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Rancang Bangun Kontrol Adaptif Suspensi Semi Aktif Seperempat Kendaraan Pada Damper Non Linier Melalui Metode Direct Response Frequency Antonius Rajagukguk,
Teknika Vol 9, No 1 (2008)
Publisher : Teknika

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A suspension stability system will be increase if acceleration of mass vehicle decreases, so that need some control of suspension in order to isolate vibration of mass vehicle by condition of the road.In this thesis, it will discuss about regulator case of adaptive control design thru direct response frequency method for suspension control, with control design of model experiment of disturbance degree of 10 cm and response frequency of 1500 rad/sec, a mass vehicle degree can be decrease to 0.02 cm (0.2%) and vibration of oscillation of 1.5 seconds.

Rancang Bangun Kendali Sistem Inverter Sinusoidal Pulse Width Modulation (SPWM) Frekuensi 25 Hz Dan 50Hz Berbasis Sensor Kelembapan Tanah Mengunakan Arduino Uno R3 Riski Kurniawan; Antonius Rajagukguk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 2 Juli s/d Desember 2020
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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This study aims to create a two-frequency inverter control system, which works based on changes in the value of the soil moisture sensor, as a motor control for automatic plant sprinklers. In this study, the inverter is designed using the Sinusoidal pulse width modulation (SPWM) method, by amplifying the SPWM signal using IC IR2110, so that it is able to run the switching process in the h-bridge inverter circuit, the inverter voltage is increased with a step-up transformer and filtered using a low pass filter. The inverter output frequency is determined based on the YL-69 sensor value, with a control system based on Arduino uno. Based on the results of testing the inverter prototype, in wet soil moisture conditions with a percentage of less than 25%, the inverter is in standby mode, at the moisture content of the moist soil with a percentage between 25-40%, the inverter produces a frequency of 24.61 Hz, while the moisture content is 24,61 Hz. dry soil with a percentage of more than 40%, the inverter produces a frequency of 48,83 Hz. Based on the results of the prototype testing, it can be applied to coaching a single-phase induction motor type water pump in automatic plant sprinklers. Keywords: SPWM, IC 2110, H-bridge inverter, sensor YL-69, low pass filter

Rancang Bangun Data Logger Kecepatan Angin Untuk 4 Level Ketinggian Berbasis Arduino Awang Bagaskoro; Antonius Rajagukguk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Wind energy is one of the renewable energy sources that can be used as a power plant to meet the needs of electrical energy in an area. The potential for wind energy in an area can be determined based on the wind speed. Each area has a wind speed that varies, depending on the shape of the wind trajectory and the obstacles in the area. Therefore, information about wind speed is needed to see the potential for wind energy in an area. This study tries to design a tool that can record wind speed (data logger) with 4 variations in altitude based on the Arduino microcontroller, where the measurement results from the tool will be stored on the SD Card. Measurement of wind speed with altitude variations aims to see at what altitude level wind energy can be utilized. This research was conducted in the Riau University area starting on March 30 - April 5, 2021. The average percentage error of Final Project anemometer readings is 3% compared to standard anemometer readings. The results of measurements in the Riau University area found that the highest average wind speed was 1.80 m/s. While the maximum wind speed during the study was 6.51 m/s. The highest wind potential occurs on Friday with a power of 11.02 W and wind energy of 140.25 Wattday.Keyword : Energy, Wind Speed, Anemometer, Data logger

Rancang Bangun Buck-Boost Converter Berbasis Arduino Pada Pembangkit Listrik Tenaga Surya 8x10 Wp Jeffry Julianto; Antonius Rajagukguk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 2 Juli s/d Desember 2020
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The use of solar panels through the photovoltaic (PV) process is an efficient way to produce electrical energy. The main barriers to the use of solar panels are their low energy conversion efficiency and high initial costs. Solar panels are unregulated DC power sources that produce fluctuating voltages and currents, so they must be controlled properly in order to work as expected. Usually when solar panels are directly connected to a load, the operating point is rarely at its maximum power point (MPP). Maximum Power Point Tracking (MPPT) is used to generate maximum power from solar panels. The DC to DC conversion functions as an intermediary for the solar panels and the load to transmit the maximum power to the load. In this study, MPPT was used with the Perturb & Observe (P&O) algorithm and DC to DC converter with a buck-boost converter type. Based on the test results between simulation and tool implementation, the input voltage of 17.6 V produces an output voltage of approximately 14.4 V for charging a 12 V battery with the maximum power produced by the PV generator. Based on these tests, it can be concluded that the buck-boost converter design based on the Arduino Uno in the 8x10 Wp photovoltaic power plant can work well. Keywords : PV Power Plant, MPPT Perturbation & Observation, Buck-boost Converter, Arduino

Desain Inverter 1 Fasa Pada Pembangkit PV 9 X 10 WP Menggunakan Metode SPWM Dengan Sistem Kontrol Arduino Jhon Lodewyik Situmeang; Antonius Rajagukguk; Eddy Evrianto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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There were several alternatives that can be used to generate electrical energy, one of the ways is by using solar cells, to fulfill the needs of electrical energy. This solar cells utilization very fit with indonesia climate because indonesia has tropical climate, where the sun shines all year round. Not only that, this energy is renewable, clean and environmentally friendly. In other words this energy inexhaustible and safe as long as the sun can shine. The generator that can be used to produce electrical energy called PV, as it is known, PV itself is a generator that produces DC electricity. In this situation, an inverter is needed to be able to convert DC to AC, because all properties used at home require AC power. In this research the researcher use a PV generator source with 90 Watt-Peak power, therefore the inverter is made to adjust the capacity of the PV generator, where the switching process uses the IRF44n type mosfet, with the mosfet driver using IC type IR2110, where the switching process is itself controlled by Arduino with the SPWM method. so that the output of the inverter is an AC voltage with a frequency of 50HzKeywords : PV, Arduino, Switching, Inverter

Analisa Daya Pembangkit Photovoltaic Array 9×10 WP Mendapat Efek Terbayang (Shading Effect) Dwi Prima Putri Utami; Antonius Rajagukguk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The limitations of fossil energy resources in the future as an energy source for electricity generation and that’s effect on environmental pollution make the reason for the transition to renewable energy. Solar energy used in Photovoltaic (PV) systems can be an option for renewable energy generation sources. There are several problems that can interfere with the performance of large-scale PV. One that enhances PV performance is shading on a PV module, that make interferes PV performance. There is a decrease in current caused that problem, thereby reducing the output power of the PV system. This research studied about the effect of shading on the performance of large-scale PV systems through testing a 9 × 10 Wp miniature PV array and simulation using Matlab software. The use of diodes on a PV module can be done to prevent damage to the PV module due to shading. Through the power-voltage (P-V) and current-voltage (I-V) characteristic curves the effect of shading and the use of bypass and of this study note that the bypass diode and blocking diode output power generated by the PV module can be optimal.blocking diodes can be determined. Shading effect gaved in a decrease in power in the PV module. From the resultsKeywords: array, current, photovoltaic, power, voltage

Perancangan Kendali Transformator Multiinput Berbasis Arduino Pada Pembangkit PV 9 X 10 WP Tommy Adrian Sinaga; Antonius Rajagukguk; Fri Murdiya
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 1 Januari s/d Juni 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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There were several issues that could interfere with large-scale PV performance. The shading effect on the PV array caused reduced absorption of solar radiation in the modules in the PV array. The reduced absorption of solar radiation results in a decreased in the voltage on the PV string and disrupted the performance of the PV array system. This study designed a miniature PV farm with a small capacity consisting of 9 PV modules of 10 watt-peaks arranged to form 3 strings and each string consisting of 3 PV modules. This research used a bypass diode circuit and a blocking diode. In this study, the PV output voltage would be classified based on the voltage reading at each PV sting. The voltage at the time of the 3rd string was not exposed to small shading of 53 volts, greater than 36 volts, when 1 string was shade, the resulting voltage was smaller than 35 volts and a larger of 18 volts, while when 2 strings were shade, the resulting voltage is less than 17 volts. The output voltage of the PV is in the form of a DC power source, therefore an inverter was need that could convert it into an AC power source. Due to the small output voltage of the PV to be able to supply the feed load, a step up transformer was need. In this research, the transformer was design to be able to accept various input from PV. So a transformer with a variable input was design with a control on the primary winding to adjust the winding that would be active according to the sensor reading at the transformer input. And in the secondary winding of the transformer, a sensor was also installed to take a reading of the transformer output voltage to keep the voltage ± 220 volts.Keywords: Shading, Voltage, Photovoltaic, PV Farm, Inverter, Transformer

Rancang Bangun Pengendali Sistem Pompa Otomatis Pada Penyiraman Tanaman Berbasis Sensor Kelembaban Dengan Kendali Arduino Joel Fernando Simamora; Antonius Rajagukguk; Eddy Evrianto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 1 Januari s/d Juni 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Along with technological advances in modern times, and the development of science, human needs are also growing. In order to facilitate human work, many technologies have been created using automatic systems. One of them is in the case of automatic plant watering for farmers or garden owners. For this reason, the authors carried out a design of automatic plant sprinklers based on the YL-38 type soil moisture sensor which will be controlled by Arduino. Which later will send a duty cycle to the buck converter to change the voltage automatically according to soil conditions which have been grouped into four parts, namely very dry, dry, humid, and wet. Changes in voltage will affect the rotational speed of the motor according to the needs of the ground. With real time watering, the RTC DS1302 type is used so that this watering will be more scheduled. This watering uses a supply from a 12 volt DC battery with a 12 volt water pump motor load. Keywords : duty cycle, buck converter, arduino, soil moisture sensor.

Optimasi Daya Pembangkit PV Kapasitas 10 KWP Berbasis Algoritma P&O dan Boost Converter Menggunakan Matlab Maryani Aritonang; Antonius Rajagukguk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Using solar panels as a power plant can reduce the dependence of fuel oil. To work always on maximum power points, Photovoltaic (PV) requires optimization method. For this reason, the authors are interested in discussing the optimization method of the PV array model using Maximum Power Point Traking (MPPT) with the Perturbation & Observation (P & O) Algorithm and Boost Converter. In this case, PV capacity will be simulated on 10 kWp. That PV consists of 4 strings. Each strings consist of 10 PV modules. The output of PV modules will be forwarded to the Boost Converter circuit. Boost Converter want is controlled by P&O Algorithm. The voltage and current generated from the PV array modeling will be used by the P&O Algorithm as a reference. The function of P&O Algorithm is to track the Maximum Power Point (MPP) of the PV model. The result of tracking power by P&O Algorithm will be forwarded to Pulse Width Modulation (PWM) circuit as a duty cycle genrator. Duty cycle signal will be forwarded to the switching tool contained in the converter circuit. By that control system, PV model expected has maximum power according to the voltage. Based on the results of power test by 1000 W/m2 radiation, maximum power obtained is equal to 9967 Wp with 99.6 % efficiency at a voltage level of 400 volt. Therefore,it can be concluded that the design of the PV Array System using P&O Algorithm and the Boost Converter can work well.Keywords : Model PV Array, P&O Algorithm, Boost Converter, Optimization

COMPARATIVE ANALYSIS OF MOTHER WAVELET FOR VOLTAGE SAG AND SWELL CLASSIFICATION USING DISCRETE WAVELET TRANSFORM (DWT) AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) Nurhalim; Fera Gustia Handayani; Antonius Rajagukguk; Iswadi Hasyim Rosma; Edy Ervianto
TESLA: Jurnal Teknik Elektro Vol 27 No 2 (2025): TESLA : Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/tesla.v27i2.35672

Power quality disturbances, such as voltage sag and swell, can lead to system instability and equipment damage. In this study, identification is defined as the process of detecting the presence and characteristics of these disturbances through time-frequency feature extraction using the Discrete Wavelet Transform (DWT). A Radial Basis Function Neural Network (RBFNN) is then employed as the classification method to determine the specific type of disturbance (sag or swell).The need for an automated identification and classification system arises because manual monitoring is slow and subjective, whereas industrial applications require rapid decisions based on measurable metrics. The disturbance dataset, specifically comprising voltage sag and voltage swell, was generated through modeling and simulation using MATLAB/Simulink. Features were extracted from the disturbance signals by decomposing them up to 7 levels with the DWT, using four different Mother Wavelets: Daubechies-4 (db4), Haar, Symlet-4 (sym4), and Coiflet-4 (coif4). These feature datasets were then normalized and divided into training, validation, and testing sets to train and evaluate the RBFNN model. Performance was assessed based on Mean Squared Error (MSE), classification accuracy, and the confusion matrix as objective success criteria. The results indicate that all models successfully achieved an MSE below 10-5 and 100% accuracy on the test data, signifying a very low error rate. The model utilizing the Haar wavelet demonstrated the best training efficiency, requiring the fewest epochs. Therefore, this combination is highly recommended for practical power quality monitoring applications Abstrak Gangguan kualitas daya , seperti Voltage Sag, dan Swell, dapat menyebabkan ketidakstabilan sistem dan kerusakan pada peralatan. Identifikasi pada penelitian ini didefenisikan sebagai proses mendeteksi keberadaan dan karakteristik gangguan melalui ekstraksi fitur waktu- frekuensi menggunakan Discrete Wavelet Transform (DWT) dan Radial Basis Function Neural Network (RBFNN) sebagai metode klasifikasi untuk proses menentukan jenis gangguan (sag dan swell). Kebutuhan akan sistem identifikasi dan klasifikasi otomatis diperlukan karena pemantauan manual bersifat lambat dan subjektif, sementara industri memerlukan keputusan cepat berbasis metrik yang terukur. Dataset gangguan, yang secara spesifik mencakup Voltage Sag dan Voltage Swell, dihasilkan melalui pemodelan dan simulasi dengan perangkat lunak MATLAB/Simulink. Fitur dari sinyal gangguan ini diekstraksi dari dekomposisi Discrete Wavelet Transform (DWT) hingga 7 level, dengan empat variasi Mother Wavelet (Daubechies-4, Haar, Symlet-4, dan Coiflet-4). Data fitur tersebut kemudian dinormalisasi dan dibagi menjadi data training, validation dan testing, untuk melatih dan menguji model RBFNN, yang kinerjanya dievaluasi berdasarkan Mean Squared Error (MSE), akurasi klasifikasi dan confusion matrix sebagai kriteria objektif keberhasilan. Hasil penelitian menunjukkan bahwa semua model berhasil mencapai MSE di bawah 10⁻⁵ dan akurasi 100% pada data uji, yang mengindikasikan tingkat kesalahan sangat rendah. Model berbasis wavelet Haar menunjukkan efisiensi pelatihan terbaik dengan jumlah epoch paling sedikit. Oleh karena itu, kombinasi ini sangat direkomendasikan untuk aplikasi pemantauan kualitas daya

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