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Development Arduino Data Logger using INA219 Sensor for Battery Capacity Monitoring Hollanda Arief Kusuma; Rifki Ariandhi; Septia Refly; Sapta Nugraha
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 5, No 1 (2023): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v5i1.8352

Abstract

A battery, also known as an accumulator, is an electrical cell that can reverse an electrochemical process with high efficiency. It is essential in the use of electrical systems as storage devices. It has two critical parameters: current and voltage. These parameters can affect the battery's behavior, which leads to battery usage. As a result, a battery monitoring instrument is required to monitor the battery's current and voltage while it is in use. The researchers designed a monitoring instrument with an Arduino Pro Mini 5V microcontroller as the main processor, INA219 as a current and voltage sensor, RTC DS3231 as a time reader, micro SD card module as a data logger, and OLED SH1106 to display the current, voltage, and time readings. The calibration of the INA219 sensor has a current reading accuracy of 91.43% and a voltage reading accuracy of 99.87%. RMSE was measured at 227.65 mA and 0.0146 V. The device was tested with a BSB DB 12-55Ah battery connected to 30W PJU lamps. In the results of this test, we experienced voltage drop and current ripple in the battery performance. The battery usage capacity was 49.71 Ah. Based on this research, the device built can monitor battery conditions.
IMPLEMENTASI SISTEM PENERANGAN DAN PROTEKSI PANEL SURYA KERAMBA JARING APUNG PADA KELOMPOK NELAYAN KAMPUNG BUGIS DI KOTA KOTAMADYA TANJUNG PINANG Kusuma, Hollanda Arief; Refly, Septia; Pramana, Rozeff
Jurnal Hilirisasi IPTEKS Vol 7 No 3 (2024)
Publisher : LPPM (Lembaga Penelitian dan Pengabdian kepada Masyarakat) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v7i3.798

Abstract

Comparative Study of Solar Panel Power Performance and Battery Charging Patterns of Lithium-Ion Bavitra, Bavitra; Kusuma, Hollanda Arief; Refly, Septia; Guntara, Aldo
Journal of Telematics and Informatics Vol 13, No 1 (2025)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v13i1.

Abstract

New Renewable Energy (EBT) is an environmentally friendly energy source that can be continuously renewed. One of the EBT technologies that is widely used is solar panels, which utilize solar energy as an electrical resource. This research aims to analyze battery charging patterns based on using solar panels with capacities of 5WP, 10WP, and 20WP, as well as charging modules such as TP4056 and INA219 sensors to monitor voltage and amperage. The research results show that solar panels with a capacity of 20 WP have faster charging capabilities compared to solar panels with a capacity of 5 WP and 10 WP. The average battery charging time in sunny weather is around 3 hours, while the battery charging time in cloudy weather is around 6 hours. This shows that solar panels with higher capacity can increase the efficiency of the battery charging process. Keywords : New Renewable Energy, Solar Panels, Lithium-Ion Batteries, INA219 Sensors
Pengisian Baterai Ion Litium dengan Variasi Arus Menggunakan Modul TP4056 dan TP5100 Refly, Septia; Putra, Gandhi Rizky Mahendro; Kusuma, Hollanda Arief
Newton-Maxwell Journal of Physics Vol. 6 No. 2: Oktober 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v6i2.40060

Abstract

The charging speed of lithium-ion batteries depends on the applied current, with higher currents resulting in faster charging.  However, higher currents can increase the surface temperature, potentially damaging components or causing safety hazards. This study measured the surface temperature of lithium-ion batteries using the DS18B20 sensor. The TP4056 module was used for currents of 880.9 mA, 982.30 mA, and 1134.40 mA, while the TP5100 module was used for a current of 1323.80 mA. Charging at 1328.38 mA required the shortest time, approximately 3-4 hours. Temperature measurements showed no significant increase across the range of 880.0-1328.38 mA. For 982.30 mA, the first and second measurements recorded maximum temperatures of 34.4 °C and 36.2 °C, respectively. In the third measurement at 1328.38 mA, the maximum temperature reached 35.5 °C. Overall, the temperature variations remained below the maximum safe limit for lithium-ion battery charging.
Studi Perubahan Cuaca di Kota Tanjungpinang Berdasarkan Nilai Temperatur, Kelembapan, dan Kecepatan Angin menggunakan Mikrokontroler ESP32 Anggarudin, Anggarudin; Simanullang, Andreas M; Pardede, Masta Angel Valentina; Refly, Septia; Kusuma, Hollanda Arief; Suhendra, Tonny
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Jurnal ini membahas pengukuran suhu, kelembaban, dan kecepatan angin di Kota Tanjungpinang. Tujuannya adalah memahami kondisi lingkungan dan mendapatkan informasi cuaca. Pengukuran dilakukan menggunakan instrumen yang dirancang khusus untuk memperoleh data yang akurat. Metode penelitian meliputi pengumpulan data di lapangan, pengolahan, dan analisis data. Data yang diperoleh dibandingkan dengan standar kualitas lingkungan untuk menentukan tingkat kualitasnya. Rata-rata suhu dalam ruangan ber-AC adalah 21,87°C, sedangkan di luar ruangan 51,84°C. Kelembaban udara rata-rata dalam ruangan adalah 54%, sedangkan di luar ruangan 30%. Kecepatan angin rata-rata dalam ruangan dengan bantuan kipas adalah 12,38 km/jam. Hasil kalibrasi menunjukkan suhu rata-rata pada hari pertama adalah 34,76°C, pada hari kedua 29,59°C, dan pada hari ketiga 27,09°C, dengan kelembaban dan kecepatan angin yang sesuai. Jurnal ini menyajikan hasil pengukuran di Gedung FTTK, Kampus UMRAH, Senggarang, dengan harapan memberikan pengetahuan baru bagi pembaca dan dapat dikembangkan lebih lanjut di masa depan.
Comparative Study of 10 Wp Solar Panel Performance with Mirror Reflectors at Various Angles HARAHAP, BASYARUDDIN ISMAIL; REFLY, SEPTIA; BONARDO, DOLI; BAVITRA, BAVITRA; WANATIRTA, BIMBI ADYTIA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.84

Abstract

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.
Multi-Channel Power Data Acquisition System for Solar Panel Monitoring Refly, Septia; BimaJaya, Adam; Harahap, Basyaruddin Ismail
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.v8i1.14224

Abstract

This study presents a low-cost and scalable multi-channel power data acquisition system for real-time solar photovoltaic (PV) panel monitoring, addressing the limitations of conventional single-channel approaches that provide only aggregate system measurements. The proposed system enables simultaneous per-panel measurement to support detailed performance analysis and improved fault localization. The system is implemented using an ESP32 microcontroller integrated with multiple calibrated INA219 sensors, which are connected via the I²C protocol to measure voltage, current, and electric power. A modular hardware design supports three independent PV channels, while data handling is achieved through dual-mode operation, consisting of local microSD card storage and wireless data transmission to the ThingSpeak IoT platform for real-time visualization. Calibration results demonstrate high measurement accuracy, with average errors below 1%, a voltage root mean square error (RMSE) of less than 0.07 V, and a current RMSE of less than 7 mA. Field testing conducted over two consecutive days confirms stable and uninterrupted operation, achieving 100% data acquisition reliability. The recorded data clearly reveal per-panel performance differences under real operating conditions, enabling effective identification of mismatch behavior among panels. The proposed system provides an affordable, reliable, and scalable solution for distributed PV monitoring, making it suitable for multi-panel and remote photovoltaic installations. Future improvements will involve temperature-based efficiency analysis and the integration of thermal management strategies to enhance photovoltaic performance.