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Afrianto, A., Parjito, P., Rahma, E. A., & ... (2023). Rintisan desa cerdas: Penguatan literasi digital bagi Karang Taruna Neba. Prosiding Seminar.... https://e-journal.unmas.ac.id/index.php/senadiba/article/view/8417 Akbarinasasi, A., & Panduwinata, L. F. (2023). Pengaruh pengetahuan kewirausahaan, social skill, dan peluang usaha terhadap keberhasilan usaha angkringan. Nomicpedia: Journal of .... https://journal.inspirasi.or.id/nomicpedia/article/view/232 Anisti, A., Sidara, S., Veranus, V., & Imran, M. S. (2024). Tantangan literasi digital generasi Z: Kajian systematic literature review. Media Bahasa, Sastra, dan Budaya Bahana, 30(2), 152–161. https://doi.org/10.33751/wahana.v30i2.11870 Aribawa, D. (2016). Pengaruh literasi keuangan terhadap kinerja dan keberlangsungan UMKM di Jawa Tengah. Jurnal Siasat Bisnis, 20(1), 1–13. https://doi.org/10.20885/jsb.vol20.iss1.art1 Erstiawan, M. (2021a). Good corporate governance penyelenggara pendidikan dalam perspektif agency theory. Majalah Ekonomi, 26(1), 40–51. https://doi.org/10.36456/majeko.vol26.no1.a3952 Erstiawan, M. (2021b). Kepatuhan emiten dalam taksonomi extensible business reporting (XBRL). CAPITAL: Jurnal Ekonomi dan Manajemen, 5(1), 71–85. https://doi.org/10.25273/capital.v5i1.10308 Erstiawan, M. S. (2024). Menggali potensi diri bisnis santripreneur berbasis bimbingan teknis. ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat, 2(4), 11–18. https://doi.org/10.61434/adima.v2i4.238 Erstiawan, M. S., & Y. R. (2022). Implikasi corporate social responsibility dalam perspektif akuntansi pada subsektor telekomunikasi. Jurnal Sosial Sains, 2(2), 385–396. https://doi.org/10.36418/sosains.v2i2.343 Erstiawan, M. S., et al. (2021). Efektivitas strategi pemasaran dan manajemen keuangan pada UMKM roti. Dikemas, 5(1), 57–61. https://doi.org/10.32486/jd.v5i1.574 Hodsay, Z. (2021). Pengaruh manajemen keuangan keluarga dan hasil belajar kewirausahaan pada era pandemi Covid-19 terhadap motivasi berwirausaha. Jurnal Neraca: Jurnal Pendidikan dan Ilmu Ekonomi Akuntansi, 5(1), 91–103. https://doi.org/10.31851/neraca.v5i1.5890 Kartini, T. M., Suhendra, S., Tan, E., & ... (2024). Pelatihan pengelolaan SDM di era digital pada Karang Taruna dan usaha kecil di Provinsi Jawa Barat. SABAJAYA Jurnal .... https://journal.sabajayapublisher.com/index.php/jpkm/article/view/346 Mendari, A. S., & F. S. (2019). Hubungan tingkat literasi dan perencanaan keuangan. Jurnal Moduk, 31(2), 227–240. Naufal, H. A. (2021). Literasi digital. Perspektif, 1(2), 195–202. https://doi.org/10.53947/perspekt.v1i2.32 Nurcahyawati, V., Wulandari, S. H. E., & Sutomo, E. (2020). Penerapan urun daya berbasis internet untuk pemenuhan bahan baku pada usaha kecil menengah (UKM) batik Sidoarjo dan UKM Mekar Sari Surabaya. Jurnal Pengabdian Kepada Masyarakat, 26(2), 84. https://doi.org/10.24114/jpkm.v26i2.16829 Oetama, S. (2022). Orientasi kewirausahaan terhadap keunggulan dalam bersaing. Google Books. https://books.google.com/books?hl=en&lr=&id=L1h-EAAAQBAJ Poerna Wardhanie, A., Naufal, A. Z., & Eko Wulandari, S. H. (2021). Perancangan strategi digital marketing dengan metode RACE pada layanan online food delivery berdasarkan perilaku pelanggan generasi Z. Journal of Technology and Informatics (JoTI), 3(1), 1–11. https://doi.org/10.37802/joti.v3i1.187 Rahmawati, E., Wardhanie, A. P., Wulandari, S. H. E., & Effendi, P. M. (2023). Pelatihan perancangan prototype aplikasi pemasaran untuk mendukung keikutsertaan Gen Z pada festival inovasi dan kewirausahaan siswa Indonesia (FIKSI). Jurnal Abdi Insani, 10(2), 1002–1011. https://doi.org/10.29303/abdiinsani.v10i2.939 Rinaldi, M., & Ramadhani, M. A. (2024). Peningkatan literasi perpajakan dalam kalangan UMKM: Langkah menuju kemandirian finansial. Eastasouth Journal of Effective Community Services, 2(03), 158–169. https://doi.org/10.58812/ejecs.v2i03.240 Sagirani, T., Effendi, P. M., Erstiawan, M. S., Eko Wulandari, S. H., & Rahmawati, E. (2025). AI untuk siswa: Pendekatan experimental learning dalam pengenalan artificial intelligence di tingkat SMA. Jurnal Pengabdian Masyarakat (ABDIRA), 5(3), 1014–1025. https://doi.org/10.31004/abdira.v5i3.846 Sagirani, T., Nugroho, L. E., Santosa, P. I., & Kumara, A. (2015). User experience model in the interaction between children with special educational needs and learning media. 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 72–75. https://doi.org/10.1109/ICITACEE.2015.7437773 Septiani, R. N., & W. E. (2020). Pengaruh literasi keuangan dan inklusi keuangan terhadap kinerja UMKM di Sidoarjo (Doctoral dissertation, Udayana University). https://doi.org/10.24843/EJMUNUD.2020.v09.i08.p16 Slamet, S., & Sagirani, T. (2024). Peningkatan kesiapan kerja siswa SMK melalui pengembangan soft skills di SMKN 1 Sambeng Lamongan. Tekmulogi: Jurnal Pengabdian Masyarakat, 4(2), 79–90. Soebijono, T., & E. M. (2020). Peranan revolusi industri 4.0 terhadap mutu pendidikan sekolah menengah kejuruan jurusan akuntansi. Jurnal Bisnis Perspektif, 12(2), 115–122. https://doi.org/10.37477/bip.v12i2.97 Wardhanie, A. P., Kartikasari, P., & Wulandari, S. H. E. (2019). Analisis penggunaan media internet pada usaha mikro kecil menengah (UMKM) Jawa Timur untuk menembus pasar global dengan metode O2O. Jurnal Bisnis Terapan, 3(02), 179–188. https://doi.org/10.24123/jbt.v3i02.2513 Wulandari, S., & Rahmah, M. (2020). A survey on crowdsourcing awareness in Indonesia micro small medium enterprises. IOP Conference Series: Materials Science and Engineering, 769, 012016. https://doi.org/10.1088/1757-899X/769/1/012016

Electronic Medical Records (EMR) are medical records compiled and stored through an electronic system used to support the provision of healthcare services. The implementation of EMR facilitates faster, more practical, and integrated patient data recording. Electronic Medical Records (EMR) are designed to improve the efficiency, accessibility, and accuracy of patient information within healthcare institutions. This study used a qualitative descriptive approach with a case study design through interviews to assess the readiness of EMR implementation in terms of the 5M management aspects (Man, Money, Material, Machine, Method) at Muhammadiyah General Hospital, Ponorogo Regency. The study sample consisted of 27 healthcare workers selected using a purposive sampling technique. The case study design allowed researchers to capture in-depth insights from healthcare workers directly involved in EMR implementation. The results showed that from the Man element, most healthcare workers were ready to use EMR, as indicated by their comfort and skills in operating the application. In the Money element, there is a system maintenance budget and support for EMR development in the inpatient unit and the Emergency Room. The Material element indicates the availability of adequate software, while the Machine element includes computer devices, internet connections, and a stable server to support users. These technological resources ensure a user-friendly and reliable system. The final element, Method, is demonstrated by the existence of clear SOPs and workflows, enabling healthcare workers to understand and effectively follow the EMR implementation process. Overall, the findings indicate that the hospital is institutionally prepared for EMR adoption.    

This study investigates KIDI IoT, an educational service by PT Telkom Indonesia designed to bridge the skills gap between Vocational High School (SMK) graduates and the demands of the Industry 4.0 workforce. The primary objective was to assess the extent to which the KIDI IoT service fulfilled the requirements of educators and learners to substantiate its value proposition. A qualitative, exploratory methodology was employed utilizing in-depth interviews and the Value Proposition Canvas (VPC) framework for analysis. The outcomes demonstrate how effectively the program's project-based, experiential approach increases user motivation and offers a practical, industry-relevant learning environment. The service successfully generates the desired customer benefits. A major customer pain point that the current model ignores is that participants often expressed that the two-day offline training period was insufficient to help them master the material or build their confidence for working independently. This led to a significant misalignment. The KIDI IoT value proposition is fundamentally strong and well-regarded; however, the study concludes that its implementation necessitates improvement, particularly through the provision of more specialized teacher training and an extended training duration, to ensure sustained impact and skill acquisition.

Wireless Medical Sensor Networks (WMSNs) are a key component of modern Healthcare Internet of Things (IoT) systems, enabling continuous and real-time monitoring of patients’ physiological parameters. These networks support timely medical intervention, improve patient outcomes, and facilitate remote healthcare delivery. However, due to the open and resource-constrained nature of WMSNs, they are highly susceptible to various security threats, particularly during the authentication phase. Existing authentication protocols have been found vulnerable to a range of attacks, including impersonation, session key disclosure, and gateway database compromise, which can lead to severe privacy breaches and potentially life-threatening situations. To address these issues, this paper proposes a secure and lightweight three-factor authentication protocol tailored for WMSNs in healthcare IoT environments. The proposed protocol integrates Elliptic Curve Cryptography (ECC) for strong public key-based security with minimal computational overhead, fuzzy extractors to securely handle biometric information and ensure resistance against biometric template compromise, and session-based randomness to achieve forward secrecy and prevent replay or key-compromise impersonation attacks. Security analysis demonstrates that the proposed protocol successfully mitigates prominent threats such as impersonation attacks, man-in-the-middle attacks, session key leakage, and database compromise. In addition, the protocol ensures mutual authentication between the user, the gateway, and the sensor nodes, while maintaining data confidentiality and integrity. Performance evaluation indicates that the protocol offers significantly reduced computational cost and communication delay compared to existing schemes. Its low energy consumption and minimal storage requirements make it suitable for deployment in resource-constrained medical devices and large-scale IoT healthcare networks. The results highlight the protocol’s scalability, energy efficiency, and robustness, making it a practical and secure solution for safeguarding patient data and ensuring trustworthy communication in WMSNs-based healthcare IoT systems.

This study investigates the adoption of Electronic Medical Records (EMR) by registration staff at Tangkiling Health Center, Palangka Raya, using the Technology Acceptance Model (TAM) framework. Out of 61 total healthcare workers, five medical record staff with educational backgrounds in midwifery, nursing, dental nursing, and non-medical high school were purposively selected as research participants. The study employed a qualitative descriptive method, combining in-depth interviews and direct field observations. Results indicate that while the staff acknowledged the usefulness of EMR in improving service efficiency and data accessibility, several barriers hindered its effective use—primarily a lack of training, limited digital literacy, unstable internet connectivity, and inadequate hardware such as computers and printers. Observations showed that only the registration unit had a single shared computer, while other units like outpatient clinics, pharmacy, and cashier still relied on manual documentation. This fragmentation has led to duplicate workloads and disrupted patient data continuity. Despite these challenges, the staff demonstrated a positive attitude and strong behavioral intention to adopt EMR if provided with sufficient infrastructure and regular training. The study concludes that successful EMR implementation in primary healthcare requires not only user acceptance but also institutional readiness, adequate resources, and integrated systems across all service units.

Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current flow to three distinct electrical appliances. The data gathered is transmitted to a web application utilizing the k-Nearest Neighbor (k-NN) algorithm to forecast future electricity usage based on historical patterns. We evaluated the system's performance using four weeks of electricity consumption data. The results indicated that predictions were most accurate when the user’s daily consumption pattern remained stable, achieving a Mean Absolute Error (MAE) of approximately 1 watt and a Mean Absolute Percentage Error (MAPE) ranging from 1% to 1.7%. Additionally, predictions were notably precise during the early morning hours (3:00 AM to 8:00 AM) when k=6 was employed. This study demonstrates the effectiveness of integrating IoT-based systems with machine learning for real-time energy monitoring and forecasting. Furthermore, it emphasizes the application of data mining techniques within embedded IoT environments, providing valuable insights into the implementation of lightweight machine learning for smart energy systems.

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.

Environmental health risks, including air pollution, unsafe water, and climate-sensitive diseases, remain pressing global challenges that continue to threaten public well-being. Conventional monitoring systems are typically manual, costly, and geographically limited, making it difficult to provide timely and accurate data for intervention. This study explores how digital health technologies—specifically mobile health (mHealth), the Internet of Things (IoT), artificial intelligence (AI), and remote sensing—are applied to strengthen the monitoring and management of environmental health risks. A structured literature review was carried out by synthesizing 87 peer-reviewed articles published between 2013 and 2024, using an evaluation framework built on keyword clustering, metadata filtering, and multi-criteria scoring to assess usability, scalability, interoperability, and relevance to health outcomes. Findings show that mHealth platforms are highly accessible and user-friendly but often face limitations in integration with broader health systems. IoT and AI technologies offer strong scalability and predictive capability, particularly in real-time risk detection, though they are hindered by interoperability issues across platforms. Meanwhile, remote sensing is powerful for capturing large-scale environmental data but lacks direct connections to health-specific applications. The analysis identifies a critical gap in the integration of these technologies, emphasizing the need for cross-sector collaboration to build more robust, interoperable systems. Additionally, the findings highlight the importance of ethical considerations, validation processes, and interdisciplinary approaches to ensure sustainable and impactful implementation. Overall, this study provides not only a comparative synthesis of current practices but also a methodological roadmap to guide future digital innovations in environmental health. By bridging technological potential with practical application, it underscores the urgent need for integrated strategies that can better address the growing complexity of environmental health risks in the modern era.

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.

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.

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.

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.

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.

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

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.    

Currently, the digital era has penetrated most sectors of humanity, where one of the people who are penetrated is the Indonesian people. Data shows that internet users in Indonesia have reached 221 million, equivalent to 79.5 percent of Indonesia's total population. Indonesia is one of the countries with the largest number of internet users in the world. Some of them are the use of Artificial Intelligence in driving, in digital marketplace services, and in responding to consumer complaints. However, these things are not entirely free from the potential adverse risks that can befall consumers. So far, the Indonesian Positive Law regulation has not yet reached the regulation of the impact of potential adverse risks to consumers who use products containing Artificial Intelligence. On the other hand, the European Union has already regulated the impact of adverse risks in the use of Artificial Intelligence. Therefore, this research will try to adopt the norm from the European Union and initiate it as an answer to the regulation of the impact of risks in the utilization of Artificial Intelligence in the perspective of Indonesian Law.

This study aims to analyze the implementation of online attendance systems in enhancing employee discipline at the Bali Province Regional Revenue Agency. Employing a descriptive qualitative approach, data were collected through observation, interviews, and documentation, and analyzed using George C. Edward III’s implementation theory, which encompasses four key indicators: communication, resources, disposition, and bureaucratic structure. The findings reveal that communication has been effective, characterized by clear and consistent information delivery, thereby reducing employee resistance. While human and financial resources are adequate, the limited availability of supporting facilities hinders optimal implementation. In terms of disposition, employees demonstrate strong commitment and integrity in utilizing the attendance application. The bureaucratic structure has also been appropriately followed, aligning with the usage guidelines set by the Bali Province Office of Communication, Informatics, and Statistics. The study recommends improvements such as enhancing internet infrastructure, increasing supporting facilities, and providing printed user manuals to optimize the implementation of the online attendance system.

Reliable internet connectivity is a crucial element in supporting work effectiveness at the Central Bureau of Statistics (BPS) in Central Lombok. However, users of the internal WiFi network have reported various issues, including inconsistent speed and weak signal stability. This study aims to analyze user satisfaction with the WiFi network services using the Servqual method, which assesses service quality based on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A quantitative approach was employed by distributing questionnaires to employees and staff who utilize the network. Data analysis was conducted by measuring the gap between users’ expectations and their perceptions of the service quality. The results show that most dimensions experienced a negative gap, particularly responsiveness (-0.47) and tangibles (-0.40), indicating inadequate response speed and suboptimal infrastructure conditions. Conversely, assurance (+0.40) and empathy (+0.27) showed positive gaps, reflecting users’ trust in the competence of IT staff and their perceived attentiveness. These findings highlight the need for technical evaluations, infrastructure improvements, and capacity building of human resources through regular training. This research contributes to the understanding of information technology service quality in the public sector and provides a foundation for strategic decision-making to enhance digital services. Moreover, the study encourages further research using mixed methods to gain a more comprehensive understanding of user satisfaction with WiFi services in government institutions.

This study aims to design and develop a pipeline leakage detection system based on the Internet of Things (IoT) that provides real-time notifications and determines the location of leaks with high accuracy. Pipeline leakage is a serious issue, as it can lead to water wastage, environmental damage, and high maintenance costs. Therefore, a system that can detect leaks quickly and accurately is crucial for improving the efficiency of pipeline infrastructure management. The system developed in this study uses an ESP32 microcontroller, Waterflow sensor, and GPS module. The ESP32 microcontroller serves as the central processing unit that processes the data received from the Waterflow sensor and the GPS module. The Waterflow sensor detects changes in water flow that indicate a leak in the pipeline. When an abnormal reduction in flow is detected, the sensor sends a signal to the microcontroller. The GPS module then provides location coordinates, pinpointing the exact location of the leak, allowing the maintenance team to quickly address the issue. Additionally, the system is integrated with the Blynk application, which enables remote monitoring through a mobile device. The Blynk application provides a user interface that facilitates the monitoring of pipeline status and delivers notifications whenever a leak is detected. Testing results show that the IoT-based leakage detection system is capable of identifying leaks and sending real-time information with good accuracy. With this system, the process of identifying and addressing pipeline leaks can be done faster and more efficiently, ultimately reducing the losses caused by leakage. The system also offers a more effective solution for pipeline maintenance, improving the reliability of water distribution systems and reducing water resource wastage.

Computer networks have become an important need for a company. At the moment. Because the wifi network contains the internet which plays a role in data transfer and communication to support the operations of the PT company. Muaratoyu Subur Lestari (PT.MSL) as a company operating in the palm oil sector relies heavily on the internet to increase company productivity. Every day, employees always report data to the head office. In uncovering the problem, researchers built a network using Cambium Access Points to improve connectivity and internet access in an area. Cambium Networks, as a leading network solutions provider, offers advanced technology to build reliable and efficient networks. This research focuses on implementing Cambium Access Points in a local network environment, with the aim of increasing internet access coverage and speed. Research methods include field surveys, analysis of user needs, and selection of devices that suit environmental characteristics. Implementation steps include configuring the Access Point, determining the location of the equipment installation strategy, and setting network parameters. Regular performance monitoring also ensures network stability and permissions. The research results show a significant increase in area coverage and signal quality, as well as an increase in internet access speed. Additionally, Cambium's Access Point solution proved reliable and easy to manage, making a positive contribution to employees in the mess through better access to information and online resources. This research provides an in-depth look at the potential of Cambium Access Point technology in supporting the development of reliable and efficient networks