EDM) to predict the academic per-formance of first-year students at the Catholic University of Bukavu and the Higher Institute of Edu-cation (ISP) in the Democratic Republic of Congo. The primary objective is to develop a model that can identify at-risk students early, providing the university with a tool to enhance student support and academic guidance. To address the challenges posed by data imbalance (where successful cases outnumber failures), the study adopts a hybrid methodological approach. First, the SMOTE algorithm was applied to balance the dataset. Then, a stacking classification model was developed to combine the predictive power of multiple algorithms. The variables used for prediction include the National Exam score (PEx), the secondary school track (Humanities), and the type of prior institution (public, private, or religious-affiliated schools), as well as age and sex. The results demonstrate that this approach is highly effective. The model is not only capable of predicting success or failure but also of forecasting students' performance levels (e.g., honors or distinctions). Moreover, the use of the Apriori association rule mining algorithm allowed the identification of faculty-specific success profiles, transforming prediction into an interpretable decision-support tool. This research makes several significant contributions. Practically, it provides the University of Bukavu with a tool for student orientation and early risk detection. Methodologically, it illustrates the effectiveness of a combined approach to EDM in an African context. However, the study acknowledges certain limitations, including the non-public nature of the data and the geographical specificity of the sample. It therefore proposes avenues for future research, such as the integration of Explainable AI (XAI) techniques for more refined and transparent analysis of the results.

Competition in recruiting high-quality talent has intensified due to the advancement of digital technology, globalization, and the shifting preferences of younger generations in choosing their workplace. Traditional recruitment models are no longer sufficient, requiring companies to integrate employer branding with recruitment marketing strategies to attract potential candidates effectively. This study aims to analyze how PT Surya Pratista Hutama (SUPRAMA), a food manufacturing company, implements employer branding to strengthen its corporate image and enhance recruitment effectiveness. The research employed a qualitative descriptive method through observation, interviews, and documentation studies with the Human Capital and Corporate Communication Division. The findings reveal that SUPRAMA’s employer branding strategy is carried out through organizational culture strengthening, the use of digital platforms, consistent visual identity, and collaboration with educational institutions. The integration of these strategies has proven to increase the number of qualified applicants, improve candidate experience, and enhance the company’s reputation as an employer of choice. However, challenges remain in maintaining consistent branding communication and developing innovative digital content. This study concludes that employer branding is not merely a communication tool but also a long-term investment in human resource management.

Equal access to education is a crucial issue in Islamic educational institutions in Indonesia. Ensuring that all students, without exception, have equal access to quality education is vital for the advancement of education in the country. In this context, Management Information Systems (MIS) play a crucial role in enhancing the efficiency, effectiveness, and transparency of educational services. The implementation of MIS can streamline administrative processes, improve decision-making, and facilitate more equitable access to educational resources. This research employs a literature study approach, relying on books and journal articles as primary sources. The findings indicate that the application of MIS provides significant benefits in terms of planning, management, and evaluation. By providing real-time data, MIS enables educational institutions to make better decisions, monitor student progress, and allocate resources more effectively. Additionally, MIS enhances the transparency of educational services, ensuring that all stakeholders—students, parents, and educators—have access to important information related to educational processes and outcomes. However, challenges in the implementation of MIS remain, such as technical barriers related to inadequate infrastructure and limited access to technology, as well as human resource issues like insufficient training. To address these challenges, the research recommends providing comprehensive training programs for educators and administrators, investing in technological infrastructure, and promoting data integration across educational institutions. Overall, while MIS offers many advantages in promoting equal educational access, addressing technical and human resource challenges is crucial to fully realizing its potential in Islamic educational institutions in Indonesia.

This study analyzes the dynamics of Non-Performing Loans (NPLs) in the Indonesian banking sector by examining both internal and external factors affecting financial stability. The variables included in the research are NPL, Loan to Deposit Ratio (LDR), lending interest rate, inflation, Household Debt to Income (HDTI), fintech lending, and Capital Adequacy Ratio (CAR). Using annual secondary data from 2005 to 2024, sourced from the World Bank and Statistics Indonesia (BPS), the study employs a Vector Autoregression (VAR) method. This method includes stationarity tests, optimal lag selection, cointegration tests, Impulse Response Function (IRF), and Forecast Error Variance Decomposition (FEVD). The results show that most variables demonstrate a dominant contribution from their own shocks, although interactions between variables remain significant. The IRF analysis reveals that CAR and HDTI are relatively stable and quickly return to equilibrium, while fintech lending, inflation, and NPLs show more volatile responses, making them more susceptible to external shocks. LDR and lending interest rates are sensitive in the short term but tend to stabilize over the long run. FEVD further indicates that inflation plays a significant role in driving NPL variations, while fintech lending is closely associated with CAR in the long term. The study concludes that the stability of Indonesia’s banking sector is influenced by both internal factors like CAR and LDR, as well as external factors such as inflation, fintech lending, and household debt. Thus, a coordinated approach involving monetary policy, macroprudential measures, and financial supervision is crucial to enhance the resilience of the banking sector against global and domestic economic shifts.

The Population and Civil Registration Office of Situbondo Regency faces challenges in improving the efficiency of recording and reporting the performance of Non-ASN employees, which has so far been conducted through temporary notes and documents. This approach is prone to delays, input errors, and suboptimal data management. To address this issue, this study aims to design a web-based information system capable of recording, managing, and displaying Non-ASN employee performance reports in a structured and real-time manner. The system is developed using PHP programming language and MySQL database to support dynamic and integrated data management. The system development follows the V-Model approach, which emphasizes verification and validation at each development stage, including requirement analysis, system design, module design, implementation, unit and integration testing, and maintenance. The result of this study is an information system that facilitates performance data entry, accelerates report generation, and improves accuracy and transparency in evaluating Non-ASN employee performance. In addition, the system is designed with a responsive web interface that is easy for stakeholders to use.

This research aims to analyze the risk factors of occupational accidents and identify effective prevention efforts within the context of Micro, Small, and Medium Enterprises (MSMEs), specifically at Inkside Sablon. This qualitative study, employing a case study approach, utilized in-depth interviews, participant observation, and documentary analysis for data collection. The findings indicate that occupational accident risk factors at Inkside Sablon are influenced by several aspects, including human factors such as lack of safety awareness and fatigue, environmental factors like inadequate ventilation and suboptimal lighting, and equipment factors such as non-ergonomic tools and insufficient maintenance. The prevention efforts implemented by Inkside Sablon are still partial and not well-structured, thus requiring the integration of more comprehensive safety programs, such as enhanced safety and health (OSH) training, provision of appropriate personal protective equipment (PPE), and improvements in management and supervision systems. It is expected that the implementation of these measures will increase worker awareness and reduce the number of occupational accidents, thereby creating a safer and more productive work environment

This study aims to analyze the financial risk management strategy of PT. Chandra Asri based on the company's 2024 annual report. As the largest petrochemical company in Indonesia, PT. Chandra Asri faces multiple financial risks including market volatility, credit exposure, liquidity constraints, operational disruptions, and systemic shifts due to global energy transitions. Using a qualitative descriptive approach grounded in the ISO 31000 framework, the study examines how the company identifies, assesses, responds to, and monitors each risk category. The findings reveal that while hedging, credit controls, and liquidity management systems are in place, the decline in net income and working capital indicates areas that require stronger adaptation. Additionally, the study highlights the company's strategic shift toward sustainable practices in response to systemic risks. PT. Chandra Asri's integration of sustainability into its risk management strategy showcases a forward-thinking approach, acknowledging the importance of both financial resilience and environmental responsibility. This research contributes to the understanding of risk management practices in the petrochemical sector and provides valuable insights for developing resilient financial strategies amidst global economic uncertainty. It also offers practical recommendations for improving risk management frameworks, ensuring long-term growth and stability in an increasingly volatile global market

The integration of Internet of Things (IoT) with cloud computing has revolutionized healthcare systems, offering scalable and real-time patient monitoring. However, optimizing response times and energy consumption remains crucial for efficient healthcare delivery. This research evaluates various algorithmic approaches for workload migration and resource management within IoT cloud-based healthcare systems. The performance of the implemented algorithm in this research, Hybrid Dynamic Programming and Long Short-Term Memory (Hybrid DP+LSTM), was analyzed against other six key algorithms, namely Gradient Optimization with Back Propagation to Input (GOBI), Deep Reinforcement Learning (DRL), improved GOBI (GOBI2), Predictive Offloading for Network Devices (POND), Mixed Integer Linear Programming (MILP), and Genetic Algorithm (GA) based on their average response time and energy consumption. Hybrid DP+LSTM achieves the lowest response time (82.91ms) with an energy consumption of 2,835,048 joules per container. The outcome of the analysis showed that Hybrid DP+LSTM have significant response times improvement, with percentage increases of 89.3%, 79.0%, 83.8%, 97.0%, 99.8%, and 99.94% against GOBI, GOBI2, DRL, POND, MILP, and GA, respectively. In terms of energy consumption, Hybrid DP+LSTM outperforms other approaches, with GOBI2 (3,664,337 joules) consuming 29.3% more energy, DRL (2,973,238 joules) consuming 4.9% more, GOBI (4,463,010 joules) consuming 57.4% more, POND (3,310,966 joules) consuming 16.8% more, MILP (3,005,498 joules) consuming 6.0% more, and the GA (3,959,935 joules) consuming 39.7% more. The result of ablation of the Hybrid DP+LSTM model achieves a 47.05% improvement over DP-only (156.57ms) and a 70.64% improvement over LSTM-only (282.41ms) in response time. On the energy efficiency side, Hybrid DP+LSTM shows 22.80% improvement over LSTM-only (3,671,51 joules), but 7.34% underperformance compared to DP-only (2,640,93). These research findings indicate that the Hybrid DP+LSTM technique provides the best trade-off between response time and energy efficiency. Future research should further explore hybrid approaches to optimize these metrics in IoT cloud-based healthcare systems.

Emotional neglect is a form of non-physical maltreatment that occurs when a child fails to receive sufficient emotional support, attention, and affection necessary for proper psychological growth. This study aimed to explore the lived experiences of emotional neglect among a male juvenile inmate at the Correctional House for Adolescents (LPKA) Class II Payakumbuh and to understand how these experiences influenced emotional and behavioral development prior to engagement in criminal activities. A qualitative design with a descriptive phenomenological approach was employed, and data were collected through three in-depth interviews with a 17-year-old participant who had experienced emotional neglect since childhood. Analysis was conducted using Interpretative Phenomenological Analysis (IPA) stages. Findings revealed that emotional neglect caused deep emotional wounds, persistent loneliness, family disintegration, and emotional escape through deviant behaviors, including drug use and also criminal acts. The participant also expressed a profound emotional longing for his mother and attempted to reconstruct his self-identity by seeking supportive relationships outside the family environment. The study emphasizes the critical importance of emotional care in parenting and highlights the need for systemic interventions and support for children raised in dysfunctional families to prevent the development of maladaptive behaviors and to promote healthier emotional and social development.

The increasing number of students in major cities such as Medan has created an urgent need for temporary housing that is adequate, comfortable, and sustainable. In response, the Indonesian government, through the Ministry of Public Works and Public Housing (PUPR), launched the "One Thousand Towers Program," which includes the development of rental apartment buildings (Rusunawa) for students. However, housing provision must go beyond quantity—it must also consider environmental aspects and the quality of life for its occupants. Therefore, a green architecture approach serves as the foundation for the design of environmentally friendly student housing. This project aims to create a vertical residential facility that not only fulfills the basic function of shelter but also supports learning activities, social interaction, energy efficiency, and environmental sustainability. The design applies key principles of green architecture such as natural lighting, cross ventilation, the use of eco-friendly materials, and the integration of green open spaces. In addition to double-room residential units, the building is equipped with supporting facilities such as study areas, a library, cafeteria, and rooftop garden. The design methodology integrates both primary and secondary data analysis, as well as a comprehensive site study covering climate, noise levels, circulation, and building orientation. The building form concept is developed modularly and efficiently through mass transformation, resulting in an inner court that provides natural light and air. Supported by energy-saving utilities, this design is expected to offer a student housing solution that is not only functional and aesthetic but also contributes to sustainable and high-quality urban development.

This community service initiative aims to apply biopore infiltration hole technology as a community-based flood mitigation solution in Labuhan Ratu District, Bandar Lampung City. This area faces major problems in the form of a high risk of waterlogging caused by low soil absorption, predominance of watertight surfaces, and suboptimal drainage systems. The program is carried out with a project-based community empowerment approach, where as many as 50 local residents are involved in each stage of the activity. These stages include environmental awareness campaigns, technical training on making biopore infiltration holes, providing equipment, and direct practice in the field. A total of 100 strategic points in the Dasawisma Palapa 6 environment are the locations for the implementation of biopores. The results of the activity show that this simple technology effectively improves the soil's ability to absorb water and reduce surface runoff, so that the risk of inundation can be reduced. In addition, this activity also encourages the formation of community groups that are tasked with maintaining biopores, in order to ensure the sustainability of long-term benefits. This program not only has a positive impact on the quality of the physical environment, but also strengthens the capacity of citizens to manage natural resources based on appropriate technology. The active participation of the community has proven to be the key to success, as it creates a sense of belonging while increasing ecological awareness at the local level. These findings confirm that the integration of simple technological innovations and community empowerment is an effective strategy in building sustainable environmental solutions, especially in the face of urban flood challenges.

The background for the establishment of Law Number 27 of 2022 concerning Personal Data Protection raises a critical question that the Indonesian government must address, who will oversee and safeguard the security of citizens' data in public administration systems. The purpose of this study is to examine the implementation of One Data Indonesia through Presidential Regulation Number 39 of 2019 (Perpres No. 39 of 2019) regarding One Data Indonesia, which remains a strong foundation for regulating government data governance. Unfortunately, this regulation does not yet include security aspects, which should be one of the principles of One Data Indonesia. This study explores Perpres No. 39 of 2019 as a critique of the regulation. The findings highlight the importance of incorporating security aspects to protect the sovereignty of government data used in public administration, especially in electronic processes conducted domestically. The principle of data security is a crucial component of the implementation of One Data Indonesia, which will be integrated with various other policy products, such as the Presidential Regulation on Electronic-Based Government Systems, the Presidential Regulation on Accelerating Digital Transformation and Integration of National Digital Services, the Law on Information and Electronic Transactions, the Law on Personal Data Protection, and other relevant regulations.

This study provides an in-depth analysis of the benefits of implementing a SAP-based Enterprise Resource Planning (ERP) system for end-users at PT XY, an Indonesian airport management company. A qualitative case study approach was applied through comprehensive in-depth interviews and direct observations of accounting division staff who actively utilize the SAP Financial Accounting (FI), Controlling (CO), and Materials Management (MM) modules as part of their daily operations. The findings demonstrate that SAP implementation significantly enhances work efficiency, data accuracy, and overall operational productivity across multiple business processes. The system facilitates seamless cross-departmental integration, reduces manual errors, accelerates financial reporting, and supports real-time, data-driven decision-making. Furthermore, SAP strengthens internal coordination by providing consistent, centralized, and easily accessible information to all relevant stakeholders. Key challenges identified include limited network access, server congestion during peak hours, and difficulties with remote connections when accessing the system outside the office environment. The company addressed these issues through regular user training, provision of secure Virtual Private Network (VPN) access, expansion of server capacity, and a strategic plan to migrate to cloud-based SAP S/4HANA to improve flexibility, scalability, and long-term system reliability. The findings not only enrich the literature on ERP adoption, with practical guidance for other organizations seeking to plan, implement, and evaluate ERP systems to meet their own business needs, including effective human resource planning and change management strategies.