Jurnal Rekayasa Elektrika
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Simulasi Pelacakan Titik Daya Maksimum Modul Surya dengan Metode Grey Wolf Optimization
Get PDFThe photovoltaic module has a nonlinear current and voltage characteristic curve where there is amaximum power point to be tracked to avoid wasted energy. Some methods for tracking the maximum power pointshave been developed such as perturb and observe (P O), Incremental Conductance (IC), and Hill Climbing (HC).However, those methods were not so accurate to find the maximum power point and they were also slow to respondthe changes in solar radiation and temperature. To overcome the shortcomings of the method, a new optimizationapproach was developed. This method is called Gray Wolf Optimization (GWO). It work based on the wolf behaviorin capturing the prey. In this study, it will be determined to what extent the GWO method can track the maximumworking point of solar modules that undergo changes in radiation and working temperature quickly and accurately.This research was conducted by simulation using Matlab/Simulink by comparing the extract of power GWO methodwith its power characteristics. The results obtained by the GWO method trace maximum power with an averageaccuracy rate of 99.14 % with time less than 0.1 second. From this data, it can be concluded that the GWO methodsuccessfully responds well and accurately to changes in radiation and temperature
Sistem Minimum Berbasis Mikrokontroler ATmega2560 sebagai Sistem Pengaman pada Analogi Lemari Penyimpanan Brankas
Get PDFA minimum system based on ATmega2560 microcontroller has been created that functioned as a safety system in the analogy of the cupboard for storage of the safes. Making the minimum system is done through a number of phases, namely integrating the system, programming against the microcontroller system, and validation test in the form of system performance measurement through giving the forced state. System integration is in the form of installing a device on two lines in the input port and two lines in the output port of the microcontroller. Programming is based on algorithms and the syntax of Arduino IDE-based through 6 (six) stages, namely pins configuration, variable and constants declaration, initialization, main program, retrieved and send data, and output. The validation test is carried out in the form of 4 (four) conditions, namely a) when the RFID module is not detected, b) when the card is detected by the RFID module, c) when the door is opened, and the buzzer is "on", the card is not detected when tagged on the antenna, and d) when the door is forcibly opened, and the buzzer is "on", while the card is detected when tagged on the antenna. Maximizing the security against the door of analogy the cupboard for storage of the safes is detected by the limit switch condition when the door is opened forcefully and the buzzer sounds. For neutralizing conditions for buzzer conditions, it is done through tagging an RFID card through the antenna. The buzzer still sounds, if the blank data is unreadable by the RFID module, while the buzzer can be neutralized if the card was tagged, the data card stored is read by the RFID module
Perbandingan Metode Klaster dan Preprocessing Untuk Dokumen Berbahasa Indonesia
Get PDFClustering is an unsupervised method to group multiple objects based on the similarity automatically. Thequality of clustering accuracy is determined by the number of similar objects in a correct cluster group. The robustpreprocessing process and the choice of cluster algorithm can increase the efficiency of clustering. The objectiveof this study is to observe the most suitable method to cluster document in Bahasa Indonesia. We performed testson several cluster algorithms such as K-Means, K-Means++ and Agglomerative with various preprocessing stagesand collected the accuracy of each algorithm. Clustering experiments were conducted on a corpus containing 100documents in Bahasa Indonesia with a commonly used preprocessing scenario. Additionally, we also attach ourpreprocessing stages such as LSA function, TF-IDF function, and LSA / TF-IDF function. We tested various LSAdimension reductions values from 10% to 90%, and the result shows that the best percentage of reduction ratesbetween 50%-80%. The result also indicates that K-Means++ algorithm produces better purity values than otheralgorithms
Prototipe Robot Kapal Pengukur Tingkat PH dan Turbiditas Air Berbasis Metode Modified Fuzzy
Get PDFThe quality of lake or pond water is usually determined through testing of several water samples inthe laboratory. This certainly takes time especially when the place of measurement is wide enough. This researchdesigned a water quality gauge control based on the Modified Fuzzy method and equipped with pH sensors and turbiditysensors to measure the potential of Hydrogen (pH) and turbidity of water. The Graphical User Interface (GUI) ona laptop was used to control the ship manually and display the measurement results. Wireless control throughBluetooth communication was used to set up the two DC motor as the driving force of the ship. The modified Fuzzymethod was used to divide water quality into 3 categories that are good, not good, and poor. The test results provedthat every command on the GUI can be run by the ship and the measurement results can be displayed directly tothe user. The maximum distance measurement using Bluetooth was 28 meters. The pH sensors and turbidity sensorswere able to measure at any specified location point. The pH value of lake water was measured at each point variesfrom 6.5 to 8, while the measured turbidity values ranged from 5 NTU (Nephelometric Turbidity Unit) to 49 NTU
Deteksi dan Pelacakan Wajah Berdasarkan Warna Kulit Menggunakan Partikel Filter
Get PDFFace detection and tracking are one of the areas which always in progress in many applications such as security system, biometric and so on. However, face detection and tracking can become a complex problem when it is done in real time condition. Many problems are appeared such as dependency the detection result to lightness and diversity of background colour. In this article, we presented a new method to overcome the above problems by using the HSL colour filter (Hue, Saturation, Luminance) combined with the particle filter algorithm. The HSL colour filter detected face based on skin colour with adjusting the threshold of each H, S and L colour. The next step is face tracking using particle filter. It initialised by generating the particle filter randomly around the detected face. The weight of each particle was calculated based on a distance of each particle to face position and resampled to obtain a new particles distribution. The particle with high weight would be selected many times, and particle with small weight would be disappeared. The last process in particle filter is resampling process which was done by averaging the particle's position. The experimental results showed the average error of face tracking using 100, 200 and 500 particles on X and Y axis were (1.25; 1.02), (0.86; 0.81) and (0.59; 0.57) respectively
Rancang Bangun Smart Energy Meter Berbasis UNO dan Raspberry Pi
Get PDFSmart energy meter (SEM) is developed to the transparency goal of energy consumption by consumersfor tariff strategy. The tariff strategy is designed based on the type of consumer load that per-kWh energy pricedifference for linear and nonlinear loads. Energy conscious awareness is built by displaying all load powerconsumption information from consumer loads such as voltage, current, power factor, load properties, load type,power, volt-ampere distortion, power factor distortion, THD, current and voltage waveforms, and harmonicfrequency spectrum. The SEM is designed using ZMCT103C and ZMPT101B for current and voltage sensors,respectively. The SEM security function uses the SW420 vibrating sensor, open/close bolt sensor on the chasing andelectronic lock. The results show that error measurement of the voltage sensor, current sensor, and power factor are0.8%, 1.5%, and 1.0% respectively. The SEM security works well as the information on maintenance and criminalactions are informed on screen and buzzer sound for criminal acts. The tariff strategy for linear and nonlinear loadsis used to calculate the energy cost per-kWh. The details of load energy consumption are stored in a database
Penerapan Modul Surya sebagai Receiver Sistem Visible Light Communication (VLC) untuk Pengiriman Sinyal Audio
Get PDFA solar module as a collector of sunlight that will be converted into electrical energy, so far only usedfor various applications of renewable energy technology. This research proposes and demonstrates the applicationof solar module as receiver of Visible Light Communication System (VLC) as well as collecting energy at the sametime. Using a solar module as a receiver causes the receiver does not require an external voltage source. This studytested the acoustic audio signal transmitted through the VLC system to be received by the solar module as a receiver.The results show that the transmitted audio signal has a signal change as a result of the magnitude/amplitude whosevalue changes with time. The change of voltage level over time causes the LED emission to have different lightintensity. Maximum distance of the signal can be transmitted well at a distance of 120 cm at 656 mV voltage with alight intensity of environmental lighting test of 265 Lx. The maximum angle of the signal can be transmitted well atan angle of 20o at a voltage of 190 mV with a light intensity of the test environment light of 265 Lx. The change involtage values is affected by the LED emission and the light intensity of the test environment light received by thesolar module as a receiver. Testing indicates that the audio signal remains well transmitted even though the lightenergy received by the solar module is in maximum condition
Pengenal Gerakan dengan Joystick Akselerometer Menggunakan Filter Kalman
Get PDFHuman Machine Interaction keeps growing and developing, one of development is through gesture recognition that detects acceleration in a movement. This technology has been applied in joystick Wiimote and Wii-nunchuk by Nintendo that is widely used all over the world. Two main challenges in using accelerometer are to eliminate the noise of the sensor and to cancel the detected gravity acceleration when the joystick is tilted. The noise and gravity acceleration may influence the data reading and create error accumulation, respectively. This work proposes an implementation of Kalman Filter and also a simple technique to eliminate the influence of the gravity acceleration as a solution to solve above problems in using accelerometer of Wii-Nunchuk joystick in Board Arduino Mega 2560. The experimental results in motionless position show that the filter can reduce the gravity acceleration. We have to set the initial value of q and R parameters in the estimation of position, speed, and acceleration using Kalman filter. Once R is decided, the change of q will determine Kk gain, and it will locate the poles of the observer that influence the stability and the estimation result. With R=0.00005 and q=1, the poles of Kalman filter are located in the unit circle so that the estimation is stable and appropriate with the data from the sensor and even cancel the noise