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This study examines the implementation of Good Governance principles in passport and residence permit services at Ngurah Rai Immigration Office, Bali. Employing a qualitative case study approach, the research evaluates how digital transformation enhances transparency, accountability, efficiency, participation, and the rule of law in immigration services. Findings demonstrate that digital systems such as the M-Paspor application and the Integrated Residence Permit System have improved procedural transparency, reduced illegal levies, and strengthened public trust. Efficiency has increased through automation, which reduces processing times and human errors. Digital audit trails reinforce accountability by ensuring decisions are traceable and regulation-based. However, challenges exist in substantive accountability and responsiveness. Decision-making in non-standard cases lacks transparency, with limited explanation of the legal bases. Response times through formal channels such as hotlines often exceed standards due to lengthy cross-divisional coordination. Whilst digitalisation has brought significant improvements, further reforms are necessary to strengthen substantive accountability and responsiveness, thereby enhancing public trust and institutional legitimacy in accordance with good governance standards. Continuous improvements in integrated digital systems, staff training, and process streamlining remain essential for full compliance.

Digital transformation through adoption cloud technology has become catalyst in effort efficiency energy and reduction greenhouse gas emissions glass (GHG). Research This aim for analyze contribution cloud technology against efficiency operational and impact the environment in framework economy green. With use approach studies literature and secondary data analysis from report institution international and journals scientific, research This find that migration to cloud computing can reduce consumption energy up to 84% and emissions carbon up to 88% compared to with traditional IT infrastructure. These results show that cloud computing is not only solution technology, but also important strategy in support development sustainable.

The manual archiving process within the Gresik Education Office continues to encounter significant challenges, including difficulties in correspondence tracking, document misplacement, and inefficiencies in disposition management. To address these issues, this study proposes the design and implementation of a Web-Based Archiving and Correspondence Monitoring System developed using the Waterfall methodology. The system aims to facilitate the digital transformation of administrative correspondence through three primary pillars: secure user authentication, flexible digital workflows, and compliance with electronic archival standards. Core features include centralized document management, automated disposition processes, electronic signature verification, and real-time notification integration via WhatsApp. Implementation results demonstrate that the proposed system enhances efficiency, traceability, and accountability in correspondence management at the Gresik Education Office.

Artificial intelligence (AI) is currently a rapidly developing technology in all fields, particularly in finance and the military. This study aims to examine the application of Artificial Intelligence (AI) technology to support financial report analysis and internal control within Indonesian Navy (TNI AL) work units. Along with the development of information technology, AI has the potential to provide innovative solutions to improve efficiency, accuracy, and transparency in state financial management, particularly in a military environment that demands high accountability. The research method used was descriptive qualitative with a case study approach in several work units within the Indonesian Navy. Data were obtained through interviews, observations, and a review of relevant documents and literature. The results indicate that the use of AI, such as machine learning and data analytics, can identify unusual financial transaction patterns, predict potential irregularities, and improve the effectiveness of internal oversight. However, the implementation of this technology still faces challenges, such as limited digital infrastructure, the need for human resource training, and the need for policies that support sustainable digital transformation. This study recommends the gradual and strategic integration of AI as part of the reform of the Indonesian Navy's financial management system.

This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

The development of e-commerce and social commerce has driven significant changes in student shopping behaviour, including at FEB UNDARIS. Ease of access, digital promotions, and the influence of social media have led students to shop online more frequently, even impulsively. This study aims to analyse how attitudes, subjective norms, and perceived behavioural control interact in shaping students' online shopping behaviour using the Theory of Planned Behaviour (TPB) framework. This study uses a descriptive qualitative method with in-depth interviews with ten students who actively shop online. The data were analysed to understand the experiences, perceptions, and social factors that influence their decisions in digital transactions. The results show that positive attitudes towards efficiency and promotions, social pressure from friends and influencers, and high perceived behavioural control due to technological convenience work simultaneously to reinforce online shopping intentions and actions. These three TPB components support each other and trigger increasingly impulsive consumption patterns in the digital environment.

This study provides a comprehensive analysis of the performance of the Travel Document Section at Tanjung Perak Immigration Office within the framework of Public Administration. Employing a qualitative, case-study approach, the research investigates the efficiency, effectiveness, and quality of immigration services, emphasising the application of New Public Management (NPM) principles and Good Governance practices. The findings reveal that while technological innovations such as digital systems (M-Passport and SIMKIM) have successfully improved operational efficiency and reduced physical queues, challenges persist regarding procedural transparency, accountability, and system reliability. Human errors and inconsistent discretion in handling complex documents highlight the need for enhanced capacity building and resource allocation. Moreover, issues of bureaucratic transparency and integrity undermine public trust, underscoring the importance of strengthening internal controls and communication strategies. The study also underscores that service quality is multidimensional, encompassing physical facilities, interpersonal professionalism, and procedural clarity, all of which influence public satisfaction. Despite improvements, the gap between technological efficiency and service effectiveness suggests that further efforts are needed to integrate digital innovations with robust procedural protocols. The research concludes that sustainable performance improvement requires a balanced focus on technological, human, and systemic factors, fostering a culture of transparency, accountability, and continuous development. These insights offer valuable policy recommendations to enhance the robustness and responsiveness of immigration services, ultimately strengthening the legitimacy and trust of government institutions in delivering public services.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

This research aims to analyse the implementation of digital innovation in passport services at the Class I Immigration Office Tanjung Perak as part of bureaucratic reform and Good Governance initiatives. The study employed a qualitative case study approach, involving in-depth interviews, participatory observation, and document analysis, to assess the successes and challenges of digital systems such as SIMKIM and M-Paspor. The findings reveal that digital innovation has successfully improved operational efficiency and generally provided transparency into costs and application status, whilst reducing queuing times and increasing service speed, thereby enhancing public satisfaction and trust in immigration services. However, the innovation has not fully addressed structural and cultural bureaucratic barriers, as field officers tend to become passive when systems experience errors or delays, struggling to provide detailed explanations about issues, which results in information ambiguity and potentially undermines procedural transparency and performance accountability principles. The study concludes that bureaucratic reform in the immigration sector requires internal cultural updates and enhanced human resource competencies to support comprehensive transparency and accountability. Digital infrastructure instability and officers' discretionary authority significantly influence the effectiveness of digital innovation. Whilst digital innovation offers substantial benefits in efficiency and transparency, its success depends heavily on strengthening systems, improving human resource skills, and fostering organisational cultural change, with continuous efforts essential for achieving effective, transparent, and accountable public service.

This study aims to examine the implementation of bureaucratic reform at the Immigration Document Section of Ngurah Rai Immigration Office, focusing on digital transformation through the M-Paspor application to realise a dynamic immigration management system. The research employed qualitative analysis to evaluate service efficiency, transparency, accountability, and staff capacity in the context of digital innovation aligned with Dynamic Governance principles. The findings reveal that digitalisation has significantly enhanced service efficiency through automated procedures, reduced physical queues, and improved transparency, whilst facilitating a shift from manual tasks to core verification and problem-solving activities, though challenges persist regarding human resources capacity and organisational culture, as staff exhibit rule-bound mindsets and defensive communication styles when addressing service delays, thereby undermining public trust and satisfaction. The study concludes that technology alone is insufficient to achieve truly responsive and citizen-centric services, as institutional culture and personnel mindset require continuous strengthening through soft skills training, ethical enforcement, and cultivation of service-oriented, empathetic work culture. Holistic reform approaches that combine technological innovation with human resource development and cultural change are essential for building effective, adaptive, and transparent immigration management systems. The integration of digital systems complemented by professional human resources can foster seamless, efficient, and trustworthy immigration services aligned with good governance principles, whilst sustainable improvements depend on balancing technological advances with organisational culture development and staff professionalism.

This study conceptually examines a self-supervised multi-scale fusion framework designed to enhance accuracy and computational efficiency in medical image segmentation, a domain where data scarcity and annotation cost remain major challenges. Traditional supervised approaches are constrained by their reliance on extensive labeled datasets, limiting applicability in real-world clinical environments. Self-supervised learning (SSL) mitigates this issue by extracting supervisory signals directly from unlabeled data, enabling the model to learn rich feature representations without human annotation. Simultaneously, multi-scale fusion architectures integrate global contextual information with fine-grained local features, supporting robust segmentation across varying anatomical structures and image resolutions. Through a qualitative methodology involving library research and content analysis, this study synthesizes state-of-the-art SSL-driven segmentation techniques and highlights how adaptive multi-scale fusion mechanisms address limitations of existing convolutional and transformer-based architectures. The analysis indicates that combining SSL and multi-scale strategies leads to more generalizable, scalable, and computationally efficient segmentation pipelines suitable for diverse medical imaging modalities. The proposed framework represents a promising direction for developing next-generation diagnostic tools capable of handling sparse labels, complex textures, and real-time deployment constraints.

This research investigates the Peak Particle Velocity (PPV) resulting from blasting operations at Pit Pinang, PT Bukit Baiduri Energi, employing two prediction approaches: Non-Linear Geometric Regression and the USBM Oriard’s Formula. Ground vibration measurements were recorded over a one-month period, from October 9 to November 8, 2025. The findings indicate that the non-linear regression model achieves a higher predictive accuracy of 78.62%, outperforming the USBM Oriard’s Formula, which reaches 68.2%. Variations between the observed and estimated PPV values were affected by factors such as the location of geophones, differences in explosive charges, and alterations in borehole depths. In addition, the study evaluates optimal explosive charge recommendations in accordance with SNI 7571:2010 standards to mitigate potential structural damage in surrounding areas. By highlighting these predictive discrepancies and providing practical guidance on charge management, the research offers valuable insights for improving blasting safety and minimizing vibration impacts on nearby infrastructure. The comparison of methods emphasizes the importance of selecting appropriate prediction models to ensure both operational efficiency and environmental safety.

This study aims to explore the implementation of Standard Operating Procedures for immigration services at TPI Tanjung Priok Port and examine its impact on service effectiveness in Indonesia's maritime sector. The research employed a qualitative approach to analyse the gap between formal SOP guidelines and on-the-ground practices, examining internal and external factors, including resource limitations, technological constraints, and inter-agency coordination issues. The findings reveal significant disparities that lead to both positive and negative discretion amongst frontline Immigration officers, influencing service consistency, efficiency, and transparency. Negative discretion results in procedural deviations that compromise reliability and potentially foster corruption, delays, and inefficiencies. In contrast, positive discretion emerges as adaptive responses indicating weaknesses in SOP design or infrastructure. The study concludes that enhancing frontline officers' competence, motivation, and accountability is essential for achieving desired outcomes, whilst integrating technological solutions such as digital documentation and real-time monitoring is vital for streamlined, transparent, and accountable procedures. Improving SOP adherence, coupled with better resource allocation and inter-institutional cooperation, can significantly reduce vessel turnaround times, lower logistics costs, and bolster maritime competitiveness. The research advocates for dedicated training programmes, supervisory systems, and technological innovations to ensure SOP compliance, minimise discretion-driven deviations, and promote accountability, thereby optimising maritime service delivery and supporting Indonesia's strategic maritime development objectives.

The administration of population services in Rumbai Timur District continues to face challenges following the regional expansion that required residents to update their civil documents. The SIPENDUDUK website was introduced to simplify digital submissions; however, its implementation has not been fully effective. A portion of the community, particularly older adults and individuals with low digital literacy, still struggles to navigate service flows and upload required documents. This study aims to evaluate the service quality of the SIPENDUDUK website in improving the effectiveness of civil administration services. A descriptive qualitative method was employed through observations and interviews with officers and service users. The findings indicate that although the website has facilitated administrative processes, its accessibility has not yet reached all user groups due to varying technological capabilities. The system shows adequate efficiency and stability, although several technical issues remain. Service security is maintained through controlled access and a simplified interface. User support is provided through direct assistance from the local office, including manual guidance and mobile outreach services. These results highlight that the success of digital services depends not only on system quality but also on user readiness. This evaluation is expected to contribute to improving the effectiveness, inclusiveness, and overall quality of population administration services in Rumbai Timur District.

Household waste management is a significant challenge in creating clean, healthy, and sustainable residential areas. Dependence on manual monitoring methods often leads to delays in waste collection, waste pile-ups, and operational inefficiencies. This community service program implements a Smart Trash Monitoring Sistem (STMS) based on the Internet of Things (IoT) in Graha Panyindangan Estate, Indramayu. The system utilizes ultrasonic sensors and ESP32 to detect waste levels and sends real-time data to a dashboard accessible by residents and cleaning staff. The results of implementing STMS show improved efficiency in waste management, with waste collection being carried out on time based on accurate, real-time data. This system also reduces the need for manual inspections and encourages responsible waste management behavior among residents. In addition to technical benefits, there have been social changes, such as increased environmental awareness and the formation of new social norms within the community. The involvement of local leaders in supporting the system’s sustainability further strengthens the implementation of the smart living concept, resulting in a cleaner, healthier, and more sustainable residential environment in the long term.

Household waste management is a significant challenge in creating clean, healthy, and sustainable residential areas. Dependence on manual monitoring methods often leads to delays in waste collection, waste pile-ups, and operational inefficiencies. This community service program implements a Smart Trash Monitoring Sistem (STMS) based on the Internet of Things (IoT) in Graha Panyindangan Estate, Indramayu. The system utilizes ultrasonic sensors and ESP32 to detect waste levels and sends real-time data to a dashboard accessible by residents and cleaning staff. The results of implementing STMS show improved efficiency in waste management, with waste collection being carried out on time based on accurate, real-time data. This system also reduces the need for manual inspections and encourages responsible waste management behavior among residents. In addition to technical benefits, there have been social changes, such as increased environmental awareness and the formation of new social norms within the community. The involvement of local leaders in supporting the system’s sustainability further strengthens the implementation of the smart living concept, resulting in a cleaner, healthier, and more sustainable residential environment in the long term.

The primary purpose of this activity is to enhance the capabilities of micro, small, and medium enterprises (UMKM) in managing wet cake production in a more hygienic and efficient way in order to generate products with higher market value. The skill development emphasizes technical improvements in the production process by prioritizing cleanliness, food safety, and consistent quality, as well as increasing efficiency in the utilization of raw materials and labor. This activity was implemented for UMKM operating under Dynala Food in Gentengan Hamlet, Padang Village, Singojuruh District, Banyuwangi. In addition to production aspects, the program also aims to strengthen marketing strategies at both local and digital levels, enabling tofu and wet cake products to be more easily accessed by consumers. The implementation was conducted through door-to-door visits and direct field observations. The program stages included socialization, hands-on training, technology application, mentoring, evaluation, and achievement of program objectives. Focus Group Discussions (FGDs) were conducted to identify challenges, formulate concrete action plans, and support the adoption of technology and digitalization in business development.

This study examines the implementation of digital health services via the Mobile JKN application at the Payung Sekaki Community Health Center in Pekanbaru City and explores factors affecting service effectiveness, especially complaints about long waiting times. Using a descriptive qualitative approach based on the Mobile Health Acceptance Model by Handayani et al. (2021), the study focuses on five constructs: ease of use, system availability, system responsiveness, health workers’ digital skills, and user trust. The results show that Mobile JKN has significantly simplified administrative processes, accelerated registration, and improved service efficiency at the health center. Effectiveness is supported by factors such as the application’s general ease of use, faster queue data processing, and adequate digital skills among staff. Users also show a high level of trust, though queue time estimation still needs improvement. Despite these benefits, complaints about long waits persist due to patients who register online but still queue manually and misunderstandings between Mobile JKN and e-Puskesmas queue numbers. Late patient arrivals also contribute to delays. Overall, Mobile JKN proves effective in enhancing digital health services, but further optimization is needed through better socialization of service procedures, accurate queue information, and improved system integration to maximize the advantages of digitalization.

This study aims to analyze the effect of using the Quick Response Code Indonesian Standard (QRIS) on improving financial inclusion among Micro, Small, and Medium Enterprises (MSMEs) in North Toraja Regency. The research is motivated by the rapid development of digital payment systems, which have not been optimally adopted by MSMEs in tourism areas. QRIS, as a non-cash payment innovation, is expected to expand access tofinancial services, enhance transaction efficiency, and encourage MSMEs’ participation in the formal financial system. This study employs a quantitative approach using a survey method involving 35 handicraft MSMEs in the Ke’te Kesu’ tourism area, selected through a saturated sampling technique. Data were collected using a five-point Likert scale questionnaire and analyzed with SPSS version 25 through validity and reliability tests, descriptive analysis, classical assumption tests, and simple linear regression. The results indicate that QRIS usage has a positive and significant effect on financial inclusion, with a correlation coefficient (R) of 0.758 and a coefficient of determination (R²) of 0.575. The t-test shows a significance value of < 0.05. These findings support the Financial Deepening theory and the financial inclusion concept, which emphasize access, affordability, and usage of financial services. Thus, QRIS serves as an important instrument in promoting digital transformation and enhancing financial inclusion among MSMEs in North Toraja Regency.

Household waste management remains a critical challenge in creating clean and sustainable residential environments. Manual monitoring methods often lead to delayed waste collection, overflowing bins, and operational inefficiency. This community engagement program implements an Internet of Things (IoT)-based Smart Trash Monitoring SIstem (STMS) at Graha Panyindangan Estate, Indramayu. The sIstem utilizes ultrasonic sensors and ESP32 microcontrollers to detect the fill level of household waste containers and transmit data in real time to a user-accessible dashboard. The results demonstrate that the STMS provides accurate waste-level information, reduces manual inspections, enhances collection efficiency, and fosters data-driven behavior among residents. Social changes also emerged, including improved environmental awareness, new social norms, and the emergence of local leaders supporting sIstem sustainability. This program contributes to the realization of smart living in modern residential communities, ensuring better waste management, cleaner environments, and more sustainable practices for future generations. It also provides valuable insights into the role of technology in addressing environmental issues at the community level.