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This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

SR12 Herbal Cosmetics is a company engaged in the field of herbal and skin care. Founded in 2015 byToni Firmansyah, S. Farm., Apt. and Asrianty Salam, Farm. This company has a vision to provide benefits to many people through the herbal and skin care products they produce. SR12 Herbal Cosmetics products are formulated based on research from certified scientists, and have been tested at the Sucofindo Laboratory, are free of mercury and hydroquinone, and have been registered with the Indonesian Food and Drug Supervisory Agency (BPOM RI). SR12 Herbal Cosmetics has several factories in West Java Province and has an extensive distribution network with hundreds of distributors and tens of thousands of partners throughout Indonesia. The goal to be achieved is to produce a management information system model including a management information system for PT SR12 Herbal Cosmetics. The research object chosen is a company in the field of cosmetics and skin care which has its head office in Gunung Sindur, West Java. This selection aims to form a management information system design model that is able to produce relevant and timely information for planning, controlling, decision making and evaluating the performance of activities. For the Web-Based Instagram Content Management Information System Design project to Support SR12 Herbal Cosmetics' Brand Awareness, I used Agile (Scrum) due to the dynamic nature of digital marketing and potential changes to the Instagram API or business needs. This allowed SR12 to get core functionality faster and provide iterative feedback, ensuring the system built was truly relevant to their brand awareness needs.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

The internationalization of micro, small, and medium-sized enterprises (MSMEs) has become a strategic issue in addressing global economic dynamics, particularly within the framework of the Global Value Chain (GVC) in the digital age. Although Indonesian MSMEs have great potential to support the national economy, their level of involvement in the global value chain remains relatively limited. This study aims to analyze the challenges and strategies for the internationalization of Indonesian MSMEs within the GVC in the digital age. The study employs a qualitative approach using a case study design, along with thematic analysis and value chain analysis techniques. The findings indicate that MSMEs are already involved in the GVC across various stages of the value chain—from raw material processing to global distribution—yet they continue to face numerous challenges, such as technological limitations, human resource competencies, production capacity, and international distribution networks. On the other hand, digitalization has proven to be a key factor in expanding access to global markets through the use of digital platforms. An effective internationalization strategy requires the integration of product innovation based on local resources, the utilization of digital technology, and the strengthening of global business networks. This study contributes to integrating the perspectives of GVCs, digitalization, and SME internationalization strategies into a comprehensive analytical framework, and provides practical implications for SME actors and policymakers in enhancing competitiveness in the global market

This study aims to analyze public relations strategies in the implementation of the Mental Revolution Program through Instagram at the Coordinating Ministry for Human Development and Cultural Affairs of the Republic of Indonesia. The Mental Revolution represents an effort to transform public mindsets, attitudes, and behaviors based on the values of integrity, work ethic, and mutual cooperation in order to build a progressive and competitive nation. This research employs a descriptive qualitative approach with a case study method. Data were collected through observation, in-depth interviews, documentation, and triangulation to ensure comprehensive findings. The results indicate that the implemented public relations strategies have optimally utilized social media as a means of public communication, particularly in reaching younger audiences. These strategies include the development of positive content, cross-sector collaboration, and the use of media relations to expand information dissemination. The SWOT analysis reveals that the main strengths lie in effective team coordination, structured communication strategies, and a strong organizational culture, while weaknesses include limited human resources and insufficient technological support. Opportunities arise from extensive networks with various institutions and media, whereas threats stem from public perceptions and limited communication competencies. In practice, the Mental Revolution Program is implemented participatively through various initiatives such as Indonesia Serving, Clean, Orderly, Independent, and United, which are disseminated via Instagram. However, its implementation has not been evenly distributed across regions and has only reached approximately 70%, due to budget constraints and varying levels of commitment among local governments. Therefore, the success of this program largely depends on synergy among stakeholders and consistency in internalizing transformative values within society.

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

The objective of this study is to develop a theoretical framework that can be used to identify the key resources and capabilities involved in the globalization process. This case study aims to examine how export-oriented small businesses in Indonesia achieve success at the international level. To obtain qualitative data, in-depth interviews were conducted with the Makmur Susanti Group, an MSME in Tulungagung, East Java. This study, based on the Resource-Based View (RBV), demonstrates how dynamic capabilities in production, networking, marketing, learning, legal, and synergistic areas contribute to the formation of competitive advantages that support business sustainability and continuity. The study indicates that success in internationalization requires a combination of capabilities that can meet market needs, rather than a single capability. This study contributes to the literature by offering a comprehensive framework of the internationalization process and providing practical insights for policymakers and practitioners aiming to enhance the competitiveness of SMEs. The research findings underscore the importance of capability development and government support in facilitating the global expansion of SMEs. Ultimately, this study provides a foundation for further investigation into the dynamic capabilities required for SMEs to thrive in international markets.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

Based on the analysis, (1) the support aspect has been implemented effectively, as evidenced by strong leadership commitment, policy support, the availability of facilities and infrastructure, adequate budget allocation, and solid inter-agency coordination, although technical constraints such as network disruptions remain. Further, (2) the capacity aspect is categorized as relatively adequate, reflected in the readiness of human resources, the availability of technological infrastructure, clear standard operating procedures, and the implementation of training programs, despite the need for further enhancement of technical competencies and network quality. Lastly, (3) the value aspect demonstrates highly positive outcomes, as the Warkop Samsat program provides significant benefits, including improved service quality, time and cost efficiency, service convenience, increased user satisfaction, and enhanced public compliance with motor vehicle tax payments In conclusion, public service innovation through the Warkop Samsat program in Gorontalo City has been effectively implemented, generating positive impacts for the community. However, further strengthening of technical aspects and capacity development is required to ensure the program's sustainability.

This study explores how the integrated Resource-Based View (iRBV) and Dynamic Capabilities (DC) explain the early stage of SME internationalization in Indonesia. An exploratory single-case study design is employed on a koi-breeding SME that has engaged in export activities, using a Likert-scale questionnaire to identify VRIN resources, dynamic capabilities, export performance, and internationalization barriers. The findings indicate that the SME possesses relatively strong export market knowledge, network competence, and quality reputation, but remains weak in global certifications, administrative support, and logistical capacity. From a DC perspective, sensing and seizing capabilities are already developed, whereas transforming capability is still limited in terms of reconfiguring the business model, strengthening human resources, and institutionalizing export routines. Overall, the results underscore that the success of SME internationalization is determined not only by the ownership of internal resources, but also by the firm’s ability to reconfigure those resources in the presence of environmental and institutional constraint.

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 internationalization strategy of SMEs through the integration of SWOT and PESTEL analysis, using a case study of PT Mujnah Kemiri Lombok. SMEs play an important role in the national economy; however, in the process of expanding into international markets, they face various challenges from both internal and external factors that need to be comprehensively identified. Therefore, a strategic analysis is required to understand the factors influencing the success of internationalization. This study employs a qualitative approach with a case study method. Data were collected through in-depth interviews, observations, and documentation related to the export activities of PT Mujnah Kemiri Lombok. Data analysis was conducted by identifying internal factors using SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) and external factors using PESTEL analysis (Political, Economic, Social, Technological, Environmental, and Legal). The results show that the internationalization process of PT Mujnah Kemiri Lombok occurs gradually, starting from the domestic market and expanding into export markets through technological transformation and network expansion. The company’s main strengths lie in its supply chain network, business experience, and adoption of production technology, while its main weakness is the adaptation of human resources to technological changes. From an external perspective, government support acts as a key driving factor, while global price competition and logistics costs remain major challenges. This study is expected to provide both theoretical and practical contributions, particularly for SMEs in formulating appropriate internationalization strategies and enhancing competitiveness in the global market.

Indonesian fashion SMEs have significant export opportunities, but their export performance remains suboptimal as not all businesses are able to convert innovation, digitalisation, and market orientation into tangible international competitiveness. This study aims to analyse the determinants of Indonesian fashion SMEs’ export performance from the perspectives of the Resource-Based View and Internationalisation Theory. The study employs an explanatory quantitative approach using a cross-sectional survey design involving 200 owners or key managers of fashion SMEs in East Java, selected through purposive sampling. Data were analysed using SEM-PLS. Simulation results indicate that internal capabilities, international market orientation, and access to international networks have a positive influence on competitive advantage, whilst competitive advantage has a positive influence on export performance. Internal capabilities and access to international networks also demonstrate a significant direct influence on export performance, whilst international market orientation is not directly significant but operates through competitive advantage. The implication is that strategies to boost fashion SME exports should focus on strengthening innovation, quality, brand differentiation, and international market networks, rather than merely on symbolic digital adoption.  

The proliferation of online gambling promotional comments on Indonesian social media has become a serious issue requiring fast and accurate automated handling. This study aims to implement a Hybrid Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) method to classify online gambling comments and compare its performance with standalone RNN and LSTM models. The research utilized a dataset of 10,230 comments subjected to comprehensive preprocessing stages, including the normalization of non-standard language using a slang dictionary. Testing was conducted across three data-splitting scenarios: 90:10, 80:20, and 70:30. Experimental results demonstrate that the standalone LSTM model achieved the highest average accuracy of 97.45%. However, the Hybrid RNN–LSTM model showed significant superiority in terms of performance stability, yielding the lowest standard deviation (0.0027) and the smallest Coefficient of Variation (0.28%) across all scenarios. These findings indicate that while the LSTM architecture is highly effective at capturing short-text context, the Hybrid approach provides better robustness against fluctuations in data proportions, making it highly relevant for implementation as an automated detection system on social media.

Increasingly digitalised and globally integrated market competition demands that micro, small and medium-sized enterprises (MSMEs) no longer merely excel in local markets, but are also capable of building sustainable competitiveness in broader markets. Recent literature indicates that innovation, digital capabilities, and international networks are increasingly viewed as strategic determinants of MSME competitiveness, although the relationships between these variables are often examined in isolation and are not always consistent. This study aims to analyse the influence of innovation, digital capabilities, and international networks on the global competitiveness of MSMEs. The research employs an explanatory quantitative approach with a cross-sectional design. The sample consists of 200 owners or principal managers of SMEs in East Java, selected using purposive sampling. Data were collected via a structured questionnaire and analysed using Structural Equation Modelling–Partial Least Squares (SEM-PLS). The results of the analysis indicate that innovation, digital capabilities, and international networks have a positive and significant influence on the global competitiveness of SMEs. The path coefficient values indicate that digital capabilities are the strongest predictor, followed by international networks and innovation. These findings confirm that strengthening the global competitiveness of MSMEs requires an integrated strategy that links value renewal, digital transformation, and the sustainable development of external networks.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Public service plays a fundamental role in fulfilling citizens’ rights and needs within modern governance systems. The increasing complexity of social, economic, and technological changes has encouraged the transformation of public administration paradigms. This study aims to analyze the evolution of public service paradigms from Old Public Administration to Network Governance, identify the key characteristics of each paradigm, and explain the shift in values and the role of the state in public service delivery. This research employs a qualitative approach using a literature review method by examining various academic sources related to public administration theories and public service governance. The analysis was conducted through content analysis and comparative analysis to identify conceptual developments and paradigm differences in public administration. The results indicate that public service paradigms have evolved from hierarchical and rule-based governance toward more collaborative and participatory governance models. Old Public Administration emphasizes bureaucratic hierarchy and administrative control, New Public Management focuses on efficiency and performance-based management, while New Public Service highlights citizen participation and democratic values. The most recent paradigm, Network Governance, promotes collaboration among government, private sector, and civil society in addressing complex public issues. These findings suggest that contemporary public administration increasingly adopts a hybrid governance approach that integrates elements of various paradigms to enhance the effectiveness and responsiveness of public service delivery.