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This research aims to analyze the implementation of the "Jalak Wadul Mas" (Jawa Timur Layanan Pengaduan Warga dan Dukungan Masyarakat/East Java Citizen Complaint Service and Community Support) innovation program in improving the welfare of people with social welfare problems (PMKS) in East Java Province. The Social Service of East Java Province developed this program as an integrated digital platform for complaint handling, social assistance distribution, and empowerment of vulnerable groups. Using the policy implementation theory from Edward III, this study examines four critical factors: communication, resources, disposition, and bureaucratic structure. This qualitative research employs a descriptive approach, with data collected through in-depth interviews, observation, and documentation at the Social Service of East Java Province during June-August 2025. Informants include program managers, field social workers, PMKS beneficiaries, and community stakeholders. The results indicate that the Jalak Wadul Mas program has successfully served 45,678 PMKS across 38 districts/cities in East Java, with a 78% complaint resolution rate and average response time of 3 working days. The program integrates multiple services, including emergency assistance, rehabilitation referrals, skills training, and economic empowerment. Key success factors include strong leadership commitment, adequate technology infrastructure, and collaborative networks with community organizations. Challenges remain in human resource capacity, internet connectivity in remote areas, and cross-sectoral coordination. This study recommends strengthening digital literacy training for beneficiaries, expanding mobile service units, developing real-time monitoring dashboards, and establishing sustainable funding mechanisms.

The E-Kinerja Program is a policy innovation developed by the Madiun City Government to support the digitalization of civil servant performance management as part of bureaucratic reform and the implementation of the Electronic-Based Government System (SPBE). This study aims to evaluate the implementation of the E-Kinerja Program in Madiun City using six policy evaluation criteria proposed by William N. Dunn, namely effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. This research employs a qualitative descriptive approach, with data collected through interviews, direct observation of the E-Kinerja application usage, and documentation review of related policies. The findings indicate that the E-Kinerja Program is relatively effective and efficient in supporting the monitoring of civil servant attendance and daily activities through features such as QR Code-based attendance, photo documentation, and daily activity reporting. However, several challenges remain, including unstable GPS accuracy, limited internet connectivity, and the practice of non real time input of daily activities. In addition, differences in digital literacy levels and device compatibility among civil servants affect the equitable utilization of the application. Overall, the implementation of the E-Kinerja Program is considered appropriate as part of bureaucratic digital transformation in Madiun City, although further improvements in technical aspects and human resource capacity are required to optimize its implementation.

This community service activity was carried out to overcome the problem of open and uncontrolled internet networks at SMK Islamiyah Serua. This condition poses security risks as well as inefficient bandwidth usage. The solution offered is the implementation of a network gateway system with a user-friendly web-based login portal, so that internet access can be limited only to educators through an authentication mechanism. The implementation method includes needs analysis, system design, implementation using MikroTik RouterOS and HTML/CSS/JavaScript-based web portals, system trials, and socialization to schools. The results showed a significant improvement in network security, bandwidth usage efficiency, and ease of access for teachers. In addition, this activity also increases educators' understanding of the importance of network security in supporting the learning process. The implementation of this system provides sustainable benefits for schools, both from a technical and educational perspective, because it is able to create a safer and more controlled digital environment. Thus, this community service activity not only solves technical problems, but also contributes to improving the quality of educational services at SMK Islamiyah Serua.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in accelerating regional economic growth and improving community welfare. However, MSMEs in North Sumatra Province continue to face various challenges, particularly limited access to capital, low adoption of digital technology, and insufficient business assistance. This community service program aims to strengthen the MSME ecosystem through integrated empowerment initiatives, including facilitating access to financing, enhancing the use of internet-based technologies, and improving the capacity of MSME actors. The methods applied include business mentoring, training activities, and analysis of MSME performance in both short-term and long-term perspectives. The results indicate that expanded access to capital and increased adoption of digital technology contribute positively and significantly to MSME income growth in both the short and long term. Interestingly, the absence of guidance, training, and extension services shows a positive correlation with income in the short term but has a significant negative impact on business sustainability and stability in the long term. Furthermore, reliance on bank loans consistently demonstrates a significant negative effect on MSME performance across both analytical periods. These findings highlight the importance of building a sustainable MSME ecosystem through continuous mentoring, improved financial literacy, and adaptive digital transformation to ensure long-term business resilience.

This study aims to describe the implementation of smart government through the Sumbergedang Baru Program in Sumbergedang Village, Pandaan District, Pasuruan Regency. The program is a digital village initiative that utilizes information technology to improve the quality of public services, transparency of governance, and the social and economic empowerment of rural communities. This study employed a descriptive qualitative approach with purposively selected informants, including the village head, village officials, community groups (Pokmas GPS and G4S), and residents as service recipients. The findings show that digital literacy among the community and village officials has begun to develop, as indicated by their ability to use basic devices and applications; however, the utilization of village digital services remains limited and uneven across age groups. In terms of ICT accessibility, the village has established an internet network and public Wi-Fi hotspots, yet network coverage and stability have not fully reached all hamlets. Regarding regulations, the village government has established basic policies through decrees forming community groups and regulating the digital village program, although these have not been comprehensively integrated. In terms of human resource quality, village officials and young cadres are relatively adaptive to technology, but a capacity gap remains among older age groups. Overall, the implementation of smart government through the Sumbergedang Baru Program is still at the stage of building a digital village foundation, requiring further improvements in digital literacy, human resources, infrastructure expansion, and technology-based transparency.

Islamic education in the digital era faces significant challenges in improving the quality of learning and developing students' critical thinking skills. One promising solution is the implementation of deep learning-based Islamic education, which can facilitate the teaching of religious material more effectively and easily accessible via the internet. Deep learning has the potential to strengthen students' critical thinking skills and understanding of Islamic values ​​in a more interactive and personalized manner. This study used a literature review method to analyze various relevant literature sources. The results indicate that deep learning can increase student engagement, enable personalized learning, and provide real-time evaluation of learning progress. However, the implementation of this technology also faces challenges, particularly related to the availability and quality of relevant data. Therefore, efforts are needed to improve data quality and develop learning models tailored to student needs to achieve optimal results in technology-based Islamic education.

Laporan keuangan memiliki peran penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM) sebagai sumber informasi yang menggambarkan kondisi dan kinerja usaha dalam suatu periode tertentu. Laporan keuangan berisi pencatatan transaksi keuangan yang meliputi arus kas masuk dan keluar, serta digunakan sebagai dasar pengambilan keputusan. Penelitian ini menerapkan metode accrual basis, yaitu metode akuntansi yang mengakui dan mencatat transaksi pada saat terjadinya transaksi, tanpa menunggu penerimaan atau pengeluaran kas. Hasil penelitian berupa pengembangan aplikasi sistem informasi laporan keuangan yang bertujuan untuk memudahkan UMKM dalam mengelola data barang, pembelian, penjualan, dan pelaporan keuangan secara terintegrasi. Sistem ini memungkinkan pemilik dan karyawan UMKM mengakses informasi usaha secara cepat dan akurat melalui komputer yang terhubung dengan jaringan internet. Melalui sistem yang dikembangkan, pemilik UMKM dapat memantau berbagai laporan keuangan, seperti laporan stok barang, laporan pembelian, laporan penjualan, laporan laba rugi, dan laporan neraca, sehingga mendukung pengelolaan usaha yang lebih efektif dan efisien.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.

This study aims to examine and compare various findings from previous research on the effectiveness of online learning among university students in higher education settings in order to obtain a comprehensive general conclusion. The research method employed is a literature review using a content analysis approach of scholarly publications published between 2019 and 2025. The data sources include relevant national and international journal articles focusing on online learning in higher education. The results of the review indicate that the effectiveness of online learning is influenced by three interrelated main factors. Psychological factors include learning motivation, students’ perceptions of online learning, and the emotional conditions experienced during the learning process. Pedagogical factors encompass lecturers’ creativity in designing learning activities, the selection of appropriate teaching methods, and the use of interactive and varied learning media. Meanwhile, technical or environmental factors include the availability and ease of access to learning platforms, the quality of internet connectivity, and supportive learning environments. Online learning offers several positive impacts, such as flexibility in learning time, cost efficiency, and enhanced student experience in utilizing digital technology. However, it also has the potential to generate negative effects, including boredom, stress, and difficulties in understanding course material when technical barriers are not resolved and learning activities are monotonous. Therefore, optimal management of psychological, pedagogical, and technical factors is essential to improve the effectiveness of online learning for university students.

Teknologi internet telah berkembang pesat dan menjadi media yang efektif dalam mendukung penyebaran informasi serta aktivitas bisnis di era digital. Perkembangan tersebut mendorong pelaku usaha, khususnya usaha kecil dan menengah, untuk memanfaatkan sistem penjualan berbasis web guna memperluas jangkauan pasar dan meningkatkan efisiensi operasional. Dalam industri penjualan sepatu, proses penjualan yang masih dilakukan secara manual sering menimbulkan berbagai permasalahan, seperti keterbatasan akses informasi, ketidaktepatan pencatatan data, serta kurang optimalnya pengelolaan transaksi. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi penjualan sepatu berbasis web pada MAF Clobber dengan menggunakan Unified Modeling Language (UML) sebagai alat pemodelan sistem. Metode pengembangan sistem yang digunakan adalah System Development Life Cycle (SDLC) dengan model Waterfall, yang meliputi tahapan perencanaan, analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. UML digunakan untuk memodelkan kebutuhan dan alur sistem melalui beberapa diagram, antara lain use case diagram, activity diagram, sequence diagram, dan class diagram, sehingga menghasilkan rancangan sistem yang terstruktur dan terdokumentasi dengan baik. Hasil penelitian menunjukkan bahwa penerapan UML mampu memperjelas kebutuhan sistem, mengurangi ambiguitas dalam proses perancangan, serta mendukung pengembangan sistem yang lebih sistematis. Sistem yang dibangun memungkinkan pengguna melakukan pencarian produk, pemesanan, dan pembayaran secara daring, serta memudahkan admin dalam mengelola data produk, pelanggan, dan laporan penjualan. Sistem ini diharapkan dapat meningkatkan efektivitas transaksi, akurasi data, dan kualitas layanan penjualan sepatu.

Edge-Internet of Things (Edge IoT) systems are increasingly integral to applications that require real time signal processing, particularly where low latency and energy efficiency are critical. This paper explores the design and performance evaluation of a heterogeneous microprocessor architecture aimed at optimizing energy consumption and real time performance. The heterogeneous architecture integrates multiple types of cores, such as Central Processing Units (CPUs), Digital Signal Processors (DSPs), and Graphics Processing Units (GPUs), to allocate tasks based on computational demand. The proposed design significantly reduces energy consumption, particularly during high-performance tasks, while maintaining real time processing guarantees. Simulation-based performance evaluation was conducted to assess the energy efficiency, latency, and overall system performance under varying workloads, including real time Digital Signal Processing (DSP) benchmarks. The results showed that the heterogeneous architecture outperformed traditional homogeneous processors, demonstrating up to a 19-fold improvement in energy efficiency. Furthermore, the system reduced latency by up to 45% in real time applications, making it particularly suitable for Edge IoT environments such as industrial automation and smart healthcare, where both performance and energy efficiency are critical. Despite some trade-offs in task scheduling complexity, the heterogeneous design was able to balance power consumption and computational performance effectively. The findings suggest that this architecture can serve as a foundation for future Edge IoT systems, providing significant advantages in terms of energy efficiency, real time processing, and scalability. Future work will focus on further optimization of the architecture and exploring its application across various IoT environments.

The rapid proliferation of Internet of Things (IoT) devices across diverse industries has significantly increased the vulnerability of IoT edge networks to sophisticated cyber threats. Traditional intrusion detection systems (IDS), such as signature-based and anomaly-based approaches, are often insufficient in addressing the dynamic and evolving nature of these threats. This study proposes a hybrid intrusion detection system (IDS) framework that combines supervised machine learning (ML) techniques with deep reinforcement learning (DRL) to enhance detection performance in real-time, resource-constrained IoT environments. The proposed framework utilizes supervised learning for initial traffic classification and DRL for adaptive decision-making, enabling the system to continuously learn and optimize its detection policies based on new attack patterns. The hybrid approach significantly improves detection accuracy and reduces false positives when compared to conventional signature-based and single-model ML systems. In addition to improved detection capabilities, the framework's computational efficiency allows it to operate effectively within the constraints of IoT devices, ensuring that it is suitable for large-scale deployments. Benchmark evaluations using publicly available datasets, such as NSL-KDD, IoT-23, and BoT-IoT, show that the hybrid IDS framework outperforms traditional methods, providing a more robust and adaptive solution to cybersecurity challenges in IoT edge networks. The findings of this study suggest that combining machine learning with deep reinforcement learning offers a promising approach to secure IoT environments and address the limitations of existing IDS techniques. Future work will explore enhancing real-time adaptability, scalability, and the detection of zero-day attacks in evolving IoT ecosystems.

Smart cities are increasingly leveraging advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics to optimize urban management and improve the quality of life for citizens. However, managing vast and diverse datasets from numerous sources in real-time presents several challenges. This research proposes a modular framework that integrates distributed data processing engines with container-based workflow orchestration to address scalability, latency, adaptability, and fault tolerance in smart city data analytics. The framework utilizes cloud native technologies, including Apache Spark and Kubernetes, to efficiently manage resources and ensure high availability. The experimental setup tested the framework’s ability to handle dynamic data loads, demonstrating scalability through real-time resource allocation and low-latency processing. The adaptability of the framework was evident in its seamless integration with various data sources, such as environmental sensors and traffic management systems, which require different processing methods. Additionally, the framework’s modularity provided fault tolerance, enabling continued operation even if individual components failed, a crucial feature for mission-critical applications in smart cities. Compared to traditional monolithic systems, the proposed framework outperformed in flexibility, scalability, and performance, offering significant improvements in handling real-time data streams. Despite these advantages, challenges remain, particularly in integrating heterogeneous data formats and optimizing real-time processing for high-priority applications. The research highlights the importance of scalable data analytics and efficient workflow orchestration for the future of smart city platforms, offering a foundation for the development of more resilient, adaptable, and efficient cloud native infrastructures.

The family is the primary place where the faith of children and adolescents is formed, especially in the digital age, which is rife with information and moral dilemmas. Home is more than just a place to live; it is where children learn Christian values ​​through parental example, prayer, discussion, and attention. With the digital generation growing up with rapid access to the internet and social media, it is crucial for parents to ensure that technology becomes a tool for growth, not a threat to faith. This study analyzed literature on Christian religious education in families, children's spiritual development, and challenges in the digital age. The results show that strong emotional connections and active parental involvement in daily faith education can significantly shape children's character and spirituality. The family is the primary foundation in preparing a wise digital generation, firmly rooted in Christ, and able to navigate changing times without losing their faith identity.

The digital era presents challenges as well as opportunities for business actors, especially Micro, Small, and Medium Enterprises (MSMEs). Accelerating the adoption of digital technology-based payment systems is an urgent need so that MSMEs are able to compete and improve transaction efficiency. This Community Service (PKM) activity was carried out in Cendoro Village, Tuban Regency, with the aim of providing assistance to MSME actors through the implementation of a QRIS-based digital payment system. The method of implementing PKM consists of three stages, namely preparation, implementation, and evaluation. In the preparation stage, needs are identified and socialization of QRIS benefits are carried out. The implementation stage includes technical training on the use of QRIS as well as direct assistance in the implementation of non-cash transactions. The evaluation stage was carried out to measure the level of understanding and application of QRIS by participants. The results of the activity showed that participants understood the concept of digital payment and were able to apply QRIS in daily transactions. In addition, this activity encourages an increase in the adoption of QRIS which has an impact on efficiency, transaction security, expansion of market access, and local economic growth. The main obstacles faced include limited technological knowledge, uneven internet access, and operational costs. Thus, this PKM contributes to strengthening digital literacy and supporting technology-based economic transformation in Cendoro Village, Tuban Regency.

This study aims to analyze the role of internet technology in enhancing the competitiveness of ebusiness in Indonesia, particularly in the sector of small and medium enterprises (SMEs). Based on theoretical reviews, internet technology, e-business, technology adoption (TAM), and the concept of competitiveness serve as the main foundations for understanding the ongoing digital transformation. The research employed a descriptive qualitative method with a purposive sampling technique, involving five informants consisting of digital SME owners, online store managers, and users of service platforms. Data were collected through interviews and observations, then analyzed using the Miles and Huberman model through the stages of data reduction, data presentation, and conclusion drawing. The findings reveal that the internet plays a crucial role as an essential infrastructure that enhances marketing effectiveness, expands market reach, and improves operational efficiency. Marketplaces, social media, and delivery-service platforms contribute significantly to sales growth and service quality. However, challenges such as low digital literacy, platform commission fees, changes in social media algorithms, and uneven infrastructure development still limit optimal utilization. From a policy perspective, the study recommends strengthening digital infrastructure and improving national digital literacy. This research emphasizes that the success of e-business depends on technology access, human resource competence, and support through public policy. It can be concluded that internet technology serves as a vital foundation for e-business competitiveness in the digital era.

Internet use in Indonesia is highest among adolescents aged 15 to 19 years. Internet use can have a negative impact if users do not use social media appropriately, such as cyberbullying behavior. One of the impacts of cyberbullying is self injury. This study aims to determine the relationship between cyberbullying and self injury in adolescents. Methods: This studyused a descriptive descriptive correlation design with a cross sectional approach. Respondents in the study amounted to 233students of SMAN 9 Pekanbaru with sampling techniques using stratified random sampling. Cyberbullying was measured using The Cyber Victim And Bullying Scale (CVBS) questionnaire, and self injury was measured using the Self Harm Inventory (SHI). Data were analyzed using chi-square. Results: The majority adolescents have experienced cyberbullying actions moderate 153 (65.7%) and majority adolescents have experienced mild self injury 161 respondents (69.1%). Chi square analysis showed a significant relationship between cyberbullying and self injury (p = 0.000). Conclusion: There is a significant relationship between cyberbullying and self injury in adolescents. Increasing positive activities for self-development can reduce the effects of cyberbullying such as self injury.

The development of digital technology has driven the transformation of financial services, including in Islamic microfinance institutions. One form of innovation is the implementation of mobile banking services, which aims to improve transaction efficiency and digital financial literacy among the public. This study aims to analyze customer perceptions of the Mobile UGT service program at BMT UGT Nusantara Labang Branch and its role in improving digital financial literacy among the public. This study uses a qualitative approach with a descriptive method. Data was collected through in-depth interviews, observations, and documentation of five active customers who have used the Mobile UGT service. The results show that customers generally have a positive perception of the Mobile UGT service. The application is considered easy to use, practical, and able to facilitate various financial transactions such as checking balances, transferring funds, and making payments, without having to come directly to the BMT office. In addition to increasing transaction efficiency, the use of Mobile UGT also contributes to improving customers' digital financial literacy, as reflected in their increased understanding of income and expenditure management, budget planning, utilization of digital transaction features, and awareness of data and account security. However, this study also found several obstacles, mainly related to technical disruptions to the application and internet network limitations. Overall, the Mobile UGT service plays an important role in supporting customers' financial independence and digital financial inclusion. This study recommends strengthening technological infrastructure and continuing education programs to optimize the benefits of digital financial services in the BMT environment.

This research aims to determine the extent to which interactive quizzes can help improve students' understanding of Economics lessons in the Merdeka Curriculum, which focuses on a Deep Learning approach implemented at SMA Negeri 4 Surakarta. The results show that quite a few students have difficulty grasping economic concepts. The lack of participation and learning motivation, combined with the dominance of the lecture method, makes the learning process tend to be one-way. Conversely, the application of digital technology by educators is still very limited. This research uses a descriptive qualitative approach, collecting data thru observation, interviews, and documentation. A total of five students from the eleventh grade were selected based on purposive sampling techniques who had already taken economics lessons. The results show that the quiz format contributes to increasing students' interest, attention, and participation due to the presence of visual elements, screen animation, and a game-like atmosphere. However, obstacles such as slow internet connectivity or a slightly longer completion time than estimated did arise, although they did not hinder overall learning activities. Essentially, implementing this type of quiz aligns with the direction of the Merdeka Curriculum, which emphasizes in-depth conceptual understanding while also encouraging self-study habits, training the ability to reflect on the material, and creating a classroom atmosphere that tends to be more dynamic.