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Water Level and Solar Panel Power Monitoring System Based on the Internet of Things (IoT) Affan Bachri; Abdur Rohman Wakhid; Muhammad Aflah Kafabi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.16852

Abstract

Water storage management still requires direct supervision in many household and small-scale applications, while a remote monitoring system also needs a reliable energy supply. This study develops an integrated Internet of Things system that measures water level and photovoltaic electrical parameters in real time. The prototype uses an ESP32, a waterproof JSN-SR04T ultrasonic sensor, two INA219 modules, a 20 Wp solar panel, a PWM solar charge controller, a 12 V battery, ThingSpeak, and a Telegram Bot. Testing covered microcontroller connectivity, distance measurement accuracy, electrical sensing, solar panel output, battery operation, cloud data delivery, and integrated system performance. The JSN-SR04T produced an average reading of 10.16 cm for a 10.00 cm reference, with an average absolute deviation of 0.16 cm. INA219 voltage measurements showed a mean relative error of 2.91% against a multimeter. During integrated testing, the water level remained at 12.0-12.4 cm, solar panel voltage reached 13.44-13.45 V, and panel power reached 4.40-4.41 W. ThingSpeak displayed the measurements continuously, while Telegram delivered synchronized status information. These results show that the proposed system supports remote water-level and energy-source monitoring using an autonomous solar supply.
Penyelesaian Rangkaian Listrik Menggunakan Invers dan Eliminasi Gauss Berdasarkan MATLAB Ulul Ilmi; Zaenal Abidin; M. Lais Shofil Muna; Muhammad Aflah Kafabi; Nafik Burhanudin; Ahmad Faizin; Faried Nur Imanudin; Mudafiqil Ilmi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 4 (2025): Juli: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i4.931

Abstract

Solving electrical circuits often requires finding solutions to systems of linear equations, which are derived from fundamental laws like The laws of Kirchhoff and Ohm's law. In this study, two widely known numerical methods are used to solve these systems, Gaussian elimination and matrix inversion. Both methods are applied to the linear equations that represent the electrical circuit network. MATLAB is used to model and solve the circuits with these techniques, making the calculations more efficient and accurate. By employing both methods, we can solve systems of equations for various circuit configurations, determining the voltage and current values for each component. The results demonstrate that both methods are reliable and fast, providing valuable insights for electrical engineering and circuit analysis.