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All Journal BULETIN OSEANOGRAFI MARINA KOMPUTEK RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Journal of Advanced in Information and Industrial Technology (JAIIT) Journal of Electrical Engineering and Computer (JEECOM) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Insearch: Information System Research Journal Informatics, Electrical and Electronics Engineering
Laksono, Arief Budi
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Real-Time Monitoring of Solar Battery and Lamp Conditions Using Internet of Things Bachri, Affan; Laksono, Arief Budi; Santoso, Eko Wahyu; Firmansyah, Achmad Rifqi Adi
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.16851

Abstract

Solar photovoltaic battery systems require continuous observation to prevent unnoticed voltage decline, abnormal temperature, and lamp failure. This study developed a compact Internet of Things monitoring prototype using an ESP32 microcontroller, an INA219 sensor for voltage, current, and power, an LM35 sensor for battery temperature, and a light-dependent resistor for lamp-state detection. Sensor data were shown locally on a 16x2 liquid-crystal display and transmitted through Wi-Fi to a Blynk dashboard at a five-second update interval. The study applied experimental and engineering research procedures covering hardware design, software integration, component validation, and integrated tests under off, three load, and charging conditions. The INA219 achieved average accuracies of 99.69% for voltage, 99.32% for current, and 99.49% for power, while the LM35 reached 97.08% accuracy. The light sensor correctly separated the tested off condition at 3 lux from lamp-on conditions between 230 and 2100 lux. Across all operating modes, the local display and Blynk presented consistent measurements, and negative current reliably indicated charging. The prototype therefore provides accessible real-time monitoring of battery electrical behavior, temperature, charging direction, and lamp status, although long-term data logging and field-scale validation remain necessary.
Co-Authors Al Azmy, Muhammad Ridho Al Amri, Sholihul Annisa Kesy Garside Bachri, Affan Fauzi, Sabri Firmansyah, Achmad Rifqi Adi Handayani, Meutia Hartantyo, Sugeng Dwi Hidayat, Faruq Dwi Fahrul Ilyasa, Bryan Jamil, Fajrul M. Ghofar Rohman Marjudi, Suziyanti Binti Mauladi, Kemal Farouq Muhammad Hatta Munira, Nanda Nasution, Riski Dahrian Nisa', Karimatun Ni’am, Wafirun Prasetyo, M. Romadhoni Eko Purnomo Hadi Susilo, Purnomo Hadi Putra, Hayatu Abdillah Rifky Aisyatul Faroh Rizky Dwi Saputra, Rizky Dwi Rohman, Mohammad Ainur Rudianto, andi andi Ruzanna, Arina Santoso, Eko Wahyu Saputra, M. Bayu Irwan Sartika, Ayu SYAHRIAL SYAHRIAL Ulul Ilmi Utomo, Heru Prasetio Wakhid, Abdur Rohman Waliuddin, Aubait