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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

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%.

Implementation Of Fuzzy Logic in The Dissolved Oxygen and pH Control System to Reduce the Risk of Death of Cyprinus Carpio Fish Setyabudi, Jinna Elvaretta Aqilah; Aisyah, Putri Yeni; Fitriyanah, Dwi Nur; Radhy, Ahmad; Pratama, I Putu Eka Widya; Wiratama, Maulana Andra
IPTEK The Journal of Engineering Vol 11, No 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i2.a22996

Cultivation of Cyprinus carpio, commonly known as the goldfish, in aquariums requires strict monitoring of water quality to maintain the fish's health and ensure its survival. Key parameters such as dissolved oxygen and pH greatly affect the aquatic environment, where imbalances can lead to stress or death. This study aims to design and implement a dissolved oxygen and pH control system using fuzzy logic as an alternative to traditional PID-based or rule-based systems commonly used in aquaculture. The proposed system automatically detects water conditions (LOW, NORMAL, HIGH) and activates appropriate control responses. It integrates an SEN0237 dissolved oxygen sensor, an E-201C pH sensor, aerators, dosing pumps, and an Arduino-based microcontroller. Sensor data is processed via fuzzy inference to operate actuators—either to increase oxygen levels or inject buffer solutions for pH normalization. Unlike previous studies that focus on single-parameter control or fixed-response systems, this system offers a dual-parameter adaptive control approach. Experimental validation shows that the system maintains pH at 6–7 and DO at 3–4 mg/L, with sensor accuracy exceeding 95%. Over 10 days, fish survival improved in the controlled aquarium (7/10) compared to the uncontrolled aquarium (5/10). The system demonstrates potential to reduce water quality fluctuations, offering hope for a more stable aquaculture environment. This work contributes to the application of fuzzy logic in small-scale innovative aquaculture systems, highlighting its potential advantages over conventional methods.

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

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 ECU (Electronic Control Unit) to Maintain Stability of Biogas Fuelled Generator Totok Soehartanto; Dwi Nur Fitriyanah; Putri Yeni Aisyah
IPTEK The Journal of Engineering Vol. 6 No. 3 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

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Biogas fueled generator has a unique character because the converter kit on the generator has the characteristic of absorbing the biogas supply. Therefore, in this study, biogas is accommodated in a plastic container equipped with a valve that can adjust the amount of biogas supply pressure. Combustion in the Genset combustion chamber will occur if the ratio of air supply and supply of biogas (AFR = Air to Fuel Ratio) meets the stoichiometric number. So a ratio control is needed on air supply and biogas supply, which can follow changes in biogas conditions in plastic bags and generator loads. For this reason, this paper presents an ECU (Electronic Control Unit) that can regulate the ratio of air supply to biogas supply by using a servo motor valve, which is commanded by a control signal from the ECU. The resulting ECU prototype is equipped with a multi-input connector (to receive the signal output of CH4 methane gas sensor and the biogas supply pressure sensor), multi-output (control signal to the servo motor valve), and multi regulators to adjust the Set Point value for the methane gas content CH4, the value of the set point of the biogas supply pressure and to tune the value of the proportional gain control (KP). The results of the ECU performance test by trial and error by giving a dummy input signal (analogy to the signal output of methane gas sensor and the analog of the pressure sensor output signal in the form of an electric voltage generated from the signal generator) can drive the servo motor, valve air supply, and servo motor, valve supply biogas. Accordance with the gain control input from the regulator.

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

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

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

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.

Implementation Of Fuzzy Logic in The Dissolved Oxygen and pH Control System to Reduce the Risk of Death of Cyprinus Carpio Fish Jinan Elvaretta Aqilah Setyabudi; Putri Yeni Aisyah; Dwi Nur Fitriyanah; Ahmad Radhy; I Putu Eka Widya Pratama; Maulana Andra Wiratama
IPTEK The Journal of Engineering Vol. 11 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i2.a22996

Cultivation of Cyprinus carpio, commonly known as the goldfish, in aquariums requires strict monitoring of water quality to maintain the fish's health and ensure its survival. Key parameters such as dissolved oxygen and pH greatly affect the aquatic environment, where imbalances can lead to stress or death. This study aims to design and implement a dissolved oxygen and pH control system using fuzzy logic as an alternative to traditional PID-based or rule-based systems commonly used in aquaculture. The proposed system automatically detects water conditions (LOW, NORMAL, HIGH) and activates appropriate control responses. It integrates an SEN0237 dissolved oxygen sensor, an E-201C pH sensor, aerators, dosing pumps, and an Arduino-based microcontroller. Sensor data is processed via fuzzy inference to operate actuators—either to increase oxygen levels or inject buffer solutions for pH normalization. Unlike previous studies that focus on single-parameter control or fixed-response systems, this system offers a dual-parameter adaptive control approach. Experimental validation shows that the system maintains pH at 6–7 and DO at 3–4 mg/L, with sensor accuracy exceeding 95%. Over 10 days, fish survival improved in the controlled aquarium (7/10) compared to the uncontrolled aquarium (5/10). The system demonstrates potential to reduce water quality fluctuations, offering hope for a more stable aquaculture environment. This work contributes to the application of fuzzy logic in small-scale innovative aquaculture systems, highlighting its potential advantages over conventional methods.

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