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Automatic Cardiac Segmentation Using Triangle and Optical Flow Riyanto Sigit; Ali Ridho Barakbah; Indra Adji Sulistijono; Adam Shidqul Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp315-326

Cardiac function assessment plays an important role in daily cardiology and ultrasound. Full automatic cardiac segmentation is a challenging study because cardiac ultrasound imaging has low contrast and irregular moves. In this research, full automatic cardiac segmentation for cardiac diseases is presented. The technique used Initial Center Boundary, Pre-processing, Triangle Segmentation and Optical Flow. The first step is determining the initial center boundary. The second step is using Pre-processing to eliminate noise. The third step is Triangle Segmentation to detect cardiac boundary and reconstruct the accurate border. The last step is applying Optical Flow method to detect and track the border for every frame in a cardiac video. The performance segmentation for assessment errors cardiac cavity obtained an average triangle 8.18%, snake 19.94% and watershed 15.97%. The experiments showed that triangle method is able to find and improve the segmentation of cardiac cavity images with accurate. The result can be seen that error between system and average of users is only less than 5.6%. This indicates that this method is effective to segment and tracking cardiac cavity in a cardiac video.

Pengukuran Nilai Densitas pada Minyak Pelumas Sepeda Motor dengan Gelombang Ultrasonik Ahmad Fauzi Firmansyah; Agus Indra Gunawan; Indra Adji Sulistijono; Denny Hanurawan
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Density is a measure of the mass of each unit volume of an object, the higher the density of an object, the greater the mass of each volume. The density value can be used to distinguish the characteristics of lubricating oils that are prone to contamination with solid or liquid particles. The density value is also affected by changes in temperature, the higher the temperature of the lubricating oil, the smaller the density value. The regulations in force in Indonesia with the ASTM D1298-12b standard density test method state that the measurement uses a temperature of 15℃. In this study, the density measurement value was obtained at a temperature of 28℃ so it required a value conversion using the ASTM 53B table about the density correction factor. The technique of testing the material without damaging the test object using an ultrasonic sensor is used to measure the density value of motorcycle lubricating oil. Measurements are made by transmitting a 3 MHz ultrasonic trigger signal that can penetrate each medium with different characteristics. The received echo signal produces information about the distance between the medium, the speed of sound, and the acoustic impedance. The results of the measurement of 11 samples of motorcycle lubricating oil both in new and used conditions using the acoustic impedance method resulted in an accuracy of 93,6% or 0,058 kg/dm3 when compared to the value measured using a pycnometer. The MPX-2-C sample measurement showed the lowest error of 0,41% or 0,004 kg/dm3.

Pengukuran Nilai Densitas pada Minyak Pelumas Sepeda Motor dengan Gelombang Ultrasonik Ahmad Fauzi Firmansyah; Agus Indra Gunawan; Indra Adji Sulistijono; Denny Hanurawan
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.24919

Density is a measure of the mass of each unit volume of an object, the higher the density of an object, the greater the mass of each volume. The density value can be used to distinguish the characteristics of lubricating oils that are prone to contamination with solid or liquid particles. The density value is also affected by changes in temperature, the higher the temperature of the lubricating oil, the smaller the density value. The regulations in force in Indonesia with the ASTM D1298-12b standard density test method state that the measurement uses a temperature of 15℃. In this study, the density measurement value was obtained at a temperature of 28℃ so it required a value conversion using the ASTM 53B table about the density correction factor. The technique of testing the material without damaging the test object using an ultrasonic sensor is used to measure the density value of motorcycle lubricating oil. Measurements are made by transmitting a 3 MHz ultrasonic trigger signal that can penetrate each medium with different characteristics. The received echo signal produces information about the distance between the medium, the speed of sound, and the acoustic impedance. The results of the measurement of 11 samples of motorcycle lubricating oil both in new and used conditions using the acoustic impedance method resulted in an accuracy of 93,6% or 0,058 kg/dm3 when compared to the value measured using a pycnometer. The MPX-2-C sample measurement showed the lowest error of 0,41% or 0,004 kg/dm3.

Parameter Adjustment of EROS Humanoid Robot Soccer using a Motion Visualization Risnumawan, Anhar; Febrianto, Rokhmat; Sulistijono, Indra Adji; Kusumawati, Eny
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 3 No. 1 (2022): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v2i1.203

Humanoid robot is a robot whose overall appearance is formed based on the human body and can interact with equipment and the environment created by humans. The robot's balance becomes fundamental in carrying out various tasks in designing humanoid robots. To deal with this, the adjustment of the humanoid robot movement is crucial in this work, research related to the virtual visualization of robots. Virtual robot visualization can be done by creating a simulator that contains dynamic parameters, including the physics of the robot. With the simulation containing dynamic parameters, the humanoid robot movement can be tried many times until the robot movement is robust. Applying the URDF (Unified Robot Description Format) model to the Gazebo simulator, which is supported by the ROS (Robot Operating System) framework, can make a simulator with dynamic parameters mimicking a real environment. In order to make a robust robot motion, feedback is needed in position and torque to find out the difference between simulation and reality. On the other hand, simulations can be done without cost or risk and, most importantly, mimic the actual robot soccer environment.

Sistem Lokalisasi Mobile-Robot Pertanian Otonom Berbasis Ultra-Wideband (UWB) dan Sensor Inersia Bagus Muliawan, Nobby; Sulistijono, Indra Adji
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3135

Sitem kendali pergerakan kendaraan pertanian otonom membutuhkan sistem lokalisasi yang akurat. Pada penelitian ini, penentuan posisi robot otonom berbasis DWM1000 dan sensor inersia diusulkan. Algoritma Trilaterasi digunakan untuk mendapatkan posisi berdasarkan 3 titik anchor terhadap robot. Sistem UWB (Ultra-Wideband) menghitung jarak dengan menggunakan TDOA (Time Difference of Arrival) dengan perhitungan SDS-TWR (Symetrical Double Sided-Two Way Ranging) untuk menentukan jarak. Data posisi yang didapatkan kemudian disaring dengan Kalman-filter pada aksis X dan Y. Berdasarkan pengujian experimen sensor UWB pada mobile robot pertanian otonom, didapatkan hasil akurasi yang cukup baik dengan nilai eror simpangan rata-rata sebesar 0,33m

Optimasi Sistem Navigasi Robot Bencana dengan Algoritma Bug dan Jaringan Syaraf Tiruan Kuswadi, Son; Natasya GO, Ardelia; Tamara, Muhamad Nasyir; Sulistijono, Indra Adji
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Agar robot bencana bisa melaksanakan tugas tertentu pada medan yang tak beraturan dan tidak diketahui keadaannya secara dinamis, harus memiliki kemampuan pemetaan. Berdasarkan peta yang telah dibuat, maka robot bisa bergerak sesuai dengan peta tersebut. Makalah ini membahas implementasi pemetaan dan navigasi robot, dengan menggunakan algoritma buguntuk membuat lintasan yang dapat menghindari halangan. Lintasan tersebut kemudian dioptimalkan dengan menggunakan jaringan syaraf tiruan untuk memilih lintasan terpendek. Metode yang diusulkan ini kemudian diuji baik menggunakan perangkat lunak dan eksperimen di medan laboratorium. Abstract In order to perform certain task in a cluttered and unknown dynamic field, a disaster robot should have mapping capability. Based on the map, then robot will move accordingly. This paper describes the implementation of mapping and navigation of the robot by using bug algorithm to avoid the obstacle. The paths optimized by using artificial neural networks to select the shortest one. The proposed method then implemented both by simulation and experimental in lab scale field.

ANALISIS KINERJA SAYAP ORNITHOPTER SEPERTI-BURUNG SEDERHANA Aris Sandi; Indra Adji Sulistijono; Endah Suryawati Ningrum
Scientific Journal of Mechanical Engineering Kinematika Vol 8 No 2 (2023): SJME Kinematika Desember 2023
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar

An ornithopter or flapping-wing is a robot that resembles the wingsâ€™ mechanics of birds, insects or bats. The application of this type of UAV ranges from photography to the military. This study's main discussion is designing and constructing the ornithopter wing mechanical system with a double-joint wing flapping system. The novelty submitted in this study was the material used to construct the ornithopter wing, namely rod carbon for the skeleton and plastic for the wing. The aim was to discover the aerodynamic performance of the wing and the whole ornithopter. The study results showed that for single wing, the value of CL/CD was high. However, the ornithopter design should be improved to get the thrust force higher than drag force. In addition, the velocity starts to increase stably at throttle 33.3%. Furthermore, for the ornithopter, it was found that the lift force was greater than the down force, so that, theoretically, the robot could fly. The largest lift occurred when the frequency values were 0.88 and 0.97

Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping Fauzi, Rizana; Happyanto, Dedid Cahya; Sulistijono, Indra Adji
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if itâ€™s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction motor

Application of Artificial Neural Networks in Modeling Direction Wheelchairs Using Neurosky Mindset Mobile (EEG) Device Siswoyo, Agus; Arief, Zainal; Sulistijono, Indra Adji
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

The implementation of Artificial Neural Network in prediction the direction of electric wheelchair from brain signal input for physical mobility impairment.. The control of the wheelchair as an effort in improving disabled person life quality. The interaction from disabled person is helping in relation to social life with others. Because of the mobility impairment, the wheelchair with brain signal input is made. This wheel chair is purposed to help the disabled person and elderly for their daily activity. ANN helps to develop the mapping from input to target. ANN is developed in 3 level: input level, one hidden level, and output level (6-2-1). There are 6 signal from Neurosky Mindset sensor output, Alpha1, Alpha2, Raw signal, Total time signal, Attention Signal, and Meditation signal. The purpose of this research is to find out the output value from ANN: value in turning right, turning left, and forward. From those outputs, we can prove the relevance to the target. One of the main problem that interfering with success is the problem of proper neural network training. Arduino uno is chosen to implement the learning program algorithm because it is a popular microcontroller that is economic and efficient. The training of artificial neural network in this research uses 21 data package from raw data, Alpha1, Aplha2, Meditation data, Attention data, total time data. At the time of the test there is a value of Mean square Error(MSE) at the end of training amounted to 0.92495 at epoch 9958, value a correlation coefficient of 0.92804 shows that accuracy the results of the training process good.Â Â Keywords: Navigation, Neural network, Real-time training, ArduinoÂ

Automatic Samples Selection Using Histogram of Oriented Gradients (HOG) Feature Distance Salfikar, Inzar; Sulistijono, Indra Adji; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 5 No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v5i2.182

Finding victims at a disaster site is the primary goal of Search-and-Rescue (SAR) operations. Many technologies created from research for searching disaster victims through aerial imaging. but, most of them are difficult to detect victims at tsunami disaster sites with victims and backgrounds which are look similar. This research collects post-tsunami aerial imaging data from the internet to builds dataset and model for detecting tsunami disaster victims. Datasets are built based on distance differences from features every sample using Histogram-of-Oriented-Gradient (HOG) method. We use the longest distance to collect samples from photo to generate victim and non-victim samples. We claim steps to collect samples by measuring HOG feature distance from all samples. the longest distance between samples will take as a candidate to build the dataset, then classify victim (positives) and non-victim (negatives) samples manually. The dataset of tsunami disaster victims was re-analyzed using cross-validation Leave-One-Out (LOO) with Support-Vector-Machine (SVM) method. The experimental results show the performance of two test photos with 61.70% precision, 77.60% accuracy, 74.36% recall and f-measure 67.44% to distinguish victim (positives) and non-victim (negatives).

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