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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IPTEK The Journal of Engineering Bulletin of Electrical Engineering and Informatics Sewagati
Dwi Nur Fitriyanah
Institut Teknologi Sepuluh Nopember
Arts Humanities 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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Journal : iptek the journal of engineering

 1 
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 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v6i3.a7264

Abstract

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 : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v7i2.a9250

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%.
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

Abstract

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.
Implementation Of Fuzzy Logic in The Dissolved Oxygen and pH Control System to Reduce the Risk of Death of Cyprinus Carpio Fish Setyabudi, Jinan 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 : Pusat Publikasi Ilmiah, Institut Teknologi Sepuluh Nopember.

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

Abstract

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.
Co-Authors Adhista Widya Nandasari Aisyah, Putri Yeni Aisyah, Putri Yeni Alansyah, Charismatulloh Yusuf Ali Musyafa Arief Abdurrakhman Ashiddiqi, Muhammad Roy Asrifatin, Syarifah Ambarani Elchoir, Najela Rafia Erwandha, Kevin Gica hadi, harsono Hija, Akhmad Ibnu I Putu Eka Widya Pratama Imam Abadi Iswahyudi, Anggi Pradhita Khoiroh, Siti Ni’matul Leyli Lathifatul Azizah Mahmudah, Juwita Maulidina Maulana, Muhammad Haffidh Mujiyanti, Safira Firdaus Nabiilah Azizah Tjandra Nanta, Tepy Lindia Nasrirrokhim, Muhammad Hisbun Oktafandi, Ken Andre Patrialova, Sefi Novendra Prakuso, Gilang Dwi Pratama, I Putu Eka Widya Putri Yeni Aisyah Radhy, Ahmad Raditya, Murry Rico Pardona Pardosi Rohid, Abdul Safira Firdaus Mujiyanti Saputra, Rivaldi Dwi Pramana Setyabudi, Jinan Elvaretta Aqilah Setyabudi, Jinna Elvaretta Aqilah Totok Soehartanto Tsurayya Alifia Zahrah Wahyu Wijayanti Wijayanti, Monica Intan Wiratama, Maulana Andra Yanuari Rizqii Waahidah Zanuar, Muhammad