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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.

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 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 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.

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.

Dropshipping is essentially a buying and selling process between a seller and a buyer using the internet. Dropshipping is a product sale that allows dropshippers to sell goods to customers using photos from suppliers or stores and then sell them to customers at a price determined by the dropshipper. The questions to be answered through this research are: a) How does the buying and selling process work using a dropship system? b) How does the buying and selling process work using a dropship system from a sharia economic perspective. The method used in this research includes descriptive research with a qualitative approach. The data used are primary and secondary data obtained from verses of the Qur'an and the Hadith, books and journals, articles, and mass media, both print and electronic, related to the focus of the problem being studied in this research. The data analysis technique used in this research is the Miles and Huberman analysis model, using data reduction, data presentation, and drawing conclusions. The results of the study indicate that the Samsarah contract is a solution to dropship transactions. The original law is permissible or permissible if carried out in accordance with Islamic provisions.

This study examines the influence of e-commerce developments on the consumption patterns of Generation Z in Indonesia, the first generation to grow up in the digital era with widespread access to technology, the internet, and social media. Using a literature review method and a qualitative descriptive approach, this study analyzes various factors influencing Gen Z's consumption behavior through e-commerce platforms such as Shopee, Tokopedia, and TikTok Shop. The findings indicate that easy access, attractive promotions such as flash sales, and interactions through social media encourage impulsive consumer behavior. However, e-commerce also has a positive impact in the form of opportunities for the development of digital MSMEs that empower the younger generation economically. Furthermore, the COVID-19 pandemic has accelerated the adoption of online shopping, changing consumption patterns and opening new opportunities for MSMEs. The main challenge faced is the risk of impulsive buying, which can lead to financial and mental health problems. Therefore, financial literacy education and digital marketing regulations are essential to shaping healthy and sustainable consumption patterns for Generation Z. This study provides insights for the government, business actors, and the public in optimizing the benefits of e-commerce while minimizing its negative impacts.  

Penelitian ini bertujuan untuk merancang dan merealisasikan antena mikrostrip patch berbentuk segitiga (triangular) yang bekerja pada frekuensi 1800 MHz, sebagai penguat jaringan internet di kawasan Kebun Raya Balikpapan. Lokasi tersebut diketahui memiliki kualitas sinyal yang kurang baik untuk beberapa provider. Antena yang dirancang menggunakan dua konfigurasi, yaitu MIMO 8x8 dengan teknik pencatuan langsung dan array 8x1, yang kemudian disimulasikan menggunakan CST Studio Suite 2019 dan diuji performansinya menggunakan metode Speedtest. Hasil simulasi menunjukkan bahwa antena 8x8 memiliki nilai VSWR sebesar 1,50, return loss -12,96 dB, dan gain 4,06 dBi dengan pola radiasi omnidirectional. Sementara itu, konfigurasi 8x1 array menunjukkan nilai VSWR 1,24, return loss -19,21 dB, dan gain 6,46 dBi, juga dengan pola radiasi omnidirectional. Hasil pengujian di lapangan dengan tiga kondisi tanpa antena eksternal, antena MIMO dan antena array 8x1 didapatkan hasil bahwa antena array 8x1 memberikan kecepatan unduh tertinggi mencapai 17,227 Mbps, unggah 4,072 Mbps, Jitter 34,9 ms  dan packet loss 14,18 % sedangkan antena MIMO 8x8 memberikan kecepatan unduh tertinggi mencapai 13,77 Mbps, unggah 2,462 Mbps, Jitter 49,9 ms  dan packet loss 18,43%. Kesimpulannya, kedua jenis antena eksternal yakni MIMO 8x8 dan array 8x1 mampu meningkatkan performa jaringan secara signifikan dan dapat menjadi solusi efektif untuk daerah dengan sinyal lemah. Antena ini diharapkan dapat memberikan kontribusi terhadap akses internet yang lebih stabil di area public yang sangat luas.

Energy efficiency in water heaters is a crucial factor in ship operational environments due to limited electricity resources that rely on generators. This study aims to design and build an IoT-based water heater monitoring system with an innovative heat storage medium in the form of a mixture of silica sand and paraffin wax to improve thermal efficiency. Although previous studies have developed temperature monitoring and control systems in IoT-based water heaters, this study specifically fills this gap by analyzing the performance of adding silica sand to overcome the low thermal conductivity of paraffin wax. Using the Research and Development (R&D) method, this system was built with an ESP32 microcontroller as the control center, a DS18B20 temperature sensor for accurate measurements, and the Blynk and Google Sheets platforms for real-time monitoring and data recording. Performance testing was conducted by comparing the water heating rate between pure paraffin wax media and the mixed media. The results showed that the monitoring system functioned reliably, and the main finding proved that the addition of silica sand to paraffin wax significantly increased heating efficiency. This was clearly seen from the reduction in time required to raise the water temperature to 40°C, from 2.5 hours to only 1 hour in the second heating cycle. The results of this study indicate that the integration of silica sand and paraffin wax media with IoT technology can increase the efficiency of water heaters and provide an innovative solution for energy-efficient and environmentally friendly temperature control.

The integration of the Internet of Things (IoT) into the Web of Things (WoT) offers cross-platform interoperability but presents significant security challenges for constrained devices. This study aims to evaluate the effectiveness and efficiency of security mechanisms in three major WoT protocols: HTTP, CoAP, and MQTT. The research methodology employs a Systematic Literature Review (SLR) following PRISMA guidelines, reviewing 22 selected articles published between 2020 and 2025. The analysis utilizes PICOC criteria to compare communication overhead, computational consumption, and security mechanisms such as DTLS, OSCORE, and TLS integration. The results indicate that CoAP, combined with OSCORE and EDHOC mechanisms, provides the optimal balance between energy efficiency and end-to-end security for resource-constrained devices. MQTT demonstrates superiority in throughput and data transmission speed but requires additional security layers to ensure data confidentiality. Meanwhile, HTTP dominates in terms of Web service integration and access control, despite having the highest overhead burden. In conclusion, no single protocol is superior for all scenarios; the choice of protocol in WoT architecture must be based on the trade-offs between latency, resource efficiency, and system security requirements

The advancement of information technology today has provided great benefits in the world of education. The construction of computer-based academic information system websites is part of the use of information technology. With information technology, it is possible for academic databases to be processed quickly and easily, so that in the presentation of the required academic information reports can be obtained precisely, quickly, and efficiently. SMP Negeri 2 Wewewa Utara already has sufficient information technology infrastructure, but it has not been used optimally in academic management. The school already has a computer lab and internet access, but academic data management is still carried out manually using a ledger and Microsoft Excel application. To address issues such as unintegrated student data, complex and time-consuming grade management processes, delivering academic information, and monitoring student learning progress, an academic information system is needed. The purpose of developing this system is to solve the problems contained in the previous system by creating an academic information system at SMP N 2 Wewewa Utara. With the implementation of the new system at SMP N 2 Wewewa Utara, the knowledge and skills of employees, teachers, and principals in the field of web-based academic information systems can be improved. In the development of the academic information system that will be included in the system, it includes information about students, subjects, student classes, classrooms, teachers, homeroom teachers, and student score reports. The software used is DBMS (Database Management System), while the data storage medium is MySQL and PHP as a Programming Language.

The economic empowerment of the congregation is also part of the church's duties and callings, the church is not limited to spiritual strengthening but also about the real life of the congregation. For this reason, this study aims to find strategies that can be carried out by the Toraja church, the Banula congregation, in increasing the potential for economic empowerment within the congregation. To achieve this purpose, the author uses a qualitative research method with a literature study and social analysis model. The literature study was obtained from secondary data originating from books, articles/journals and relevant internet sources. Meanwhile, data obtained from the field is primary data based on observation and interviews. The theory used in this study is about empowerment, the theory of strategy and the theory of leadership. The results of the study are that the church has begun the foundation in economic empowerment and will continue to be improved to the next stage. Considering the natural potential and individual potential in the Toraja church, the Banula congregation is quite important to be developed.