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The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

The increasing number of corruption cases involving School Operational Assistance (BOS) funds has become a serious challenge for the education sector in Indonesia. These cases not only undermine public trust in educational institutions but also hinder the achievement of equitable and quality education. This study aims to analyze the role of professional leadership in preventing and addressing the misuse of BOS funds within educational institutions. The research employs a qualitative approach through literature review and analysis of relevant regulations, scholarly publications, and documented corruption cases in the education sector. The findings indicate that professional leadership characterized by integrity, accountability, transparency, and strong ethical commitment plays a significant role in minimizing opportunities for corruption. Effective leaders are able to establish robust internal control systems, promote a culture of honesty, and ensure participatory financial management involving various stakeholders. Furthermore, continuous supervision and adherence to governance principles strengthen institutional resilience against financial misconduct. The study implies that strengthening leadership capacity and ethical values among educational leaders is essential for improving financial governance and fostering public confidence in educational management. Professional leadership is therefore a crucial factor in supporting clean, transparent, and sustainable education administration.

This systematic literature study conducts a comparative analysis of Reliability-Centered Maintenance (RCM) and Total Productive Maintenance (TPM) in manufacturing, and proposes an integrated hybrid model. The research concludes that RCM and TPM are fundamentally distinct methodologies: RCM excels in risk-based, analytical management of complex, high-criticality assets, while TPM is superior for achieving broad-based productivity gains and cultural empowerment through total employee involvement. The effectiveness of each approach is contingent upon factors such as asset characteristics, organizational culture, data availability, and level of automation. To leverage their complementary strengths, the study proposes the Synergistic RCM-TPM Hybrid Model (SRTHM). This framework advocates for a sequential implementation where TPM establishes the foundational operational stability, discipline, and data culture, upon which selective RCM analysis is applied to critical assets for precision risk management. The model incorporates explicit feedback mechanisms to create a continuous organizational learning cycle. The study provides a contingency framework for methodology selection and a practical roadmap for integration, offering theoretical and practical guidance for building more resilient and context-appropriate maintenance systems in modern manufacturing.

Human resource management (HRM) plays a crucial role in improving the quality of da’wah programs in mosques. This study aims to analyze the implementation of HRM in managing da’wah programs at Masjid Raya Pematang Siantar, as well as to identify obstacles and solutions to improve the effectiveness of da’wah activities. The research used a qualitative approach with interview, observation, and documentation techniques. Informants consisted of mosque administrators, preachers (da’i), and active congregants. The results showed that HRM in the da’wah programs already has a fairly clear organizational structure, but several aspects still need improvement. The recruitment of preachers is still conducted informally without clear competency standards, and there are no specialized training programs for preachers. Congregational participation also remains fluctuating. Another weakness is the minimal use of technology in disseminating da’wah information, as promotion is still carried out conventionally without optimizing digital platforms. In addition, limited funding and the lack of professional management personnel are major challenges. Solutions that can be implemented include improving preacher recruitment and training systems, utilizing technology in da’wah dissemination, and optimizing financial management through effective fundraising strategies. With better HRM implementation, da’wah programs at Masjid Raya Pematang Siantar are expected to operate more professionally and provide broader positive impacts on society

The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

The implementation of digital health information systems, such as e-Puskesmas, plays an important role in supporting electronic medical records in primary healthcare facilities. However, technical constraints, including network instability and system integration issues, may affect user satisfaction among healthcare workers. This study aims to analyze healthcare workers’ satisfaction in using e-Puskesmas based on the End User Computing Satisfaction (EUCS) method. This research employed a quantitative analytic approach with a cross-sectional design, involving 35 healthcare workers at Puskesmas Klangenan using total sampling. The variables consisted of five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. Data were collected using a structured questionnaire with a Likert scale and analyzed using descriptive statistics and Spearman correlation test. The results showed that user satisfaction was categorized as very satisfied across all EUCS dimensions, with mean scores ranging from 4.11 to 4.47. All EUCS dimensions had a positive and significant relationship with user satisfaction (p < 0.05), with format and ease of use showing the strongest correlations. It can be concluded that the quality of system and information in e-Puskesmas significantly influences healthcare workers’ satisfaction, indicating the need for continuous system development to support optimal healthcare services.

This study aims to analyze the management of Ikhwanul Ikhlas Wisata Travel in Medan in terms of pilgrim recruitment processes, manasik guidance patterns, assistance systems in the Holy Land, as well as indicators and evaluation of customer satisfaction. The background of this study is based on the increasing competition among Umrah travel agencies, which requires professional, transparent, and customer-oriented services to build trust and loyalty. In this context, Ikhwanul Ikhlas Wisata becomes an interesting case due to its consistency in guiding pilgrims from the initial stage to post-return.This research employs a qualitative approach with a descriptive method. Data were collected through in-depth interviews with three key informants representing management, the company director, and marketing personnel. Data analysis was conducted through data reduction, data display, and conclusion drawing to obtain a comprehensive understanding of Umrah travel management practices.The findings reveal that Ikhwanul Ikhlas Wisata implements a recruitment system that emphasizes transparency in package information, costs, facilities, and departure schedules. Manasik guidance is conducted through both theoretical and practical sessions on a regular basis and supported by competent tour leaders and mutawwif. Customer satisfaction is measured through indicators such as repeat participation, recommendations to family or relatives, and post-return testimonials. The evaluation of satisfaction is utilized as a foundation for continuous improvement in recruitment strategies, guidance patterns, and service quality.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

Work discipline is a crucial element in improving employee performance, particularly in the Micro, Small, and Medium Enterprises (MSME) sector such as automotive workshops, which often face managerial and structural challenges. This study aims to explore the understanding, implementation, and influence of work discipline on employee performance at Gandi Jaya Motor Workshop, Jombang, within a local context characterized by religious values and informal work culture. The research employs a descriptive qualitative method with a case study approach. Data were collected through in-depth interviews, observation, and documentation, and were analyzed thematically. The findings reveal that work discipline is perceived as a form of personal responsibility driven by leadership example and religious values, rather than by formal systems alone. External factors such as limited infrastructure and the absence of a structured HR evaluation system also affect performance effectiveness. These findings expand the scope of Work Discipline and Employee Performance theories by incorporating social and cultural dimensions as determinants of work behavior. The study concludes by emphasizing the need for a humanistic approach to HR management in MSMEs and recommends further exploration with broader participant coverage and more diverse methodological approaches.

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from significant energy wastage due to their inability to adapt to real-time environmental changes, leading to high operational costs. Although Proportional-Integral-Derivative (PID) controllers are widely used for their simplicity and reliability, they struggle to handle the complex dynamics of modern environments, requiring advanced optimization to enhance efficiency. This study aims to optimize PID controllers by integrating the Queen Honey Bee Migration (QHBM) algorithm to improve HVAC performance, energy efficiency, and adaptability. The research method employs an experimental approach that compares the performance of conventional PID controllers with PID controllers optimized using the QHBM algorithm under dynamic environmental conditions. The results show that the PID-QHBM system significantly outperforms the conventional PID system, achieving a rise time of 0.2649 seconds and a settling time of 1.6874 seconds with an almost negligible steady-state error of 9.4991e-08. Although it experiences a slight overshoot of 16.3810%, the system stabilizes quickly and maintains the target temperature efficiently. In contrast, the conventional PID controller exhibits slower response characteristics, with a rise time of 1.3730 seconds, a settling time of 2.5144 seconds, and a larger steady-state error of 0.0361. This study demonstrates that integrating the QHBM algorithm into PID controllers provides a more effective solution for real-time temperature control, offering substantial improvements in energy efficiency and system performance. The findings contribute to advancing intelligent HVAC control systems that can better adapt to environmental variations while minimizing operational costs.

This study aims to evaluate the effectiveness of implementing an application-based water payment system as a strategy to reduce consumer arrears. Payment delinquency remains a significant challenge in the management of water utility services, often driven by low payment discipline, limited access to transaction channels, and the inefficiencies of conventional manual systems. Employing a quantitative approach, this research utilizes comparative data collected before and after the implementation of the digital payment application, supported by statistical analysis to measure changes in consumer payment compliance. The findings indicate that the adoption of an application-based payment system has a substantial positive impact on reducing arrears, as reflected in increased payment timeliness and a decline in the number of delinquent consumers. Features such as ease of access, automated notifications, and transparent billing information are proven to enhance consumer compliance behavior. These results underscore that the digitalization of payment systems can serve as an effective solution for improving operational efficiency and supporting the sustainability of water utility services.

Dairi Regency is known as a regency that has a natural charm that can be a potential attraction that can attract many tourists. Puncak Sidiangkat is one of the destinations that is often visited because of its natural beauty which is still very beautiful and green. So this research was conducted with the aim of planning hotels and tourist areas using ecovillage design. Puncak Sidiangkat which has the opportunity to build hotels and glamping along with other tourist facilities, develops knowledge about the advantages of natural resources in Dairi Regency which blends directly with nature in an effort to achieve economic sustainability. The design of hotel and tourist areas is inseparable from how to design buildings that have a positive effect on the surrounding environment, especially the development of mountain tourism infrastructure and facilities as an environmentally friendly and energy-efficient tourism sector. This study also considers local cultural values, community participation, and the use of sustainable materials to ensure long-term environmental balance. Furthermore, the integration of renewable energy systems, proper waste management, and landscape conservation is emphasized to support eco-friendly tourism development. Through this approach, the project is expected to enhance tourist experience while preserving natural resources and improving the local economy.

Digitalization in the healthcare sector is a strategic step to enhance efficiency, accuracy, and service quality. One of the key innovations gaining significant attention is the use of Electronic Medical Records (EMR). Purpose: This study aims to analyze nurse competence, social influence, and usability on actual use electronic medical record with perceived ease of use as intervening variable at Satya Negara Hospital. Methods: The research method used a quantitative approach with a cross-sectional design, involving 108 nurses as respondents selected through a saturated sampling technique. Data were collected using a questionnaire and analyzed using a Structural Equation Model (SEM) based on Partial Least Squares (PLS). Findings: The results indicate that nurse competence, social influence, and usability significantly affect the actual use of EMR. Additionally, perceived ease of use mediates these relationships, enhancing the adoption and utilization of EMR systems. Implications: The managerial implications of this study include the need to enhance nurse competency training, strengthen social support in the workplace, and improve the usability of the Electronic Medical Records (EMR) system to encourage more optimal use. This study also contributes to the development of literature on health information technology implementation by integrating human, social, and technical factors into the analytical model.

This community service activity aims to enhance the understanding of local business actors in Kanekes Village (Baduy Luar) regarding the implementation of a sales information system to support the management and marketing of traditional handicraft products. The main problems faced by partners include unstructured transaction recording, low utilization of sales data, and business management that is still based on memory. The implementation method uses a participatory approach through socialization, training, hands-on practice, and mentoring, with data collection techniques carried out through interviews and field observations. The activity was conducted on April 17, 2026, involving MSME handicraft actors as the main partners. The results show an increase in business actors’ understanding of the importance of sales recording systems as a basis for business management. Participants began to be able to record transactions in a more structured and simple manner and utilize sales data to monitor business performance and identify the most in-demand products. In addition, there was a shift in business management patterns from memory-based to simple data-based systems. This activity also encouraged improvements in digital literacy through the introduction of social media utilization and digital marketing strategies. Overall, this program contributes to strengthening the capacity of business actors and supporting the more effective and sustainable development of traditional product marketing. Keywords: Community Service, Msmes, Sales Information System, Baduy Luar, Digital Marketing

This community service activity aimed to improve farmers’ knowledge and skills in implementing selection strategies and simple recording systems for local goats to support increased livestock productivity. The activity was conducted at the Sumber Tani Baru Livestock Farmer Group, Poasia District, Kendari City, targeting local goat farmers. The method used was a participatory approach, including observation, counseling, training, demonstrations, and mentoring. The results showed an improvement in farmers’ knowledge and skills in selecting superior does and bucks, as well as in recording livestock data. Farmers were able to identify superior animals based on specific criteria and began to implement simple recording systems to monitor livestock performance. In addition, farmer participation was relatively high, as indicated by active involvement in discussions and field practices. This activity proved effective in enhancing farmers’ capacity and has the potential to support sustainable improvement in local goat productivity.

This community service activity aims to improve the competency of Regional Apparatus Work Unit (SKPD) personnel in preparing monthly, quarterly, and semi-annual financial statements in accordance with Government Accounting Standards (SAP). This activity uses a participatory approach through Focus Group Discussions (FGD) involving 95 participants consisting of Financial Administration Officers and expenditure treasurers from various SKPDs in the Semarang City Government. The evaluation indicators included participant participation, improvement of understanding, identification of reporting problems, and formulation of follow-up actions. The finding, based on the results of the post-test, an average of 80% of participants showed improvement, particularly in account classification, transaction recording, and periodic report preparation. The FGD identified four major issues: limited mastery of financial information systems, data input errors, insufficient competent human resources, and weak inter-unit coordination causing delays in report submission. As post-FGD outcomes, participants agreed on the need for continuous technical training, standardized operating procedures, optimization of information system integration, and the establishment of a reporting coordination forum. These results provide evidence that FGD was effective not only in evaluating participants’ competencies but also in generating practical solutions to enhance transparent and accountable regional financial governance.

This study examines the absence of clear time limits in civil procedural law and its impact on the effectiveness of the principle of simple, fast, and low-cost justice in Indonesia. Normatively, this principle serves as a fundamental guideline in ensuring efficient and accessible dispute resolution. However, in practice, civil proceedings often take a prolonged and complex course, leading to increased costs and legal uncertainty. This research aims to analyze whether the principle has real normative force and how the lack of time constraints in each stage of civil litigation contributes to procedural delays. The study employs a normative legal research method using statutory and conceptual approaches, supported by secondary legal materials. The findings indicate that the absence of strict and binding time limits allows procedural flexibility to be misused, resulting in repeated delays, inefficiency, and case accumulation. Consequently, the principle of simple, fast, and low-cost justice tends to remain declarative rather than operational. The study concludes that the effectiveness of this principle is significantly weakened by the lack of time regulation and suggests the need for reform through time-bound case management, stricter procedural control, and the integration of digital judicial systems to enhance efficiency and legal certainty.

Climate change has encouraged corporations to establish carbon emission reduction targets as part of their sustainability strategies. However, achieving these targets depends not only on technological innovation and operational policies but also on an organization's ability to integrate decarbonization agendas into human resource management systems. This study aims to analyze the strategic role of Human Resource Directors in integrating corporate carbon emission reduction targets into employee performance management systems and leadership Key Performance Indicators (KPIs). This research employs a qualitative approach using a systematic literature review by examining various relevant scientific publications related to Strategic Human Resource Management, Green Human Resource Management, and performance management within the context of organizational sustainability. The analysis process was conducted through systematic literature selection, mapping of previous research findings, and thematic synthesis of concepts and relationship patterns identified in the literature. The findings indicate that the integration of carbon emission targets into organizational performance management systems can be implemented through sustainability-based leadership KPIs, the application of Green HRM practices, and the alignment of employee evaluation and incentive systems with corporate decarbonization objectives. This study contributes to expanding the understanding of decarbonizing leadership by positioning HR Directors as strategic actors who connect corporate sustainability policies with organizational performance management practices, thereby encouraging organizational behavioral transformation toward more sustainable business practices.

This study aims to analyze the implementation of Good Governance principles—transparency, accountability, participation, effectiveness, efficiency, rule of law, and inclusivity—in public administration services at the Sungai Tabukan Sub-district Office, especially in the Service, Economy, and Social Welfare Section. The method used is a qualitative approach with a case study design through observation, in-depth interviews, and documentation of sub-district officials and service user communities. The data was analyzed through reduction, presentation, and conclusion drawn, and tested for validity by triangulation and member check techniques. The results of the study show that procedural transparency, compliance with SOPs, and administrative accountability mechanisms have been running relatively well, so that services such as SKKM, marriage recommendations, and population documents can be processed openly and can be traced. However, the limitations of human resources, facilities, and digital infrastructure cause the effectiveness and efficiency of services to still be conditional and depend on key actors. Community participation has been facilitated through forums and feedback channels, but it is still dominated by village intermediaries so that the direct involvement of residents is not optimal. In terms of the rule of law and inclusivity, services have been based on regulations and are non-discriminatory, although there are still inequality in access and speed of services between regions. The main supporting factors include leadership commitment, internal work culture, and the existence of SOPs, while inhibiting factors include limited human resources, facilities, and information systems that have not been integrated. It was concluded that the implementation of Good Governance in public administration services in Sungai Tabukan District has been running functionally, but has not been fully consolidated systemically. Therefore, it is necessary to strengthen policies through the digitization of services, increase the capacity of the apparatus, improve facilities, integrate data-based accountability and transparency systems, and expand citizen participation channels to realize more professional, fair, and sustainable public administration service.

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.