IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
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Rancang Bangun M2M (Machine-to-Machine) Communication Berbasis 6LoWPAN
Get PDFAt the present time the development of technology enabling communication services without the use of cables its called wireless technology. One such wireless communication technology is M2M (Machine to Machine) communication. In this study, using a protocol 6LoWPAN as the basis of M2M communications, becaused in Zigbee protocol encountered to the weakness such as the value of end-to-end delay and packet loss is greater than 6LoWPAN protocol. Work on this study is desaign system of M2M communication based on 6LoWPAN protocol and compare the data of the performance of 6LoWPAN protocol with Zigbee protocol terms of end-to-end delay and packet loss. Variations of testing is to set the baud rate Xbee 1200 bps, 4800 bps, 9600 bps, 19200 bps, 38400 bps, 57600 bps, 115200 bps. Besides the baud rate, the variation also adjusting the distance between nodes from 10 meter up to 60 meter by 10 meter intervals. Average of end-to-end delay time is 1899 milliseconds on 6LoWPAN, while protocol Zigbee is 422 miliseconds. In the packet loss aspect, in 6LoWPAN protocol not provided because the use of UDP not have an acknowledgement and squence number to track packet loss, while average of packet loss Zigbee protocol is 26%
Sistem Klasifikasi Kendaraan Berbasis Pengolahan Citra Digital dengan Metode Multilayer Perceptron
Get PDFThe evolution of video sensors and hardware can be used for developing traffic monitoring system vision based. It can provide information about vehicle passing by utilizing the camera, so that monitoring can be done automatically. It is needed for the processing systems to provide some information regarding traffic conditions. One such approach is to utilize digital image processing.This research consisted of two phases image processing, namely the process of detection and classification. The process of detection using Haar Cascade Classifier with the training data image form the vehicle and data test form the image state of toll road drawn at random. While, Multilayer Perceptron classification process uses by utilizing the result of the detection process. Vehicle classification is divided into three types, namely car, bus and truck. Then the classification parameters were evaluated by accuracy. The test results vehicle detection indicate the value of accuracy is 92.67. Meanwhile, the classification process is done with phase trial and error to evaluate the parameters that have been determined. Results of the study show the classification system has an average value of the accuracy is 87.60%
Penerapan Sistem Kendali XY-Stage dan Modulasi Laser Pada Tomografi Fotoakustik Menggunakan Arduino
Get PDF Photoacoustic tomography is a system of utilization of the photoacoustic effect is used to obtain image-processing with high resolution and contrast. The purpose of studies is to design a mechanics xy-stage and implement control systems in laser modulation. The system design consists of designing hardware and software. Hardware design includes the design of optical devices and the design of electronic devices using the Arduino microcontroller. Software design using Arduino IDE, Audacity and Matlab. Recording test results showed that the photoacoustic signal peaks on the recording with the samples was higher than the recording unsampled. Based on the test mileage xy-stage mechanical movement using a type of bipolar stepper motor Nema 17, earned mileage (4.046 ± 0.005) mm for the motor movement for one revolution and it takes 25 steps to obtain the distance as far (0.50 ± 0.05) mm used on scanning process. Image-processing has been able to show the results of the image corresponding to the scanning area, the process is carried out on the object-imaging soft tissues such as the pancreas with cell tumor tissue
Optimasi Kendali PID menggunakan Algoritma Genetika untuk Penerbangan Quadrotor
Get PDFQuadrotor is square-form unmanned aerial vehicle (UAV) type with four motor in each arms. Quadrotor has ability to take-off and landing vertically. This research designs and creates a system that capable to stabilize the quadrotor flight also able to maintain roll, pitch and yaw angle using PID controller optimized by genetic algorithm, one of evolutionary algorithms.PID is a common applied controller including to control the quadrotor. Tunning or setting PID parameter process is needed to obtain fit PID parameters. Tunning is very important to reach quadrotor flight stability. This research applies Ziegler-Nichols tunning to obtain PID parameters. Then the PID parameters will be a reference for genetic algorithm optimization process to obtain the suitest PID parameter to control roll, pitch ,and yaw angle.Optimization process result show quadrotor controller capable to reach stability with steady state error for pitch angle in range 2,34 degree conterclockwise to 3,37 degree clockwise, for roll angle in range 2,99 degreee counterclockwise to 2,27 degree clockwise, and for yaw angle in range 8,39 degree counterclockwise to 3,89 degree clockwise
Deteksi Daging Sapi Menggunakan Electronic Nose Berbasis Bidirectional Associative Memory
Get PDFE-nose is an instrument used to detect odor. E-nose developed with Bidirectional Associative memory (BAM) algorithm has advantages in processing incomplete input data and noise. The purpose of the study was to implement the BAM algorithm to detect pure beef among samples of beef, pork, and mixed meat from aroma with e-nose.Data processing of the sample reading results begins by performing the baseline manipulation process, then do difference and integral feature extraction for the data. The characteristic extraction data will be converted into bipolar matrix patterns (1 and -1) so that the threshold data is needed to be able to determine the feature extraction data to be bipolar. Data that have become bipolar matrices will be used as test and reference data in the program with cross validation testing to obtain the percentage of truth of meat detection using BAM based e-nose.Detection of meat with BAM using integral feature extraction with bipolar the first way yields a 14,8% success percentage and the second way bipolar yields a 15,7% success rate. The extraction of characteristic difference with bipolar the first way yields a success percentage of 17,3% and the second way bipolar yields a success rate of 16,4%
Deteksi Ketersediaan Slot Parkir Berbasis Pengolahan Citra Digital Menggunakan Metode Histogram of Oriented Gradients dan Support Vector Machine
Get PDFThis research aims to implement method based on digital image processing to inform the status of parking slots at the car parking area by using a feature extraction HOG (Histogram of Oriented Gradients) method in every region of the parking area. Feature extraction results are classified using SVM (Support Vector Machine) by comparing the Linear, RBF (Radial Basis Function), Poly, and Sigmoid kernels. SVM classification results were analyzed using the confusion matrix with accuracy, specificity, sensitivity, and precision parameters. In terms of accuracy, system obtained with Linear kernel in sunny conditions shows 98.0% accuracy; rainy 98.8% accuracy; cloudy 99.2% accuracy. Obtained accuracy using Poly kernel test in sunny conditions shows 99.2%; rainy 98.9%; cloudy 99.4%. Obtained accuracy using RBF kernel in sunny conditions shows 97.9%; rainy 98.7%; cloudy 99.6%. In terms of accuracy using additional data testing obtained with Linear kernel shows accuracy of 97.7%; RBF kernel 97.9% accuracy; Poly kernel 97.4% accuracy. Sigmoid kernel testing can’t be used because the optimal model did not obtained by using default grid
Implementasi Kalman Filter Pada Kendali Roket EDF
Get PDFEDF (electric ducted fan) rocket is a flying object shapes like bullet with electric ducted fan motor as the booster. This rocket fly autonomously by utilizing accelerometer, gyroscop, and magnetometer sensor to determine the attitude of the rocket against the earth’s gravitational and magnetic field of the earth. In controlling the rocket required a control system capable of controlling a rocket with sensor data that has been processed into the value of the attitude that has been filtered.In this study, designed a filter that will be implemented on the microcontroller rocket. The filters are Kalman filter is implemented while the control used is the control proportional integral derivative (PID) with Ziegler-Nichols tuning method.The result of this research is an implementation of kalman filter to EDF rocket control system. Based on the experiment that has been done, control system using a Kalman filter has a standard deviation value against the value of linear regression on a roll attitude of 2.73, a pitch of 3.03, and yaw of 6.96 degrees. While the standard deviation of the ideal value on a roll attitude of 3.43, a pitch of 2.92 and yaw of 5.21 degrees
Sistem Pendeteksi dan Pelacakan Bola dengan Metode Hough Circle Transform, Blob Detection, dan Camshift Menggunakan AR.Drone
Get PDF Parrot AR.Drone is one type of quadrotor UAV. Quadrotor is operated manually with remote control and automatically using GPS (Global Positioning System), but using GPS in tracking mission an object has disadvantage that can’t afford quadrotor position relative to object. Quadrotor require other control methods to perform object tracking. One approach is utilize digital image processing. In this research is designed detection and tracking ball system with digital image processing using OpenCV library and implemented on platform Robot Operating System. The methods which used is hough transform circle, blob detection and camshif. The results of this research is system on AR.Drone capable of detecting and tracking ball. Based on the test results it was concluded that the maximum distance of system is capable to detecting ball with diameter of 20 cm using hough transform circle method is 500 cm and using blob detection method is 900 cm. Average time detection process to detect the ball using hough transform circle that is 0.0054 second and for blob detection method is 0.0116 second. The success rate of tracking the ball using camshift method from the results of detection hough circle transfom is 100% while from result of detection blob detection is 96.67
Rancang Bangun Pembangkit Pulsa Tiga Sensor Ultrasonik Untuk Pendeteksi Kecacatan Beton Berbasis Mikrokontroler
Get PDFNDT Research conducted to detect any defects on a solid materials. This method is done because not damage the object being tested. Various methods of NDT research also studied, one of which is a multi-transmitter. Multi-transmitter more efficient in scanning objects defective because a more extensive range of sensors. Prioritizing advantages compared with other pulse sources such as AFG, including portable, small radiation, the price relatively cheaper, variety of frequencies that can be generated, and smaller power supplies will be used microcontroller as signal generator.With this concept, generating ultrasonic waves 40kHz emitted by three transmitter input from serial PC to microcontroller and converted into analog signal AD9850 module. Amplitude of the frequency of AD9850 strengthened using LM386, and strengthened again using transfomator ferrite core. And choose sensor, used switches. From research conducted by a few conclusions. Maximum of output voltage AD9850 module is 1.04 V. Maximum output voltage of LM386 is ± 14 V and maximum voltage output of ferrite transformator is ± 170 V. The effective transmitter is SRF04 and maximum input voltage is ± 60 V. Amplitude of wave will be smaller if reflection distance farther, otherwise amplitude increases if the reflection distance is closer
Implementasi Sistem Kendali PID pada Gimbal Kamera 2-sumbu dengan Aktuator Motor Brushless
Get PDFUnmanned Aerial Vehicle has been developed for the benefit in various fields. One of them is in the field of aerial photography. Taking pictures using unmanned aircraft, in addition to a good camera, also requires gimbal camera components as camera stability controller. Gimbal camera as stability controller helps the camera to obtain a better image orientation. Gimbal camera serves to reduce vibration and movement that would interfere with the camera when taking pictures caused by the movement of the drone itself. In an effort to get to the maximum camera stability, it is necessary a control systems. This study developed a camera gimbal control system with PID method. The controller is implemented in a microcontroller and uses a brushless motor as the actuator. The brushless motor is chosen because it has several advantages including the high-efficiency, longer lasting and have a good response. In order to facilitate the search for a constant value control, in this study is used Ziegler-Nichols tuning method. The final tuning on roll angle gives constant values Kp = 0:37, Ki = 0:01, and Kd = 0:29 with average response time = 0.8 seconds. While tuning on the pitch angle gives constant values Kp = 0:55, Ki = 0:01, and Kd = 0:29 with average response time = 0.7 seconds