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Student attendance monitoring is a crucial aspect in education to ensure that students are present in classes and to minimize the potential for fraud. In this study, we developed an Internet of Things (IoT) system to monitor student attendance on campus using two main technologies: facial recognition and Radio Frequency Identification (RFID). The system utilizes RFID technology to identify students through RFID cards issued to each student, as well as facial recognition sensors for additional verification to enhance accuracy and security. This system is designed to provide convenience, security, and efficiency in the attendance process on campus.

The decline in the quality and quantity of groundwater resources is one of the biggest challenges in natural resource management in many areas. Mapping the potential of groundwater requires technology that can identify and detect the presence of water sources with high accuracy. The purpose of this study is to develop a groundwater detection application using a capacitance-based remote sensing method, which leverages the principle of capacitance changes on the soil surface due to the presence of groundwater. The capacitance sensing method was chosen because it can detect differences in capacitance between water-filled soil and dry soil. In this study, we integrate a capacitive sensor connected to electronic devices into a mobile application to visualize and analyze the data in real-time. This application aims to enable users, such as farmers and researchers, to easily monitor and detect the presence of groundwater sources at various locations with high efficiency.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

The Internet of Things (IoT) has revolutionized agricultural practices by offering real-time monitoring, resource management, and process automation. In Lampung, Indonesia, pepper farming faces challenges such as pests, diseases, and inefficient water usage, hindering productivity. This community engagement program focuses on training vocational school (SMK SMTI Bandar Lampung) students in IoT-based smart farming solutions tailored to pepper plantations. The program employs LoRa-based IoT platforms and automatic irrigation systems to enhance agricultural efficiency and sustainability. By integrating theory and hands-on application, students gain critical digital and technical skills, contributing to the development of a sustainable agricultural ecosystem. This initiative also addresses technological literacy gaps, empowering future generations to embrace innovative approaches for agricultural improvement.

Blue carbon ecosystems play a strategic role in mitigating climate change through their ability to absorb and store carbon significantly. However, uncontrolled exploitation of marine resources, such as overfishing, destructive fishing methods, and fishing gear waste, have threatened the sustainability of blue carbon ecosystem. Penangkapan Ikan Terukur (PIT) policies implemented by the Indonesian government aims to realize sustainable fisheries by regulating fishing quotas based on zoning. This reserach aims to identify the urgency of integrating blue carbon ecosystems into PIT policies in Indonesia to maintain the sustainability of marine resources and support climate change mitigation. Using qualitative descriptive methods based on literature studies, this research found that integrating blue carbon ecosystems into PIT policies can provide significant ecological benefits. Strict monitoring, restoration of blue carbon ecosystem habitats, and implementation of scientific data-based policies are needed to ensure the success of this policy. This integration is expected to be able to maintain marine ecosystems, support sustainable fisheries, and contribute to global climate change mitigation targets.

The purpose of developing an outpatient management information system at Waikabubak Regional Hospital is to improve the efficacy and efficiency of the outpatient health service process. The system created will facilitate recording, managing, and monitoring patient health status in real-time. Current manual procedures often result in inaccurate recording, slow administration, and substandard medical data management. This information system is expected to facilitate medical decision-making and smooth the flow of information from patient registration and health checks to treatment and follow-up.

This study aims to determine the Role of Tadarus Al-Qur'an as one form of Religious Education that can be given to Students in the midst of this Era of Moral Degradation, especially to form Students' Religious Character through the Habit of Tadarus Before Studying held at SMP Negeri 7 Serang City. The research method used in this study is literature review. In this literature review method, it is carried out by systematically searching the Google Scholar database by selecting several journals as a literature review while the direct observation technique is carried out by the Research Team who are carrying out the Introduction to the School Field (PLP) FKIP Untirta within a period of 2 (two) months by monitoring the Activities or Activities that occur at School. The results of this study are that the Habit of Tadarus Before Studying which was carried out for 35 Minutes at SMP Negeri 7 Serang City has a positive impact, especially in forming the Religious Character of Students which has been proven by their Personality in carrying out daily Activities based on Religious Values. Of course, there is the involvement of Homeroom Teachers, BK Teachers and Parents as Assistants in making children accustomed and accustomed to Habitual Activities that refer to Religious Education.

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

High blood pressure or hypertension is a significant global public health problem, especially in the productive age group (18-64 years). Hypertension often does not show symptoms in the early stages, but if left untreated, it can lead to serious complications such as cardiovascular disease, stroke, and kidney failure. This Community Service activity was carried out on teachers at Santo Yoseph High School, Cakung, East Jakarta. The purpose of this activity is to screen for hypertension through blood pressure checks. This activity was designed using the Plan-Do-Check-Action (PDCA) method as a sustainable method for processes or activities. The results showed that 27 teachers (38.04%) had high blood pressure. This screening program is important because it can increase public awareness of hypertension, which can be prevented by monitoring blood pressure early and regularly, so that it can improve overall health outcomes and quality of life.

The development of information and communication technology, especially mobile devices, has changed the learning landscape significantly. This research aims to examine the impact of using mobile devices in supporting the independent learning activities of class IX students at SMP PGRI Rancaekek. This research is motivated by the increasingly widespread ownership of mobile devices among students and their potential to increase motivation and learning effectiveness. The research method used is descriptive qualitative with data collection through observation, interviews and documentation. The research subjects were class IX students and subject teachers. Data analysis was carried out inductively to identify emerging themes related to the impact of mobile device use. The research results show that the use of mobile devices has a positive impact on students' independent learning activities. Mobile devices provide easier access to various learning resources, facilitate communication between students and teachers, and increase learning motivation. However, the research also found several challenges, such as dependency on devices, lack of monitoring of use, and gaps in access. The implication of this research is the importance of integrating the use of mobile devices in the learning process. Schools need to develop clear policies regarding the use of mobile devices, provide training for teachers, and ensure equitable access for all students. In addition, further research is needed to examine the long-term impact of mobile device use on student learning achievement.

This study examines the selection of an optimal underwater monitoring system for early detection of submarines in the ALKI II region. ALKI II is known as a strategic area that requires intensive monitoring to protect maritime security and national interests. The main focus of the study is to analyze various technical, operational, and economic factors that influence the selection of an underwater monitoring system. Through a comprehensive analysis approach, this study considers the detection capability, resolution, and adaptability of the diverse marine environment in the ALKI II region. Various types of underwater monitoring systems are evaluated, including passive sonar, active sonar, and visual monitoring systems. Passive sonar uses sound signal reception from targets, while active sonar sends signals and detects the reflected signals. Visual monitoring systems rely on cameras and other optical equipment. The decision to select a system is based on a thorough analysis of the advantages and disadvantages of each system. Passive sonar, for example, excels in quiet environments but may be less effective in high sea noise. On the other hand, active sonar may be more accurate but can be detected by submarines equipped with anti-sonar technology. This study provides useful guidance for decision makers in determining the optimal underwater monitoring system for the ALKI II region. By considering technical, operational and economic factors, it is hoped that the results of this research can improve early detection capabilities for submarines and strengthen maritime security in the region.

Coastal defense operations require efficient and effective monitoring of activities along the coastline. The use of UAVs has become an attractive solution to improve this monitoring capability. This study aims to conduct an in-depth analysis of the use of UAVs in coastal defense operations. The methods used include a literature survey on current UAV technologies, appropriate hardware and software, and effective monitoring methodologies. In addition, case studies of various UAV implementations in coastal defense operations are explored to understand their effectiveness and challenges. The results of the analysis indicate that UAVs have great potential in improving the monitoring capabilities of coastal defense operations. With the ability to cover large areas in a relatively short time, UAVs can provide accurate and real-time data on activities along the coastline, including intrusion detection, vessel movement monitoring, and environmental condition assessment. However, several challenges were also identified, including limited range and battery life, complex data integration, and privacy and security issues related to UAV data collection and use. To overcome these challenges, an approach involving the development of more modern UAV technologies and appropriate personnel training is needed.

Dermatoporosis is a chronic skin fragility syndrome common in the elderly, characterized by thinning of the skin that increases the risk of injury, bruising, and delayed wound healing. Chronic hyperglycemia and poor glycemic control have been reported to be associated with an increased risk of dermatoporosis. This community service activity aims to screen blood sugar levels, HbA1c, and dermatoporosis and educate the elderly using the Plan-Do-Check-Act (PDCA) method at Panti Bina Bhakti, South Tangerang. This activity involved 93 elderly participants aged >65 years. Meanwhile, based on the results of the HbA1C examination, 52 people had moderate glycemic control and 24 people had poor glycemic control. The results of the dermatoporosis examination have not been included. Early intervention through education and monitoring of blood sugar levels can reduce the risk of dermatoporosis, improve the health of the elderly's skin, and reduce the burden of health care.

Time management is planning, organizing and monitoring time productivity. Time is a performance resource that must be managed effectively and efficiently. In the world of education, time is likened to a sword that must be mastered, as well as in the field of tahfidz al-Qur'an, one of which is implemented in Dayah in Aceh, management is really needed to achieve the memorization target. Regarding this, standard data has not been found regarding time management at Dayah, therefore this research seeks to answer the concept of time management, its application, settings and implications for student memorization. This research is a field study using a qualitative approach, carried out at Islamic boarding schools in Aceh. Data analysis techniques are carried out through data reduction, data presentation and data verification. The research results show that the time management concept for tahfidz is prepared/scheduled after evening and evening prayers and memorized deposits after dawn prayers. This time is short, if you look at Dayah's priority which is devoted to memorization. The application of time management is not optimal, students often procrastinate memorizing, they do not recognize the activities (memorization) and the application of time is still not clear. Apart from that, students are less focused on results, and their responses or attitudes are less firm at times. The implications of time management for memorizing the Al-Qur'an in Dayah, in general, can be seen from the increase and changes in students memorizing the Al-Qur'an.

This study utilizes image processing technology to detect student hair length in accordance with the Standard Operating Procedures (SOP) at IPB Vocational School. Manual supervision is often inefficient and prone to subjectivity, leading to the development of an automated detection system using a region-based segmentation approach. This method identifies the forehead area as a reference point, where hair is considered long if it exceeds specified limits. The system is implemented in a web-based application called Rambot, enabling students to verify their compliance with SOPs more easily. This technology aims to improve the accuracy and consistency of hair length monitoring.

In the context of training and education (Diklat), optimal preparation is crucial to enhance program efficiency. Effective administrative activities can be the key to success in preparing efficient Diklat programs. This article discusses the importance of optimizing Diklat preparation through good administrative practices. Factors such as planning, organizing, implementing, and monitoring will be outlined as essential steps in achieving these objectives. Additionally, common challenges in optimizing Diklat preparation will be addressed, along with practical suggestions for overcoming them. By optimizing Diklat preparation through administrative activities, organizations can enhance the efficiency of their Diklat programs and achieve better outcomes. Enhancing efficiency in training preparation (Diklat) is a crucial aspect for the Human Resources Development Agency (BPSDM) of Central Kalimantan Province. The objective of this research is to optimize Diklat preparation and improve efficiency through administrative activities in the BPSDM of Central Kalimantan Province. This study utilizes a case study method to analyze the existing Diklat preparation process in the BPSDM of Central Kalimantan Province. Data is collected through interviews, observations, and document analysis related to Diklat administration. Subsequently, the collected data is qualitatively analyzed to identify constraints and opportunities for optimizing Diklat preparation.

Fecal incontinence (IF) is the inability to control the release of feces, often occurring in the elderly due to decreased physiological function of the pelvic muscles. Assessment of the severity of fecal incontinence requires a valid instrument such as the Fecal Incontinence Severity Index (FISI), which is based on a score to classify IF conditions. This community service activity was carried out with 93 elderly participants who took part in the FISI examination and education in order to increase understanding of the severity of fecal incontinence and the importance of preventive measures through early detection. The education program was carried out using the PDCA (Plan-Do-Check-Act) method which provides information related to risks, preventive efforts, and healthy lifestyle-based management steps. The average FISI score shows variations in severity among participants, providing an objective picture of the condition of the elderly. FISI acts as an important evaluation tool for monitoring and education, helping the elderly and their families understand their condition and take preventive measures. FISI examination in this program improves the quality of life of the elderly through effective education and prevention strategies

This research evaluates the effectiveness of the YouTube platform as a video sharing medium for learning video editing practices at Sekolah Tinggi Multi Media Yogyakarta (STMM). Video sharing platforms such as YouTube have a significant role in supporting independent learning, enabling flexible access to material, and giving students opportunities to develop editing skills. This research data was obtained from questionnaires and in-depth interviews with students enrolled in the Video Editing course at STMM Yogyakarta. The research results show that YouTube plays an effective role as a supporter of independent learning and a complement to face-to-face learning, but does not completely replace direct interaction with lecturers. Using YouTube also faces several obstacles, such as limited internet connection, limited appropriate content, and dependence on visualization without in-depth theoretical understanding. This research recommends optimizing video curation, integrating discussion platforms, and regular monitoring and evaluation.

Body composition is the ratio of fat mass to fat-free mass in the body, which is an important factor in maintaining health, especially in adolescents who are experiencing rapid growth and development. Balanced body composition in adolescence can support physical health and prevent various diseases. Imbalanced body composition has the potential to cause obesity, metabolic disorders, heart disease, and musculoskeletal problems. Educational activities and body composition examinations are carried out using the PDCA (Plan-Do-Check-Act) approach, involving counseling on healthy lifestyles and body composition examinations. This program has succeeded in increasing adolescents' understanding of the importance of maintaining body composition balance and adopting healthy habits. Health education and routine body composition monitoring provide benefits in preventive efforts to prevent future health risks. Continuous body composition examinations and education are important steps in efforts to control health among adolescents.

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.