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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik Elektro Jurnal Teknik ITS IPTEK The Journal of Engineering Dinar: Jurnal Ekonomi dan Keuangan Islam Journal of Applied Information, Communication and Technology (JAICT) Jurnal Desain Interior Journal of Engineering and Applied Technology Sewagati
Imam Abadi
Departemen Teknik Fisika Institut Teknologi Sepuluh Nopember
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Optimal cleaning robot on solar panels with time-sequence input based on internet of things Fitriyanah, Dwi Nur; Saputra, Rivaldi Dwi Pramana; Abadi, Imam; Musyafa, Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp280-291

Abstract

Solar panels are the main component of solar power generation systems, and they function by converting solar energy into electrical energy. Indonesia has great potential for solar energy. Solar panels will work optimally at temperatures of 25 °C to 28 °C. The greater the temperature of the solar panel, the more power generated by the panel. The influence of solar radiation intensity can be caused by dust and animal droppings attached to the surface of the solar panel module. If the surface of a solar panel is covered with dust or dirt, which can block the entry of solar radiation, the resulting power output is not optimal. The aim of this research is to design and implement an automatic cleaning system for solar power plants. The system used is using ESP32 based on the Blynk application and adding internet of things (IoT) devices with a cleaning method using pumped water spraying, then assisted with wipers which have silicon rubber material to clean dust and dirt. Based on the cleaning optimization simulation calculations, we found that the optimal or efficient cleaning condition was once a month, with an efficiency of 75.17%.
Rancang Bangun Oil Spinner Sebagai Peniris Minyak Goreng Otomatis Terintegrasi Panel Surya Dalam Meningkatkan Kualitas Produk Kerupuk Pada UMKM Toko Lestari Lokasi : (Kenjeran Bulak, Surabaya, Jawa Timur) Musyafa, Ali; Abadi, Imam; Harsono, Harsono; Asyari, Muhammad Khamim; Imron, Chairul; Raafi’u, Brian; Ashiddiqi, Muhammad Roy; Rahmadiansah, Andi; Oktavia, Yunaini Istivani; Hudaningrum, Laila Puji; Setianingtias, Regina Putri; Norhalimah, Norhalimah
Sewagati Vol 9 No 3 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i3.2404

Abstract

Kandungan minyak berlebih pada produk kerupuk dapat menurunkan kualitas, mempercepat ketengikan, dan mengurangi daya simpan. Penelitian ini bertujuan untuk merancang dan membangun oil spinner otomatis yang terintegrasi dengan panel surya sebagai sumber energi guna mengurangi kadar minyak goreng pada kerupuk, sehingga meningkatkan kualitas produk secara keseluruhan. Metode yang digunakan meliputi tahap perancangan, pembuatan, pengujian alat, dan implementasi. Sistem ini terdiri dari komponen utama berupa motor pemutar, wadah berputar, dan panel surya sebagai sumber daya utama. Pengujian dilakukan dengan membandingkan kadar minyak sebelum dan sesudah proses penirisan pada berbagai kecepatan putaran. Hasil penelitian menunjukkan bahwa alat ini mampu mengurangi kadar minyak yang teruji dapat berputar dengan kecepatan maksimum sebesar 829,3 rpm dengan minyak yang tertiris sebesar 9,8 mL dalam satu kali proses penirisan. Alat ini memanfaatkan energi surya sehingga lebih hemat energi dan ramah lingkungan dengan kapasitas 150 Wp, baterai dengan kapasitas 12 Volt 100 Ah, dan inverter dengan daya sebesar 300 Watt. Pengembangan lebih lanjut dapat difokuskan pada peningkatan efisiensi sistem tenaga surya dan otomatisasi proses agar lebih optimal dalam skala industri.
A Study on Health, Safety, Environment, and Ergonomics (HSEE) in Solar Power Plant Shafira, Dinda Aulia Ilma; Abadi, Imam
Journal of Engineering and Applied Technology Vol. 6 No. 01 (2025): (March)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v6i01.84689

Abstract

Solar energy has rapidly developed as a renewable energy source, but the aspects of Health, Safety, Environment, and Ergonomics (HSEE) in their operations have remained a concern. This study analysed the risks faced by workers and the environment at the Pantai Baru solar power plant using a risk analysis approach based on primary data from worker questionnaires and secondary data from literature reviews and field observations. The findings showed that the health aspect included heat stress such as prolonged under direct sunlight and exposure to toxic materials, these materials include heavy metals such as cadmium (Cd) and lead (Pb), which are commonly used in photovoltaic (PV) technology to enhance efficiency but are known to be carcinogenic and hazardous even at low doses. The safety aspect covered electrical hazards, fire hazards, and falling risks, all of which were exacerbated by suboptimal working conditions. From an environmental perspective, solar power plants caused ecosystem damage, required large land areas, and faced challenges in recycling solar panels and batteries. Ergonomic risks were also identified, but the questionnaire results indicated that musculoskeletal injuries were not a significant issue for solar power plant workers. This study concluded that most HSEE sub-variables were relevant to the risks associated with solar power plants, except for musculoskeletal injuries. Therefore, implementing risk mitigation strategies, improving workplace design, and enforcing stricter environmental policies were necessary to ensure safe, efficient, and sustainable solar power plant operations.
Design and building of a battery charging system using hybrid solar tracker and electric trip based on FPAO-FLC Abadi, Imam; Musyafa, Ali; Erwandha, Kevin Gica; Fitriyanah, Dwi Nur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2305-2312

Abstract

The proposed system is a hybrid charging system between a solar tracker and an electric grid using two converter types. The photovoltaic (PV)-based solar tracker has powerful tools, but its weakness is when the absence of sunlight. With a combination of two resources, the weakness can overcome. The control so good is needed so that it can overcome those weaknesses too. This study uses the flower pollination algorithm optimization-fuzzy logic controller (FPAO-FLC). Results of control using FPAO-FLC has a value of a rising time of 0.0123 seconds, settling time of 2.1099 seconds, maximum overshoot of 6.08%, a peak time of 0.9246 seconds, and steady-state error of 3.43%. The efficiency of the ZETA converter using FPAO-FLC control in the tracking condition PV compared to the fixed condition has increased 43, 24%, and the state of charge (SOC) of the battery reaches 39.08%. The advantage of the hybrid system is that it offers two automatic operating modes, namely simultaneous and individual. The average total energy obtained from the automatic dual supply mode charging process is 482.86 Wh with a battery SOC reaching 83.9%.
Enhanced performance of PV systems using a smart discrete solar tracker with fuzzy-ant colony controller Abadi, Imam; Elchoir, Najela Rafia; Musyafa, Ali; Hadi, Harsono; Fitriyanah, Dwi Nur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2090-2102

Abstract

A solar tracker is a combination of mechanical and electrical systems that can be used to move a solar panel to follow the sun's direction. This solar tracker system is expected to optimize the output power of photovoltaics. Based on existing research, many solar tracking systems have been developed using active tracking methods to increase the power consumption of the components of solar trackers. Therefore, a passive solar tracking system was used to reduce the solar tracker's internal energy consumption. In this study, a passive smart discrete solar tracker was designed with 3 positions and 5 tracking positions based on a fuzzy-ant colony controller (ACO). The design of a passive solar tracker based on a fuzzy-ACO has a performance index (average) with a rise time of 0.45 s, a settling time of 0.701 s, a maximum overshoot of 0.5%, and a steady-state error of 0.05%. From the design, the 3-position passive solar tracker with fuzzy-ACO control can increase efficiency with a gross energy gain of 42.79% for 10 hours compared to a fixed PV. The 5-position passive solar tracker using fuzzy-ACO control increased the efficiency with a gross energy gain of 43.99%.
Electrical Power Prediction of Polycrystalline Solar Panels based on LSTM Model with environmental influence Sahrin, Alfin; Utami, Erna; Shoffiana, Nur; Abadi, Imam
JAICT Vol. 11 No. 02 (2025): JAICT
Publisher : Politeknik Negeri Semarang

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

Abstract

Solar energy is one of the most promising renewable energy sources that can support the sustainable energy transition. However, the electrical power produced by photovoltaic (PV) panels is greatly influenced by environmental conditions such as irradiation, temperature, humidity, and wind speed, making them volatile and difficult to predict. This study aims to develop a prediction model based on Long Short-Term Memory (LSTM) to estimate the power output of polycrystalline panels. Environmental data is collected in real-time, processed through the normalization stage, and then used as input in several model variants, namely pure LSTM, CNN-LSTM, LSTM-Autoencoder, and GWO-LSTM with metaheuristic optimization. Evaluation was conducted using R², RMSE, and MAPE metrics. The results showed that the pure LSTM model provided good accuracy (R² = 0.95; MAPE = 6.2%), while CNN-LSTM and LSTM-AE improved performance with R² reaching 0.97 and 0.96, respectively. The best model is GWO-LSTM, with R² = 0.98, RMSE = 0.31 kW, and MAPE = 4.3%. These findings prove that metaheuristic optimization in LSTM can increase the reliability of PV power prediction and support a more efficient energy management system.
Design of Bacterial Foraging Interval Fuzzy Logic Controller on Hybrid Solar Tracker-Ocean Wave Energy Converter Dwi Nur Fitriyanah; Imam Abadi
IPTEK The Journal of Engineering Vol. 7 No. 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

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

Abstract

The location of Indonesia which, is crossed by the equator, makes it rich in sunlight. Photovoltaic (PV) can convert solar energy into electrical energy. The Solar Tracker system can maximize the absorption of solar energy that enters the PV. The condition of the Indonesian archipelago also has the potential for ocean wave energy. The Hydrostatic transmission-based Wave Energy Converter system can convert ocean wave energy into electrical energy. This research combines two energies, namely solar energy and ocean waves. The importance of combining these two renewable energies is due to the non-continuous nature of solar energy, therefore combined with the ocean wave energy to maximize the energy produced. A type-2 fuzzy logic control system based on Bacterial Foraging Optimization (BFO) is applied to each converter, summing each converter that has been optimizing. Optimize error and delta error on the solar tracker system and fuzzy logic waveform-based sea-wave type-2 system. The fuzzy boundaries are then optimized using the BFO optimization method. Fuzzy type-2 based on BFO in solar tracking system can increase energy by 67.9% with the best performance at FOU ±0.1. BFO-based type-2 fuzzy control can stabilize the output of the ocean wave conversion system and produce average energy of 34.48 Wh. This research can increase the energy in the system after being optimized using BFO by 19.3%.
Battery Protection System Against Undervoltage and Overvoltage in Off-Grid Systems Photovoltaic Dwi Nur Fitriyanah; Nicken Ayu Febrianti Soeyoto; Imam Abadi
IPTEK The Journal of Engineering Vol. 8 No. 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v8i2.a14009

Abstract

Electrical energy at this time is widely used by most humans, of course also disturbances in the distribution of electricity cause inhibition of daily human activities. Disturbances that occur can be classified into various kinds, one example is Undervoltage and overvoltage. Of course, these disturbances can arise when the use of electrical loads that are sensitive to damage. To secure electrical loads that are sensitive to damage, a control system is made overvoltage and undervoltage using a microcontroller Arduino Mega and the actuator is a relay. This research tries to solve the problem of over voltage, under voltage, and unbalanced voltage with a visual basic-based voltage protection system. This system research uses visual basic as an interface and as a data logger to facilitate operators in analyzing disturbances, and with the help of the Arduino Mega2560 microcontroller which can be used to process and send data to the visual base. Thus, this research is expected to help users to e easily monitor and analyze disturbances.
Design of IoT-Based One Axis Passive Solar Tracker Dwi Nur Fitriyanah; Bramasta Ghozi Abyrahman; Imam Abadi
IPTEK The Journal of Engineering Vol. 10 No. 3 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a17792

Abstract

Photovoltaic (PV) is a device that has the ability to convert solar energy into electrical energy. The most popular way to improve performance in PV is to add solar tracker technology. There are 2 solar tracker methods, namely passive and active, in this study focuses on the passive method where the slope angle of the PV is calculated using astronomical calculations. The difference in previous research is that the PV tilt angle can be adjusted via cellphone, it has a function if the Tracker system is damaged it can be replaced first using this system. In this study, the INA219 sensor is used to measure the current, voltage, and power at the PV output, and the GY52MPU 6050 sensor is used to measure the PV slope. The results obtained from this study are the accuracy value of the INA219 sensor is 98.67% for power and 97.67% for current and there is an error of 1.33% for power and an error of 2.33% for current values. There is also an accuracy value of the GY52MPU6050 sensor which is 99.6% and an error of 0.4%. IoT is also carried out where if the current value is greater, the delay that occurs is also higher. There is also an increase in performance between fixed-based and tracker by 21% in sunny conditions, and 15% in cloudy conditions.
Co-Authors Adi Soeprijanto Ali Musyafa Andi Rahmadiansah Aparamarta, Hakun Wirawasista Aparamarta, Hakun Wirawasista Ardyono Priyadi Arief Abdurrakhman Ashiddiqi, Muhammad Roy Asyari, Muhammad Khamim Aulia Siti Aisjah Bandung Arry Sanjoyo Bima Mustaqim Bramasta Ghozi Abyrahman Chairul Imron, Chairul Doty Dewi Risanti Dwi Nur Fitriyanah Elchoir, Najela Rafia Ema Umilia Erwandha, Kevin Gica Fauzan Nusyura Fredy Kurniawan hadi, harsono Harsono Harsono Harus Laksana Guntur Hertiari Idajati, Hertiari Hudaningrum, Laila Puji Jatayu, Anoraga Mahardika F. Rois Mahendra Wardhana, Mahendra Mochamad Wahyu Ardiatama Mohammad Herli Muchammad nurif, Muchammad Mulyadi, Yeyes Nicken Ayu Febrianti Soeyoto Norhalimah, Norhalimah Nur Fadhilah Oktavia, Yunaini Istivani Putu Gde Ariastita Raafi’u, Brian Rezi Delfianti Riftyanto N.S. Sahrin, Alfin Saputra, Rivaldi Dwi Pramana Sayyida Sayyida Setianingtias, Regina Putri Shafira, Dinda Aulia Ilma Shoffiana, Nur Tegar Ganang Satrio Priambodo Utami, Erna