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In the digital era, the personal branding of lecturers and alumni plays a strategic role in enhancing university brand awareness. A strong academic identity and a positive image presented through digital platforms can strengthen the reputation of higher education institutions. This study aims to analyze how optimizing the personal branding of lecturers and alumni contributes to shaping university brand awareness. The research method used is a literature review by analyzing various scientific sources related to personal branding, brand awareness, and digital marketing strategies in the context of higher education. Data were collected from academic journals, books, and relevant publications discussing the role of digital media in building the image of academic institutions.The findings indicate that consistent and authentic personal branding of lecturers and alumni on digital platforms such as social media, university websites, and professional networks can enhance university exposure and appeal to prospective students and other stakeholders. Active interaction, expertise-based content, and participation in online academic discussions are key factors in building credibility and public trust. The implications of this study provide insights for universities in designing effective digital branding strategies by leveraging the active role of lecturers and alumni. Universities should encourage the strengthening of personal branding through training programs and structured digital communication policies to enhance institutional competitiveness at both national and global levels.

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.

Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strategy for SCD based on Grey Wolf optimization (GWO) methodologies and CNN. The proposed methodology has four stages: preprocessing, segmentation, feature extraction, and classification. The proposed method utilizes a Convolutional Neural Network (CNN) to extract features from Regions of Interest (ROIs). CNN is employed for feature categorization, whereas the GWO approach enhances accuracy by refining edge detection and segmentation. This technique utilizes a probabilistic model to accelerate the convergence of the GWO algorithm. Employing the GWO model to optimize the structure and weight vectors of CNNs can enhance diagnostic accuracy by a minimum of 5%, based on evaluation outcomes. The application of the proposed strategy and its performance comparison with other methods indicate that the proposed method with GWO predicted SC with an average accuracy of 95.11% and without GWO an Accuracy of 92.66%, respectively, enhancing accuracy by a minimum of 2.5% when we train our model with GWO.

Modern cellular tissues have evolved into cell tensegrity structures, where cell strength and stability are established through supportive interactions. Tensegrity improves the efficiency of frequency spectrum use and signal quality in cellular networks. Research shows miRNAs play an important role in the regulation of gene expression in the immune system, providing new insights into the complexity of modern biological systems. Structural Design of Cellular Tissues involves computer simulation studies and laboratory experiments on cell tensegrity. Immune Regulation by MicroRNAs includes analysis of MiRNA gene expression and functionality using technologies such as microarrays and high-throughput sequencing. Data Integration includes identifying microRNA gene targets and understanding transcriptional regulation through methods such as reporter gene assays and Chromatin Immunoprecipitation to predict cellular responses in clinical scenarios. The complex interplay between cellular tensegratas mechanisms and immune regulation by microRNAs shows how widespread their interactions are in human biological systems. The cellular tensegratas structure helps improve intercellular communication, while immune regulation by microRNAs ensures the body's proper response to pathogens. Recent research on microRNAs has exposed their role in the development and function of mammalian immune cells. MiRNAs play an important role in the development and function of mammalian immune cells. The complex interactions between cellular tensile mechanisms and immune regulation by microRNAs demonstrate how structural and functional integration can improve the performance of human biological systems. Integration of these data provides a complete picture of the complexity of modern biological systems and their clinical implications in the diagnosis and treatment of immunological diseases.

This research was inspired by Bumdesa Podo Makmur, which is an initiative of the village government to improve the community's economy, including educating the public about BUMDes, planting and raising various types of livestock, and running trade and other businesses. There are still individuals who have not joined and taken advantage of BUMDes institutions even though business units are available. The qualitative research methodology used. Data collection methods include documentation, interviews, and observations. Data analysis methods include data reduction, data visualization, data validation, and conclusion drawn. The results of the research are 1) The efforts of the Podo Makmur Kandangan bumdesa in the livestock unit in Kandangan Village, namely improving the quality in the management structure and management of bumdes so that the performance of bumdes managers is getting better. Increasing collaboration with farmer organizations and strengthening social capital capacity, especially in terms of trust and networks to develop livestock business units, is very important in addition to strengthening the management structure of BUMDes. The next step is to try to increase farmers' trust in Bumdes by making the company more open, honest, and honest. 2) The contribution of the Podo Makmur Kandangan bumdesa through the livestock unit to improve the economy in Kandangan Village by carrying out its programs to improve the business units run, especially the livestock unit; helping the community through education, guidance and business improvement training provided by Budes every two months to ensure the proper running of business programs; Assists in organizing, managing, repairing, and supervising the enclosure. This helps goat farms breed and produce livestock products that can be used by many people.

The history of the spread of Islamic education in the early days in Indonesia is an integral part of the process of Islamization of the archipelago that has been going on since the 13th century. Islamic education not only functions as a means of spreading religion, but also as a medium for forming the social, cultural, and intellectual character of the community. This process is carried out through various channels, including the role of ulama, Islamic boarding schools, surau, and mosques as centers of education. This study aims to analyze the dynamics of the process of spreading Islamic education in the early days, by examining various supporting factors such as trade routes, cultural acculturation, and the involvement of local communities. A literature review approach is used to explore relevant literature, including historical manuscripts, current research, and other academic documents. The findings show that the success of Islamic education in the early days cannot be separated from the strategy of cultural adaptation, teaching based on local traditions, and the support of the diaspora ulama community in various regions. Previous research, such as that conducted by Azra, emphasized the importance of the ulama network in Southeast Asia and the contribution of traditional educational institutions in building an inclusive and sustainable Islamic education system. The conclusion of this study confirms that Islamic education in the early days in Indonesia played a significant role in shaping the social structure and religious identity of the community. To strengthen its relevance, further study is needed on the transformation of the early Islamic education system and its implications for the challenges of modern education in Indonesia.

Advances in information technology have encouraged government agencies to implement electronic-based systems to improve the effectiveness, efficiency, and transparency of services. The Community and Village Empowerment Service of Magetan Regency uses the Presence and Performance Application System Si Apik application to record the attendance of State Civil Apparatus as part of the E-Government program. This study aims to evaluate the usability of the Si Apik application using the System Usability Scale method to measure the level of user satisfaction. The research approach involves descriptive qualitative and quantitative methods, with data collection through observation, SUS questionnaires, and semi-structured interviews. The results showed an average SUS score of 52.59, which is in the marginal category, with a grade D and an "OK" rating. This score indicates that the system still has technical constraints, such as network connections and application errors, which affect ease of use. Recommendations for improvement include optimizing features, increasing system stability, and providing clearer technical guidance. This study provides strategic input for the Community and Village Empowerment Service of Magetan Regency in improving the quality of Si Apik application services.

The restaurant business continues to grow, but few business actors understand how to seize business opportunities to increase competitiveness. This study aims to analyze the application of the Canvas Business Model (BMC) in the culinary industry, with a focus on the fast food business in the city of Surakarta. BMC is used to evaluate nine key elements: value proposition, customer segments, distribution channels, customer relationships, key resources, key activities, key partnerships, cost structure, and revenue streams. The method used in this study is a qualitative descriptive approach, with data collection through surveys, interviews, and observations. The results of the study show that the implementation of BMC can increase the effectiveness of business strategies, especially in terms of product innovation, improved customer experience, and optimization of digital marketing and partnership networks. In addition, a SWOT analysis is conducted to identify the strengths, weaknesses, opportunities, and threats of the culinary business, which is then used as a basis in designing a growth strategy. The main findings of this study propose new business models that are more adaptive and sustainable, including product diversification strategies, the use of digital technology, and strengthening partnerships with suppliers and food delivery service platforms. This research is expected to be a reference for culinary entrepreneurs in developing more competitive and sustainable business strategies in the digital era.

PKK organization, comprised of women (wives as husbands' companions), plays a strategic role in household management, including influencing the behavior of their husbands. The objective of this writing is to analyze the role of PKK members in preventing the abuse of power by husbands. A qualitative approach with a descriptive-analytic method is capable of integrating the theory of the welfare state and the concept of abuse of power in public services. The method used in this community service is a participatory method through Focus Group Discussions (FGD). The research results show that PKK has a strategic position in preventing abuse of power through four main functions: monitoring government programs at the grassroots level, empowering the community through education and socialization, mediating between the community and government, and strengthening good governance. The effectiveness of the PKK role is supported by an organizational structure that extends to the RT/RW level and a strong social network in the community. This research recommends the importance of strengthening the capacity of PKK cadres, developing an integrated reporting system, and increasing coordination with formal supervisory bodies. PKK not only plays a role in improving family welfare but also becomes a strategic partner for the government in preventing abuse of power, supporting the realization of clean governance and quality public services

This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the benefits of utilizing quantum computing methods for enhanced predictive modeling. We provide a complete examination of the data, stressing the better performance of the VQCA model and its promise in correctly predicting lung cancer. The results highlight the importance of quantum-classical algorithms and help us understand the benefits and drawbacks of various strategies for predicting lung cancer. The study highlights the potential applications of quantum computing techniques in advancing the field of healthcare analytics. It shows the capability of the VQCA model to predict lung cancer using a tabular dataset accurately. Further research in this area is needed to explore scalability and practical implementation aspects. In summary, this study showcases the potential of VQCA and PennyLane in predicting lung cancer and underscores the benefits of quantum computing techniques in healthcare analytics.

This study examines the relationship between communication and auditor competency within Indonesia's public sector, focusing on its impact on audit quality and governance. The research addresses the challenges faced by public sector auditors, such as resource limitations and stakeholder expectations, which demand a balance between technical expertise and effective communication. The study was conducted in North Sumatra Province, involving 130 auditors affiliated with the Aparat Pengawasan Intern Pemerintah (APIP) network. A structured survey was used to collect data, focusing on auditors' communication skills, technical proficiency, and ethical judgment. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for data analysis, allowing the evaluation of complex constructs like communication efficacy and competency. The findings reveal that effective communication positively impacts auditor competency, enhancing collaboration within teams, fostering stakeholder trust, and ensuring actionable outcomes from audits. The results underscore the necessity of refining communication strategies to address governance complexities and stakeholder demands. This study highlights the symbiotic relationship between communication and competency, providing actionable insights for improving audit processes in Indonesia's public sector. It offers a foundation for developing training programs and frameworks that align with the International Professional Practices Framework (IPPF) and modern technological advancements to elevate public accountability.

This study is motivated by the issue of criminalizing drug couriers, who in judicial practice are often equated with the main perpetrators, even though in reality they occupy a subordinate position in the drug distribution network. The lack of clarity in the differentiation of roles in Law No. 35 of 2009 on Narcotics has led to the application of criminal liability that tends to be formalistic and has the potential to disregard substantive justice. This study aims to analyze the form of criminal liability of Class I drug couriers and assess whether the Pekanbaru District Court Decision Number 119/Pid.Sus/2025/PN Pbr has reflected justice in the imposition of criminal penalties. The research method used is normative juridical with a legislative approach, case approach, and conceptual approach. The results of the study show that the criminal liability imposed on couriers in the verdict is direct as the main perpetrator, without considering the theory of the perpetrator's role, degree of fault, and the defendant's capacity to be held responsible. The judge emphasized the fulfillment of the elements of the act as formulated in Article 114 of Law Number 35 of 2009 concerning Narcotics, without adequate analysis of the mens rea and the factual contribution of the courier in the structure of the crime. Justice in this study is understood as substantive justice, which requires consistency between the punishment, role, and degree of fault of the perpetrator. Proportional punishment is interpreted as the imposition of sanctions that clearly distinguish between couriers as subordinate actors and the main actors who control the narcotics network. This study concludes that the criminal liability of narcotics couriers must be based on individualization of punishment and proportionality so that law enforcement not only fulfills legal certainty but also reflects substantive justice.  

This study explores the role of peer mentoring as a strategy to reduce student dropout rates and strengthen social support networks in universities. Using a mixed-methods approach that combined quantitative surveys and qualitative interviews, the research examined students’ sense of belonging, academic motivation, persistence intention, and access to emotional and academic support. The findings indicate that peer mentoring significantly enhances students’ sense of community, increases their academic motivation, and strengthens their commitment to continue their studies. Compared to other retention strategies such as academic counseling or financial support, peer mentoring provides unique advantages by fostering ongoing peer-to-peer relationships and expanding social networks. Moreover, the study found that mentor–mentee interactions create a safe space for students to share academic challenges, personal concerns, and coping strategies, which contributes to improved well-being and greater confidence in navigating university life. Peer mentoring also offers opportunities for skill development, including communication, collaboration, and self-regulation, making it beneficial not only for mentees but also for mentors. These results suggest that peer mentoring not only mitigates dropout risks but also contributes to building long-term resilience and a supportive learning environment for students. Therefore, universities are encouraged to integrate structured peer mentoring programs into their retention initiatives to promote student success and holistic development.

Through the Governance Network, the government has a great possibility to reach problems more closely by utilizing the advantages of the network and developing innovative ideas to overcome public problems and improve the quality of services and public policies. One of the problems is the food security policy. This study uses the concept of Social Network Theory (Klijn & Koppenjan) which looks at the structure in the policy implementation network, namely the aspects of contact, trust, information sharing, and resource exchange as well as how to coordinate between actors in the food security policy implementation network in West Papua Province. The results of the study show that the relationship and participation of actors in the network have not run optimally. This can be seen from the structure in the network which includes trust, information sharing, and resource exchange has not been optimal. Meanwhile, contact from the structure in the network has been carried out well, with the formation of policy tools. Coordination in the food security policy implementation network uses the type of mutual adjustment coordination. The implementation of the Food Security Policy in the Perspective of the Governance Network has not been effective.

This study aims to compile an Information Technology (IT) Master Plan for SMK Ma'arif 1 Metro using The Open Group Architecture Framework (TOGAF) method. This method is applied to design a structured and integrated information technology infrastructure to support operations and learning in schools. The results of the study indicate that the main business processes in schools, such as student registration, curriculum management, and financial administration, are still carried out manually, making them prone to errors and inefficiencies. Through TOGAF, an information system architecture is designed that includes the development of the Academic Information System (SIAKAD) and other school management applications. In addition, improving network infrastructure and cybersecurity are priorities in the proposed technology architecture. Implementation strategies and change management are also formulated to ensure the success of the digital transformation. This IT Master Plan is expected to improve the efficiency of school operations and the quality of learning, as well as support the achievement of more optimal educational goals in the digital era.

The development of Jayapura City as the capital of Papua Province has grown into a region very rapidly from being a modern city. The classification of areas in Jayapura City is included in the heterogeneous area group where the types of population come from various tribes and regions that live in Jayapura City. The city of Jayapura has land and sea areas with different areas, and has residential characteristics as a traditional village. The settlements of Kampung Enggros and Kampung Tobati are located around the coast of Yotefa Bay, including in the South Jayapura District and Abepura District of Jayapura Municipality, where the community builds their settlements above sea water. One thing that residents will face is the relationship between humans and the places where they live, which cannot be separated from nature. The research methods used to achieve the objectives of this research are comparative analysis and qualitative methods. The comparative analysis method displays settlement patterns with comparisons between 2019-2023 in the form of images.  Qualitative descriptive analysis method by presenting actual settlement development problems in the field in the form of pictures. The research results show that there are 3 factors for settlement development in Enggros and Tobati Villages, namely, Community, Protection and Network. Society is changing from traditional to modern, for example traditional houses become modern houses that keep up with the times. The network turns into a spatial structure in a pattern that is influenced by the economic aspects of indigenous communities. The main thing is natural factors because in the general view of indigenous Papuans, what is meant by their home is the natural surroundings where they can live.

Industrialization has helped the economic growth and progress of many countries, but it is still understood about its effects on government, power structures, and social relations. The study investigates the impact of industrialization on these three components, with particular emphasis on Indonesia. Government has changed significantly as a result of industrialization, which has played an important role in driving industrial growth. To attract foreign investment, improve infrastructure, and improve the business environment, governments have implemented several policies, but there are concerns about their ability to oversee industry and protect the interests of local communities. In addition, the power structure has undergone significant shifts, with the emergence of new social classes and the consolidation of power among certain classes. The industrial sector has also created new opportunities for social mobility, but has also exacerbated economic and social disparities. To solve this problem, this study suggests that the distribution of wealth and power must be fairer. Industrialization, along with increased urbanization and urban growth, has had a significant impact on social relations. The study investigates how industrialization has affected social relationships, including its impact on family structures, community networks, and social identities. So, Indonesian government, power structure, and social relations are heavily influenced by industrialization. Although it has produced significant economic gains, it has also created new problems and differences. This research suggests that a deeper understanding of the impact of industrialization is vital, as are the policies needed to address the social and economic impacts of industrialisation.

The development of information technology in the modern era is increasingly rapid. and influences various aspects of life, including early childhood education. The Internet, as a component of information technology, connects computers around the world into a very large network, enabling instant and global exchange of information. This has a significant impact on Religious and Moral Competencies in AUD. The qualitative approach used in this research is a case study design at the Bung Karno State Kindergarten. Data was collected through classroom observations, semi-structured interviews with PAUD teachers, and questionnaires for parents or guardians of students. The research results show that technology, especially the use of gadgets, has a significant influence on the moral and religious values ​​of young children. Children who use technology excessively tend to have difficulty socializing, have apathetic behavior, and show signs of addiction. Challenges in teaching moral and religious values ​​​​include the difficulty of conveying abstract concepts to children who are still at the fundamental cognitive development stage. This research concludes that moral and religious education needs to be fostered from an early age to form quality character. Although technology can facilitate various activities, uncontrolled use can have a negative impact on children's moral and religious development. Therefore, parents, educators and other stakeholders need to do better to manage the use of technology and strengthen the education of moral and religious values ​​​​in early childhood.

Background: The rapid growth of warehouse automation and autonomous mobile robots has increased the need for adaptive navigation systems capable of operating safely and efficiently in dynamic industrial environments. Classical path planning algorithms such as A* and RRT perform well in structured settings but exhibit limitations when handling moving obstacles and environmental uncertainty. Objective: This study aims to develop and evaluate a reinforcement learning based navigation framework integrated with sensor fusion to improve path efficiency, collision avoidance, and robustness in dynamic warehouse scenarios. Method: An experimental research design was implemented combining high-fidelity simulation and real-world warehouse prototype testing. Deep Q-Network and Proximal Policy Optimization models were developed and trained using multi-sensor inputs from LiDAR, camera, and inertial measurement units. Performance was evaluated using path efficiency, collision rate, computational cost, and robustness metrics, with benchmarking against classical algorithms. Results: The results demonstrate that the Proximal Policy Optimization model achieved the highest path efficiency and lowest collision rate while maintaining stable computational performance under dynamic conditions. Reinforcement learning models significantly outperformed classical planners in adaptability and robustness, confirming their suitability for scalable industrial warehouse automation.

Architecture using tree topology has become a popular approach in managing computer networks. Tree topology combines elements of star and bus topologies, resulting in an efficient and scalable network for a variety of purposes. This paper discusses the basic concepts of architecture using tree topology, including hierarchical structures and design advantages. First, the tree topology consists of a parent node (root node) which leads to a number of branch nodes (branch nodes). Each branch node can then connect to other nodes, forming a multilevel hierarchy. In computer networks, this topology is often used to connect a number of LANs (Local Area Networks) into a larger network. The main advantages of tree topology are scalability and management efficiency. The network can be expanded by adding new branch nodes without affecting the rest of the network. Additionally, network monitoring and maintenance becomes more organized due to a clear hierarchical structure. However, tree topology also has disadvantages. If the parent node fails, then all parts of the network connected to that node can be affected. Additionally, complex implementations may require more sophisticated hardware and software. In the modern computing era, tree topologies are used in a variety of contexts, ranging from corporate network infrastructure to online content distribution. Its ability to provide an organized and extensible structure makes it an attractive choice in designing efficient and reliable network architectures.