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Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

Amidst rising global pressure regarding sustainability and cross-border trade, customs agencies are no longer viewed merely as gatekeepers but as strategic actors in global environmental governance through the Green Customs Initiative (GCI). This research aims to uncover the evolutionary patterns of GCI research within the context of adaptive policy, map its intellectual structure, and identify future thematic directions. The methodology employs a bibliometric analysis of documents sourced from the Web of Science database, utilizing VOSviewer software to perform co-authorship, bibliographic coupling, and co-word analysis.The results demonstrate that the dominance of scientific actors in this field is determined more by the strength of collaboration networks than by the mere volume of publications. The findings identify that the primary intellectual foundations of GCI research rest upon the critical relationship between environmental regulation, international trade, market responses, and eco-innovation. Furthermore, country-level analysis highlights the central roles of China, the United States, and the United Kingdom in shaping the knowledge structure of this domain. Overall, these findings underscore that the GCI has evolved into a multidisciplinary field that requires an adaptive policy framework to respond to the dynamics of ecological risks and global trade demands through institutional flexibility and cross-actor collaboration. By integrating environmental protection into border management and risk assessment, this study provides a strategic reference for customs authorities to move toward a more responsive and knowledge-based green customs administration.

Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

Librarians, as information specialists, play a vital role in managing and providing access to digital libraries. Despite the availability of digital information through repositories and digital libraries, a gap remains between users and their effective utilization. This underscores the importance of librarians in facilitating access and supporting users. This study analyzes the role, competencies, and challenges faced by librarians at the UPA Library of the University of Bengkulu in the digital knowledge ecosystem. A qualitative descriptive approach was used, with data collected through semi-structured interviews with four librarians and two users, direct observation, and documentation. Data were analyzed using data reduction, presentation, and conclusion drawing. The findings show that librarians act as information specialists by providing access through the OPAC system, repositories, digital libraries, e-journals, Springer Digital References, Instagram, and the library website. They evaluate and ensure credible digital information sources, preserve and back up collections, and assist users in information searches. However, librarians face challenges such as budget constraints, low user awareness, limited human resources, network issues, restricted access, and inadequate collections. These findings contribute to understanding the role of librarians as information specialists.

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.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

Cervical cancer is one of the most common cancers worldwide and is largely caused by Human Papillomavirus (HPV) infection, particularly types 16 and 18. The development of this cancer is influenced by the E6 and E7 oncoproteins, which disrupt the function of p53 and Rb proteins, as well as the involvement of cellular signaling pathways such as PI3K/AKT/mTOR and EGFR. Limitations of conventional therapies, such as resistance and side effects, drive the need for more targeted and selective therapeutic agents. This study aims to analyze the main molecular targets of cervical cancer and the medicinal chemistry approaches used in its therapeutic development. The method involved a review of 12 open access articles using molecular docking, molecular dynamics, QSAR, and network pharmacology approaches. The findings identified two main target groups: viral targets comprising the HPV E6 and E7 oncoproteins, and cellular targets including the PI3K/AKT/mTOR pathway, EGFR, PARP1, CDK1, and VEGFR. Various medicinal chemistry strategies, from structure-based and ligand-based drug design to multi-target network pharmacology approaches, proved effective in identifying potential inhibitor candidates. Bioactive compounds such as quercetin, gossypol, bixin, and rutin demonstrated stable interactions with these targets. However, further experimental validation is needed to support the development of clinically effective and safe therapies.

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.

Islamization in Sambas, West Kalimantan, represents a historical and evolving process influenced by trade routes, the political dynamics of local kingdoms, and the transmission of Islamic knowledge through networks of scholars and local intellectuals. This process extended beyond the mere dissemination of religious teachings, encompassing significant social, cultural, and educational transformations within the community. A central figure in this Islamization process was Muhammad Basiuni Imran (1885–1976), the Maharaja Imam of the Sambas Sultanate, who played a pivotal role in reforming Islamic education and strengthening religious understanding among the local population. This article employs a historical-qualitative approach and library research to trace the trajectory of Islamization in Sambas while analyzing Basiuni Imran’s contributions within the socio-cultural context of the region. The findings reveal that Basiuni Imran’s thought reinforced Islamization through the modernization of Islamic education, the integration of Sharia with local customs, and the establishment of adaptive religious structures, thereby significantly shaping the religious life of the Sambas community from the colonial period to the early years of Indonesia’s independence.

Digital transformation has brought fundamental changes to the structure and dynamics of modern industrial economics. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data not only modify production and distribution processes but also revolutionize marketing strategies and patterns of industrial competition. This study is motivated by the need to understand how digital marketing transformation influences the development of competitive advantage through changes in digital market structure from an industrial economics perspective. In this context, digital marketing functions as a strategic instrument that integrates technology, data, and consumer behavior into market mechanisms. The analysis shows that digitalization creates a network-based market structure characterized by the concentration of economic power in major digital platforms and dominance in data control. This structure affects the intensity of competition, the direction of innovation, and patterns of industry differentiation. Digital marketing transformation enhances efficiency, expands market access, and lowers entry barriers for new players, yet it also creates competitive imbalances due to the dominance of large platforms.Through a digital Structure–Conduct–Performance (SCP) approach, the study finds that market structure acts as an intermediary variable that channels the impact of digitalization on competitive advantage. Digitalization significantly promotes industrial efficiency, innovation, and profitability. Proposed strategic solutions include strengthening digital literacy, developing adaptive regulations, and fostering cross-sector collaboration to create an inclusive, competitive, and sustainable digital industrial ecosystem

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 research is motivated by the phenomenon of Izhar Majid’s election, as he successfully maintained his position as a legislative member in Jambi Province and achieved a significant victory in his constituency despite intense political competition. His success is notable because he does not come from a political family, lacks elite family connections, and was still able to maintain his voter base after switching political parties. This condition raises questions about how he utilized political capital to gain public support. The study aims to analyze the forms, strategies, and utilization of political capital in winning political contests. Using political capital theory, this descriptive qualitative research collected primary data through interviews and secondary data from documentation, literature, and official election results. The findings show that his success was driven by the optimization of integrated political capital. Social capital was built through strong networks with community leaders and voter groups. Symbolic capital emerged from his positive image and reputation. Economic capital supported structured campaign activities. Combined with direct public engagement and targeted communication media, these factors significantly increased his visibility and electability.

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.

The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experimental conditions, with a particular focus on generalization performance and overfitting mitigation. Two neural architectures, a Long Short-Term Memory (LSTM) network and a Transformer-based attention model, are trained on publicly available API call sequence data for binary classification of malicious and benign executables. Beyond standard accuracy metrics, the study further examines model stability, convergence behavior, and the impact of long-range dependency modeling on detection robustness. Experimental results demonstrate that the Transformer architecture achieves superior performance, attaining 95.54% classification accuracy and consistent improvements in precision, recall, and F1-score, indicating a stronger ability to capture complex behavioral dependencies. These findings highlight the effectiveness of attention mechanisms in behavioral malware modeling and provide empirical evidence that NLP-inspired architectures offer a robust and scalable approach for real-world cybersecurity applications.

The development of digital media has transformed Islamic da’wah into a digitally mediated form of religious communication, reshaping structures of authority, engagement, and community formation. However, existing research remains fragmented and lacks a comprehensive structural map. This study conducted a Systematic Literature Network Analysis (SLNA) of Scopus-indexed publications on Islamic da’wah via digital platforms from 2016 to 2026. Using PRISMA-based screening techniques and bibliometric methods—including co-authorship, co-citation, and co-occurrence analyses with VOSviewer—the study analyzed 74 peer-reviewed journal articles. The results indicate a significant increase in the number of publications, particularly following the COVID-19 pandemic. The field is structured around four main themes: platform-based engagement strategies, youth identity formation, digital authority and ethics, and the adaptation of prophetic communication principles to the online context. Although Indonesia and Malaysia dominate the research output, the collaborative network remains relatively dispersed. New topics such as the influence of algorithms and AI-supported da‘wah suggest an expansion toward interdisciplinary directions. This study provides the first comprehensive map based on Scopus for research on Islamic digital da‘wah and offers a foundation for future theoretical and empirical development.

Political participation is a key indicator of local democratic quality. However, participation levels are shaped not only by structural factors but also by the configuration of social and psychological determinants underlying voting behavior. This study examines the configuration of social and psychological factors in political participation in Bangko District during the 2024 Merangin local election. A qualitative case study approach was employed. Informants were obtained using snowball sampling, including voters, community leaders, local election organizers, and campaign teams. Data were collected through in‑depth interviews, observation, and documentation, and analyzed using the interactive model of Miles, Huberman, and Saldaña. The findings reveal that participation is shaped by three key social factors family influence, neighborhood networks, and proximity to local political actors and three psychological factors political trust, perceived vote efficacy, and pragmatic motivation. The interaction of these dimensions produces a rational‑communal participation pattern, in which voting decisions are influenced by both benefit considerations and social pressure. These findings highlight that local political participation emerges from the interplay between social structure and individual psychological orientation. The study contributes to the literature on voting behavior in Indonesian local politics.

This study aims to analyze the role of digital spaces in the transformation of political communication as well as the power relations between society and political elites. The development of social media has now opened new opportunities for society, which can now express criticism and also participate in a more open and transparent public discourse. This study focuses on the case of digital criticism delivered by Salsa Erwina regarding controversial statements made by a member of the Indonesian House of Representatives, Ahmad Sahroni, which generated various public opinions. This research uses a descriptive qualitative approach with library research. The analysis in this study employs Jan Van Dijk's concept of network society, Jürgen Habermas's concept of public space, and Raewyn Connell's theory of gender and power relations. The results of the study have shown that social media, Moreover, the TikTok platform allows individuals who do not have formal positions within the political structure to influence public opinion through the dissemination of information in digital networks. In addition, this case also demonstrates that digital spaces are capable of expanding women's participation in political communication and also challenging patriarchal power relations. Therefore, digital spaces now have an important role in strengthening public participation, shaping public opinion, and also promoting the accountability of political elites in digital public spaces.

Inconsistent terminology across cybersecurity frameworks undermines global governance and interoperability. The National Institute of Standards and Technology Cybersecurity Framework (NIST CSF 2.0) and ISO/IEC 27001:2022 share similar objectives but diverge semantically in defining risk, control, and resilience. This semantic gap causes difficulties in compliance mapping and automated policy translation. Research Objectives: This study aims to analyze the semantic similarity and divergence between NIST and ISO/IEC 27000 terminologies, identify conceptual structures influencing interoperability, and propose an AI-assisted foundation for harmonizing cybersecurity language globally. Methodology: A mixed-method semantic comparative design integrates Natural Language Processing (NLP) and ontology mapping. Using the nist_glossary.csv dataset and ISO vocabularies, terms were normalized and analyzed via cosine similarity using sentence-transformer embeddings. Ontological alignment was visualized through the Semantic Threat Graph (STG) and validated by certified experts using Cohen’s Kappa reliability tests. Results: From 672 term pairs, results show 40.9% high semantic equivalence, 38.8% partial overlap, and 20.3% semantic divergence. Strongest alignment appears in “Protect” and “Identify” domains, while divergences occur in governance and recovery-related terms. Ontology mapping revealed three conceptual clusters—Risk Governance, Technical Safeguards, and Organizational Readiness. Conclusions: Findings confirm a 79.7% total semantic alignment, indicating strong potential for harmonizing global cybersecurity standards. The study contributes an empirical model combining computational linguistics and AI-based ontology mapping to establish semantic interoperability, enabling unified cybersecurity governance and AI-driven compliance automation. Keywords: Semantic Interoperability; Ontology Mapping; Cybersecurity Frameworks; Terminology Alignment; AI Harmonization

This community service aims to provide training on the use of the Joint Marketing Program (eJMP) application module to micro and small industry players in the  Surabaya city, so that marketing of MSI products can be carried out flexibly without being limited by space, place and time, so that marketing can reach a wider network and ensure the sustainability of MSI businesses in the future. This community service activity uses a qualitative descriptive approach by photographing the real conditions of marketing management of micro and small industries, then providing eJMP module training to 20 micro and small industry sector players as well as owners who are domiciled in the Surabaya city. The eJMP module training method is implemented through four stages, namely: (1) identifying the suitability of the eJMP module content to the marketing needs of MSI businesses, (2) determining the eJMP module training model with its marketing literacy priorities, (3) elaborating the eJMP content with MSI marketing literacy materials, and (4) implementing the eJMP module training for micro and small industry players. The results of this training indicate that micro and small industry players still experience difficulties in marketing MSI products, therefore optimizing the use of the eJMP application can help micro and small industry businesses to optimize marketing together, flexibly and effectively. This eJMP application module training includes material on the important role of joint marketing, optimizing the role of cooperatives, an introduction to the eJMP application and joint marketing simulations through the eJMP application. This training, which is carried out in a structured and systematic manner for micro and small industry players, is expected to be able to improve flexible and effective joint marketing and ensure the sustainability of MSI businesses in the future .