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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Darmabakti Cendekia: Journal of Community Service and Engagements Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Layanan Masyarakat (Journal of Public Service) Journal Of Sustainability Perspectives Journal of Advanced Technology and Multidiscipline (JATM) Journal of Sustainability Perspectives Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal INFOTEL Control Systems and Optimization Letters
Prisma Megantoro
Universitas Airlangga
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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UTILIZING 3D MAPPING PHOTOGRAMMETRY AND AIRFEEL WEATHER MONITORING FOR SOLAR AND WIND POWER PLANT DEVELOPMENT PLANNING ON GILI IYANG Megantoro, Prisma; Apsari, Retna; Nurrohma Hidayah, Nayu; Ananta Sari, Feby; Rania Khadijah, Alyssa; Dwi Cahyono, Heru; Abdilah, Waldi; Uta Nugraha, Yoga; Jamilatul Awalin, Lilik; Syahril Mubarok, Muhammad
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 8 No. 4 (2024): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v8i4.2024.476-485

Abstract

This article discusses community service activities on Gili Iyang Island, Sumenep, Madura, which focus on implementing appropriate technology in sensing the potential of renewable energy sources. Gili Iyang Island itself is an area that actively encourages the use of renewable energy. In this activity, maintenance and monitoring of data on AirFeel are carried out, including device checks and monitoring data accuracy levels through periodic calibration. Airfeel is used as a weather station to measure the potential of renewable energy, especially wind and solar energy. The potential for wind energy is considered from the speed and direction of the wind, while the potential for solar energy is considered from the level of solar irradiation. These parameters allow Airfeel to determine the optimal location for renewable energy generation based on weather conditions. Additionally, the DJI Phantom 4 Pro RTK drone was used for 3D Mapping Photogrammetry. This technology aids in creating three-dimensional maps that are considered in the planning and development of renewable energy power plants at the location. Implementing these two technologies can contribute to future planning for developing other renewable energy sources in Gili Iyang Island.
DEVELOPMENT OF SOLAR POWER PLANT AS SUPPORTING FACILITY FOR FISH FARMING IN KARANG PLOSO, PASURUAN Prastio, Rizki Putra; Megantoro, Prisma; Mukhlisin, Agus; Abdillah, Sulthon Yusuf; Muda, Kemal Iskandar; Nurarsyah, Achmad Baihaqi; Farabi, Haikal; Sari, Feby Ananta; Abdillah, Waldi; Khadijah, Alyssa Rania
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 8 No. 4 (2024): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v8i4.2024.586-595

Abstract

The freshwater fish farm, developed by the Maju Rukun community in Dusun Karang Ploso, Ngerong, has faced issues with slow fish growth and poor water quality after operating for seven months. These problems are caused by inadequate water circulation systems, resulting in a delayed growth process that normally takes only 3 to 4 months. The situation is exacerbated by poor drainage and high electricity consumption for a 0.5 HP (370 Watt) water pump. The water must be partially replaced with new water on a regular basis to maintain its quality. This procedure increases electricity consumption from the public grid or Perusahaan Listrik Negara (PLN) and raises operational costs by up to 80%, especially during the dry season. To address this issue, a community service project has been carried out to develop a 1.7 kWp hybrid Solar Power Plant. This system is designed to reduce reliance on PLN electricity and to provide additional energy for water circulation using solar panels and batteries. Additionally, this community service also includes training on how to operate and perform maintenance of the installed system for the Maju Rukun community and the locals. Implementing the hybrid power plant has significantly reduced electricity costs from PLN. Moreover, fish farm productivity has increased and contributed positively to the development of renewable energy technology in the fisheries sector.
An Analysis of Hybrid Energy Modelling (Grid and Inverter Based Resources) Using Grid Following Inverter for the Integration of Renewable Energy Generation Mujtahida, Fikarul; Rahmania Putri Ramadhani; Prisma Megantoro; Mohammed Mareai; Muhammad Akbar Syahbani
Journal of Advanced Technology and Multidiscipline Vol. 3 No. 2 (2024): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v3i2.63345

Abstract

The energy dependency of the grid will cause its own problems because the energy generated comes from fossil fuels. On the other hand, centralized electrification using renewable energy has a high risk on frequency and voltage stability. Renewable energy depends entirely on climate conditions and has no inertia to maintain stability. Hybrid energy between grids and Inverter Based Resources (IBRs) are alternative solutions used. The research applies an inverter control scheme to IBRs to be penetrated the grid. The research will apply a zero-export load with electricity requirements to be charged to renewable power plants using grid distribution networks. The inertia less properties of renewable energy will cause interference when combined with the power grid (synchronous generator). It will also be analyzed on this study by applying the following inverter scheme by paying attention to the phase angle and synchronization against the voltage, current and frequency variables of the grid. The results obtained in this study; renewable energy can contribute 90% to the load. This is due to the Losses factor and efficiency system in the plant. Renewable energy generators feed active power to the grid as well as support grids with a Total Harmonic Distortion (THD) indicator of <10%. In the design of this hybrid power system, it is done on MATLAB software with installation configuration in accordance with IEEE standards so that it can be a reference for the installation of real-condition renewable energies with grid. Keywords—Renewable Energy, Grid Following, Green Electricity, Hybrid Energy
Audio-Based Telemetry Using HT Radios for Remote Monitoring of Renewable Energy Systems Perkasa, Sigit Dani; Muzadi, Ahmad Rahmad; Megantoro, Prisma; Pandi, Vighneshwaran
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.181

Abstract

Effective monitoring of renewable energy systems, such as wind turbines and photovoltaic arrays, is essential for optimizing energy production. However, traditional wired monitoring systems are expensive and lack flexibility. This study develops a reliable wireless monitoring system that addresses the limitations of wired alternatives, using a PZEM-004T power meter, Arduino Uno R3, and BF-888S HT radios. The system employs audio-modulated binary encoding for long-range, low-cost data transmission, enabling real-time monitoring of key power parameters, including voltage, current, and power factor. This solution offers scalability and cost-effectiveness by eliminating the need for extensive infrastructure. The methodology involves designing both hardware and firmware for the transmitter and receiver components and developing a communication algorithm to optimize data transfer efficiency. The system was tested in various environments: indoor, outdoor, and radio communication scenarios. Performance varied across environments, with outdoor and higher-floor tests experiencing more significant interference, which impacted transmission quality. The system achieved an average transmission time of 42.64 seconds and an error rate of 0.56% across 16 channels, demonstrating competitive reliability compared to existing wireless systems. Future research could explore adaptive modulation techniques to enhance data reliability in high-interference environments, improving the system's robustness for large-scale deployments.
Optimized Photoplethysmography-Based Classification of Calf Muscle Fatigue Using Particle Swarm Optimization with Logistic Regression Perkasa, Sigit Dani; Ama, Fadli; Megantoro, Prisma
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.182

Abstract

This study investigates photoplethysmography (PPG) as a non-invasive, cost-effective alternative for real-time muscle fatigue monitoring, addressing limitations inherent to conventional methods like electromyography (EMG) and blood lactate testing. A PPG-based system was developed to classify fatigued versus non-fatigued states of the calf muscle using a DFRobot SEN0203 sensor at a 1000 Hz sampling rate. The raw PPG signals were segmented into 1-second intervals and processed to compute first and second derivatives—yielding vascular (VPG) and arterial (APG) photoplethysmograms—which enabled extraction of key features including heart rate (HR), heart rate variability (HRV), peak systolic and diastolic voltages, maximum systolic slope (u), minimum diastolic slope (v), and arterial stiffness indicators (b–a and c–a ratios). A Particle Swarm Optimization (PSO) algorithm was employed to optimize both feature selection and hyperparameters within a Logistic Regression (LR) model, achieving perfect classification accuracy (1.0) with training and prediction times of 0.0053 s and 0.0016 s, respectively. Notably, HRV and the minimum diastolic slope—reflecting autonomic regulation and vascular compliance—emerged as the most influential features with weights of 12.3747 and 23.9367. Comparative analyses revealed that although LightGBM matched the PSO-LR accuracy, neural network approaches performed poorly (0.50 accuracy), likely due to overfitting and limited training data. These findings underscore the viability of PPG for muscle fatigue monitoring, with promising applications in sports science, rehabilitation, and occupational health.
The implementation of Archimedes optimization algorithm for solar charge controller-maximum power point tracking in partial shading condition Perkasa, Sigit Dani; Megantoro, Prisma; Hidayah, Nayu Nurrohma; Vigneshwaran, Pandi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp2769-2785

Abstract

Maximum power point tracking (MPPT) enhances the efficiency of solar photovoltaic (PV) systems by ensuring optimal power extraction under varying conditions. MPPT is implemented in solar charge controllers or hybrid inverters connected to PV arrays. The current-voltage (IV) curve, influenced by temperature and irradiance fluctuations, becomes more complex under partial shading, causing multiple local maxima and reducing efficiency. This study proposes an MPPT technique using the Archimedes optimization algorithm (AOA), a novel metaheuristic inspired by Archimedes' principle. The AOA-based MPPT integrates a DC/DC buck converter controlled by an STM32 microcontroller to address challenges in complex shading conditions. Comparative analysis demonstrates the AOA's superiority in achieving high efficiency and fast convergence. The AOA-based MPPT achieved an average efficiency of 93.17% across shading scenarios, outperforming PSO (87.04%) and non-MPPT systems (84.56%). It also exhibited faster average tracking times of 90.5 ms compared to PSO's 100.5 ms, ensuring robust and reliable performance. These results confirm the effectiveness of the AOA-based method in maximizing energy harvesting in real-world PV applications.
Quantum-Behaved Particle Swarm Optimization-Tuned PI Controller of a SEPIC Converter Perkasa, Sigit Dani; Megantoro, Prisma; Jasmine, Senit Araminta
Control Systems and Optimization Letters Vol 3, No 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i2.186

Abstract

The Single-Ended Primary Inductor Converter (SEPIC) is vital for voltage regulation in dynamic systems like renewable energy and electric vehicles. Traditional PI controllers struggle with tuning complexity and oscillations. This study introduces Quantum-Behaved Particle Swarm Optimization (QPSO) to optimize PI gains (Kp, Ki) for SEPIC converters. QPSO improves global search by using quantum-inspired probabilistic motion, overcoming issues of premature convergence seen in traditional PSO. Four objective functions—ISE, ITAE, IAE, and MSE—were evaluated to balance transient and steady-state performance. ITAE and IAE outperformed others, minimizing overshoot to 1.26% in boost mode and achieving the fastest settling time of 1,872 s. Sensitivity analysis revealed that Ki 2.0 destabilizes the system, while Kp 1.5 increases voltage ripples. The framework is computationally efficient, ideal for embedded applications. Future work should include hardware-in-loop testing to confirm robustness.
IMPLEMENTATION OF HYBRID PLTS AND ELECTRIC BIKES AS AN EFFORT TOWARD GO GREEN TOURISM ON NGIROBOYO BEACH PACITAN Apsari, Retna; Nugraha, Yoga Uta; Megantoro, Prisma; Nurhidayati, Sri Endah; Pujiyanto, Pujiyanto; Samian, Samian; Supadi, Supadi; Firdauz, Grace Constella Anastasya; Na’imah, Syahidatun
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 3 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i3.2025.329-340

Abstract

Ngiroboyo Beach in Pacitan Regency has great potential as a tourist destination because of its natural beauty. In addition to having a distinctive sea panorama and black sand, this beach also has interesting geothermal potential to be developed. The potential of Ngiroboyo Beach, which has not been widely explored, has led to this community service program being carried out to develop geothermal tourism destinations based on renewable energy, with a focus on increasing access to environmentally friendly electricity and improving tourism facilities. The stages of the activity include socialization, training, and mentoring for tourism awareness groups (Pokdarwis) regarding the use of renewable energy through the installation of hybrid PLTS and electric bicycles. The installed hybrid PLTS can produce an electricity capacity of around 400 Watts at peak lighting, as a concrete result of the implementation of this program. The electricity generated through the hybrid PLTS can be used for electricity loads for lights and sound systems to support tourism activities. The training was conducted to strengthen the capacity of the community in managing tourism facilities based on renewable energy. The evaluation results showed a positive response from the participants, who expressed high satisfaction with the implementation of the program. This program is expected to be the first step in promoting the concept of sustainable tourism in Pacitan Regency and supporting sustainable development goals (SDGs), especially in the fields of clean energy and sustainable infrastructure.
Modelling and simulation of maximum power point tracking on partial shaded PV based-on a physical phenomenon-inspired metaheuristic algorithm Megantoro, Prisma; Dona Saya, Joy Sefine; Syahbani, Muhammad Akbar; Fadhilah, Marwan; Vigneshwaran, Pandi
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i3.pp1923-1937

Abstract

Maximum power point tracking (MPPT) is a technique to optimize the photovoltaic (PV) current generation, so it can improve the efficiency of solar energy harvesting. MPPT works by searching the voltage which generates the maximum power, called the maximum power point (MPP). MPP value changes by the fluctuance of ambient temperature and solar insolation level depicted by the I-V curve. Searching the MPP will be more complex if the partial shading is happened. The effect of partial shading will rise to more than one local MPPs. In this research, an optimization algorithm is modeled and simulated the MPPT technique in partial shading. The optimization uses the new metaheuristic algorithm which inspired from a physical phenomenon, called Archimedes optimization algorithm (AOA). The AOA uses mathematical modeling which has convergence capabilities, balanced exploration, and exploitation and is suitable for solving complex optimization technique, like MPPT. The research used varies partial insolation percentage. The implementation of MPPT-AOA compared to other metaheuristic algorithms to analysis its performance in the aspect of PV system parameters and tracking process parameters. The simulation result shows that the AOA can enrich the MPPT technique and improve the solar energy harvesting which is superior to other algorithms.
IMPLEMENTATION OF CLEAN ENERGY TECHNOLOGY SOLUTIONS AT AIRLANGGA COMMUNITY DEVELOPMENT HUB, GILI IYANG ISLAND, MADURA Megantoro, Prisma; Apsari, Retna; Uta Nugraha, Yoga; Fadhilah , Marwan; Atho'illah Assakandary , Achmad; Farabi, Haikal; Rafi Nabil Arsalan , Muhammad; Raka Buana Putra, Dimas
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 4 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i4.2025.507-516

Abstract

Gili Iyang is known as one of the areas with the best air quality in Indonesia. However, increased human activity has the potential to reduce air quality if not managed properly. Environmentally friendly technologies, such as electric vehicles, solar shelters, and air quality monitoring devices, are potential solutions to maintain the sustainability of clean energy in this area. This activity aims to increase public understanding of the importance of environmentally friendly technology, especially electric vehicles, solar shelters, and air quality monitoring, as well as promote the application of this technology in supporting ecotourism. The methods used include electric vehicle training for junior high school students and the installation of solar shelters and air concentration monitoring equipment at the Gili Iyang Assistant Health Center. This approach is designed to provide interactive education and practical solutions to the community. The activity showed a significant increase in junior high school students' understanding of electric vehicles, with 85% of participants understanding the working principles and benefits. Solar shelters can also be very useful in supporting the provision of electricity for residents. Thus, installing air concentration monitoring devices provides real-time information that helps the public and health workers make preventive decisions regarding potential air pollution. This activity increased public awareness about maintaining air quality and implementing environmentally friendly technology. In addition, implementing air monitoring tools contributes to the sustainability of ecotourism in Gili Iyang by combining technology and community-based education.
Co-Authors Abdilah, Waldi Abdillah, Muhammad Hudzaifah Abdillah, Sulthon Yusuf Abdillah, Waldi Abdufattah Yurianta Abdul Abror Abdul Latif Abror, Abdul Afif, Yusrizal Agus Mukhlisin Ahmad Rahmad Muzadi Ahmad Rahmad Muzadi Ahmad Rahmat Muzadi Aldhama, Shofa Aulia Alfian Ma’arif Ama, Fadli Ananta Sari, Feby Andino Maseleno Andrei Widjanarko Antik Widi Anugrah Anugrah, Antik Widi Apsari, Nur Fitri Arfianto, Afif Zuhri Arifin, Mohammad Aldrin Arsalan, Muhammad Rafi Nabil Arya Dwi Kustiawan Athari, Muhammad Hafizh Atho'illah Assakandary , Achmad Awalin, Lilik Jamilatul Awan Uji Krismanto Bandiyah Sri Aprillia Bilah Kebenaran Brahmantya Aji Pramudita Danar Aulia Husnan Diaz Samsun Alif Dimas Dzaky Rafii Muhammad Dimas Febriyan Priambodo Dona Saya, Joy Sefine Dwi Cahyono, Heru Effendi, Yutika Amelia Elsaved Helmy Estiko Rijanto Fadhilah , Marwan Fadhilah, Marwan Farabi, Haikal Fatmawati Fatmawati Firdaus Bima Firmansyah Firdaus Bima Firmansyah Firdauz, Grace Constella Anastasya Gabriel De Brito Silva Galih Bangga Geston Bakti Muntoha Gunawan Setia Prihandana Hafidz Faqih Aldi Kusuma Hafizh Alauddin Atallah Hendra Ari Winarno Herlambang Setiadi Herlambang Setiadi Herri Trilaksana Heru Dwi Cahyono Heru Dwi Cahyono Hidayah, Nayu Nurrohma Hidayat, Niko Azhari Husnan, Danar Aulia I Nyoman Sutantra Ihsan Nurkhotib Indra Sidharta Irfan Helmi Sukmawan Irfan Helmi Sukmawan Irsyad Hilmi Ismayahya Ridhan Mutiarso Ismayahya Ridhan Mutiarso Iswanto Iswanto Iswanto Iswanto Jasmine, Senit Araminta Jati Galih Satrio Khadijah, Alyssa Rania Kunal Kunal Kunal, Kunal Kustanto, Bambang Joko Kustiawan, Arya Dwi Marwan Fadhilah Mian Usman Sattar Mohammad Ghani Mohammed Mareai Muda, Kemal Iskandar Muhammad Abdillah Muhammad Akbar Syahbani Muhammad Akbar Syahbani Muhammad Hudzaifah Abdillah Muhammad Rafi Nabil Arsalan Muhammad Rafi Nabil Arsalan Muhammad Syahril Mubarok Mujtahida, Fikarul Murti, Sri Muzadi, Ahmad Rahmad Nara Atthama Nayu Nurrohma Hidayah Nayu Nurrohma Hidayah Na’imah, Syahidatun Nia Maharani Raharja Nugraha, Yoga Uta Nurarsyah, Achmad Baihaqi NUrina Fitriani, NUrina Nurrohma Hidayah, Nayu Omar Tanane P. Vigneshwaran Pandi Vigneshwaran Pandi Vigneshwaran Pandi, Vighneshwaran Perkasa, Sigit Dani Phong Thanlr Nguyen Pinto Anugrah Porman Pangaribuan Pujiyanto Pujiyanto Pujiyanto Rafi Nabil Arsalan , Muhammad Raharja, Nia Maharani Rahmania Putri Ramadhani Raka Buana Putra, Dimas Rania Khadijah, Alyssa Retna Apsari Rezi Delfianti Rizki Putra Prastio Rizky N. Rachman Robbi Rahim Samian Sari, Feby Ananta Sattar, Mian Usman Saud Al-Humairi, Safaa Najah Sigit Dani Perkasa Sigit Dani Perkasa Sigit Dani Perkasa Silva, Gabriel De Brito Sinta Adisti Reina Sofiah, Amila Sri Endah Nurhidayati Sri Murti Supadi Supadi Syahbani, Muhammad Akbar Syahril Mubarok, Muhammad Syamsul Arifin Syamsul Arifin Tahta Amrillah Tanane, Omar Uta Nugraha, Yoga Vigneshwaran, Pandi Widjanarko, Andrei Winarno, Hendra Ari Yoga Uta Nugraha Yoga Uta Nugraha