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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Physical Review Sewagati
Ali Musyafa
Institut Teknologi Sepuluh Nopember (ITS)
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Physics Public Health Social Sciences Other

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Enhanced accuracy estimation model energy import in on-grid rooftop solar photovoltaic Sahrin, Alfin; Abadi, Imam; Musyafa, Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5970-5983

Abstract

Installing rooftop solar photovoltaic (PV) with an on-grid system benefits consumers because it can reduce imports of electrical energy from the grid. This study aims to model the estimation of energy imports generated from on-grid rooftop solar PV systems. This estimation model was carried out in 20 provincial capitals in Indonesia. The parameters used are weather conditions, orientation angle, and energy generated from the on-grid rooftop solar PV system. The value of imported energy is divided into three combinations based on the azimuth angle direction, which describes the type and shape of the roof of the building (one-direction, two-directions, and three-directions). Modeling was done using machine learning with neural network (NN), linear regression, and support vector machine. A comparison of the machine learning algorithm results is NN produces the smallest root mean square error (RMSE) value of the three. Model enhancement uses a grid search cross-validation (GSCV) to become the GSCV-NN model. The RMSE results were enhanced from 53.184 to 44.389 in the one-direction combination, 145.562 to 141.286 in the two-direction combination, and 81.442 to 76.313 in the three-direction combination. The imported energy estimation model on the on-grid rooftop solar PV system with GSCV-NN produces a more optimal and accurate model.
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.
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%.
DEVELOPMENT OF A LITHIUM-ION BATTERY CHARGING SYSTEM UNDER CONSTANT CURRENT AND VOLTAGE CONDITIONS USING STM-32 BASED ON FUZZY LOGIC CONTROL Asy'ari, Muhammad Khamim; Panggabean, David Keyvin Sabam Halomoan; Musyafa, Ali; Ginting, Kevin Bestian
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.409

Abstract

Lithium-ion batteries are electrical energy storage devices often found in portable electronic equipment. Overcharging and discharging the battery will reduce its life and cause severe damage. Constant current and voltage control methods and control algorithms, such as fuzzy logic control, need to be added to avoid this. This research aims to develop a lithium-ion battery charging system using a constant current and voltage method based on fuzzy logic control. A constant current-constant voltage (cc-cv) charging system helps control the charging voltage and current by conditioning the initial charging to use a constant current so as not to overcharge. Constant current uses a buck converter circuit, while constant voltage uses a voltage regulator circuit. The charging system is equipped with a voltage sensor and a current sensor. System control uses fuzzy logic control methods with input variables as errors and delta errors while the output is a duty cycle. The overall system design was carried out at the Measurement, Reliability, Risk, and Safety Laboratory, ITS for 4 months. The test results show that charging the battery produces a voltage of 12.6 Volts and a current of 2.5 Amperes. The battery will be fully charged, and the charging system will stop when the flowing current decreases and the current is cut off at 100 mA.
Co-Authors Andi Rahmadiansah Ashiddiqi, Muhammad Roy Asy'ari, Muhammad Khamim Asyari, Muhammad Khamim Chairul Imron, Chairul Dwi Nur Fitriyanah Elchoir, Najela Rafia Erwandha, Kevin Gica Ginting, Kevin Bestian hadi, harsono Harsono Harsono Hudaningrum, Laila Puji Imam Abadi Norhalimah, Norhalimah Oktavia, Yunaini Istivani Panggabean, David Keyvin Sabam Halomoan Raafi’u, Brian Sahrin, Alfin Saputra, Rivaldi Dwi Pramana Setianingtias, Regina Putri