Indonesian Journal of Electronics and Instrumentation Systems
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), a two times annually provides a forum for the full range of scholarly study. IJEIS scope encompasses all aspects of Electronics, Instrumentation and Control. IJEIS is covering all aspects of Electronics and Instrumentation including Electronics and Instrumentation Engineering.
Articles
300 Documents
<![CDATA[Pendeteksian Bola untuk Robot Sepak Bola Humanoid Berbasis Pengenalan Pola ]]>
<![CDATA[Fauzi Nur Iswahyudi]]>;
<![CDATA[Bakhtiar Alldino Ardi Sumbodo]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 1 (2017): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.18108
<![CDATA[ Humanoid soccer robot is one of popular developed robot. RoboCup is a competitive competiton of humanoid robot soccer. The rule of RoboCup changed by the time, the previous orange ball changed by white ball which is same color as the field line and the goal. Accordingly, in this research designed a white ball detection system for humanoid soccer robot based on pattern recognition. Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) method are used in this research for feature extraction and classification. The result of this research is a system that be able to detect ball in humanoid soccer robot environment. The system tested by sliding window parameter testing, the distance of ball to robot testing, different light intensity testing, and other object testing. The conclusions of this research are: optimal detection is obtained by using 8x8 win_stride parameter size and 1,2 scale0 parameter value, maximum distance of detection with 32×32 window detector is 180 cm and with 64×64 window detector is 140 cm, the response of system in different light intensity is good enough, and the success rate of system against other obstacle object with 32×32 window detector is 68% and with 64×64 window detector is 99%.]]>
<![CDATA[Implementasi Sistem Kendali PID pada Gimbal Kamera 2-sumbu dengan Aktuator Motor Brushless ]]>
<![CDATA[Tri Kuntoro Priyambodo]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.18238
<![CDATA[Unmanned 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.]]>
<![CDATA[Sistem Pentautan Citra Udara Menggunakan Algoritme SURF dan Metode Reduksi Data ]]>
<![CDATA[Zaki Hamizan]]>;
<![CDATA[Raden Sumiharto]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.18240
<![CDATA[One of the algorithm for aerial image stitching system is SURF (Speeded Up Robust Features). It is a robust algorithm which is invariant to image scale, rotation, blurring, illumination, and affine transformation. Although SURF has good performance, some of the detected keypoints are not always considered as necessary keypoints . As a result, these unnecessary keypoints are needed to be eliminated to decrease computation time.The proposed system uses SURF detector in the detection process. The data reduction method will eliminate couple of keypoints which have near distance each other. Next, the keypoints will be described by SURF descriptor.The description Results further matched using FLANN. The next step is the search pattern with RANSAC homography matrix and stitch the picture to accumulate keypoints using warpPerpective.Stitching system are tested with some variations, such as scale variations, rotation variations, and overlap variations on the image. Based on the result, the proposed Data Reduction method has optimum value of minimal radius from 40 pixels to 100 pixels. The stitching process is still working with up to 90% keypoint number reduction. Average computation time using data reduction method are 39,41% faster than without data reduction method.]]>
<![CDATA[Sistem Klasifikasi Kendaraan Berbasis Pengolahan Citra Digital dengan Metode Multilayer Perceptron ]]>
<![CDATA[Muhammad Irfan]]>;
<![CDATA[Bakhtiar Alldino Ardi Sumbodo]]>;
<![CDATA[Ika Candradewi]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.18260
<![CDATA[The 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%.]]>
<![CDATA[Penerapan Sistem Kendali XY-Stage dan Modulasi Laser Pada Tomografi Fotoakustik Menggunakan Arduino ]]>
<![CDATA[Gong Matua]]>;
<![CDATA[Triyogatama Wahyu Widodo]]>;
<![CDATA[Mitrayana Mitrayana]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.18294
<![CDATA[ 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.]]>
<![CDATA[Pengaruh Latar Belakang Warna pada Objek Gambar terhadap Hasil Ekstraksi Sinyal EEG ]]>
<![CDATA[Catur Atmaji]]>;
<![CDATA[Zandy Yudha Perwira]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.22893
<![CDATA[In this study, observation on the differences in features quality of EEG records as a result of training on subjects has been made. The features of EEG records were extracted using two different methods, the root mean square which is acquired from the range between 0.5 and 5 seconds and the average of power spectrum estimation from the frequency range between 20 and 40Hz. All of the data consists of a 4-channel recording and produce good quality classification on artificial neural network, with each of which generates training data accuracy over 90%. However, different results are occured when the trained system is tested on other test data. The test results show that the two systems which are trained using training data with object with color background produce higher accuracy than the other two systems which are trained using training data with object without background color, 63.98% and 60.22% compared to 59.68% and 56.45% accuracy respectively. From the use of the features on the artificial neural network classification system, it can be concluded that the training system using EEG data records derived from the visualization of object with color background produces better features than the visualization of object without color background.]]>
<![CDATA[Rancang Bangun Sistem Pendeteksi ARTag sebagai Landasan Pacu AR.Drone Menggunakan Platform ROS (Robot Operating System) ]]>
<![CDATA[Bakhtiar Alldino Ardi Sumbodo]]>;
<![CDATA[Ariestyo Rahardian]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 8, No 2 (2018): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.23031
<![CDATA[The development of quadrotor type AR. Drone for research are being developed. One of which is an object detection system based image processing to perform the mission, such as tracking, landing, or detect and pass the object hitch. Accordingly, in this research designed an ARTag detection system based on digital image processing using OpenCV library implemented in ROS platform used to connect the drone to PC which will then be carried out missions to landing. The method used is Thresholding, Contour Detection, and Image Moments.The result of this research is a system that able to detect ARTag objects along with his ID. The system is tested by computing time of the program in the static and dynamic state, detection performance testing in static and dynamic state, detection performance testing of the angle between the ARDrone and ARTag, detection performance testing of the light intensity, and testing landing mission. The conclusions are the optimal height of detection in the static and dynamic state is 150 cm, has excellent reliability to the light intensity, and the ARDrone can perform landing mission with a success rate of 70%.]]>
<![CDATA[Optimasi Kendali PID menggunakan Algoritma Genetika untuk Penerbangan Quadrotor ]]>
<![CDATA[Khalaqas Hakiim]]>;
<![CDATA[Andi Dharmawan]]>;
<![CDATA[Faizah Faizah]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.23937
<![CDATA[Quadrotor 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.]]>
<![CDATA[Sistem Kendali Gimbal 2-Sumbu Sebagai Tempat Kamera Pada Quadrotor Menggunakan PID Fuzzy ]]>
<![CDATA[M Saiful Haris]]>;
<![CDATA[Andi Dharmawan]]>;
<![CDATA[Catur Atmaji]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.24220
<![CDATA[The function of camera gimbal control system that use in this research is to serves with the angle changes that occur due quadrotor maneuver. The PID control with tuning classical method has weakness, which is the PID variable not independently adjust to the environment, thus proposed using PID fuzzy control.Gimbal camera used in this study has a mechanical design with two joint (pitch and roll) and the BLDC motor as actuator. The angle changes that occur in the pitch and roll axis will be a feedback system. Then, fuzzy logic will tune the PID variable based on that feedback.Results of testing the system on 2-axis gimbal camera shows the PID fuzzy control generates better response in parameter risetime, overshoot, and settlingtime compared with PID control. Error input value range of [-30° 30°] and delta error of [-10° 10°] on the pitch and roll axes. The range of the output value for the pitch axis is, Kp at [40.2 46.2], Ki at [10.7 20.7], and Kd of [0.05 to 0.15]. The range of the output value for the roll axis is, Kp at [6.4 16.4], Ki at [17.3 to 27.3], and Kd at [0.08 0.16]. Speed response speed of pitch axis is 0.12 second and the roll axis is 1.07 seconds.]]>
<![CDATA[Rancang Bangun Pembangkit Pulsa Tiga Sensor Ultrasonik Untuk Pendeteksi Kecacatan Beton Berbasis Mikrokontroler ]]>
<![CDATA[Setyo Swasoko]]>;
<![CDATA[Abdul Rouf]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.24276
<![CDATA[NDT 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.]]>
