This research develops a local weather-monitoring system based on the Internet of Things (IoT) and a Wireless Sensor Network (WSN), employing four nodes to collect real-time data on temperature, humidity, air pressure, wind speed, and rainfall. Each node transmits its data to Firebase, where it is displayed on a web dashboard and used to trigger early-warning notifications via Telegram. Testing results show that the anemometer recorded an average deviation of 0.33 km/h, while the BME280 demonstrated high accuracy across three parameters: a 0.21°C (0.74%) deviation for temperature, 0.83% (1.31%) for humidity, and 0.28 hPa (0.02%) for air pressure. The system also exhibited stable data synchronization and rapid alert response times. The testing results demonstrate the potential of a multi-node approach to capture local microclimate variability and indicate its suitability for further development in machine learning–based predictive models.
The increasing penetration of renewable energy, especially wind energy based on Dubly Fed Induction Generator (DFIG), poses challenges in maintaining power system stability. One mitigation approach is the use of a Parallel Resonance Fault Current Limiter (PRFCL), which can limit fault currents and dampen oscillations during major disturbances. This study uses MATLAB/Simulink to simulate a DFIG-integrated IEEE 9 Bus system and evaluate the impact of PRFCL on transient stability during three-phase-to-ground faults. The results show that PRFCL significantly reduces voltage and power deviations, accelerates frequency recovery, and improves the Fault Ride-Through (FRT) capability of DFIG systems.
Improving solar panel performance is challenging due to increasing of solar radiation. This study investigates the effect of variations in the angle of the flat mirror reflector on the surface temperature and electrical performance of a 10 Wp monocrystalline solar panel using an ESP32-based data acquisition system with INA219 and DS18B20 sensors. Reflector angles of 45°, 60°, and 75° were tested from 08:00 to 16:00 WIB. The results indicate that the 45° reflector produced the lowest temperature (≈60 °C), the highest average voltage (19.7–20.0 V), maximum current of 120 mA, and peak power of 2.6 W. In contrast, the 75° angle increased the temperature to 72 °C and reduced the electrical output. The study concludes that a 45° reflector angle is optimal for low-power solar panels in hot tropical environments.
Electric shock is a fatal risk in domestic environments that require an effective grounding system. Because high resistance can weaken the protective function, optimization through the use of additives is the main focus of this study. This study evaluates the effect of electrode rod planting depth on moist and dry soil types using a mixture of additives. The method used is the three-point method with planting media in PVC pipes. Test results in this study require improvements in the minimum electrode rod planting of at least 1 meter in the ground and with maximum and effective results it is recommended to be 2.44 meters (8 feet) into the ground. And in dry soil the electrode rod needs to be buried up to 3.5 meters to get a resistance value below 5 Ω according to PUIL standards.
