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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) ELINVO (Electronics, Informatics, and Vocational Education) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SENTIA 2015 INTEK: Jurnal Penelitian Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Indonesian Journal of Electrical Engineering and Computer Science Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Pengabdian kepada Masyarakat POLIGRID Jurnal Rekayasa elektrika
Farid Dwi Murdianto
Politeknik Elektronika Negeri Surabaya
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Adaptive charging control using ANN-PID controllers on multiple DC loads with varying battery voltages Indhana Sudiharto; Farid Dwi Murdianto; Ayu Wulandari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp620-630

Abstract

Various rechargeable electronic devices currently have batteries with different capacities and voltages, while the available chargers are generally fixed for one device. This is considered less effective because different types of electronic devices will require different battery chargers. Therefore, the adaptive power charge is needed to recharge batteries with different voltages and capacities through a single port by adjusting the type of load connected. This system uses buck converter with duty cycle settings through microcontrollers to lower the input voltage to variable output voltage. When the load is connected, the limit switch will be depressed and the system will start the duty cycle tracking process. The voltage will be increased gradually until the current is read at a certain value to identify the load. After the current reads the duty cycle stops tracking, then the current and voltage characteristics are used as input variables for the artificial neural network (ANN) algorithm to determine the target setpoint voltage to be executed by the proportional, integral and derivative (PID) controller. The designed adaptive power charge can identify the connected load accurately. The average ANN output error is 1.46e-4% and the average PID controller error is 6.4e-2%. The system can reach a steady state at 0.01 s.
AC-AC Voltage Controller of Power Supply for Heater on Drying System Renny Rakhmawati; Farid Dwi Murdianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.5194

Abstract

The coconut fruits is very useful to be processed into cooking oil and it can meet the needs of cooking for Indonesia people, But before the coconuts processed into oil, The coconuts should be dried first. Usually the drying process is manually, that is dried in the sun. Unfortunately this way is not hygienic and can’t be done continuously, causing the coconut fungus overgrow. This paper proposes methode to solve the problem above.This research makes the dryer coconut fruitssystem by using the heater.Dryer system used for dry some coconut fruits that must be reduced the water content up to 5%, this dry coconutis called copra. System requires heater which will be regulated the temperature. Heater temperature setting is done by adjusting the heater supply voltage, and this is the task of ac to ac voltage controller. Ac to ac voltage controller is a circuit converter is capable converting ac voltage with value 220 Vrms at 50 Hz frequency and have waveform pure sinusoidal become ac voltage frequency at 50 Hz with an output voltage suitable with our need but the voltage waveform not impure sinusoidal or defective as a result firing angle effects. The output voltage which we set determines the value of the heater temperature. The output voltage is set from the firing angle of the triac component using the addition and decreasing angle values. Based on the results of experiments that have been done, if the drying chamber which has volume 135.2 liters and the temperature regulated at 700 C then the heater with a power requirement of 400 W should receive supply 216 V from ac to ac voltage controller. So the triac of ac to ac voltage controller fired on 0.55 radians so that the to ac voltage controller that gets 220 V input voltage can produce 216 V output voltage.
Various and multilevel of wavelet transform for classification misalignment on induction motor with quadratic discriminant analysis Pressa Perdana Surya Saputra; Misbah Misbah; Hendra Ariwinarno; F. D. Murdianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14827

Abstract

Induction motors have become a major part of the industry because of strong construction, cheap in purchasing and maintenance, high efficiency, and easy to operate. Preventive maintenance must always be carried out on all industrial equipment, including induction motors to last long and prevent further damage. Based on research in the industry, around 42%-50% or almost 50% is bearing damage. One reason is the occurrence of misalignment during the installation of the load on the induction motor. This study tries to identify the condition of the motor and classify the level of misalignment damage that occurs. In the process, the mother wavelet like as Daubechis, Symlet and Coiflet discrete wavelet transform (DWT) are selected as tools in processing motor vibration data. The level of DWT applied is 1st to 3rd level. Then, the three types of signal extraction, namely sum, range, and energy, which are obtained from a high-frequency signal of DWT, are used as input to Quadratic and Linear Discriminant Analysis. Then, discriminant analysis analyzes and classifies them into normal operation and two misalignments conditions. The simulation shows that 1st level of Daubechis DWT combined with quadratic discriminant analysis generates the best classification. It results 0% error of classification with Db3, Db4 and Db5, 4.17% error with Db1 and 8.33% error with Db2.
Power factor improvement on LED lamp driver using BIFRED converter Moh. Zaenal Efendi; Farid Dwi Murdianto; Fito Ardli Fitri; Luluk Badriyah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.13160

Abstract

This paper presents the implementation of a power converter to improve power factor for LED lamp driver. The power converter which used in this system is the integration of boost and flyback converter (boost integrated flyback rectifier energy storage DC-DC/BIFRED). The boost converter as power factor correction (PFC) works on discontinuous conduction mode (DCM) operation to make the resistive converter. Thus, when a rectifier circuit supplies a resistive load, the load current that flows back to the source will have the same waveform as the voltage and it makes the power factor value next to 1 (unity). According to experiment results, the BIFRED converter as LED lamp driver can improve power factor from 0.84 to become 0.98 and this driver circuit also meets the line-current harmonic limits set by IEC61000-3-2 class C.
Permodelan dan Simulasi MPPT-Bidirectional Menggunakan Fuzzy Mamdani pada Sistem Energi Pembangkit Terdistribusi Farid Dwi Murdianto; Dwi Lastomo; Soedibyo Soedibyo; Ontoseno Penangsang; Imam Robandi
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.296 KB)

Abstract

Sistem Photovoltaic (PV) banyak digunakan dalam berbagai aplikasi energy terbarukan. Masalah utama pada sistem PV adalah bagaimana cara memaksimalkan daya yang dihasilkan. Selain masalah tersebut kelebihan daya yang dihasilkan oleh PV pada suatu sistem distribusi juga perlu diperhatikan. Paper ini memanfaatkan kelebihan daya PV untuk penyimpanan energy  menggunakan Bidirectional  konverter. Setelah itu tegangan DC  yang dihasilkan oleh  PV  dan penyimpan energy  akan diubah menjadi tegangan  AC  menggunakan  inverter menujubeban.  Paper  ini mengusulkan metode Fuzzy  Mamdani  dalam pengoptimalan pencarian titik daya maximum menggunakan SEPIC converter dengan efisiensi maximal 99.9%.
Maximum Power Point Tracking Interleaved Boost Converter Using Cuckoo Search Algorithm on The Nano Grid System Taufik Hidayat; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 1 (2021): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i1.160

Abstract

The problems of using solar panels include the power and efficiency that can be achieved by solar panels during conditions where the surface of the solar panel is covered by shadows, because the performance of the solar panels is affected by the amount of sunlight received and the temperature of the solar panels. Then, a solution appears to overcome the problem, called Maximum Power Point Tracking or a technique to get the maximum output power from solar panels. Initially, MPPT worked with conventional methods, one of which was Perturb and Observe. Furthermore, the MPPT method on solar panels continues to develop to solve problems during partial shade conditions. The development of this conventional method is called the metaheuristic method, an example of which is the Cuckoo Search Algorithm method implemented in this research. This method is characterized by the Levy Flight equation in generating duty cycle values so that it can reach the maximum peak power of solar panels. The system built in this research is also supported by the highly efficient Interleaved Boost converter. Based on simulation results show that the power that can be generated by the MPPT Cuckoo Search Algorithm is higher than the MPPT Perturb and Observe, which is 121.23 W compared to 72.38 W.Keywords: automatic, humidity sensor YL-69, microcontroller, mint leaves, nourishing system, watering system, RTC.
MPPT Full Bridge Converter using Fuzzy Type-2 Annas Budi Prastyawan; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.197

Abstract

Renewable energy application using Photovoltaic (PV) is developed as a conversion from solar energy into electrical energy. PV produces output power according to irradiation and temperature conditions. PV has a Maximum Power Point or MPP based on P-V characteristic curve. In certain conditions, PV has an unstable output power then the accuracy of the power generated is not maximum. MPPT method with conventional control is not optimal to resolves power inaccuracies in the system. When the system has a circuit problem, the conventional power converter will be damage. To achieve accuracy and maximize PV output, the Maximum Power Point method will find MPP. Using MPPT Fuzzy Type-2 method on the converter can reliably overcome the inaccuracies and tracking speed of PV power. Full Bridge Converter topology is used as a safety circuit with a high-frequency isolation transformer. Implemented on MATLAB/Simulink software, Simulation results in Model 1 show that the average power accuracy with Fuzzy Type-2 is 91.40% compared to Fuzzy Type-1 with an average power accuracy of 80.64%. In Model 2, Fuzzy Type-2 is 87.63% compared to Fuzzy Type-1 of 77.93%. MPPT method using fuzzy type-2 is better than using fuzzy type-1 in terms of power accuracy.Keywords: full bridge converter, fuzzy type-2, MATLAB/Simulink, maximum power point tracking, photovoltaic.
Balancing Charging System Using Adaptive Neuro-Fuzzy Inference System Based On CUK Converter Mohammad Fajar Setyawan; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.199

Abstract

In a battery set, there is always a voltage difference caused by charging and discharging. Therefore, it is necessary to pay attention to the condition of the battery or State of Charge (SOC) so that it is in a balanced state between the batteries. Unbalanced battery conditions result in decreased performance of the battery. For that we need a balancing circuit that works actively with the help of a DC-DC converter. DC-DC converters generally have a principle like a buck-boost converter to increase and decrease the output voltage, however the output still has a fairly large ripple in the waveform. Therefore, the CUK converter is used which is a development of the buck-boost converter topology, where the output of this CUK converter has smaller ripples because it uses two capacitors and two inductors. Of the various methods used to adjust the duty cycle of the CUK converter, a precise and accurate algorithm is needed to overcome the instability of the converter output. The method used to adjust the duty cycle uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm as the development of the Fuzzy method. The system is implemented using MATLAB Simulink software. The simulation results show that the output of the CUK converter with the ANFIS method has a faster response speed reaching a set point of 1.95 × 10-4 seconds and the accuracy of the output voltage with ANFIS is 99.94% while the accuracy of the output converter current using ANFIS is 65.7%.Keywords: ANFIS, balancing, battery, CUK converter, state of charge (SOC).15
CC-CV Controlled Fast Charging Using Fuzzy Type-2 for Battery Lithium-Ion Ahmad Zidan Falih; Mohammad Zaenal Efendi; Farid Dwi Murdianto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.200

Abstract

Energy dependency is increasing along with the increase in population growth rate, while the fossil energy is decreasing. Alternative energy such as solar energy is one solution to provide renewable energy, but solar energy cannot provide an intense supply of energy. Therefore, the equipment needs an energy storage. The battery has important role in energy storage with the performance of the battery that need an attention. The method and type of battery used  must be considered to maintain battery lifetime and  reduce overcharging. The purpose of this research is to understand the process of fast charging the CC-CV (Constant Current Constant Voltage) method on Lithium-Ion battery which is expected to reduce battery overcharging. In this method, the current is maintained constant until certain conditions then followed by constant voltage to prevent overcharging. The voltage from the solar panel is very high, voltage reduction is needed as the charging voltage for the battery. The DC-DC Converter used is Buck Converter which is given Fuzzy Type-2 algorithm to maintain a current of 10 Ampere during CC conditions and  a voltage of 14.4 Volt during CV conditions with switch of CC conditions to CV conditions on SoC 99.25%.Keywords: battery charging, buck converter, CC-CV, lithium-ion, type-2 fuzzy.
Perbaikan Frekuensi Dan Tegangan Pada Sistem Single Machine Menggunakan Umpan Balik Linear Quadratic Gaussian Dengan Penambahan PID Controller Farid Dwi Murdianto
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 7 No. 1 (2016): April 2016
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v7i1.77

Abstract

Ganguan pada SMIB dapat bersifat ganguan transient ataupun dinamik. Ganguan yang bersifat dinamik mengakibatkan sistem menjadi tergangu dan tidak stabil. Untuk mengatasi hal tersebut perlu untuk mengetahui perilaku sistem dinamik dan sistem kendalinya. Untuk mengatasi ganguan sistem dinamik pada sistem tenaga listrik dilakukan perbaikan frekuensi dan tegangan akibat perubahan beban[2]. Perbaikan frekuensi dan tegangan pada sistem tenaga listrik dilakukan dengan cara menambahkan umpan balik Linear Quadratic Gaussian (LQG). Dengan menambahkan umpan balik LQG pada sistem akan memberikan respon frekuensi dan tegangan menjadi lebih cepat dan lebih stabil. Dengan penambahan PID controller respon tegangan dan frekuensi akan lebih cepat dari kondisi transient menuju steady state.
Co-Authors -, Irianto -, Suryono -, Sutedjo Ahmad Firyal Adila Ahmad Zidan Falih Amir Muhyidin Anang Budikarso, Anang Andraeni, Azzahra Farah Annas Budi Prastyawan Arman Jaya Arman Jaya Ayu Wulandari Ayu Wulandari Diah Septi Yanaratri Dimas Okky Dui Agusalim, Imam Dwi Lastomo Eka Prasetyono, Eka Eko Hadi Suharyanto, Hendik Endro Wahjono Endro Wahjono, Endro ENI WULANDARI Epyk Sunarno Era Purwanto Ferdiansyah, Indra Fito Ardli Fitri Hendik Eko Hadi Suharyanto Hendra Ari Winarno Imam Dui Agusalim Imam Robandi Indhana Sudiharto Indra Ferdiansyah Irianto Irianto Irianto Irianto Karso, Anang Budi Lavia Isnani Lucky Pradigta Lucky Pradigta Setiya Raharja Luki Septya Mahendra Luluk Badriyah M Chaninul Fuad Mentari Putri Jati Misbah Mochamad Ari Bagus Nugroho Mochamad Ashari Mohammad Fajar Setyawan Mohammad Zaenal Efendi Mufa’ary, Neily Itsqiyah Nizar, Ahmad Hisam Ontoseno Penangsang Ontoseno Penangsang Ony Asrarul Qudsi Pressa Perdana Surya Saputra Prilian Eviningsih, Rachma Proboningtyas, Dewinta Dwi Putri, Berliana Rahma Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih Rakhmawati, Renny Ramadani, Fahri Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rusli, Muhammad Rizani Septi Yanaratri, Diah Setiya Raharja, Lucky Pradigta Soedibyo Soedibyo Soedibyo Soedibyo Suryono Suryono Sutedjo Sutedjo Suyanto Suyanto Syechu Dwitya Nugraha Taufik Hidayat Taufika, Putri Wahdjono, Endro Widyasavitta, Vena Chika Yeheskiel Rante Payung Zulfa, Wildana