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All Journal Mechatronics, Electrical Power, and Vehicular Technology Journal of Applied Science and Advanced Engineering
Ari Legowo
Department of Mechanical Engineering, International Islamic University Malaysia, Gombak, Kuala Lumpur 53100
Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Physics

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Maximum Power Point Tracking of Photovoltaic System for Traffic Light Application Muhida, Riza; Mohamad, Nor Hilmi; Legowo, Ari; Irawan, Rudi; Astuti, Winda
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 1 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.854 KB) | DOI: 10.14203/j.mev.2013.v4.57-64

Abstract

Photovoltaic traffic light system is a significant application of renewable energy source. The development of the system is an alternative effort of local authority to reduce expenditure for paying fees to power supplier which the power comes from conventional energy source. Since photovoltaic (PV) modules still have relatively low conversion efficiency, an alternative control of maximum power point tracking (MPPT) method is applied to the traffic light system. MPPT is intended to catch up the maximum power at daytime in order to charge the battery at the maximum rate in which the power from the battery is intended to be used at night time or cloudy day. MPPT is actually a DC-DC converter that can step up or down voltage in order to achieve the maximum power using Pulse Width Modulation (PWM) control. From experiment, we obtained the voltage of operation using MPPT is at 16.454 V, this value has error of 2.6%, if we compared with maximum power point voltage of PV module that is 16.9 V. Based on this result it can be said that this MPPT control works successfully to deliver the power from PV module to battery maximally.
Development of Simulator for Smart Anti-Flooding Systems: Fostering Hands-On Learning in University Education Muhida, Riza; Riza, Muhammad; Murwadi, Haris; Nurhasanah, Any; Legowo, Ari; Harsoyo, Agung
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.54

Abstract

The Flooding remains one of the most challenging natural disasters, causing widespread damage and disruption across urban and rural areas. As the frequency and intensity of floods increase due to climate change and urbanization, there is a growing need for effective flood management systems. This paper presents the development of a **Smart Anti-Flooding System (SAFS)** simulator designed to enhance hands-on learning for university students, particularly in engineering, disaster management, and environmental science programs. The SAFS integrates sensors, microcontrollers, pumps, and photovoltaic (PV) panels into an autonomous flood management system, offering students the opportunity to bridge the gap between theoretical knowledge and real-world application. The simulator monitors water levels using ultrasonic and level sensors, while controlling pumps and servo motors based on real-time data, enabling automatic water redirection in flood-prone areas. Powered by renewable energy, the system incorporates sustainability into flood management, making it a relevant tool for both education and disaster resilience. This paper highlights the SAFS's integration into university curricula, the learning outcomes achieved, and feedback from students who used the system. The results indicate that the simulator significantly enhances students' practical skills, fosters collaboration, and promotes a deeper understanding of disaster management through experiential learning
Utilization of IoT for Measuring Hydrogen Production in a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) System Muhida, Riza; Riza, Muhammad; Harsoyo, Agung; Murwadi, Haris; Legowo, Ari
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.55

Abstract

The integration of the Internet of Things (IoT) technology into a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) system offers an innovative solution for monitoring and optimizing hydrogen production in real time. This study presents the design and implementation of an IoT-based monitoring system for a PV-SPE hydrogen production system, utilizing ESP32 microcontrollers to collect and transmit critical operational data, including voltage, current, temperature, humidity, and hydrogen flow rate, to the Adafruit IO cloud platform. A Maximum Power Point Tracking (MPPT) controller was employed to optimize power transfer from the solar panel to the SPE electrolyzer, ensuring maximum efficiency in the electrolysis process. Experimental results confirmed that hydrogen production rates correlate directly with PV power output, with the IoT-enabled system providing efectively measurement compared to conventional methods. The system demonstrated stable data acquisition, real-time monitoring, and remote accessibility, allowing users to track hydrogen generation performance efficiently. This study concludes that the combination of IoT, renewable energy, and electrolysis technology enhances the efficiency, and scalability of hydrogen production systems
Co-Authors Agung Harsoyo, Agung Any Nurhasanah Haris Murwadi Muhammad Riza Nor Hilmi Mohamad Riza Muhida Rudi Irawan Winda Astuti