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The development of renewable energy, particularly Solar Power Plants (PV), requires a reliable, real-time, and easily accessible electrical energy monitoring system to ensure optimal system performance. This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system for PV using the NodeMCU ESP32 microcontroller, the PZEM-004T sensor for measuring electrical parameters, and the Node-RED platform as the data visualization interface. The developed system is designed to monitor voltage, current, power, energy, frequency, and power loss in real time, and then display the data in the form of numerical values, graphs, and indicators on a dashboard accessible through a local network. The research method includes hardware design, software development (sensor reading, data processing, and communication), integration with Node-RED, and system testing on a small-scale PV installation. The test results show that the system is capable of monitoring electrical parameters in a stable and responsive manner. Variations in sunlight intensity were found to affect the current and power produced by the solar panels, whereas the inverter output voltage tended to remain within normal operating ranges. The Node-RED dashboard display was considered informative and helpful for users in monitoring and analyzing PV performance. Based on these results, it can be concluded that the IoT-based electrical energy monitoring system designed in this study functions well and is feasible for application in residential or educational-scale PV installations. The system still has the potential for further development through cloud service integration, the addition of environmental sensors, and enhancements to data analysis features and user interface design.

The increasing global energy demand drives the search for efficient and sustainable renewable energy solutions. Solar panels have become one of the most widely used technologies; however, their efficiency remains limited when installed in a static position. This research aims to analyze the performance of a single-axis auto tracking system on a 10WP solar panel integrated with the Internet of Things (IoT) for real-time monitoring, specifically in powering a portable powerbank. The research method employed was a quantitative experimental design with three testing scenarios: powerbank charging using an auto-tracking solar panel, a static solar panel, and conventional household electricity as a comparison. Charging data were collected via an IoT system integrated with the Blynk application in real-time. The results indicate that the auto-tracking system increased charging efficiency by around 10%, compared to only 6% with a static panel in one hour. This performance is nearly equal to household electricity charging, which reached approximately 10–11%. The study concludes that the single-axis IoT-based auto-tracking system significantly enhances the performance of small-scale solar panels and holds strong potential for portable energy solutions in remote areas.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.

The availability of electrical energy is one of the important factors during learning activities. However, because the electrical system can be said to be very complicated, starting from the generator center all the way to the consumer, there will most likely be a disruption that causes the flow of power to the consumer to be cut off. One of the factors that affect includes environmental factors, maintenance and other factors, so that the learning process is slightly hampered. The purpose of this research is to maintain electricity supply by automatically switching sources and utilizing renewable energy as a reserve for lighting students' practice rooms. Therefore, a system is needed that automatically regulates the switching of primary sources to backup sources. Automatic Transfer Switch or ATS is a device that automatically switches the main power source from PLN to a backup source such as solar panels by setting the time using Time Delay Relay (TDR). TDR functions to regulate the duration of the power source change operation to meet load needs, especially on small loads such as student practice rooms with a voltage of 220 Volts in one language. The advantage of this system is that it is able to automatically switch electricity supply between PLN and Solar Panels with a controlled time lag. The research method involves the installation of electrical panels and Solar Panels using Solar Charger Controller or SCC, Inverter devices. At the time of the study, the adjustment of the TDR setting to set the time lag on the ATS. SCC settings are carried out to obtain Inputs and Outputs in the optimal battery charging process where the measurement results show that When the load of the incandescent lamp is increased from 50Watt to 300Watt, the current increases from 4.47A to 25.2A, while the voltage decreases from 11.7V to 9.8V. In conclusion, the greater the load, the solar panel voltage decreases and the current increases. The results of the study show that the implementation of the automatic transfer switch system is able to automatically switch the electricity supply between PLN and Solar Panels with a controlled time lag.

South Sumatra is a province with high natural resource potential in the palm oil plantation sector. The increasing demand for palm oil has led to many companies operating in this sector. One such plantation company is PT. Agro Muara Rupit, located in Rawas Ulu District, North Musi Rawas Regency, South Sumatra Province. This research is important because plantations are not only assessed from a commercial perspective, but must also have a positive impact on environmental sustainability. One environmentally conscious design concept is ecological architecture. Ecological architecture plays a role in protecting ecosystems from damage and creating comfort for residents from a physical, social, and economic perspective. This research aims to create environmentally conscious residential designs by applying ecological architecture concepts, ensuring the preservation of the natural environment. The research method used is a qualitative descriptive method with stages namely problem identification, data collection, analysis, and concept development, then the concept is implemented into the design. The results of this study are the implementation of four aspects of the ecological architecture concept in residential environments, including through natural ventilation and lighting systems by creating openings in the building, energy savings by using solar panels, the use of natural materials in the building mass such as clay, wood and bamboo, and the application of a bio pore system as water absorption.

This study analyzes the potential use of solar cells as a renewable energy source on the MV SARI INDAH. With the increasing demand for energy and the negative environmental impacts of fossil fuels, solar cells provide a promising eco-friendly alternative. The research focuses on developing a prototype system to charge batteries using solar power, converting DC power into AC for ship operations. The methodology includes measuring sunlight intensity, current, and output voltage, while also calculating the battery capacity and the ship’s electrical load. Tests were conducted at various tilt angles, with data recorded hourly over two days to assess performance. The results show that a 75° tilt angle yields the highest voltage, current, and power output when compared to other angles. Based on these findings, the study recommends installing solar panels at a 75° angle on the compass deck. The system design utilizes two panels positioned opposite each other, forming a 150° angle to optimize energy capture. This setup is capable of supplying power to key areas on the ship, such as seven lamps in the E/R 2nd Deck, Control Room, Emergency Generator Room, and CO₂ Room. The system is designed to meet the total daily energy demand of approximately 1,400 Wh, which can be efficiently fulfilled by eight solar cells rated at 50 Wp each, providing a sustainable and efficient energy solution for the vessel.

Renewable energy is non-fossil energy that can be renewed and managed sustainably, such as solar, wind, water, and biomass. To overcome dependence on weather conditions, this energy can be combined with alternative energy sources such as piezoelectric sensors, which can convert pressure into electrical energy. This study aims to design a prototype monitoring system for hybrid electric energy using solar panels, wind turbines, and piezoelectric elements as alternative energy sources on board ships. The use of Internet of Things (IoT) technology is key to monitoring and managing these energy sources in real-time and automatically through integrated sensors and software. This research uses the Research and Development (R&D) method by creating a prototype that combines solar panels, wind turbines, and piezoelectric components as energy sources and designing a monitoring system based on the Internet of Things (IoT) using the Kodular application. Several system components were tested through two types of testing: static and dynamic testing. The test results showed that the solar panel had the most stable performance with a voltage of approximately 16.50V and a current of 2.41A occurring between 13:00 and 16:00 WIB. The wind turbine was able to operate at low wind speeds and reached its highest voltage of 3.63V and current of 1.14A on the fifth day at 20:00 WIB with a wind speed of 1.1 knots. The piezoelectric system generated power according to the pressure and frequency of footstep impacts. The highest voltage recorded for a 70kg subject was 4.11V with a current of 0.19A. This hybrid system has the potential to be an environmentally friendly energy support solution on board ships.

The need for environmentally friendly marine transportation continues to increase, especially in tourist areas such as Penyengat Island, Tanjungpinang, Riau Islands. In the local context, the design of electric boats has not been widely developed for small islands in Indonesia, even though the potential and urgency for its application is very high. Geographical constraints, limited charging infrastructure, and a lack of technical data are the main obstacles. This research focuses on the design and construction of an electric-powered tourist boat prototype with an asymmetrical catamaran hull type as an effort to support a sustainable transportation system. The boat design applies an asymmetrical catamaran hull configuration to improve sailing stability and energy efficiency. The propulsion system is controlled via a wireless PS2 joystick integrated with an ESP32 microcontroller, supported by a 24V DC motor powered by lithium-ion batteries and solar panels as a supplement. Test results show that the boat can operate stably with remote control, good energy efficiency, and zero emissions during operation. Some technical challenges encountered include limited operational duration due to battery capacity and high sensitivity of electronic components to water exposure. Overall, this prototype has great potential for further development as an environmentally friendly alternative for maritime transportation system. The stable catamaran hull design provides advantages in terms of comfort and safety, especially in calm or shallow waters. The electric propulsion system used has proven to be efficient and responsive, supported by a remote control mechanism that is easy to operate via a wireless joystick

This community service activity aims to increase the capacity of residents of Tumpangrejo Hamlet, Ngenep Village, Karangploso District, Malang Regency through training in the manufacture and use of solar-powered lamps. The main problem faced by residents is limited access to electricity in some areas, especially in remote areas not yet covered by the PLN electricity network. Furthermore, there is a lack of knowledge about environmentally friendly renewable energy technology and its potential use in daily life. The activity method begins with socialization about solar energy, where residents are given an understanding of the basic principles and benefits of solar energy as an environmentally friendly alternative energy source. Then, practical training is conducted on assembling solar-powered lamp components, which includes installing solar panels, batteries, and LEDs. During the training, participants are guided to understand each stage of the assembly process and the importance of maintaining the equipment to ensure its long-lasting and optimal function. Technical assistance is also provided after the training to ensure residents can apply the skills learned in their daily lives. Participants are encouraged to assemble and maintain solar-powered lamps independently, so they do not solely rely on external parties for maintenance. The results of this activity demonstrated an increase in residents' knowledge and skills in understanding the concept of solar energy, as well as their ability to independently assemble and maintain solar-powered lamps. Furthermore, residents began utilizing solar-powered lamps for street and household lighting. This reduced reliance on conventional electricity sources, which are often limited and expensive. This activity is expected to become a model for community empowerment based on appropriate technology in rural areas, improving their quality of life through the sustainable use of available natural resources.

Gorontalo Province is an area with a high level of disaster vulnerability, both from hydrometeorological disasters such as floods and landslides, as well as geological disasters such as earthquakes. This condition requires an integrated, modern, and sustainable disaster training facility. Unfortunately, until now Gorontalo does not have a representative disaster management education and training center to support community preparedness. This research aims to design a Disaster Management Education and Training Center that not only functions as an education and simulation place, but also integrates green architecture principles to create an environmentally friendly and energy-efficient learning environment. The method used is qualitative descriptive with primary data collection through observation, interviews with stakeholders, and field documentation. Secondary data were obtained from literature studies, disaster architectural precedents, and spatial planning regulatory studies. The design site was chosen in Limboto District with considerations of accessibility, development potential, and geographical conditions. Analysis is carried out on spatial, functional, and climatological aspects to produce an optimal zoning concept and the orientation of building masses according to the tropical climate. The design results show that an area of 19,371 m² can accommodate all space needs with the utilization of KDB of 25.4%. The application of green architecture is realized through the use of environmentally friendly local materials, natural lighting, cross ventilation, solar panels, and rainwater management systems. The simulation facilities for floods, landslides, earthquakes, and fires are designed based on experiential learning so that participants can experience disaster scenarios firsthand. This design is expected to be a model of sustainable tropical disaster architecture, replicate in other disaster-prone areas, and encourage the creation of a disaster-aware culture. This research also opens up further research opportunities related to energy performance evaluation and the application of digital technology in disaster education.

The training on photovoltaic cell implementation at At-Taubah Islamic Boarding School, Tirtamulya, Karawang, aimed to enhance the students’ productivity through mastery of renewable energy technologies. This training was conducted as an empowerment initiative to enable students to independently apply photovoltaic cell technology to meet energy needs within the boarding school environment, while also equipping them with entrepreneurial skills in the renewable energy sector. The training methods included the delivery of basic material on photovoltaic cells, hands-on practice in assembling small-scale solar panels, and simulations of their use for lighting and simple equipment within the school. The results showed an 85% increase in students’ understanding of the working principles of photovoltaic cells, based on pre-test and post-test comparisons, along with improved skills in installing basic solar panel systems. Moreover, the training fostered student interest in developing solar panel installation and maintenance services within the surrounding community. Thus, this program contributed to enhancing the students' productivity and self-reliance while promoting clean energy utilization within the pesantren community.

This research aims to monitor the performance of a 2x100Wp Solar Power Plant (PLTS) using the parameters of current, power, and solar intensity. The monitoring system is designed to record and analyze the electrical output of the solar panel in real-time. The experimental method is used by collecting data directly through current and voltage sensors, as well as light sensors connected to a microcontroller. Data was collected to see the relationship between solar intensity and electrical power generated. The test results show that the intensity of the sun greatly affects the amount of current and power generated by the solar panel. This monitoring system can be a tool for learning and analyzing the performance of small-scale solar power systems in a laboratory environment.

This study aims to examine the potential and challenges of utilizing Solar Power Plants (PLTS) in Medan City, which is geographically located near the equator and receives high exposure to sunlight throughout the year. The method used is a literature review with a narrative review approach that analyzes secondary data from various journals and relevant scientific articles. The results of the study show that Medan City has an average annual horizontal global solar radiation intensity of 463.61 W/m², with the potential for electrical power that can be generated from rooftop solar panels reaching 748.57 MW (monocrystalline), 598.85 MW (polycrystalline), and 299.43 MW (thin film). This potential is comparable to the capacity of large-scale power plants. The use of PLTS contributes to reducing carbon emissions, increasing energy security, creating jobs, and developing the local economy. However, challenges such as high installation costs, limited suitability of roof structures, and low public awareness are still major obstacles in the implementation of this technology. Therefore, synergy is needed between government policies, public education, and technological innovation to optimize the use of solar energy in urban areas such as Medan.

The aim of this study is to design a battery charging system using solar panels, integrated with an IoT-based monitoring system to improve efficiency and ease of supervision. The system utilizes the photovoltaic effect to convert solar energy into electrical energy, which is then stored in a battery through the regulation of a solar charge controller. The main components in this design include a solar panel, lead-acid battery, ESP32 microcontroller, current and voltage sensors, and the Blynk application for remote monitoring. The research method involves several stages, including the design of hardware such as solar panels, current and voltage sensors, and a step-down regulator, as well as software development using the Blynk platform and ESP32 programming. Test results show that the system is capable of achieving charging efficiencies between 89.45% and 99.57%, with optimal performance under clear weather and maximum sunlight conditions. The IoT system performs well up to a distance of 10–15 meters, with an average data transmission delay of less than 1.5 seconds. Therefore, this device proves to be effective as an independent battery charging and energy monitoring solution in locations without permanent electricity access.

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.

Indonesia is a developing country located at the convergence of four tectonic plates, making it highly prone to natural disasters such as earthquakes, tsunamis, landslides, and volcanic eruptions. These frequent disasters highlight the critical need for reliable electricity during emergencies. However, disaster-affected areas often struggle to restore power due to accessibility issues. To address this, alternative energy sources are needed, and Solar Power Plants (PLTS) offer a practical solution. PLTS are easy to implement, depend only on sunlight, and provide clean energy with low carbon emissions. Under clear skies, solar radiation can reach 1,000 Watts per square meter, making it a powerful energy source. Additionally, PLTS systems are adaptable and can be deployed in various formats, including mobile units. This study focuses on designing a Mobile PLTS to support BASARNAS operations in disaster zones. Data collection was conducted using resources from BNPB, BMKG, BASARNAS, and NASA. The analysis includes the geographical characteristics of the site, solar radiation intensity, and the operational dimensions of the BASARNAS Mobile Truck. The study aims to determine the suitable system specifications and estimate the energy production capacity of the Mobile PLTS. The proposed design features 20 solar panels, each with a capacity of 300 Wp, producing an average of 27.70 kWh per day. It also includes 16 batteries for energy storage. The remaining space in the truck can be used for transporting logistics or essential tools, making it a multifunctional unit ideal for disaster response scenarios.

Water is the main need for every living creature, including humans. However, sometimes the springs are located under residential areas. To lift water to residential areas, large amounts of electrical energy are needed to drive water pumps. Apart from the very large electrical energy sources required, the price of water pumps is very expensive, it is necessary to develop alternative energy sources. An alternative energy source that has enormous potential in Indonesia is solar energy. Every year the sun releases 745 thousand trillion kWh of solar energy reaching the earth. In connection with the above, dedication was carried out regarding the design of the solar water pump. In the design of the solar water pump, a DC water pump is used with a solar power source using 3 solar panel modules. Through the Mitra Village Service SKIM, LPPM UNMUS 2024 Program, this service will examine the performance of the solar water pump, namely the maximum power produced by the solar panels, the water flow that can be lifted by the pump and the duration of operation in a day. The results of service activities in the form of technology that has been installed in partner plantations in Waninggap Nanggo Village, this technology is able to save on plantation operations, especially water pump electricity costs, by using solar power sources. Based on the analysis, electricity costs have been saved by 30%, thereby increasing partner income.

This research aims to design a Solar Power System (PLTS) for households that can meet an energy demand of 4.5 kWh per day. The system design takes into account the efficiency of solar panels and the average solar radiation potential in Semarang, which is around 5 hours per day. The method used in this research involves calculating the required solar panel capacity based on the daily energy needs of the household, panel efficiency, and solar radiation hours. The calculation results show that the required PLTS capacity is 1125 Wp, which is then designed using 4 solar panels with a capacity of 300 Wp each. This system is expected to allow households to meet their energy needs independently and sustainably. The implication of this research is to provide an alternative solution for households in reducing their dependence on conventional energy sources, while contributing to the effort to reduce greenhouse gas emissions.

Roads are the main infrastructure that supports human life. When the infrastructure in the form of roads is good, then all community activities, from the economy, transportation, to equitable development can also be realized well. Sepinggan, South Balikpapan District, Balikpapan City is one of the cities in East Kalimantan whose road infrastructure is quite adequate. However, there is a road that does not have maximum lighting at night. Apart from poor visibility and increasing the risk of accidents, it also risks attracting crime. Therefore, members of the Balikpapan University KKN 2024 made street lighting at Posyandu Kusuma RT 58. The street lighting was made with solar power. Solar powered street lighting was chosen to maximize power efficiency. The methods used in these activities are identification, implementation, and achievements or outputs of activities. The people of RT 58 really appreciate the making of solar panel lights carried out by the 2024 Balikpapan University KKN team. The community's activities at night when passing through roads that already have cell panel lights become more optimal and productive.