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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

This article discusses the effectiveness of using Accurate Online software in supporting the accounting process during the implementation of the independent student internship program at PT Neo Farma Indonesia. Accurate Online as a cloud-based accounting information system is used to record financial transactions, manage stock, taxation, and prepare reports in real-time and integrated. This study uses a qualitative method through direct observation during the internship. The results of the observation show that the implementation of Accurate Online provides convenience in recording transactions, time efficiency, and strengthens the company's financial governance. Although there are technical constraints in the form of internet network quality, this does not significantly interfere with the effectiveness of the system. Thus, the use of Accurate Online is considered effective in supporting company operations and providing relevant work experience for students.

The rapid growth of RT/RW Net-based internet services among the community has driven the need for an integrated, efficient, and easy-to-use billing system. The self-help RT/RW Net model often faces challenges in terms of administrative management, especially related to customer recording, billing, and financial reporting which are still done manually. Common problems faced by partners are payment systems that have not been digitized and minimal transparency in data collection and tracking of customer transactions. The purpose of this activity is to design and implement a web-based billing application built using the Laravel framework. This application is designed to facilitate the process of managing customer bills, monitoring internet service usage, and preparing financial reports automatically and in a structured manner. The method of implementing the activity includes the system design stage, training partners in using the application, and assistance in direct implementation in the RT/RW Net operational environment. The results of the activity show that the developed system has succeeded in automating most of the billing process and increasing the efficiency of administrative management by up to 80%. In addition, this system also has a positive impact on increasing transparency and accuracy of customer data. Suggestions for further development include the addition of automatic payment features through integration with payment gateways, as well as improving the user interface to make it more responsive and user-friendly.

Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system behavior. Objective: This study aims to develop a predictive performance model for industrial mechanical systems by integrating Digital Twin technology with Physics Informed Machine Learning in order to improve monitoring accuracy and support predictive maintenance strategies. Methods: This research adopts a data driven modeling and simulation approach by developing a digital representation of an industrial mechanical system that is connected to real time sensor data. The prediction model is constructed using a Physics Informed Neural Network (PINN), which integrates operational data with physical principles governing system dynamics. The research process includes the development of a Digital Twin model, integration of sensor data, training of the PINN model, model validation using experimental data, and evaluation of prediction performance using statistical metrics. Results: The results indicate that the integration of Digital Twin technology and PINN significantly improves the prediction accuracy of industrial mechanical system performance compared with conventional simulation methods and purely data driven machine learning models. The proposed model is capable of representing system dynamics more consistently, accurately following sensor data patterns, and providing strong potential for supporting machine condition monitoring and predictive maintenance strategies in modern industrial environments.

The industrial revolution 4.0 has begun to develop in aquaculture activities by utilizing the internet of things (IoT) in the last decade. The increase in intensive shrimp farming on Bangka Island in recent years is still conventional witfar from the use of digital and internet-based technology, especially vaname shrimp farming, including the Bio Ebi Micro Pokdakan in Air Mawar Village. This activity aims to design a water quality monitoring system that can be used in vaname shrimp aquaculture ponds. The main components in designing a remote-based pond water quality monitoring system consist of sensors, processing, data transmission, data storage and display. The activity has started with the design of a water quality monitoring tool in October - November 2022 in the Instrumentation and Acoustics Section of the Marine Science Laboratory at Bangka Belitung University which is then used by partners to monitor water quality conditions in shrimp ponds at Pokdakan Mikro Bio Ebi partners

This research focuses on the development and evaluation of an Adaptive Edge-AI framework designed to optimize real-time data processing and decision-making in resource-constrained environments, specifically within smart city infrastructures. The primary problem addressed is the challenge of minimizing latency, reducing energy consumption, and ensuring the reliability of Cyber-Physical Systems (CPS) when using Internet of Things (IoT) devices. The objective of the study is to assess the effectiveness of this framework in real-world smart city applications such as traffic monitoring, environmental sensing, and smart utilities management. The proposed method integrates lightweight AI models, edge computing, and adaptive resource management techniques, including Federated Learning and Neural Architecture Search, to ensure optimal performance while addressing hardware constraints. The main findings reveal that the framework significantly improves real-time inference speed, reduces energy consumption of IoT devices, and enhances CPS reliability by minimizing communication delays and ensuring continuous system operation despite network disruptions. The application of this framework to smart transportation and urban utilities further demonstrates its potential to optimize city management processes. The study concludes that the Adaptive Edge-AI framework offers a promising solution for smart cities, enhancing operational efficiency, sustainability, and resilience. It is recommended for integration into smart city infrastructures to enable better resource management and decision-making in real-time applications.

E-Puskesmas is a solution to problems caused by manual systems. It was created to streamline the method of reporting data to the Health Office and digitize the process of providing health services to the community at the Puskesmas. In addition, the online reporting system facilitates the dissemination of information effectively and efficiently. This study aims to determine the impact of using E-Puskesmas in improving the effectiveness of health services at the Pancur Community Health Center in Tanjungpinang City. The research method used is descriptive research with a qualitative approach conducted through observation, interviews, and documentation. The results of the study indicate that the implementation of E-Puskesmas has brought significant improvements in managing patient data, appointment scheduling, and reporting processes to the Health Office. Health workers find the system beneficial for storing accurate data, reducing paperwork, and enabling faster coordination with other health facilities. However, the use of the system is still hampered by unstable or slow internet or Wi-Fi networks, which often delay data input and retrieval during busy operational hours. This issue not only reduces efficiency but also causes frustration among staff who rely on the system for daily activities. The conclusion of this study highlights that the use of E-Puskesmas is effective in supporting digital health services but remains suboptimal due to technical challenges. Improving internet connectivity is critical to ensuring seamless operation and maximizing the benefits of the system. The study recommends that the local government and relevant stakeholders enhance the quality of network infrastructure and provide regular technical support and training for Puskesmas staff. By addressing these challenges, the Pancur Community Health Center can improve the stability of its operations and ensure that the E-Puskesmas application delivers optimal results in supporting high-quality, efficient, and technology-driven health services for the community.

This study explores the development and application of a digital twin-driven cybersecurity risk assessment model for Industrial Internet of Things (IIoT) networks. The increasing complexity and interconnectivity of IIoT systems have expanded the attack surface, making them vulnerable to a wide range of cyber threats. The digital twin model addresses this challenge by creating real-time virtual replicas of physical systems, which can simulate and predict network vulnerabilities and attack vectors. The model uses machine learning algorithms and real-time data to simulate cyberattacks, including Distributed Denial of Service (DDoS), malware, and data breaches. By providing continuous monitoring and dynamic risk predictions, the digital twin model enhances the resilience of IIoT networks compared to traditional cybersecurity frameworks. The findings indicate that the model's ability to predict potential cyber threats and simulate various attack scenarios provides a more proactive and accurate approach to cybersecurity in IIoT environments. Additionally, the study highlights key mitigation strategies, including adaptive security mechanisms, real-time anomaly detection, and the use of lightweight encryption for resource-constrained devices. Despite its effectiveness, challenges such as computational requirements, integration with legacy systems, and scalability were identified. This research underscores the strategic importance of digital twin models in securing IIoT systems and advancing Manufacturing 4.0 ecosystems. Future research should focus on enhancing model accuracy, expanding its application to diverse industrial sectors, and improving interoperability with legacy systems to further strengthen the security posture of IIoT networks.

During this process of monitoring the contents (volume) of the patient's urinary catheter manually, the nurse must go around one by one to the patient's inpatient room to ensure the contents (volume) of the patient's urinary catheter. This process takes quite a long time while patients who use urinary catheters at the hospital are not small. In addition, if the patient's urinary catheter monitoring process is still done manually, sometimes the medical team or nurses often miss or forget, that the urine bag (catheter) is full. The purpose of this study is to design an Internet Of Things Based Urine Bag Monitoring. The research method used in this study was experimental. The population in this study was 65 TREM study program students with a sample of 40 respondents. Based on the average score table of the Simplicity, Interactivity and Usability surveys. The results of the score calculation using the Likert scale from the Simplicity, Interactivity and Usability factors of urine bag monitoring testing that has been carried out using questionnaires to respondents have shown a high score that is almost close to the value of 5 based on calculations carried out using the Likert scale which indicates that this urine bag monitoring tool can be well received by respondents. It is expected to be developed as material for further research related to monitoring urine bags using applications that can usealarms on users' smartphones and can also use batteries on urine bag monitoring tools

This community service program was implemented to strengthen the digital literacy and competencies of health cadres in Simogirang Village, Prambon Sub-district, Sidoarjo Regency, particularly in the recording and management of Posyandu (integrated health service post) data. The initiative responded to ongoing issues stemming from manual documentation methods, which were prone to human error, inefficiency, and lack of integration with regional health information systems. To address these challenges, the program delivered an IT-based training module using a combination of direct instruction, demonstrations, and hands-on simulations. The training emphasized the use of accessible and cost-effective tools such as Google Forms and Google Sheets, designed in alignment with the principles of adult learning (andragogy) and Kurt Lewin’s change management model to facilitate behavioral adaptation and technology acceptance among the participants. A total of 25 health cadres participated in the program. Pre- and post-training evaluations demonstrated significant improvement in digital skills, with 80% of participants achieving a minimum of 85% accuracy in completing digital forms and managing records. In addition, a prototype digital system based on Google Workspace was successfully piloted in two Posyandu locations. This system enhanced the timeliness, accuracy, and integration of health data reporting to local health centers (Puskesmas), offering a scalable and sustainable solution for grassroots healthcare data management. Despite the positive outcomes, the program also identified key challenges, notably limited internet infrastructure and varying levels of prior digital exposure among cadres. These findings underscore the need for continuous mentoring, support from local government stakeholders, and potential investment in digital infrastructure. Overall, the initiative contributes to Indonesia’s broader goals of digital transformation in public health, particularly at the village level.

The utilization of offline maps in land operations for Marine Corps soldiers is veryimportant considering that combat terrain conditions often occur in areas with limited or nointernet connection. This study aims to analyze the effectiveness of using offline maps inmonitoring land operation tactics, employing a literature review method and analysis of offlinemap technology applications that support military activities. The research results show thatoffline maps enable soldiers to plan routes, mark strategic locations, and monitor tacticalmovements in real-time without relying on internet networks. Additionally, the mappersonalization features and the ability to share data among team members enhancecoordination and operational effectiveness. Thus, the utilization of offline maps can improve thereadiness and responsiveness of Marine Corps soldiers in facing the complex and unpredictabledynamics of combat terrain

Goods distribution applications have become key in facilitating goods data management. This study explores goods distribution applications, focusing on their development, implementation, and impacts with the aim of improving the effectiveness of procurement planning and the distribution process of kaporlap. This study discusses an online database system that is integrated with the system to facilitate the distribution of kaporlap for the Indonesian Navy Academy Cadets by implementing technology. The application of advanced technologies such as the Internet of Things (IoT), and goods distribution applications provide valuable insights to the Indonesian Navy Academy to improve the kaporlap data recording system and optimize the distribution process. The emphasis on data security is also important in ensuring integrity in providing accurate data for the benefit of implementing procurement planning and distribution of kaporlap in the Indonesian Navy Academy environment according to technological developments. The use of technology in goods distribution applications is a foundation for increasing knowledge and ease in carrying out activities, especially the distribution of kaporlap. Case studies and practical implementation provide a deeper understanding of the importance of this application to be realized and used by the Indonesian Navy Academy Cadets in the form of an online database system application equipped with QR Code and smartcard features that can be used without having to use a gadget. Thus, accurate kaporlap data can be obtained to support the planning of procurement and distribution of cadet kaporlap to be practical and more effective.

This study examines the role of smart technology, particularly Artificial Intelligence (AI) and the Internet of Things (IoT), in strengthening economic resilience in the face of climate change impacts. Using a qualitative descriptive approach with a literature stufy method, secondary data was obtained from scientific journals, books, proceedings, and relevant online articles. The analysis was conducted through reduction, categorization, and thematic analysis of the relevant literature. The results show that AI contributes significantly to improving economic efficiency and risk prediction compabilities. While IoT strengthens connectivity and automation that support supply chain stability, the intregration of AI and IoT in the agricultural sector significantly increases productivity and food security. In addition, smart technology is also an effective mitigation tool against exctreme climate variations that impact the economy and society. This study emphasizes the importance of cross-sector collaboration and digital infrastructure investment to build adaptive and sustainable economic resilience. The implication of this research provide a basis for policy strategies and digital innovation in an era of increasing dynamic climate change.

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.

Responsive public service plays a crucial role in building public trust in police institutions, particularly in handling citizen complaints. This study aims to examine the responsiveness level of Mojokerto Police Resort in managing public complaints and the factors influencing it. The research adopts a qualitative descriptive approach, utilizing data collection methods such as in-depth interviews, direct observations, and document studies. Participants include officers from the Integrated Police Service Center (SPKT), Women and Children Service Unit (PPA), community members who have filed complaints, as well as community leaders and NGOs involved in overseeing public services. Data analysis was conducted using Miles and Huberman’s model, which includes data reduction, presentation, and conclusion drawing. The findings reveal a varied level of awareness among the community regarding complaint channels, as well as differences in ease of access. Physical channels such as suggestion boxes and direct reporting at police stations are more familiar and accessible but face challenges related to communication effectiveness and evidence collection. Meanwhile, online platforms like social media and the official website are less recognized by the public, compounded by limited digital literacy and internet access in certain areas. Furthermore, the complaint handling process needs to be straightforward, transparent, and professional to ensure that the community feels respected and confident in the service. Factors affecting responsiveness include response speed, ease of access across multiple channels, and the professionalism of officers handling cases. Perceptions of transparency and openness in procedures also significantly influence community trust. Strategically, Mojokerto Police Resort has made efforts to develop digital complaint systems and enhance staff capabilities. However, further improvements are necessary in community education and awareness programs to increase familiarity and confidence in digital channels. The significance of high responsiveness is reflected in its strategic benefits, such as early identification of security disturbances, strengthening police legitimacy, and improving overall public service quality. Effective responsiveness fosters better relationships between officers and the community, enhances trust, and contributes to a safer and more orderly environment. Therefore, adopting modern, innovative, and technology-based complaint systems should be prioritized to reform police services. Overall, the responsiveness of Mojokerto Police Resort’s complaint handling system serves as a key indicator for the success of quality and equitable public services. By improving officer professionalism, infrastructure, and community outreach, it is expected that Mojokerto Police can enhance responsiveness, reinforce community trust, and deliver excellent, transparent, and accountable services. Such efforts not only improve the police institution’s reputation but also strengthen democratic foundations and social justice in the Mojokerto region.    

The study aims to analyze the influence of affiliate marketing sales techniques on product selling power at Toko Pedia. In today's digital era, this technique is increasingly relevant, especially with the increasing number of internet users who prefer to shop online. This study focuses on analyzing the effectiveness of affiliate marketing techniques in increasing product sales in encouraging increased product sales volume and identifying the determining factors that influence it. This study utilizes a qualitative survey method with data collection through questionnaires distributed to affiliates.The method applied is a qualitative survey with data collection through questionnaires addressed to affiliates and consumers at Toko Pedia. The findings of this study are expected to provide important insights for business practitioners in designing more effective marketing strategies and increasing competitiveness in the digital marketplace.

The increasing demand for sustainable agricultural practices has led to the adoption of hydroponics, a method of growing plants in nutrient-rich solutions without soil. This method is particularly effective in controlled environments where resource efficiency is paramount. However, the success of hydroponic systems depends heavily on precise nutrient management, especially for micro-nutrients, which are crucial for plant health and productivity. Traditional methods of nutrient monitoring are often labor-intensive and lack the real-time responsiveness needed for optimal nutrient control. This study addresses the challenge of real-time nutrient management in hydroponic systems by developing a miniature sensor system integrated with Internet of Things (IoT) technology. The proposed system is designed to detect micro-nutrient concentrations accurately and transmit data in real-time to a cloud platform for continuous monitoring and automated control. Advanced algorithms are employed for data processing and calibration, ensuring high accuracy in detecting micro-nutrient levels. The system was tested in a controlled hydroponic environment, where it demonstrated high accuracy with minimal error margins, validated by a consistently low Mean Absolute Error (MAE). The integration of IoT allowed for seamless data transmission and real-time analysis, enabling immediate adjustments to nutrient levels as needed. This research contributes to the advancement of precision agriculture by providing an effective solution for real-time nutrient management in hydroponic systems, potentially improving crop yields and resource efficiency.

This study aims to examine the village government's strategy in developing the tourism potential of Lake Rana Kulan, located in Rana Kulan Village, Elar Sub-district, East Manggarai Regency. The research uses a descriptive method with a qualitative approach. Data collection techniques include interviews, observation, and documentation, using both primary and secondary data sources. Data analysis was carried out through data reduction, data presentation, and conclusion drawing. The study adopts the tourism development components theory by Gunn (2002), which includes attraction, service/facilities, promotion, transportation, and information. The results show that the village government is working to develop tourism attractions such as the lake's natural beauty, fishing and swimming activities, as well as cultural attractions like festivals. In terms of facilities, gazebos, toilets, parking areas, a stage, and trash bins are available, although food stalls and accommodations remain limited. Basic infrastructure such as solar power (PLTS) and internet networks are in place, but clean water supply remains a challenge. Promotion is conducted through social media and cultural festivals, with plans to develop a village website. Road access to the location is still damaged but under repair, supported by local motorcycle taxi services. In terms of information, there are directional signs and digital access via Google Maps and the Jadesta website. Overall, the strategies implemented indicate the village government's commitment to tourism development, although infrastructure and facility limitations remain obstacles.

The rapid growth of the beauty industry, particularly in Indonesia, has created a potential market for entrepreneurs while simultaneously intensifying business competition. Aligned with the development of the internet and information technology, companies are encouraged to leverage these advances through advertising on social media, including platforms such as TikTok. One local cosmetic brand that utilizes TikTok for product promotion is Dear Me Beauty. This phenomenon has led to a study that examines the mediating role of brand awareness in the relationship between advertising appeal and purchase intention. The purpose of this research is to analyze the influence of advertising appeal and brand awareness on the purchase intention of Dear Me Beauty’s cosmetic products, and to investigate the mediating role of brand awareness in that relationship. This study was conducted in Denpasar City with a sample size of 100 respondents using a non-probability sampling method and purposive sampling technique. The analysis techniques employed include descriptive analysis and inferential analysis, specifically path analysis and the Sobel test. The results show that advertising appeal has a positive and significant effect on purchase intention; advertising appeal has a positive and significant effect on brand awareness; brand awareness positively and significantly influences purchase intention; and brand awareness mediates the effect of advertising appeal on purchase intention for Dear Me Beauty products.

This study aims to analyze the operational conditions of the raw material warehouse at PT Nutrition And Special Foods Division and evaluate the potential implementation of an Internet of things (IoT)-based warehouse management system (WMS) to improve the efficiency and accuracy of warehouse management. A descriptive qualitative approach was used, including field observations and interviews with several operators and warehouse staff. The findings indicate that the currently used manual system causes various obstacles, such as input errors, slow picking processes, and limited stock tracking capabilities. A simulation of WMS implementation using RFID and barcode technology showed significant improvements, including approximately 40% increase in picking  efficiency, around 90% improvement in stock recording accuracy, and a reduction of input errors by up to 85%. The application of this technology also supports real-time tracking using FIFO/FEFO methods and enhances visibility and decision-making in logistics operations. Thus, the integration of RFID, barcode, and QR code in WMS proves effective in transforming warehouse management into a faster, more accurate, and responsive system aligned with supply chain dynamics.