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The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.

The development of information and communication technology has changed the global trade landscape, including in Indonesia. The city of Pekanbaru as the capital of Riau Province has great potential in the development of e-commerce that is integrated with the concept of a smart city. This research aims to analyze the optimization of e-commerce through the implementation of the smart city concept in Pekanbaru. Using a qualitative approach and secondary data analysis, this study examines technological infrastructure, government policies, and community participation in supporting the e-commerce ecosystem. The results show that the implementation of the smart city concept can improve the effectiveness of e-commerce platforms through improved digital connectivity, integrated payment systems, and more efficient logistics services. The adoption of technologies such as big data, Internet of Things (IoT), and geographic information systems (GIS) also supports more responsive decision-making, both by business actors and government agencies. In addition, the involvement of local MSMEs is an important component in expanding the adoption of e-commerce in an inclusive and equitable manner throughout the city. This research also highlights the importance of digital literacy among the public, including micro business actors, to optimize the use of digital technology in business transactions. The local government is expected to strengthen regulations, provide supporting infrastructure, and open cross-sector collaboration to accelerate digital transformation in Pekanbaru. A sustainable education strategy for the community is also needed through training, digital socialization, and technical support so that all levels of society can actively participate in the digital ecosystem. Thus, synergy between the government, business actors, academics, and the community is the main key in creating an adaptive, efficient, and sustainable digital ecosystem, as well as making Pekanbaru a smart city that excels in the field of electronic commerce.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

The use of social media has become an inseparable part of daily life for Indonesian teenagers. Platforms such as Instagram, TikTok, and WhatsApp are widely used for communication, self-expression, entertainment, and information. However, behind these benefits lie significant negative impacts, particularly the rise of juvenile delinquency and digital violence. Phenomena such as cyberbullying, the spread of negative content, hoaxes, hate speech, and online exploitation are increasingly prevalent. Data from GoodStats and the 2024 National Survey on the Life Experiences of Children and Adolescents (SNPHAR) reveal high rates of violence experienced and perpetrated by teenagers in digital spaces. Furthermore, reports from the Indonesian Child Protection Commission (KPAI) show a yearly increase in cases of juvenile misbehavior linked to social media usage. This study employs a descriptive quantitative approach using secondary data from KPAI, GoodStats, and SNPHAR. The objective is to identify various forms of juvenile delinquency triggered by social media use and to explore both existing and potential strategies for prevention. The analysis indicates that low levels of digital literacy among teenagers, weak parental supervision, and the influence of social media algorithms that often amplify extreme content are major contributing factors to deviant behavior. This research emphasizes the importance of collaborative efforts among families, schools, the government, and digital platforms to create a safe and healthy digital environment for teenagers. Comprehensive digital literacy education, character development, stronger child protection regulations on the internet, and increased parental involvement are key strategies that need to be strengthened. Through an integrated approach, it is hoped that the risks of delinquency and digital violence can be minimized, enabling Indonesian youth to grow into a generation that is intelligent, critical, and responsible in their use of social media.

This study analyzes the opportunities and challenges in implementing digital payment systems to enhance the productivity of Micro, Small, and Medium Enterprises (MSMEs). In the era of growing digital transformation, the adoption of cashless transactions has become a crucial innovation to improve efficiency and competitiveness among MSME players. The findings indicate that the use of digital payment platforms such as QRIS, bank transfers, e-wallets, and card-based e-money offers several advantages, including faster payment processing, reduced risk of calculation errors, and the minimization of counterfeit money usage, which remains an issue in some regions. However, the implementation of digital payments still faces various obstacles on the ground. Certain sectors of MSMEs continue to rely heavily on cash transactions, especially in remote areas where internet connectivity is limited. Furthermore, many business owners still prefer conventional payment methods due to concerns over trust, security, and deeply rooted habits. Demographic factors also influence the level of digital payment adoption. Younger generations tend to be more adaptive to digital technologies, whereas older business owners are generally less familiar and comfortable with using digital devices. These findings suggest that in order to fully leverage the benefits of payment digitalization among MSMEs, strategic efforts are needed. These should include the improvement of digital infrastructure, widespread education and awareness programs, and the development of applications tailored to the specific needs and characteristics of each business sector. Collaboration between the government, financial institutions, and digital service providers is essential in creating an inclusive and user-friendly digital payment ecosystem. By addressing technical barriers and bridging digital literacy gaps, the implementation of digital payments holds significant potential to drive operational efficiency and sustainably boost the productivity of MSMEs.

This community service activity aims to strengthen the character development of elementary school students through training in creating digital applications using the Thunkable platform. In the midst of the digital era and the challenges of the Industrial Revolution 4.0, character education is an essential aspect that must be instilled from an early age, alongside cognitive competence. Elementary schools, as the foundation of education, play a strategic role in shaping children’s personalities, including embedding positive character values. This activity was conducted at SD Moria in Sorong City and involved 24 students from grades 5 and 6, selected based on their interest and readiness. The training used a Project-Based Learning approach, where students were actively engaged in creating simple application projects. Throughout the process, students not only learned basic programming skills using Thunkable but also developed key values such as teamwork, responsibility, independence, creativity, and curiosity. Despite facing challenges such as limited devices and internet access, the students demonstrated remarkable enthusiasm. Thunkable proved to be an effective tool for interactive and enjoyable learning. Students were able to directly develop their creative ideas through designing user interfaces and application functions. This provided a meaningful learning experience that motivated students to continue exploring and trying new things. The activity showed that technology-based learning can serve as a strategic means to holistically shape students' character. Overall, this initiative demonstrated that digital application development training can serve as a character education model based on technology that is highly relevant for elementary education. This program is expected to serve as an educational innovation example that encourages the integration of digital literacy and character education in Indonesian elementary schools.

Pemantauan suhu dan kelembaban secara real-time merupakan kebutuhan penting dalam berbagai bidang, seperti kesehatan, pertanian, industri, dan pengelolaan lingkungan, guna menjaga stabilitas kondisi ruangan dan mencegah kerusakan pada peralatan elektronik. Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring suhu dan kelembaban berbasis mikrokontroler ESP32 dengan sensor DHT22. Sistem dirancang untuk menampilkan data secara langsung melalui layar OLED dan aplikasi Blynk sehingga memungkinkan pemantauan jarak jauh secara real-time. Penelitian ini menggunakan metode eksperimen dengan pengujian pada dua skenario, yaitu ruang tertutup dan area terbuka, dengan titik kendali kelembaban relatif (RH) sebesar 65%. Hasil pengujian menunjukkan bahwa sistem mampu bekerja secara efektif dalam kondisi ruang tertutup, di mana kelembaban meningkat dari 54,5% menjadi 65% RH dalam waktu 10 menit dan kemudian dapat dipertahankan stabil melalui mekanisme kendali otomatis. Namun, pada area terbuka, sistem tidak menunjukkan peningkatan kelembaban yang signifikan karena adanya sirkulasi udara bebas yang mempercepat dispersi uap air. Dengan demikian, dapat disimpulkan bahwa sistem monitoring berbasis ESP32 ini efektif digunakan pada ruang dengan kondisi lingkungan yang terkontrol, serta memiliki potensi untuk dikembangkan lebih lanjut pada aplikasi rumah pintar (smart home) dan sistem industri berbasis Internet of Things (IoT).

The transformation of education in the digital era demands inclusive, creative, and relevant learning innovations in line with technological developments. To address these challenges, utilizing digital platforms is a strategic step in driving the digitalization of education. One innovative solution that is becoming widely used is no-code platforms like Thunkable, which enable users, including students, to create applications without having to master complex programming. This article reviews the results of a community service activity conducted at SMA Negeri 2 Sorong City, focusing on improving digital literacy and strengthening 21st-century skills through training in creating educational applications based on Thunkable. This activity utilized experiential learning and project-based learning approaches, implemented through hands-on training, interactive demonstrations, independent practice, and participatory evaluation. This training not only targeted students as the primary participants but also involved teachers as facilitators who accompanied the learning process and encouraged the application of training outcomes in classroom activities. Evaluation results showed a significant increase in student enthusiasm, critical thinking skills, and creativity in designing simple educational applications tailored to learning needs and local contexts. Despite obstacles such as limited digital devices and uneven internet access, this activity still succeeded in creating an innovative and transformative learning space. Furthermore, this training makes a significant contribution to supporting the implementation of the Pancasila Student Profile, particularly in the areas of digital literacy, independence, mutual cooperation, and creativity. It also serves as an effective means to instill the value of digital responsibility and foster a learning culture that is adaptive to technological change. The success of this program demonstrates that a simple yet applicable technology-based approach like Thunkable can be replicated in other schools, particularly in the 3T (disadvantaged, frontier, and outermost) regions, with the support of structured and collaborative training.

This community service initiative was designed to improve the digital competence of the PKK (Family Welfare Empowerment) group in Simogirang Village, Prambon Sub-district, Sidoarjo Regency, with a focus on utilizing social media and internet-based tools to optimize the branding of local UMKM (Micro, Small, and Medium Enterprises) products. The program adopted an andragogical approach that emphasizes adult learning, integrating methods such as direct instruction, hands-on demonstrations, and guided simulations. Key digital platforms including Instagram, WhatsApp Business, Google Docs, and Google Drive were introduced and practiced during the sessions. A total of 40 participants took part in the training. Evaluation results indicated that 85% of the participants successfully mastered the digital branding techniques, achieving over 85% accuracy in practical exercises. This achievement was evidenced by the creation of functioning business accounts, digital catalogs, and various forms of promotional content tailored to their UMKM products. The implementation of these digital tools led to a noticeable increase in consumer engagement and demand for village products, particularly cassava chips and handmade crafts, signifying a positive impact on local economic activities. To ensure long-term benefits and continuous improvement, a dedicated WhatsApp group was established as a support forum for participants to share experiences, ask questions, and receive guidance post-training. Despite its success, the initiative faced challenges related to unstable internet infrastructure in certain areas of the village, highlighting the need for improved digital access. In conclusion, this initiative not only enhanced the digital literacy of rural women but also contributed to their economic empowerment, aligning with broader efforts to promote smart village development and digital transformation in rural Indonesia.

The Message Queue Telementary Transport (MQTT) protocol is able to adjust the sending and receiving of messages to monitor in accordance with the user's preferences because the sending and receiving of messages is topic based on a specified topic, making it necessary to routinely monitor the condition of patients who have been diagnosed with heart problems from a distance. With the aim to perform a Quality of Service (QoS) analysis with throughput, delay, and packet loss parameters using Unshielded Twisted Pair internet transmission media (UTP) and Wireless, the goal of this research is to design and implement (MQTT) a heart rate monitoring device with an EKG module as a sensor and ESP32 as a microcontroller. On the Ubidots website, EKG signals are transmitted over the internet and shown in real time. QoS analysis is performed using the Wireshark application. Data was collected on two scenarios at intervals of 30 minutes, 1 hour, 2 hours, 5 hours, 8 hours, 12 hours, 18 hours, and 23 hours. The throughput, latency, and packet loss metrics used in this study's results cause different value variations; these are influenced by the weather, internet bandwidth, computer, and router specifications. According to testing, the tool is portable and has a 3000mAh battery, but it has the restriction that it can only be used with reliable internet and bandwidth.

Mental health is a crucial aspect of modern life, with stress and anxiety being among the most common and impactful psychological disorders. This research proposes a stress and anxiety monitoring system based on the Internet of Things (IoT), integrating biometric sensors and Deep Neural Networks (DNN) for early detection and in-depth analysis. The system is designed using MAX30102 (heart rate and SpO₂), GSR (Galvanic Skin Response), and DS18B20 (body temperature) sensors, managed by an ESP32 microcontroller and communicating through the MQTT protocol. Physiological data is collected in real-time, formatted in JSON, and transmitted to both Android and web-based applications for visualization. The DNN model is developed using the TensorFlow framework with a layered architecture and ReLU activation functions to classify four mental states: relaxed, calm, anxious, and highly stressed. The training dataset comprises both primary and secondary data, including the WESAD dataset. Model performance is evaluated through k-fold cross-validation, showing high accuracy and strong generalization capabilities. The results indicate that the integration of sensor technology and deep learning significantly improves the effectiveness of stress and anxiety detection compared to traditional methods. This system demonstrates great potential for the development of AI-based wearable devices for autonomous, real-time, and adaptive mental health monitoring. 

The coffee farming sector in Gunungmanik Village, Indonesia, plays a significant role in the local economy. However, the monitoring and management of coffee crops remain largely manual and conventional, making it difficult for farmers to respond quickly to environmental threats such as drought, pests, or sudden temperature shifts. This research presents the development of iotgm.id, a web-based monitoring system integrated with Internet of Things (IoT) devices designed to provide real-time environmental data for coffee plantations. The system measures key parameters including temperature, soil moisture, and motion detection (as a proxy for pest activity), and delivers this data via a user-friendly web interface. It also features digital farm record management, real-time alerts for abnormal conditions, and data visualization through interactive dashboards. Field testing with local farmers showed that the system improves decision-making, speeds up responses to environmental changes, and reduces the need for direct field visits. Unlike earlier systems that often required technical expertise or focused on single parameters, this system offers multi-parameter monitoring and is accessible to farmers without advanced digital literacy. The system bridges the gap between sophisticated agricultural technologies and practical field-level application. It contributes to the adoption of precision agriculture in rural areas, offering a scalable model for broader implementation in similar contexts

This study aims to analyze the role of social media as a strategic force in the campaign of legislative candidates from the Indonesian Democratic Party of Struggle (PDI Perjuangan) in the 2024 General Election. Amidst increasing internet penetration and social media usage in Indonesia, especially among the younger generation, social media has become a primary means of political communication. In this context, social media functions not only as a tool for disseminating information, but also as an interactive medium capable of shaping public perception, building political image, and significantly expanding campaign reach. This study uses a qualitative approach through literature review and content analysis of the social media accounts of several PDI Perjuangan legislative candidates, such as Ir. Bambang Wuryanto, Bagus Suryokusumo, and Muhammad Iqbal Adila. The results of the study indicate that strategic use of social media can increase political exposure and emotional closeness with constituents. Authentic, consistent content that emphasizes relevant political values has proven effective in attracting voter attention and building community engagement. Social media also allows legislative candidates to respond to current issues quickly and personally, and mobilize support more efficiently than conventional campaign methods. Thus, the findings of this study confirm that social media plays a very important role in modern political campaign strategies, and is one of the determining factors for success in legislative contests in the digital era.

This study aims to evaluate the effectiveness of the use of Canva and Nearpod digital platforms in supporting the strengthening of students' character at the elementary school level. Character education is a fundamental aspect in the formation of students' personalities who have integrity, toughness, and adaptability to the development of the times. In the digital era, interactive learning media is an important means to instill character values in a more interesting and contextual way. The method used is Classroom Action Research (PTK) which is carried out in two cycles, with the research subjects consisting of teachers, class V students, and students' parents. The learning process is designed to blend character education content with the use of Canva as a creative visual medium, as well as Nearpod as an interactive presentation tool that allows students to be active through online quizzes, assignments, and reflections. The results of the study showed a marked increase in students' learning motivation, attitude of responsibility, discipline, cooperation in groups, and the ability to make decisions independently. Parental involvement in digital learning also supports the consistency of character strengthening at home. However, the study also noted several challenges, such as the limitations of technological devices, unstable internet networks, and variations in students' and parents' digital literacy abilities. Recommended solutions include intensive training for teachers in the use of digital media, improved support facilities in schools, as well as a collaborative approach between teachers and parents. Thus, the integrated use of Canva and Nearpod not only supports mastery of academic materials, but also significantly strengthens students' character values holistically. This study is expected to be a reference in the development of digital learning innovations oriented towards character education at the elementary level.

The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

Due to the busy activities outside the home, some people do not have time or forget to water their plants, so when they return home they find that the plants have died from drought. Therefore, to overcome this problem by conducting research using Internet of Things technology. The aim of this research is to design an automatic watering tool to overcome manual watering and support learning. This prototype uses a NodeMCU ESP8266 as the main controller, a soil moisture sensor is used to read soil moisture.  Soil moisture sensors are used to detect soil moisture. If the soil humidity is below the minimum limit, the watering process will be active and the watering process will be active if the NodeMCU ESP8266 receives commands from the smartphone.

 The Karanggeneng River in Rembang Regency, Central Java, serves as the main water source for the surrounding community but is vulnerable to seawater contamination during the dry season due to decreasing river elevation. To address this issue, this study aims to design and implement a river water elevation monitoring device based on the Internet of Things (IoT) powered by a hybrid Solar Power Plant (PLTS). The device utilizes the MB7360 ultrasonic sensor connected to an ESP32 microcontroller to measure water elevation in real-time and display the data through an LCD and the Blynk application on a smartphone. The methodology includes literature review, device design, system implementation, and field performance testing. Test results show that the sensor can measure water height accurately within a range of 30 cm to 5 meters, and the PLTS system is capable of supplying the required 0.56 Watts of power. The study compared two alternative solutions and selected the ESP32-based system as the best option due to its efficiency, cost-effectiveness, and easy-to-source components. The conclusion of this research indicates that the developed device can provide accurate and continuous information, support monitoring of river conditions to prevent the risk of seawater intrusion, flooding, or drought, and has the potential to be applied as a mobile system in various other river locations across Indonesia.

A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

X Health Center has implemented EMR on SIMPUS since 2009-2010. However, from the preliminary study, it was found that there were obstacles such as network trouble, long loading when many users were pulling data on the system, and there was no SOP for down time: The purpose of this study is to analyze the implementation of Electronic Medical Records at X Health Center, Semarang City in the aspects of Human, Organization, Technology, Net-benefit.  Methods: This study used a descriptive qualitative approach with interviews, observations and documentation studies. Results: The results of research at X Health Center show that there are problems in implementing EMR at X Health Center, in the human aspect, namely system training is still given only to representative officers such as IT and SIK staff. In the organizational aspect, namely limited facilities and lack of manpower. On the technology aspect, namely internet network instability, inconsistent electricity supply and generator unpreparedness and hardware limitations. While in the net-benefit aspect, the implementation of EMR has an impact on increasing the efficiency and effectiveness of X Health Center services. Conclusion: The implementation of electronic medical records at X Health Center is not yet fully optimal, namely in the aspects of human, organization and technology.    

The digital literacy program implemented at the As'ad Islamic Boarding School in Jambi City aims to improve the digital skills of teachers and students through the use of information and communication technology, specifically Google Workspace and artificial intelligence (AI). The program consists of four training sessions that include an introduction to Google Docs, Google Sheets, Google Classroom, and the use of ChatGPT as a learning tool. This training is designed to introduce digital technology to participants who previously had limitations in using technology-based applications. Evaluation was conducted through interviews and direct observations that showed a significant improvement in the digital skills of participants, although challenges related to limited devices and internet connectivity remained major obstacles. The positive impact of this program is expected to serve as a model for the development of digital literacy in other remote areas and support the transformation of technology-based education in Indonesia.