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Risanuri Hidayat
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Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
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Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 14 Documents
 1   2 
Search results for , issue "Vol 8 No 2: Mei 2019" : 14 Documents clear
Perancangan Sistem Gerak Kamera Laba-laba dengan Metode Kinematika Balik Muhammad Aziz Muslim; Frido Wahyu Alifantio
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.268 KB)

Abstract

Spider camera (spidercam) is a camera equipped with a movement system that resembles the movement of a spider. The camera can move in a three-dimensional field by pulling and stretching the rope or cables arranged in a certain configuration. This study proposed the use of an inverse kinematic to control the movement of the camera. This method is seeking the relationship between the desired coordinates with the angle that must be moved from each motor that composes it. To move the motor, an analytically tuned PID controller is employed. Experimental results show that using the proposed system, the camera is successfully placed in accordance with the desired position with 100% accuracy. From motor response side, however, the system's performance still needs to be improved so that a smoother movement can be obtained.
Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control Muhammad Faris; Ircham Ircham
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1087.453 KB)

Abstract

This work addresses the development of Distributed Model Predictive Control (DMPC) approaches for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed optimization problem is solved using two different decomposition schemes: Alternating Direction Method of Multipliers (ADMM) and Distributed Robust Safe But Knowledgeable (DRSBK). The original distributed algorithms are modified to handle the non-convex nature of the optimization problem, hence improving the solution quality. The results of large-scale test instances show that DRSBK can outperform the conventional centralized approach and ADMM, by providing the closest-to-optimum solution while requiring the least computation time.
Peningkatan Akurasi Segmentasi Tulang Femur dan Tibia pada Citra Radiograf Menggunakan AASM Rima Tri Wahyuningrum; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1230.059 KB)

Abstract

Osteoarthritis (OA) is a joint disease that affects a large part of the elderly population. One of the OA that is often experienced by patients is knee OA. To determine the development and classification of this disease, a process of segmenting the femur and tibia is needed quickly and accurately. Meanwhile, manual segmentation has several disadvantages including the longer time needed and the difference in the results of reading x-ray images between medical personnel with each other. Therefore, in this paper, an Adaptive Active Shape Model (AASM) is presented for femur and tibia segmentation on knee x-ray images. The purpose of this segmentation is to support the discovery and characterization of imaging biomarkers for the incidence, clinical evaluation, classification, and progression of knee osteoarthritis (OA). This new algorithm is adaptively capable of better segmenting the femur and tibia than the original ASM. In this experiment, 10 images were used as training data to get the mean shape model and 50 images were tested to find out performance of the method implemented. All images are taken randomly from Osteoarthritis Initiative (OAI) dataset. To determinate the accuracy of this segmentation method, calculations have been performed using Hausdorff Distance(HD) and Dice Similarity Coefficient(DSC). In addition, this study have also been compared with previous research (original ASM) and the same data is used. The best average result of the segmentation validation method from 50 test images in the AASM method using HD is 0.2016 for the right tibia femur bone using 43 landmarks and 0.9497 for the DSC. Based on these results, the average increase in accuracy of segmentation validation was 0.29 for HD and 0.33 for DSC. Thus, this method is quite reliable and clinically valuable for monitoring the progression of knee osteoarthritis.
Pengoperasian Penyimpan Energi Udara Tekan Skala Kecil Mode Discharged pada Efisiensi Maksimum Andi Setiawan; Ardyono Priyadi; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.972 KB)

Abstract

This paper presents the results of research on the development of small-scale compressed air storage operating at its maximum efficiency. In contrast to what was done in previous studies using a buck converter on the output side of the generator, here a boost converter is used. The use of a boost converter allows the turbines to operate at a reasonably low speed and can still produce the desired voltage for the load, which is 12 volts. This strategy is chosen based on the characteristics of the turbine which indicates that the turbine will operate with better efficiency if operated at lower speeds. In this study, the search for maximum efficiency points is done by perturb and observe (P&O) method. The simulation results show that this strategy is effective for obtaining operating points with maximum efficiency if the load power is small relative to the nominal power of the turbine-generator, which is below 50%.

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