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All Journal G-Tech : Jurnal Teknologi Terapan
Mowaviq, Muhammad Imbarothur
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Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Design of an MPPT Controller on Boost Converter for for Improving PV Charging Efficiency under Variable Irradiance of PV Modules Pradani, Erlillah Rizqi Kusuma; Permatasari, Delila Cahya; Asti, Irfin Sandra; Mowaviq, Muhammad Imbarothur
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8152

Abstract

The Photovoltaic (PV) system is a promising renewable energy technology that converts solar radiation into electrical energy through solar cells integrated into solar panels. This study presents the design and implementation of a PV system incorporating a DC–DC boost converter and a Perturb and Observe (P&O)-based Maximum Power Point Tracking (MPPT) algorithm to enhance power conversion efficiency under varying solar irradiance and temperature conditions. The proposed system consists of solar panels, a boost converter–based charge controller, an inverter, and a battery bank as the energy storage unit. The P&O algorithm dynamically adjusts the duty cycle of the boost converter to ensure that the PV array operates at its optimal power point. Experimental results show that the boost converter effectively regulates an input voltage range of 8–13 V to produce a stable output of 12–13.5 V. The system achieves a charging efficiency improvement of 18.6% compared to direct charging without MPPT and reduces the battery charging time by approximately 25%, enabling a 12 V, 6 Ah battery to reach full charge in about 8 hours. The integration of the P&O-based MPPT with the DC–DC boost converter significantly enhances charging efficiency and system reliability. These results demonstrate the effectiveness of the proposed PV system in maximizing power extraction and promoting sustainable energy utilization.
Smartphone-Based Remote Control System for an Automated Red Onion Irrigation Robot Asti, Irfin Sandra; Firdaus, Fauzan Faadihilah; Permatasari, Delila Cahya; Pradani, Erlillah Rizqi Kusuma; Mowaviq, Muhammad Imbarothur; Ananto, Rhezal Agung
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8153

Abstract

Agriculture remains a vital sector in ensuring food security, economic stability, and rural livelihoods, particularly in developing countries such as Indonesia. Among various agricultural commodities, red onion (Allium cepa L.) plays a crucial role as one of the most consumed horticultural products and a key income source for farmers. However, its cultivation requires consistent soil moisture, and manual irrigation often results in inefficiency, labor intensity, and inconsistent watering. To address this problem, this study presents the design and implementation of a smartphone-based remote control irrigation robot for red onion cultivation. The system was developed using the ESP32 microcontroller integrated with the Blynk mobile application, enabling wireless control of both mobility and irrigation functions. Hardware components include a DC pump, motor driver, and relay module, supported by a 12-volt rechargeable battery as the power source. The robot’s mechanical frame, constructed from lightweight PVC and acrylic materials, was designed to provide stability and durability in agricultural environments. Performance tests showed that the robot operated reliably within a 20–30 m Wi-Fi range, achieved a movement speed of approximately 3 km/h, and produced water pressure of 160 psi, sufficient for red onion irrigation. Battery endurance reached 1 hour 40 minutes under continuous operation. In conclusion, the developed system demonstrates a practical, low-cost solution that integrates robotics and IoT technology to improve irrigation efficiency, reduce manual labor, and support sustainable water management in red onion farming.
Co-Authors Ananto, Rhezal Agung Asti, Irfin Sandra Firdaus, Fauzan Faadihilah Permatasari, Delila Cahya Pradani, Erlillah Rizqi Kusuma