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In the modern era, embedded systems and the Internet of Things (IoT) are experiencing rapid and continuous development, with their usage projected to match or even exceed the number of IoT devices globally. This technological transformation has influenced various sectors, including education, which must adapt to current digital advancements. Therefore, it is important for educational institutions to integrate embedded systems and IoT concepts into their curricula to ensure that learning remains relevant to industrial and technological demands. Improving the competence and technological literacy of students and lecturers in the fields of embedded systems and IoT, particularly for smart control applications, is expected to strengthen academic capabilities and practical skills. Through this development, higher education institutions can encourage innovation and the application of technology-based solutions in solving real-world problems. Furthermore, this effort supports the implementation of the Tri Dharma of Higher Education, especially in the areas of education and research, by promoting applied research projects and collaborative learning activities based on embedded systems and IoT technologies.

Rapid developments related to technology are spreading rapidly in human life. The rapid development of this technology definitely brings positive and negative currents in its application. The higher the development, the greater the opportunity for negative impacts for irresponsible people. The utilization of technological developments in the financial sector is considered to greatly facilitate a person in carrying out economic activities. Armed with just one application, someone can make banking transfers, investments and their utilization in other economic activities. However, along with the ease and effectiveness of digital finance, there are also digital crimes that can harm many people in the banking world such as physing, malware, ransomware and so on. This type of research is a normative juridical research that focuses on laws and regulations to provide legal reformulation related to digital financial security finance to strengthen the defense of financial system protection in the digital sector which is very much needed in this increasingly sophisticated modern era.

The rapid development of digital technology has increased the risk of song copyright infringement, thereby requiring effective and adaptive law enforcement mechanisms. Song copyright, as part of intellectual property rights, is protected under Law Number 28 of 2014 on Copyright, with certain infringements classified as complaint-based criminal offenses. This study aims to analyze the handling of criminal cases of song copyright infringement by Civil Servant Investigators at the Regional Office of the Ministry of Law in West Java and to evaluate the effectiveness of their enforcement practices. The research employs a normative-empirical method with a descriptive-analytical approach, combining statutory analysis with empirical data obtained through interviews and field observations. The findings reveal that case handling is conducted through structured stages, including complaint submission, preliminary examination, mediation, and follow-up actions. Mediation constitutes the primary mechanism for dispute resolution, reflecting the application of the ultimum remedium principle and a restorative justice approach. Although the procedural framework has been implemented in accordance with applicable regulations, enforcement effectiveness remains constrained by limited human resources, budgetary limitations, insufficient technical capacity, low public legal awareness, and inadequate inter-agency coordination. These results underscore the importance of strengthening institutional capacity and enhancing enforcement effectiveness to ensure sustainable protection of song copyright.

The rapid development of information technology has provided significant opportunities to improve the efficiency of academic administration in schools. One of the common problems faced by educational institutions is the manual process of subject scheduling, which is time-consuming and prone to schedule conflicts among teachers, classes, and learning time. This problem is also experienced by SMPK Flos Carmeli, where the preparation of subject schedules has not yet been supported by an integrated computerized system. This study aims to design and develop a web-based subject scheduling application at SMPK Flos Carmeli using the Model–View–Controller (MVC) architecture. The research method employed is Research and Development (R&D) with the Waterfall software development model, which includes the stages of requirements analysis, system design, and application implementation. Data were collected through interviews, observations, and literature review to obtain system requirements that align with the school’s conditions. The application was developed using native PHP with the implementation of the MVC pattern to produce a structured, maintainable, and flexible system. The results show that the developed application is able to support the subject scheduling process in a faster, more accurate, and well-organized manner. The system provides features for managing teacher data, class data, time slots, schedule arrangement, and schedule printing, thereby minimizing schedule conflicts and improving the efficiency of school administrative work. Therefore, this subject scheduling application is expected to support the digitalization of academic administration and enhance the effectiveness of the teaching and learning process at SMPK Flos Carmeli.

The rapid development of information technology has transformed the way financial institutions deliver services, including credit unions. To improve service quality and accessibility for its members, KSP Credit Union Bahtera Sejahtera introduced a digital platform through the ESCETE application, which enables members to conduct loan and payment transactions online. This study aims to analyze the needs and members’ interest in using the online loan and payment platform provided by the ESCETE application at KSP Credit Union Bahtera Sejahtera, Kewapante Service Office. The findings reveal that the ESCETE application significantly facilitates members in conducting financial transactions without visiting the service office. The platform also improves employees’ work efficiency and accelerates service delivery. Members demonstrate a relatively high level of interest in using the application due to its accessibility and time efficiency. However, several challenges remain, including limited digital literacy among some members and unstable internet connectivity. This study concludes that the ESCETE application plays an important role in supporting digital financial services in credit unions. Therefore, continuous socialization and user assistance are necessary to maximize the utilization of the application

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

This research presents the development of a transaction data protection mechanism for a bouquet sales application by utilizing the Advanced Encryption Standard (AES) algorithm. The rapid growth of digital commerce has led to an increase in online transactions, which in turn raises serious concerns regarding the security of sensitive transaction data. Information such as customer identities, order details, delivery addresses, and payment data are vulnerable to unauthorized access, data leakage, and manipulation if not properly secured. To address these issues, this study applies the AES-128 encryption algorithm using a 128-bit secret key to secure transaction data before it is stored in the system database. The encryption process follows the standard AES workflow, including key expansion, initial transformation, multiple encryption rounds, and a final transformation stage. Decryption is restricted exclusively to authorized users who possess the correct encryption key. The research methodology includes system analysis, AES integration into the application, and functional testing of the encryption and decryption processes. Data integrity is validated by comparing the original plaintext with the decrypted output, while system performance is evaluated based on processing time and decryption accuracy. Experimental results indicate that the average encryption and decryption time remains under 10 milliseconds per transaction, without affecting system performance. The findings confirm that AES-128 effectively enhances transaction data confidentiality and integrity in the bouquet sales application

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization

Usaha Mikro, Kecil, dan Menengah (UMKM) sering menghadapi tantangan dalam pengelolaan data operasional, khususnya pada aktivitas penjualan dan persediaan. UMKM Sirup Cap Manggis sebagai produsen minuman lokal masih mengandalkan pencatatan manual, yang sering menyebabkan ketidaksesuaian data stok, keterlambatan pelaporan, serta alur kerja yang kurang efisien. Kondisi tersebut menunjukkan perlunya sistem informasi terintegrasi yang mampu mendukung pengelolaan data secara akurat dan real-time. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem Enterprise Resource Planning (ERP) yang berfokus pada modul penjualan dan persediaan berbasis Odoo guna meningkatkan efektivitas operasional UMKM. Penelitian ini menggunakan pendekatan penelitian terapan dengan metode Rapid Application Development (RAD) untuk mempercepat proses pengembangan sistem. Pengumpulan data dilakukan melalui wawancara dengan administrator UMKM, observasi langsung terhadap proses bisnis, serta analisis dokumentasi. Perancangan sistem didasarkan pada kebutuhan fungsional yang telah diidentifikasi, kemudian diimplementasikan menggunakan Odoo Community Edition dengan basis data PostgreSQL. Pengujian sistem dilakukan menggunakan metode black-box untuk memastikan setiap fitur berjalan sesuai dengan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa sistem ERP yang dikembangkan mampu mengintegrasikan proses penjualan dan persediaan secara efektif, memungkinkan pemantauan stok secara real-time, pencatatan transaksi otomatis, serta peningkatan akurasi data. Selain itu, sistem ini terbukti meningkatkan efisiensi operasional dengan mengurangi kesalahan pencatatan manual.

The rapid development of information technology has significantly increased the practice of online buying and selling as part of electronic commerce (e-commerce). One of the payment methods widely used in online transactions is cash on delivery (COD), in which payment is made by the consumer at the time the goods are received. Although the COD system provides convenience and a sense of security for consumers, in practice it often gives rise to legal problems, particularly unilateral cancellations by consumers. Such cancellations are frequently carried out after the goods have been shipped or have arrived at the destination address, resulting in material and non-material losses for business actors. This condition indicates an imbalance in legal protection between consumers and business actors in online transactions using the COD system. This study aims to analyze the mechanism of implementing the COD payment system in online buying and selling transactions and to examine the forms of legal protection available for business actors affected by unilateral cancellations by consumers. This research employs an empirical juridical method, also known as sociological legal research, with a field research approach to examine the application of law in practice, particularly in Jambi City. Data were collected through literature review and interviews and analyzed qualitatively. The findings of this study are expected to contribute to the development of legal regulation and to strengthen legal certainty and protection for business actors in online transactions.  

Abstract. The rapid growth of social media has significantly changed communication patterns, self-expression, and employment opportunities, especially among younger generations. However, among vocational high school students, social media use is still largely focused on entertainment and has not been optimally utilized for skill development, personal branding, or economically productive activities. Addressing this issue, a community service program was conducted to enhance the knowledge, understanding, and practical skills of students at SMK YBPK Pare in creating creative, structured, and relevant social media content in line with the demands of the digital era in 2024. The program was implemented through the delivery of conceptual materials on social media fundamentals, content planning strategies, and effective content creation techniques. These materials were strengthened through interactive discussions and hands-on practice using smartphones and accessible editing applications. The participants included 40 students from grades X, XI, and XII, representing Generation Z with high social media usage intensity. The results showed improved student understanding of the purpose of social media, basic digital content concepts, and communicative content creation techniques. Students were able to produce simple promotional content to support school branding. In addition to technical skills, the program increased awareness of social media as a tool for self-development, digital literacy, and future employment or entrepreneurial opportunities, thereby contributing positively to students’ digital competencies and work readiness.

This research aims to determine the effectiveness of using a school Instagram application as a medium for guidance and counseling services at SMA Negeri 11 Takengon. The background of this research is based on the rapid development of information and communication technology, which encourages schools to utilize social media as a supporting tool in educational services, particularly guidance and counseling. The research method used is a quantitative approach with a descriptive research design. The subjects of this research are students of SMA Negeri 11 Takengon who actively follow the school’s Instagram account. Data were collected through questionnaires developed based on indicators of the effectiveness of guidance and counseling services, including aspects of understanding, interest, accessibility, and service benefits. The collected data were analyzed using descriptive statistical techniques. The results show that the use of the school Instagram application is categorized as effective in supporting guidance and counseling services. Students find it easier to access information, better understand counseling materials, and show greater interest in participating in services delivered through Instagram. Therefore, Instagram can be considered an innovative and relevant alternative medium for implementing guidance and counseling services in schools.

The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated framework that embeds automated security testing within the CI or CD process. The framework incorporates security testing tools such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Vulnerability Assessment and Penetration Testing (VAPT) to ensure continuous security checks throughout the development lifecycle. The experimental results show that the proposed framework enhances early vulnerability detection, with detection rates increasing from 30% to 70%. Additionally, the framework reduces deployment failures from 50% to 20%, demonstrating its effectiveness in improving software dependability. While the integration of automated security testing adds a slight 5% increase in pipeline execution time, this minimal impact does not significantly affect the overall speed of the pipeline. The proposed approach successfully balances security and efficiency, ensuring that software is both secure and delivered at high speed. This research highlights the importance of integrating security into CI or CD pipelines and demonstrates that it is possible to achieve high security without sacrificing the speed of software development. The study also discusses the practical implications for software development teams and suggests areas for future research, including the integration of advanced AI-driven security testing tools and the expansion of the framework's applicability across different software projects.

The increasing demand for real time parallel processing in cloud computing environments necessitates the development of more efficient and fault-tolerant scheduling algorithms. Traditional scheduling methods, such as static algorithms, often fall short when handling dynamic workloads and system failures, leading to increased task latency and reduced system performance. In contrast, adaptive scheduling algorithms dynamically adjust to changes in system conditions and workloads, ensuring timely task completion and optimized resource utilization. This study evaluates the performance of adaptive scheduling algorithms in real time cloud environments, focusing on key factors such as task latency, system resilience, and fault tolerance. Simulation experiments were conducted using cloud computing models that incorporate fault injection scenarios, including network failures and virtual machine crashes. The results show that adaptive algorithms significantly outperform traditional static schedulers in terms of task latency reduction and improved system resilience. These algorithms demonstrated better fault recovery times and ensured consistent real time performance, even under failure conditions. The findings highlight the advantages of adaptive scheduling in cloud environments, particularly for applications requiring rapid data processing and high system reliability. Despite the promising results, challenges remain regarding the scalability and complexity of these algorithms in large-scale cloud systems. Further research is needed to optimize adaptive scheduling algorithms for efficiency, scalability, and comprehensive performance evaluation, taking into account factors such as energy consumption, cost, and reliability. This research contributes to advancing cloud computing infrastructures that can dynamically handle real time tasks and maintain high performance under varying workloads and failures.

The rapid development of digital technology requires Micro, Small, and Medium Enterprises (MSMEs) to adapt by utilizing digital marketing and improving financial management practices. However, many service-based MSMEs have not yet optimized digital promotion and integrated bookkeeping in their business operations. This community service activity aims to enhance the promotion of service MSMEs through the implementation of digital marketing and to strengthen cost control through simple bookkeeping at AND CUSTOM LED. The methods used include an initial survey, practical mentoring, and evaluation of the activities. The mentoring process involved training in promotional content creation, the use of social media as a business communication tool, and the application of daily transaction recording. The results indicate an improvement in the business owner’s understanding and behavior regarding promotional management and financial recording. The MSME owner became more active and consistent in implementing digital promotion strategies and more disciplined in recording income and expenses. In addition, the mentoring encouraged a more independent and well-planned work attitude. Overall, this activity demonstrates that integrating digital marketing with simple bookkeeping can improve the quality of service MSME management and support business sustainability in the digital era.

Digital transformation initiatives have become essential for organizations seeking to remain competitive in today’s rapidly evolving technological landscape. However, many organizations face challenges due to ineffective Information Systems (IS) governance, which hampers strategic decision-making and the successful execution of these initiatives. This study aims to develop an IS governance framework that enhances decision-making quality by aligning IT decisions with organizational goals during digital transformation efforts. The proposed framework addresses existing gaps in current IS governance models, offering a solution to common challenges such as inadequate governance structures, resource constraints, and misalignment between IT and business strategies. The framework was developed through a mixed-method approach, including conceptual framework development, expert consensus via the Delphi method, and organizational validation studies. Key findings reveal that the framework improves transparency in decision-making, enhances accountability for IT decisions, and ensures better alignment between IT strategies and organizational objectives. By embedding agile leadership and data-driven decision-making principles, the framework enables organizations to respond effectively to the fast-changing dynamics of digital transformation. This study also compares the proposed framework to existing models such as COBIT and ITIL, highlighting its unique features, including its adaptability to the fluid nature of digital transformation. The framework's strengths include its comprehensiveness and flexibility, though its application may face challenges in organizations with limited digital maturity or rigid governance structures. Future research directions include exploring the integration of emerging technologies into the framework and its applicability across different organizational contexts.

Rapid technological change in the digital era has reshaped the nature of organizational innovation, requiring firms not only to innovate but also to align their innovation activities with technological developments and market dynamics, a capability referred to as Techno-Resonance Innovation Capability (TRIC). Although Knowledge Management (KM) has been widely recognized as a driver of innovation, studies that explicitly link KM to the development of techno-resonant innovation remain limited. This study aims to address this gap by systematically reviewing the literature to examine how KM contributes to innovation capability and how this relationship evolves toward TRIC through absorptive capacity. Using the systematic literature review methodology proposed by Tranfield et al., this study follows three stages planning, conducting, and reporting the review to identify, evaluate, and synthesize relevant studies on KM, absorptive capacity, innovation capability, and techno-resonance. The findings indicate that innovation capability emerges from interconnected KM processes, including knowledge acquisition, sharing, storage, and application, which form the organizational infrastructure for innovation. Absorptive capacity is identified as a key bridging mechanism that enables organizations to transform managed knowledge into innovative outcomes by enhancing their ability to acquire, assimilate, transform, and exploit technological knowledge. This study concludes that integrating KM and TRIC through absorptive capacity extends conventional innovation capability models and provides a stronger theoretical explanation of innovation in technology-driven and digitally dynamic environments.

The rapid development of digital technology, particularly Artificial Intelligence (AI), has significantly influenced educational practices, including Islamic Religious Education (PAI). A major issue lies in how AI can be implemented effectively without undermining the spiritual, moral, and character-building values that are central to Islamic education. This study aims to examine the implementation of Artificial Intelligence in Islamic Religious Education learning in the era of school digitalization, focusing on its concepts, forms of application, teachers’ roles, benefits, as well as challenges and ethical considerations. This research employs a qualitative library research method. Data were collected from reputable academic journals, scholarly books, proceedings, and relevant official documents, and analyzed using content analysis techniques through data reduction, data display, and conclusion drawing. The findings indicate that AI has substantial potential to enhance PAI learning through personalized learning systems, adaptive learning media, and data-driven assessments. However, its implementation requires strong teacher supervision, adequate digital literacy, and alignment with Islamic values to prevent the marginalization of teachers’ moral and spiritual roles. In conclusion, Artificial Intelligence serves as a supportive tool in Islamic Religious Education and must be applied wisely, ethically, and in accordance with the fundamental objectives of Islamic education.

The rapid development of information technology has increased the use of online lending services, including illegal platforms that impose excessive interest rates, misuse personal data, and employ intimidating debt collection practices. Limited legal and digital literacy has made communities more vulnerable to these risks. This Community Service Program aims to enhance the understanding of residents in Kradenan Village, Tuban Regency regarding the characteristics of illegal online loans, their social, economic, and psychological impacts, and the relevant legal protections under regulations such as the Electronic Information and Transactions Law, the Personal Data Protection Law, and OJK Regulation No. 77/2016. Through participatory legal education and interactive discussions, the program achieved full participation and improved participants’ knowledge by up to 75%. Residents became more capable of identifying illegal loan applications, recognizing data misuse risks, and understanding preventive measures and available legal remedies. This program effectively increased public awareness to use digital financial services more responsibly and avoid the dangers of illegal online lending.

The rapid development of digital technology requires teachers to possess competencies that are relevant to modern learning needs. This necessity underlies the focus of this community service program, namely transforming teacher competencies through character-based learning innovation supported by Artificial Intelligence (AI). The program was conducted at Madrasah Tsanawiyah Nurul Huda Muaro Jambi with the aim of strengthening teachers’ skills in utilizing AI as a tool to support interactive learning while instilling character values in students. The method included socialization, training, and direct mentoring in the practical application of AI-based learning media in the classroom. The results showed significant improvements in teachers’ ability to design technology-based learning materials, a better understanding of integrating character education, and increased motivation to innovate. Furthermore, the program fostered a more engaging learning atmosphere aligned with the needs of the digital generation. Therefore, the transformation of teacher competencies through AI not only enhances teacher professionalism but also plays a crucial role in shaping students with strong character amid technological advancement.