IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
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Purwarupa Sistem Kendali Kestabilan Pesawat Tanpa Awak Sayap Tetap Menggunakan Robust PID
Get PDF This study has implemented stability control system of Unmanned Aerial Vehicle (UAV) using robust PID. The aircraft stability refers to wind against in glidding condition with straight movement. Robust PID used to control aircraft motion system. Control parameters obtained from the IMU sensor roll, pitch and yaw. IMU data are computed using DCM algorithm that produces Eulerian angles. Type PID control is determined by Ziegler-Nichols methods theory of oscillations. Control system are varied three types, there are P, PI, and PID. The results have the best type of PID control with D constant value = 0 for each motion systems. PID constant value used for the aileron Kp = 2,93, Ki = 2,808 and Kd = 0, elevators Kp = 2,02, Ki = 1,731 and Kd = 0 and rudder Kp = 1,35, Ki = 0,9 and Kd = 0. Robust method using ISE (Integral Squared Error) which replaces integral PID control error. The system was tested using two mode. Mode A (Manual-PID-RobustPID) and mode B (Manual-RobustPID-PID). The result of robust PID methods is able to make the system response to disturbances better than regular PID that increase the settling time of aileron 63.67% , elevator 41.42% and rudder 57.33%
Implementasi Optical Character Recognition Berbasis Backpropagation untuk Text to Speech Perangkat Android
Get PDF Procedures using text to speech application on a mobile device generally at this time is user must manually enter the word to be actualized in speech. In this study, designed a words input system for text to speech application using digital image processing. This system makes users simply to do the words capturing that will be voiced without manually typing in the text area input.The method used in this system includes image acquisition, image pre-processing, character segmentation, character recognition, and integration with text to speech engine on mobile devices. Image acquisition was performed using the camera on a mobile device to capture the word to be entered. Character recognition using back propagation algorithm. Image processing system successfully created and then integrated with Google Text to Speech engine.Character recognition system in this study using a model of neural networks (ANN) with an accuracy of 97.58%. The system is able to recognize some types of font that is Arial, Calibri, and Verdana. The mean recognition accuracy on the test sample used in this study 94.7% with distance shooting conditions within the range 3-8 cm and the camera upright position facing the letter
Klasifikasi Kemurnian Daging Sapi Berbasis Electronic Nose dengan Metode Principal Component Analysis
Get PDFMeat is a widely consumed food, therefore it requires certain quality standards to be safe to consumed and does not harm the consumers. Several of those standards including meat freshness and meat purity. Recently it has been found some cases of pork adulteration in beef which consequently could harm the consumers. In order to examine the purity of beef, it required test method based on odor characteristics by using electronic nose.Adulterated beef samples were prepared with pork content within samples varied by 20%, 40%, 60%, and 80% of total sample mass where the sample mass is 20 grams. The 10 days data collecting consists of sensing and flushing cycles for 180 seconds each cycles, with 6 times process repeating over 1 day. Data processing was carried out in several stages which including signal preprocessing based on baseline manipulation, feature extraction by calculating the area of the response signal curve by using trapezoidal rule of integral approximation, and multivariate analysis using PCA.Cumulative percentage of variance of two principal components of beef and pork classification test yields at 99.9% of total variance, and classification test between pure beef and adulterated beef resulting in 99.6% of total variance. Therefore, it can be concluded that electronic nose can classify between pure beef and adulterated beef
Sistem Deteksi Bentuk Kecacatan Benda Padat Menggunakan Teknik Variasi Sudut Ultrasonik
Get PDFMaking solid material frequent problems of internal defect. This research intends to make a system to detect the form of defect in solid materials using ultrasonic waves. Components that was used in the system is a generator function, an op-amp, ultrasonic sensor, oscilloscope and cylindrical solid material The method that used is reflected method of ultrasonic. Ultrasonic waves emitted from the transmitter to a solid material and the receiver will read a results of the reflection that occurs due to differences in medium objects. Oscilloscope will read of ultrasonic. Recitation will be done to determine the form of any cylindrical solid object.The trial system by a unit transmitter emits ultrasonic waves on the side solid material. A solid body rotated every multiple 20˚ of 0-180˚ to get an angle variations. The result obtained that waves as 40 khz can detect the form of solid material defect. The form of defect in a solid material has different wave pattern. Constant wave patterns with small amplitudo is a cylindrical material without defect, constant wave patterns with more much amplitudo is cylindrical material with cylindrical defect also and wave patterns whose amplitudo is different in any variation angle is cylindrical solid with cubicaly defect
Klasifikasi Bibit Sapi Peranakan Ongole Menggunakan Metode Pengolahan Citra
Get PDFOngole Crossbreed cattle is the largest cattle in Indonesia. Indonesian consume it’s beef in a large amount. Classification effects beef’s quantity and quality. However, the classification process is measuring manually one by one all this time. Moreover the current standard is too high and inappropriate due to the real exist conditions. Seeing the importance of classification, it is necessary to make a system that is able to classify Ongole Crossbreed cattle stocker.This system will measure quantitative requirement parameters from the image. This system will classify using image processing. Implementation of the system is using Matlab software. This system will classify into four classes, namely class I, class II, class III, and external class III. According to the results, it is obtained that the system is able to measure the body lenght, the chest circumference, and the height with accuracy rates are 90,77%, 93,30% and 93,13%. This system is able to classify the class of Ongole Crossbreed cattle stocker with accuracy rate is 86,67
Purwarupa Pengendalian Jarak Jauh Pada Mobile Robot Berbasis Web Melalui Jaringan Wireless TCP/IP
Get PDFIt has been successfully developed a prototype mobile robot, controlled remotely, based on web via wireless TCP/IP network. This prototype mobile robot adopts tank's movement, equipped with a surveillance camera to acquire real time data on surrounding environment, a webcam is used by user. Since it is controlled remotely from a web based application on host computer via wireless TCP/IP network, it could do some telemetry in such environment, which harmful for human. It uses a wireless device for birectional communication, to transmit and receive data. While on debugging, wireless communication are took place directly without any obstacle (line of sight), between host computer and prototype mobile robot
Sistem Pengendali Pengambilan Gambar Pada Kamera DSLR Melalui Protokol PTP
Get PDFDSLR is a professional camera that uses a high-quality digital sensor with high image sharpness. This camera can use various lenses based on user needs. Taking pictures using a digital SLR camera is not an easy matter, the position of object, location, and intensity of light affect the resulting image. In this research, designed and built a system that can control the DSLR cameras via PTP protocol. Image capture is implemented using the USB Host Shield, which is a tool that is used as a connector between a DSLR camera with an Arduino as a controller. Results of this research is a tool that is capable of taking pictures on the object by sending instructions via existing command on the Arduino serial monitor. The system test is done by testing image capturing through the PTP protocol, the change of the camera position, the influence of the camera's sensitivity to light, as well as the influence of light intensity. The result is DSLR cameras via PTP protocol can take a picture, adjust the position, adjust the ISO in accordance with the needs of the object, and set the white balance according to the location where the image capturing done
Rancang Bangun Electronic Nose untuk Mendeteksi Tingkat Kebusukan Ikan Air Tawar
Get PDFWhen fish die, fish freshness start to reduce gradually until cannot be eaten anymore. Properness of fish meat can be identified by odor that come out from fish itself. An instrument called electronic nose that can detect pattern of fish odor has been designed and implemented in this research.To be able to detect scent of freshwater fish, electronic nose will drain the air from sample chamber to sensor chamber using fan. When taking sample aroma, fan will drain air that contain sample scent from sample chamber to sensor chamber, and air from the outside flowed into sensor chamber when odor off. Scent stimulus captured by sensor array in form of signal response will be extracted with integral method so that the digital fingerprint from samples can be obtained. This pattern then analyzed by PCA (Principal Component Analysis) to determine patterns of freshwater fish odor.Result from this study indicated that electronic nose system can detect scent of freshwater fish with percentage variance of two major components are 98.7% (pomfret), 98.8% (catfish), and 99.5% (tilapia). Sensors that give high response in each samples is TGS 2620, and TGS 2600. TGS 822 give high response when fish is rotting
Segmentasi Tulang Kortikal pada Citra Dental Panoramic Radiograph
Get PDFImage processing in the medical world has been developed. One important stage in the processing of this image is segmentation. The accuracy in determining the diagnosis of a disease is determined by the accuracy of the segmentation stage.This study used a dental panoramic radiograph image with the size of 2000x1000 pixels. The area of cortical bone samples taken from the cortical bone of the lower jaw right and left about the mental foramen with 128x128 pixels. To simplify the process of segmentation is carried out preprocessing on the image that is by contrast stretching and grayscale. Furthermore, image segmentation results of preprocessing conducted using active contour method. This method begins with the formation of the formation of the mask as the initial curve, from the initial curve is then the curve will move in or out according to the shape of the edge of the cortical bone.Tests performed using the ROC (Receiver Operating Characteristic). Segmentation of 21 dental panoramic radiograph image data using Active Contour method can perform with the right cortical bone segmentation accuracy percentage of 90.67%, 90.14% sensitivity and 91.55% specificity. Cortical bone is left with an accuracy percentage of 89.37%, 86.59% sensitivity and 91.23% specificity
Uji GPS Tracking Dalam Skala Transportasi Antar Kota
Get PDFThe accuracy level of a system in order to obtain an accurate data. Each tool has a different level of accuracy as well as to the accuracy of tracking system. This tracking system is used to locate a vehicle. It is usually using GPS tool to obtain position data in coordinate point.A GPS tracking testing system is constructed in this research to see positional data obtained from the GPS. Two GPS were used, a cn06 GPS as test GPS and GPSmap 76CSx as secondary data. Obtained data will be selected in coordinates, time, and speed. Selection of data is using regular expression in PHP. These data will later be displayed in the form of maker and web using Google Maps. The analysis will be done by comparing two markers that have adjacent time of retrieval.The result of this research shows that the factor that affect the difference in the accuracy of GPS is the speed of the vehicle. Other obstructing factors such as multi-storey building and large trees will have no effect if the speed is keep at constant pace. In this intercity testing, the result is similiar to previous study, that the important factor is the speed.Akurasi dari suatu sistem penting dilakukan agar data yang didapatkan sesuai. Tiap-tiap alat memiliki tingkat akurasi yang berbeda, begitu pula untuk tingkat akurasi dari sistem pelacakan. Sistem pelacakan digunakan untuk melihat posisi suatu kendaraan. Sistem pelackaan biasanya menggunakan alat GPS untuk mendapatkan data posisi berupa titik koordinat.Di dalam penelitian ini dibangun sebuah sistem uji GPS Tracking untuk melihat data posisi kendaraan. Digunakan dua GPS, yaitu GPS tipe cn06 sebagai GPS yang akan dilihat keakurasian datanya dan GPSmap 76CSx sebagai data sekunder yang digunakan sebagai acuan. Data-data yang diperoleh akan diseleksi dan dianalisis untuk melihat faktor apa saja yang mempengaruhi keakurasiannya.. Data yang diseleksi berupa titik koordinat (latitude dan longitude), waktu, dan kecepatan. Seleksi data menggunakan regular expression didalam bahasa pemrograman PHP. Data-data kemudian akan ditampilkan dalam bentuk marker pada web menggunakan Google Maps API. Analisis data posisi dilakukan dengan membandingkan dua marker yang memiliki waktu pengambilan data yang berdekatan. Hasil pengujian menunjukan faktor yang menyebabkan keakurasian data posisi GPS adalah konstan tidaknya kecepatan kendaraan. Faktor lain yang menghambat seperti gedung bertingkat, pohon besar tidak akan berpengaruh apabila kecepatan motor dijaga tetap konstan. Pada pengujian antarkota juga didapatkan hasil yang sama, yaitu faktor penting dalam keakurasian posisi adalah kecepatan