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Indonesian Journal of Electronics and Instrumentation Systems

ijeis
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Published by Universitas Gadjah Mada

ISSN : 20883714 EISSN : 24607681 DOI : -

Core Subject : Engineering,

Electrical & Electronics Engineering

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.

Arjuna Subject : -

Articles 300 Documents

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Sistem Pengendali Pengambilan Gambar Pada Kamera DSLR Melalui Protokol PTP Muhammad Iqbal; Triyogatama Wahyu Widodo; Bakhtiar Aldino Ardi Sumbodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

DSLR 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 Chrisal Aji Lintang; Triyogatama Wahyu Widodo; Danang Lelono
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

When 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.

Klasifikasi Sel Darah Putih Berdasarkan Ciri Warna dan Bentuk dengan Metode K-Nearest Neighbor (K-NN) Mizan Nur Khasanah; Agus Harjoko; Ika Candradewi
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

The traditional procedure of classification of blood cells using a microscope in the laboratory of hematology to obtain information types of blood cells. It has become a cornerstone in the laboratory of hematology to diagnose and monitor hematologic disorders. However, the manual procedure through a series of labory test can take a while. Thresfore, this research can be helpful in the early stages of the classification of white blood cells automatically in the medical field.Efforts to overcome the length of time and for the purposes of early diagnose can use the image processing technique based on morphology of blood cells. This research aims to classify the white blood cells based on cell morphology with the k-nearest neighbor (knn). Image processing algorithms used hough circle, thresholding, feature extraction, then to the process of classification was used the method of k-nearest neighbor (knn).In the process of testing used 100 images to be aware of its kind. The test results showed segmentation accuracy of 78% and testing the classification of 64%.

Purwarupa Sistem Integrasi Metadata Foto Udara Dengan Data Sistem ADAHRS Raden Sumiharto; Intan Nur Fadliilah
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

This research was done by implementing aerial photographs metadata integrated system with ADAHRS data system. Photos and ADAHRS data were taken along using the camera and ADAHRS devices were installed on UAV. Data were taken from ADAHRS consisted of date, time, air speed, GPS latitude-longitude, altitude, temperature, air pressure, roll, pitch, and yaw.The method in the system included custom tag configuration, extracted metadata, the synchronisation and integrated data between ADAHRS and photo metadata. Configuration, extraction and integration process were done using ExifTool. Datestamp and timestamp in photo metadata and ADAHRS data were used as a parameter of integrating data on synchronisation.The systematical experiment was done by test on the effect of image resolution and number of photos to the duration of the whole process. This system was able to integrate ADAHRS data from image resolution, were 230 pixels x 1536 pixels, 1920 pixels x 1080 pixels, 1280 pixels x 720 pixels, and 848 pixels and 480 pixels. Amount of time average of process were 3,936 seconds/100 photos, 7,454 seconds/200 photos, 11,156 second/300 photos, 14,740 seconds/400 photos, and 18,460 seconds/500 photos. This system can be able to make a backup from extended version and retain the originality of photo metadata.

Uji GPS Tracking Dalam Skala Transportasi Antar Kota Iftitahatul Hanifah; Bambang Nurcahyo Prastowo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

The 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.

Purwarupa Sistem Prediksi Luas dan Hasil Panen Padi suatu Wilayah menggunakan Pengolahan Citra Digital dengan Metode Sobel dan Otsu Ardya Yunita Putri; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Area and paddy crop yield prediction system of an area using image processing by Sobel Otsu’s method is one of system that utilize aerial photo data for measuring area and prediction of its crop yield. Otsu’s method is used to thresholding process and Sobel’s method is used to detect paddy field’s edges that will calculate its area. Then filtering process so that the scanning process white pixels are counted only exist in the desired region. After the amount of white pixel(s) is obtained, their amount is multiplied with the scale that obtained from calibration process and crop yield prediction (kg/m2). Detection of yellow paddy color that ready-to-harvest is successfully performed by processing the HSV color, which is then detected by thresholding HSV. At the time of testing with variety of paddy color, the detected paddy color is the paddy color ready-to-harvest, which is brownish yellow that represented by white pixels, and will be used then to predict its area and crop yield. Thereafter, accuracy calculation test resulting in different error levels in different paddy fields. Error in testing of this system are 3,1 %, 8,7%, 4,9% dan 248%. The highest error value is caused by excessive exposure of light, with the result that the green color on paddy is detected by the system as yellow and some areas are covered by trees that, thereby reducing paddy fields area calculation.

Purwarupa Sistem Kendali Kestabilan Pesawat Tanpa Awak Sayap Tetap Menggunakan Robust PID Dwitiya Bagus Widyantara; Raden Sumiharto; Setyawan Bekti Wibowo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

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%.

Klasifikasi Bibit Sapi Peranakan Ongole Menggunakan Metode Pengolahan Citra Leylin Fatqiyah; Agus Harjoko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Ongole 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%

Sistem Kendali Penerbangan Quadrotor pada Keadaan Melayang dengan Metode LQR dan Kalman Filter Andi Dharmawan; Ivan Fajar Arismawan
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 1 (2017): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Quadrotor is a type of UAV (Unmanned Aerial Vehicle) with four propellers and four rotor. Quadrotor as flying robots has the advantage to take off and land vertically. In addition quadrotor also has the ability to fly hovered near a stationary state. However quadrotor had some difficulties to operate. One of these difficulties is to make quadrotor be able to fly and maintain the stationary state of the Euler angles (roll, pitch, and yaw). Linear Quadratic Regulator (LQR) as one of the modern control method which has the advantage of maintaining the conditions on the ground. This method can be combined with Kalman filter algorithm. It aims to reduce measurement error from the process sensor fusion and maintain Euler angles (roll, pitch and yaw).Kalman filter aims to reduce the measurement error of the sensor fusion. Then the output of Kalman filter algorithm becomes the input state for control LQR the roll angle and pitch angle. Input state is multiplied with the negative feedback as process systems. The results are converted into pulses to rotate the brushless motor so quadrotor can fly stably.The test results showed quadrotor while maintaining stability against roll angle has overshoot of 0.35 ° and the pitch angle has overshoot of 2 °.

Identifikasi Tahu Berformalin dengan Electronic Nose Menggunakan Jaringan Syaraf Tiruan Backpropagation Wida Astuti; Danang Lenono; Faizah Faizah
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

During this time to identify pure and formalin tofu based on color and aroma involving human taster. But this tofu tester still has weaknesses such as subjective. Besides that, the standard chemical analytical methods requires a high cost and need expertise to analyzing it. Basically aroma of tofu is determined by volatile compounds such as heksanal, ethanol, and 1-hexanol, while aroma of formalin tofu is determined by volatile compounds such as OH, CO, and hydrocarbon. Electronic nose based on unselected gas sensor array has the ability to analyze samples with complex compositions that can be known characteristics and qualitative analysis of the samples. Stimulus aroma is transformed by electronic nose into fingerprint data then it is used by feature extraction process using the differential method. The results of feature extraction is used to process the back propagation neural network training to obtain optimal parameters. The parameters have been optimized is then tested on a random tofus. Based on test results, ANN-BP can identify samples with 100% accuracy rate so that the identification of a pure tofu and tofu formalin with electronic nose using back propagation neural network analysis has been successfully carried out.

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