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All Journal ELPOSYS: Jurnal Sistem Kelistrikan
Irwan Heryanto/Eryk
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Pengembangan Alat Estimasi Pola Peningkatan Kekotoran Panel PV Wibowo, Sapto; Sigit Setya Wiwaha; Irwan Heryanto/Eryk
Elposys: Jurnal Sistem Kelistrikan Vol. 10 No. 2 (2023): ELPOSYS vol. 10 no. 2 (2023)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v10i2.4691

Abstract

Photovoltaic (PV) panels play a pivotal role in converting solar radiation into electrical energy. The efficiency of PV panels is susceptible to the impact of shadows and accumulated dirt on the panel surfaces. This research aims to establish a correlation between the level of dirt accumulation and the resultant power generation. The methodology employed involves a comparative analysis of power output from PV panels under clean and dusty conditions. To quantify the increase in dust over a 3-day data collection period, a glass surface was exposed outdoors to collect dust, serving as a reference for comparison with the PV panel surface. The glass, containing accumulated dust, was then subjected to data retrieval using an LED as a light source. A light intensity sensor (BH1750) was employed to measure the decrease in light intensity as dust coverage increased on the glass surface over time.The results of the PV fouling test, utilizing 10 grams of dust, indicate a relatively stable voltage generation with only a 0.8-volt loss. In contrast, the current generated experienced losses of 0.28 amperes before and after fouling. These losses significantly impact the overall power generation capacity of the PV panel. This research sheds light on the importance of mitigating dust accumulation on PV surfaces to optimize and sustain efficient solar energy conversion.
Optimasi Sistem Pengisian MPPT Berbasis Fuzzy logic Pada Panel Surya Zuroida, Afidah; Irwan Heryanto/Eryk; Alfina Salsabella Ramandhani
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 1 (2025): ELPOSYS vol. 12 no. 1 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i1.6852

Abstract

The transition to renewable energy is a crucial step in achieving sustainable development. However, the efficiency of Photovoltaic (PV) systems remains a challenge due to fluctuations in solar irradiation, which affect power generation. This study aimed to enhance Maximum Power Point Tracking (MPPT) performance by integrating Fuzzy logic Control (FLC) into the charging system of a solar power plant. The research employed an experimental approach involving the testing of a 100 Wp PV module and a 44 Ah battery, where data collection was conducted at 10-minute intervals from 10:30 AM to 3:00 PM. The proposed FLC-based MPPT system was compared with a conventional MPPT system to evaluate charging efficiency, power stability, and response time. The findings indicated that the FLC-based MPPT exhibited superior stability, maintaining output voltage within 12V to 12.5V, whereas the non-Fuzzy MPPT showed wider voltage variations. Additionally, the FLC-based system achieved an average charging current of 2.05 A, reducing the full battery charging time to 21 hours 46 minutes, compared to 46 hours 31 minutes for the conventional MPPT system. These results confirm that FLC enhances MPPT performance, particularly in optimizing power output and reducing charging time. However, efficiency trade-offs were observed due to step-down losses in the buck converter. Future research should focus on hybrid MPPT approaches, parameter optimization, and large-scale implementation, potentially integrating Artificial Intelligence (AI) techniques to further improve efficiency. This study contributes to advancing intelligent MPPT systems for renewable energy applications.
Sistem Otomasi Suhu dan Kelembaban Pada Greenhouse Berbasis Sensor DHT22 dan Mikrokontroler Irwan Heryanto/Eryk; Swasmitha Arum Kusuma; Mohammad Noor Hidayat
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.7521

Abstract

Automatic control of temperature and humidity in greenhouses remains a critical challenge in precision agriculture, particularly in areas with limited access to modern technologies. This study aimed to design and implement an automated environmental control system using the DHT22 sensor and an Arduino microcontroller. The system was programmed to activate actuators, namely a water pump and a buzzer, based on predefined temperature and humidity thresholds. The research employed a hardware-based experimental method that included system programming, piping layout for water distribution, and field testing to validate sensor accuracy and control logic performance. The experimental results showed that the DHT22 sensor achieved high accuracy, with a temperature error of 0.02% and humidity errors ranging from 0.00% to 0.16%. The control logic functioned as expected, activating actuators only when the setpoint conditions were met, and the water distribution system operated efficiently using a 210-watt pump. Compared to prior studies that primarily focused on monitoring or single-aspect automation, this research offered a more comprehensive approach by integrating control logic, mechanical design, and electrical efficiency. The findings supported and expanded on previous work, particularly those utilizing similar sensors, but added value through direct implementation and real-world testing. This study contributed a practical and replicable solution for small- to medium-scale greenhouse automation, offering a low-cost and energy-efficient alternative for climate regulation in controlled agricultural environments
Co-Authors Alfina Salsabella Ramandhani Mohammad Noor Hidayat Sapto Wibowo Sigit Setya Wiwaha Swasmitha Arum Kusuma Zuroida, Afidah