Raden Sumiharto
Departemen Ilmu Komputer Dan Elektronika, FMIPA UGM, Yogyakarta

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Journal : Indonesian Journal of Electronics and Instrumentation Systems

Purwarupa Akuisisi Layar Sentuh Sebagai Sistem Kendali dan Pemantau Suhu Ruangan Menggunakan LCD Mini2440 Berbasis Sistem Operasi Waktu Nyata pada Mikroprosesor Samsung S3C2440 Khaula Nurul Hakim; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 3, No 2 (2013): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.436 KB) | DOI: 10.22146/ijeis.3891

Abstract

AbstrakSalah satu inovasi terhadap teknologi saat ini adalah dengan  mengaplikasikan teknologi layar sentuh. Semakin banyaknya peralatan yang serba digital tersebut, menjadi semakin mudah untuk digunakan oleh siapa saja (user friendly). Purwarupa akuisisi layar sentuh sebagai sistem kendali dan pemantau suhu ruangan menggunakan LCD layar sentuh mini2440 digunakan untuk mempermudah pengguna.Sistem ini menggunakan sensor DS1621 dalam memperoleh data suhu ruangan. Data keluaran dari sensor akan diolah oleh mikroprosesor Samsung S3C2440 yang terdapat pada development board Mini2440. Data keluaran sensor DS1621 akan ditampilkan pada LCD mini2440 untuk dipantau. Digunakan metode interrupt oleh mikroprosesor S3C2440 untuk pengaktifan antarmuka layar sentuh. Sistem dibuat menggunakan sistem operasi waktu nyata uC/OS-II. Sebagai antarmuka pengguna digunakan LCD layar sentuh yang terdapat pada LCD mini2440 berupa gambar uC-GUI. Gambar uC-GUI berupa simbol on-off yang digunakan sebagai kendali kipas motor DC. Penentuan koordinat gambar sebagai kendali dan pemantau suhu dengan menggunakan metode sampling atau proses pengambilan nilai diskrit koordinat ruang (x,y) dengan melewatkan citra melalui grid (celah).Berdasarkan hasil penelitian menunjukkan bahwa purwarupa akuisisi layar sentuh sebagai sistem kendali dan pemantau suhu ruangan menggunakan LCD layar sentuh mini2440 berbasis sistem operasi waktu nyata pada mikroprosesor Samsung S3C2440 dapat menampilkan data suhu sensor pada LCD dan mampu mengendalikan on-off kipas motor DC dalam mempengaruhi suhu ruangan yang diukur.     Kata kunci : Suhu, DS1621, Layar Sentuh, Mikroprosesor S3C2440, LCD Mini2440. AbstractThe combination of cutting edge technology with a means of communication has led to the attraction for its users .. One innovation of the technology is to apply the touch-screen technology. Increasing number of all-digital equipment, it becomes increasingly easy to use by anyone (user friendly). The prototype control system and monitors the room temperature using a touch-screen LCD mini2440 used to facilitate the user.The system uses sensors in the DS1621 data obtained at room temperature. Output from the sensor data to be manipulated by the Samsung S3C2440 microprocessor development board available on Mini2440. DS1621 sensor output data will be displayed on the LCD mini2440 to be monitored. Method used to interrupt the microprocessor S3C2440 touchscreen interface activation. The system is made using real-time operating system UC / OS-II. As the user interface used LCD touch screen that there is an image on the LCD mini2440 UC-GUI. UC-GUI image on-off form of symbols that are used as control DC fan motor. The determination of the coordinates of the picture as controls and monitors temperature by using the sampling method or process of taking discrete values of spatial coordinates (x, y) with delayed images through the grid.Based on the results showed that the system controls and monitors the room temperature using a touch-screen LCD mini2440 real time operating system based on Samsung S3C2440 microprocessor can work well for on-off controlling DC fan motors in influencing the temperature of the room. Keywords—Temperature, DS1621, Touch screen, Mikroprosesor S3C2440, LCD, Mini2440, uC/OS-II.
Purwarupa Kontrol Kestabilan Posisi dan Sikap pada Pesawat Tanpa Awak Menggunakan IMU dan Algoritma Fusion Sensor Kalman Filter Praja Sapta Ardiantara; Raden Sumiharto; Setyawan Bekti Wibowo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 4, No 1 (2014): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.371 KB) | DOI: 10.22146/ijeis.4219

Abstract

Flight Control System merupakan salah satu bagian yang penting dalam sebuah UAV yang dapat digunakan untuk menentukan posisi keadaan pesawat agar tetap stabil dan sesuai dengan misi terbang yang dilakukan. Untuk melakukan kontrol kestabilan dari UAV diperlukan salah satu sensor yaitu sensor IMU(Inertial Measurement Unit) dimana dalam pengembangannya terdapat beberapa algoritma yang digunakan dalam pengolahan data yang dikeluarkan dari sensor IMU tersebut. Salah satunya dalam penelitian ini adalah algoritma fusion sensor Kalman filter, yang digunakan untuk menggabungkan data keluaran dari sensor accelerometer dan gyroscope dalam IMU yang mempunyai noise agar didapatkan data keluaran yang rendah noise sehingga dapat digunakan secara maksimal dalam kontrol kestabilan UAV.Pada penelitian ini sensor yang digunakan adalah IMU GY86 yang mengirimkan data bacaan accelerometer, gyroscope dan magnetometer dengan komunikasi I2C. Digunakan Arduino Uno sebagai sistem operasi dengan beberapa task yaitu bacasensor, mengolah data keluaran sensor menggunakan algoritma fusion sensor Kalman Filter, kontrol_manual dan kontrol_stabilisasi. Sistem memiliki dua kontrol yaitu kontrol manual yang menggunakan input PWM(Pulse Width Modulation) dari RC Receiver untuk langsung diteruskan ke servo melalui pin dari Arduino. Kontrol kestabilan menggunakan hasil pembacaan sensor IMU yang kemudian dilakukan penggabungan data sensor dengan mengimplementasikan algoritma fusion sensor Kalman Filter untuk didapatkan nilai output sensor yang bersih dari noise dan memproses keluaran fusion sensor tersebut untuk mengontrol kestabilan posisi pesawat pada tiga sumbu poros terbang yaitu kondisi terbang dengan poros sumbu x, y, dan z.            Hasil dari penelitian ini berupa purwarupa sistem kontrol kestabilan UAV dengan kontrol manual dan kontrol kestabilan. Uji coba sistem dilakukan dengan percobaan statis dan dinamis dari setiap sudut yang dihasilkan sensor sebelum dan sesudah digunakan algoritma fusion sensor Kalman filter. Dari hasil pengujian didapatkan kesimpulan bahwa penggunaan algoritma fusion sensor Kalman filter dapat memberikan pengukuran sudut yang akurat dan dinamis dengan nilai error sebesar 0,5% untuk sudut terhadap sumbu X, dan 0,6% untuk sudut terhadap sumbu Y. Kata kunci—Stabilisasi, IMU, PWM ,  RC Receiver, Kalman Filter, Fusion Sensor. Flight Control System is one important part of a UAV that can be used to determine the position of state aircraft to remain stable and fit to fly missions conducted. To control the stability of the UAV required one of sensor that is the IMU(Inertial Measurement Unit) sensor, where in its development there are several algorithms used in processing the data output from the IMU sensor. One of them in this study is the sensor fusion algorithm Kalman filter, which is used to combine the data output from the accelerometer and gyroscope sensors in the IMU has a noise in order to obtain a low noise output data that can be used optimally in the stability control UAVs.In this study IMU GY86 sensor is used to transmit data reading from accelerometer, gyroscope and magnetometer with I2C comunications. Arduino Uno is used as the operating system with a task that is bacasensor, process the sensor output data using sensor fusion algorithm Kalman Filter, kontrol_manual and kontrol_stabilisasi. The system has two controls that use the manual control input PWM (Pulse Width Modulation) from RC Receiver for forwarded directly to the servo via pin of the Arduino. Stability control using IMU sensor readings are then performed with the sensor data fusion algorithm implements sensor fusion Kalman Filter to obtain the value of the net output of the sensor noise and process the sensor fusion output to control the stability of the aircraft's position in three-axis fly the shaft with shaft flying conditions axes x, y, and z.The results of this study is UAV stability control system prototype with manual control and stability control. System testing is done with static and dynamic experiments from every angle from the sensor before and after use Kalman filter sensor fusion algorithms. From the test results it was concluded that the use of the Kalman filter sensor fusion algorithm can provide accurate angular measurements and dynamic with an error value of 0.5% for an angle to the X axis, and 0.6% for an angle to the axis Y. Keywords—Stabilisasi, IMU, PWM ,  RC Receiver, Kalman Filter, Fusion Sensor.
Pengembangan Antarmuka Stasiun Pemantauan Pesawat Tanpa Awak Menggunakan Aplikasi Android Unggul Wahyu Tri Purnomo Putro; Tri Kuntoro Priyambodo; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 4, No 2 (2014): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (791.85 KB) | DOI: 10.22146/ijeis.7110

Abstract

AbstrakPesawat sayap tanpa awak mulai diminati oleh warga sipil untuk melakukan misi-misi pemantauan.Dalam misi tersebut muncul berbagai masalah seperti bagaimana melakukan pemantauan menggunakan pesawat tanpa awak dengan mudah, yang memiliki jarak tempuh yang cukup jauh.Berdasarkan permasalahan tersebut dibuatlah pengembangan stasiun pemantauan pesawat tanpa awak menggunakan aplikasi Android.Penelitian ini bertujuan untuk merancang dan membangun antarmuka stasiun pemantauan yang mendukung pengoperasian pesawat sayap tetap dalam melakukan misi pemantauan, yang memudahkan pengguna memantau kondisi pesawat dan apa yang sedang dipantau oleh pesawat ketika terbang. Stasiun pemantauan ini menggunakan jasa tethering dari tablet Android dan didukung oleh unit pengiriman yang terdiri dari modul ADAHRS, webcam, modul Raspberry Pi dan wireless USB dongle.Pengujian dilakukan dengan mencocokan hasil variasi orientasi sudut ADAHRS dengan panel antarmuka dan mencoba tampilan video streaming dari webcam.Penelitian ini menunjukan bahwa implementasi stasiun pemantauan pada aplikasi Android dengan respon pemrosesan paket data sistem berkisar antara 2,5 ms. Didapatkan jarak pemantauan terjauh yang mampu diterima yakni pada 130,6 m. Resolusi video streaming yang baik untuk melakukan pemantauan yakni pada resolusi 640 x 480 piksel atau 360 x 240 piksel. Kata kunci—UAV, Android, Raspberry Pi, Tethering, Video streaming, Wireless  AbstractUnmanned aerial vehicle began interested by civilian used to monitoring mission. On that mission appear a problem, like how to monitoring using unmanned aerial vehicle that have long mileage easily. Based on that problem, be made interface development of monitoring station of unmanned aerial vehicle using android application.This study aims to design and build a monitoring station interface that support  unmanned aerial vehicle monitoring mission, that made the user to know the aircraft condition and what being observed by the aircraft easily. This monitoring station used tethering service from Android tablet and supported by transmission unit that consist of ADAHRS module, webcam, Raspberry Pi module and wireless USB dongle.Test conducted by matching the result of orientation angle variations of ADAHRS with the interface panels and try to show the streaming video from webcam. This study shows the successful implementation of monitoring station on Android application with packet data process response of the interface about 2,5 ms. Obtained farthest monitoring distance on 130,6 m. The best video streaming resolution for monitoring is 640 x 480 pixel or 360 x 240 pixel. Keywords—UAV, Android, Raspberry Pi, Tethering, Streaming video , Wireless
Implementasi Pengolahan Citra Digital Sebagai Pengukur Nilai Resistor Pada Sistem Pemindai Resistor Berbasis Android Satrio Firmansyah; Danang Lelono; Rade Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 1 (2015): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.413 KB) | DOI: 10.22146/ijeis.7148

Abstract

One of the gadget that is often used is Android smart phones. Android is an OpenSource, it could help user and developer to operate and develop Android Application. There are several problems that need image as an input system, it is caused by the humas’s ability in doing some mathematic functions or supported algorythm. To make the selection color used HSV color space. By using HSV color space allows a system to determine the color value resistor, because the hue value of the component is a representation of the actual color value. This is supported by the saturation level that serves as a color saturation and value as a brightness of color.The results of this research is an implementation of digital image processing as a measure of the value of the resistor. The system is tested by the influence of light intensity and the distance between the camera and resistor. The best results were achieved with the conditions of the room in light intensity between 400 lux to 1200 lux the detection distance between the camera and resistor is 20 cm of maximum value.
Identifikasi Model dari Pesawat Udara Tanpa Awak Sayap Tetap Jenis Bixler Abdul Majid; Raden Sumiharto; Setyawan Bekti Wibisono
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 1 (2015): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.086 KB) | DOI: 10.22146/ijeis.7152

Abstract

Flight model is one of importing thing in fixed-wing unmanned aerial vehicle (UAV) control system development, mainly in the aircraft autopilot. Through this flight model, the aircraft motion can be represented and simulated.In this research, the flight model is obtained through system identification and system modelling of Bixler fixed-wing  unmanned aerial vehicle. System identification is based on experiment data and use state-space model structure. There are three stages in this research, aircraft motion system modelling, flight data collecting, and flight model identification. Through those three stages, Bixler fixed-wing unmanned aerial vehicle flight model is obtained as represented in two modes, longitudinal mode and lateral modeThe Bixler fixed-wing unmanned aerial vehicle longitudinal mode flight model is obtained using 13 parameters. The lateral mode is obtained using 11 parameters. All modes are in 4th order state space model structure.
Rancang Bangun Sistem Pencampur Bahan Minuman Bersoda Berdasarkan Kadar Keasaman Berbasis PLC OMRON CP1H-XA40DR-A Rindi Kusumawardani; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 1 (2015): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.908 KB) | DOI: 10.22146/ijeis.7153

Abstract

Have been made a prototype of soft drinks mixing ingredients system based on acidity controled by PLC OMRON CP1H-XA40DR-A. This system have been made based on the importance of pH levels on soft drinks. This mixing ingredients system has Human Machine Interface (HMI) for control and input on the system. High accuracy is needed in the process of mixing the ingredients of soft drinks to mantain the quality of the product. One of the factor that is considered to mantain it quality is to ensure pH levels of the mixing to standard production. The automation of soft drinks mixing ingredients systems is based on PLC by OMRON with serial number CP1H-XA40DR-A. This system equipped with eTape height sensor to detect height of the fluid, motor washer to pump the fluid, pH electrode PE-03 sensor to read the acidity.  The results of this study is a soft drinks mixing ingredients systems that automatically mixes the fluid according to the pH input by user. There are a range of acidity options available in this system, pH 4 to pH 6. The accuracy of the fluid mixing process is equal to 98,45%.
Implementasi Kontrol Model Prediksi Berbasis ANFIS Pada Mesin Penghasil Uap Air Rangga Kurniawan Ladioktaviagusdi; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 1 (2015): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.894 KB) | DOI: 10.22146/ijeis.7158

Abstract

Steam generator has problem such as dependent variable on the output parameters, therefore it is needed a way to get system behavior of steam generator which is represented by model of the plant. Implementation of the model predictive control in this research was represented by using simulation, so the object that was controlled was virtual steam generator. In this research was used MATLAB software as a virtual steam generator and also for computes ANFIS, whereas the LabVIEW software was used as a representation of control room.From the research, it was found the best parameters for each ANFIS that was used as a model unit in the model predictive control, that was by using historical data 4th as much as 800 datas, the percentage ratio of learning for training data and checking data on each ANFIS for each model structures sequentially by 90% and 10%, except the percentage ratio for ANFIS on water flow parameter sequentially by 80% and 20%. The results of validation RMSE (Root Mean Square Error) by testing for 100 datas, it was obtained values as follows: water flow=1.9941, water pressure=48.0236, air flow=604.0621, fuel gas pressure=0.7087, fuel gas temperature=18.6594, O2 content=0.9591, steam pressure=76.1557, steam quality=3.9734 and steam flow=264.9173.
Purwarupa Sistem Penggabungan Foto Udara Pada UAV Menggunakan Algoritma Surf (Speeded-Up Robust Features) Farida Dewanti; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 2 (2015): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1030.476 KB) | DOI: 10.22146/ijeis.7640

Abstract

Prototype of stitching aerial photograph  UAV using SURF algorithm is a system that is designed to stitch the image. The image is generated imagery UAV fixed-wings. The output of this system is a display image with a wider object.             This system is designed to be able to merge aerial images by using SURF algorithm, Flann, RANSAC, and warpPerspective. SURF algorithm is used as a keypoint detector from each of the input images. Flann method to perform keypoint matching is found. RANSAC homography matrix used for the search. WarpPerspective method used for merging the two inputs that have a match keypoint.             The test consists of several types of variations such as the intersection of the minimal variation, variation in scale and rotation variations. Variation that produces intersection minimum value of 15% and a minimum number of keypoint accords between the two images can be combined is 5. Variation of rotation to any angle difference between the two images can still be combined. Minimum scale variations which can be combined image is the image scale is reduced to 75% of the size of the original image, and the image scale is enlarged to 600% of its original size to a maximum variation of magnification scale.
Sistem Pengukur Kecepatan Kendaraan Berbasis Pengolahan Video Satrio Sani Sadewo; Raden Sumiharto; Ika Candradewi
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 2 (2015): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.293 KB) | DOI: 10.22146/ijeis.7641

Abstract

This system is implemented by digital image processing to detect the objects and measure the speed. This system using background subtraction method with Gaussian Mixture Model (GMM) algorithm. Background subtraction will separate background and detected objects. Coordinates of the objects midpoint used as the the object moving value in pixel. The actual distance also measured in meters where the distance is limited by region of interest (ROI). The ROI is 160 pixel. Having obtained the moving objects time from previous frame to current frame so the value of pixel/s can converted to km/h.System testing the measurement validation, calculate the speed after being validated, and the influence of light intensity. The speed validation process uses average speed of early three frames speed as the reference for the speed measurement in the next frame. The average speed accuracy of 3 frames early gives a percentage error about 1,92% - 15,75%. When validation is performed on the entire reading frame of video, it produces an error range 1,21% - 21,37%. The system works well in the morning, afternoon, and evening conditions with light intensity about 600-1900 lux. While at night with 0-5 lux light intensity range, the system can’t work properly.
Penerapan Sistem Kendali PID pada Antena Pendeteksi Koordinat Posisi UAV Mahendra Budi Nugraha; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 2 (2015): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.359 KB) | DOI: 10.22146/ijeis.7642

Abstract

 In this project has been implemented a PID control system on antenna tracker of unmanned aerial vehicle coordinates. PID control system on antena tracker to be used on horizontal and vertikal motion control. The setpoint of PID controller for horizontal motion is azimuth’s angle between antenna and UAV. The angle produced by azimuth’s method between two coordinates. The setpoint of PID controller for vertical motion is elevasi’s angle that produced by haversine-formula’s method and Sinus Trigonometry between distance two coordinates toward altitude of UAV. Tuning of PID controller was calculated by Ziegler-Nichols’s method with oscillation’s method and reasoning table of Ziegler-Nichols.The result from this project is implementation PID control system with Ziegler-Nichols’s method. There ara 3 variations in Ziegler-Nichols’s table, that are P, PI, and PID control system. The PD control system also implemented with integral’s control set on 0. The control system that has a good response is PD control system with Kp = 11,375 and Kd = 0,372531 on azimuth’s control whereas elevasi’s control with Kp = 3,41 and Kd = 0,111464. Response that produced by azimuth’s control is 0,32 second and elevasi’s control is 0,34 second.