MONITORING ENERGI LISTRIK GENERATOR TENAGA SURYA PORTABEL BERBASIS IoT UNTUK KEBUTUHAN LISTRIK DI DAERAH BENCANA

MONITORING ELECTRICAL ENERGY OF PORTABLE SOLAR POWER GENERATOR BASED ON IoT FOR ELECTRICAL SUPPLY IN DISASTER EFFECTED AREAS

Masyarakat di daerah yang tertimpa bencana alam, seringkali mengalami pemadaman listrik yang diakibatkan rusaknya infra struktur distribusi jaringan listrik, sedangkan energi listrik merupakan energi primer sangat dibutuhkan dalam beraktifitas sehari hari. Pemasangan panel surya merupakan solusi dalam mengatasi adanya kebutuhan energi listrik. Keterbatasan energi listrik didaerah bencana perlu dimonitoring agar pemakaiannya dapat terkontrol sesuai dengan kubutuhan. Tujuan penelitian ini untuk mengetahui penggunaan daya listrik secara real time yang dapat dipantau melalui jaringan internet agar penggunaan listrik dapat terkontrol. Metode yang digunakan adalah eksperimental dimana penulis melakukan monitoring dan membandingkan hasil monitoring energi listrik generator tenaga surya dengan 3 jenis panel surya yaitu 20 WP,50 WP,dan 100 WP. Hasil monitoring melalui Node-Red kemudian dianalisa untuk mengetahui besar tegangan dan presentase pada sensor. Hasil penelitian menunjukkan bahwa Sistem monitoring energi listrik menggunakan Sensor PZEM 004-T dan Sensor INA219 memudahkan pengguna untuk melacak tingkat daya, tegangan, arus, dan kapasitas baterai pada generator tenaga surya portabel.

Kata Kunci: monitoring energi listrik, node-red, sensor pzem 004-T, sensor INA 219.People in areas affected by natural disasters often experience power outages due to damage to the infra structure of the electricity distribution network, while electrical energy is the primary energy needed in daily activities. Installation of solar panels is a solution in overcoming the need for electrical energy. Limited electrical energy at disaster areas needs to be monitored so that its use can be controlled in according with the needs. The purpose of this research is to determine the use of electric power in real time that can be monitored via the internet network so that the use of electricity can be controlled. The method used was experimental where the author monitors and compares the results of monitoring the electrical energy of solar power generators with third types of solar panels, namely 20 WP, 50 WP, and 100 WP. The results of monitoring through Node-Red are then analysing to determine the amount of voltage and percentage on the sensor. The results showed that the electrical energy monitoring system using the PZEM 004-T Sensor and INA219 Sensor makes it easier for users to track the level of power, voltage, current, and battery capacity on portable solar power generators.

Keywords: electricity usage monitoring, node-red, pzem 004-T sensor, INA 219 sensor.

People in areas affected by natural disasters often experience power outages due to damage to the infra structure of the electricity distribution network, while electrical energy is the primary energy needed in daily activities. Installation of solar panels is a solution in overcoming the need for electrical energy. Limited electrical energy at disaster areas needs to be monitored so that its use can be controlled in according with the needs. The purpose of this research is to determine the use of electric power in real time that can be monitored via the internet network so that the use of electricity can be controlled. The method used was experimental where the author monitors and compares the results of monitoring the electrical energy of solar power generators with third types of solar panels, namely 20 WP, 50 WP, and 100 WP. The results of monitoring through Node-Red are then analysing to determine the amount of voltage and percentage on the sensor. The results showed that the electrical energy monitoring system using the PZEM 004-T Sensor and INA219 Sensor makes it easier for users to track the level of power, voltage, current, and battery capacity on portable solar power generators.

Keywords: electricity usage monitoring, node-red, pzem 004-T sensor, INA 219 sensor.