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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 10 Documents
 1 
Search results for , issue "Vol 11 No 4: November 2022" : 10 Documents clear
Penerapan Floyd-Warshall untuk Pencarian Rute Terpendek pada Aplikasi Notifikasi Kecelakaan Lalu Lintas Haniah Mahmudah; M. Fajar Ibrahim; Okkie Puspitorini; Ari Wijayanti; Nur Adi Siswandari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.2201

Abstract

In the case of an accident, a prompt response is needed to prevent accidents or provide assistance to traffic accident victims. Several ways can be carried out to address this problem. One of them is by developing several smartphone applications for accident detection and accident notification that provide aid in traffic accidents. The existing application to assist the victims merely presents the shortest route from the respondent to the victim’s location without any features that help the respondent find a route to the nearest hospital and police station. Therefore, this study develops a smartphone application for accident alerts for victims’ relatives and respondents, which assists in locating the victim’s position and the closest hospitals and police stations. This accident notification app for smartphones utilizes open-source software and is very scalable. The outcome of this study is an Android application capable of sending accident notification broadcasts, allowing the victim’s relatives and respondents to get accident notifications and drive to the accident place using the route given by the application. In addition, the developed app also provides information about the location of the nearest hospital and police station, allowing respondents nearby the location to help the victim promptly. The results of testing the application using the black box method on the Android platform indicated that 100% of the features of this application were running well. The shortest route with the Floyd-Warshall algorithm was 4.199 km, with no route deviations from the distance testing scenario. The average speed of notification delivery response from victims to respondents was 27.86 ms.
Identifikasi Penggunaan Masker yang Tepat pada Wajah Berbasis Deteksi Mulut dan Hidung Denny Hardiyanto; Ihtiari Prastyaningrum; Umi Kholifah; Dyah Anggun Sartika
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.3077

Abstract

During the pandemic, the proper use of face masks is very critical to reduce and prevent the transmission of the COVID-19 between people. Unfortunately, many people are still careless about this proper use of masks like using masks to cover only their mouth or chin. There are also people who do not wear masks when traveling or interacting. Such conducts indicate the lack of concern for the mask use. This study aims to obtain an identification algorithm for using the face mask appropriately through digital photos/images. The basic algorithm used was the face, nose, and mouth detection algorithm developed by Viola and Jones. These algorithms were then combined so that they formed a strong algorithm for detecting the proper use of the face mask. The data tested were classified into five categories, namely images of proper use of masks, images of masks with visible noses, images of masks with visible mouths, images of faces with masks worn on the chin, and mixed images with various accessories. Results of the study employed sixty testing images with various variations of attributes, the result obtained an accuracy value of 90%, a sensitivity value of 100%, and a specificity value of 62.5%. The low specificity value was caused by many detection errors in the false positive (FP) attribute, meaning that the system can detect objects other than the mouth and nose. This research is expected to be developed and synergized with other applications so that it can raise public awareness about the proper use of masks.
Memvisualisasikan Twit Kesehatan Berdasarkan Wilayah dan Timestamp Bonpagna Kann; Sihem Amer-Yahia; Michael Ortega; Jean-Louis Pépin; Sébastien Bailly
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.3783

Abstract

Social media has become one of the major data sources for social studies through users’ expressions, such as significant moments in their daily life or their feelings and perceptions toward specific discussion topics. In health care, social media is thoroughly used to study people’s discourse on ailments and derive insights into the impact of ailments on patients’ quality of life. Recently, there has been an increasing interest in applying machine learning algorithms to enhance the prediction of ailments through users’ social media data. In this study, nearly 800 million posts were retrieved from Twitter through preprocessing and running the time-aware ailment topic aspect model (T-ATAM) to predict diseases, symptoms, and remedies for two chronic conditions, namely sleep apnea and chronic liver diseases. The study was conducted on English tweets emitted during 2018, most of which were from European countries and the United States. The data were processed using T-ATAM by regions, timestamps, and treatment, namely continuous positive airway pressure (CPAP), to see the differences in the distributions of top diseases along with the top symptoms and remedies in different regions; timestamps; as well as before, during, and after CPAP was introduced. Based on approximately 331,000 tweets related to liver diseases and 1 million tweets on sleep apnea, various visualizations of statistics are displayed, including world maps, word clouds, and histograms. Results of this study indicate that depression and drinking are the leading symptoms of liver diseases; meanwhile, lack of nighttime sleep and overworking are considered the main factors of sleep apnea.
Antena Mikrostrip dengan Dua Buah U-Slot untuk Aplikasi Wi-Fi dan 5G Dian Widi Astuti; Alya Patrakomala; Muslim Muslim; Said Attamimi; Dwi Astuti Cahyasiwi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4101

Abstract

The development of telecommunications on wireless networks is advancing very rapidly. This rapid development is caused by the need for rapid information accessible from anywhere. One of the devices on the wireless network telecommunications system is an antenna. Antennas that can work on multiple wireless network frequencies on telecommunications system devices are indispensable. Therefore, this study proposes the design of a microstrip antenna capable of simultaneously working on two wireless network frequencies, namely Wi-Fi and fifth-generation cellular telecommunications (5G). The microstrip antenna was designed using two slots, i.e., the disconnected rectangular ring and inverted U-shaped slots. The Wi-Fi and 5G frequencies working on this antenna were 2.45 GHz and 3.3 GHz. The resonant frequency on the antenna of this microstrip was affected by the slot length. The antenna was designed and fabricated using a Rogers 5880 substrate with a material’s relative permeability (er) of 2.2, a tangent loss (d) of 0.0009, and a thickness of 1.575 mm. Before being fabricated, the antenna design was simulated using the Ansys HFSS simulator, which is a simulator for designing components using electromagnetic waves including antennas. Compared to the simulation results, the results of reflection coefficient measurement in this antenna design showed excellent results for both frequencies. In the simulation results, the reflection coefficient provided a bandwidth of 123 MHz in the 2,412-2,535 MHz frequency range, while the measurement results provided a bandwidth value of 153 MHz in the 2,402-2,555 MHz frequency range for the Wi-Fi frequency application. At the 5G frequency, a measuring bandwidth of 87 MHz was obtained in the range of 3,260-3,347 MHz. The measurement results were commensurate with the simulation results, which obtained a bandwidth of 88 MHz in the range of 3,248-3,336 MHz. Therefore, the fabrication of this antenna design can be used for both applications.
Topologi dan Kajian Kinerja Multi Konverter Arus Searah untuk Multi Generator-Hidro Mini Rizki Nurilyas Ahmad; Mochammad Facta; Iwan Setiawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4343

Abstract

Energy wasted in the household streams can be easily found in the water faucets, showers, toilet sprinkles, and other equipment in plumbing systems where water only flows to clean out before it becomes a waste substance. Energy from flowing waters can be collected and converted to more useful forms of energy like electricity as it can be immediately utilized or stored. In the further development of the mini compact turbine generator (MCTG), the water flowing through every part of the house plumbing system is intended to be collected as electrical power. Unfortunately, the voltage produced by the conventional MCTG is insufficient for immediate applications in various electrical devices. In addition, the generated voltage does not conform to the voltage rating of the battery’s terminal as a medium for storing electrical energy. This research proposes the performance improvement of the MCTG output to produce a higher voltage by adding a DC boost converter, which can operate in a single or cascaded configuration to address issues with the MCTG output voltage and the boost converter’s efficiency when operating in high duty cycle values. Designs and simulations were conducted to obtain the expected criteria for electrical voltage generation. Several topologies tested included the single converter system, cascaded converter system, cascaded converter system with a selector, and parallel system. The results demonstrated that the parallel system worked better than the three topologies as it could yield voltage according to the reference voltage of 14 V and efficiency above 0.9 on the broader range of rotations of the MCTG rotor shaft.
Pengaruh Dinding Penghalang pada Deteksi Tanda Vital Pernapasan dengan Through Wall Radar Fildha Ridhia; Aloysius Adya Pramudita; Yuyu Wahyu; Harfan Hian Ryanu
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4349

Abstract

Through-Wall Radar (TWR) has been extensively applied in various fields, one of which is in the search for, or evacuation of disaster victims struck by rubbles. The TWR is an application of radar systems operating in a wide frequency range or ultra-wideband (UWB), hence it has a high accuracy level in detecting objects behind walls. In this study, the Vivaldi antenna was used to obtain a high-level resolution for its capability to operate on UWB. Parameters such as dielectric characteristics are needed for each barrier type to generate a high accuracy level. The experiment was conducted to determine the effect of barrier walls on the detection of vital signs of respiration using a radar system modeled using two methods, namely, a vector network analyzer (VNA) and bladeRF. The experiment stages included the making of the experimental system design, experimental data collection, experimental data processing, and experimental results analysis. Wall types used in this study were brick and wooden walls. The experimental data results were used to analyze the effect of the barrier on the detection of vital signs of respiration using a radar system. Experiments using VNA as a radar system were conducted to analyze the effect of the barrier wall on the detection of the target behind the barrier wall. Experiments using bladeRF as a radar system were conducted to prove the presence or absence of a barrier effect on the detection of vital signs of respiration using a radar system. The measurement results showed that the largest peak-to-peak signal amplitude decrease occurred in the target detection with a distance of 125 cm, which was 11.51 dB, and a delay of 0.084 ns when using the Hebel brick barrier. Meanwhile, in wooden barriers, the average decrease in peak-to-peak signal amplitude was 2.968 dB, and the delay was 0.006 ns.
Perbandingan Dua Observer Kecepatan Motor Arus Searah pada Sistem Kendali tanpa Sensor Kecepatan Bernadeta Wuri Harini; Martanto; Tjendro
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.5019

Abstract

In a sensorless motor speed control system, the motor speed is not directly measured using a speed sensor, but it is estimated using an observer. The sensorless speed control systems are mostly applied to AC motors, while they have not been widely applied to DC motors. Therefore, this paper presents simple observers to estimate the DC motor speed. The observers used were based on the DC motor electric equation. Two methods were used in this research. The first method was the observer estimating the speed based on the resistance inductance values (L-R method), while the second was the observer estimating the motor’s speed only based on the motor’s resistance value (R method). The speed was estimated using armature current (ia) and voltage (va). Therefore, a current and voltage sensor was used. Not only was the observer estimated, but it was also implemented on a real DC motor. An Arduino microcontroller was used to calculate the speed. The LN298 was used as a DC motor drive. Even though the R method is simpler, the test result showed that its speed estimation was less precise than the L-R method. By manual calculation, the motor speed estimation result in the L-R method had an error of 0.14%, while the motor speed estimation results in the R method had an error of 5.03%. The estimation results of motor speed implemented on a real DC motor and microcontroller system in the L-R method had an error of 3.98%, while the result of the estimation of motor speed in the R method had an error of 4.87%.
Peningkatan Stabilitas Transien pada Turbin Angin Berbasis DFIG Menggunakan SFCL tipe Bridge Doane Puri Mustika; Sasongko Pramono Hadi; Mokhammad Isnaeni B; Mohd. Brado Frasetyo; Tumiran
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.5031

Abstract

Today’s electrical energy is mainly produced by burning fossil fuels, which actually has negative effects on earth, namely global warming. In the electricity sector, measures that can be taken to reduce emissions include replacing conventional generators with renewable ones. Wind energy is one type of new renewable energies (NREs) with the potential to reduce emissions. Wind turbines widely used today are variable speed wind turbines, such as the doubly-fed induction generator (DFIG). DFIG has numerous advantages, like having more flexibility and being able to control both active and reactive powers. However, it often encounters instability problems in its system when experiencing transients. Therefore, a solution that can improve transient stability in DFIG is needed. The bridge-type superconducting fault current limiter (SFCL) was used in this research as a solution to improve the transient stability in DFIG, which consisted of two diodes and two inductors. This bridge-type SFCL operates by limiting the current in the event of faults, preventing the system from voltage drops or trips. The simulation results were analyzed under two circumstances. In the first circumstance, the 9 MW DFIG wind turbine system which was given faults using SFCL produced a voltage value of 219 V, with a more stable frequency value of 50 Hz, and an active power value of 9 MW. Meanwhile, when a system that did not use SFCL was given faults, the voltage dropped from the normal state of 219 V to 100 V. The frequency value was less stable, fluctuating between 49.75 Hz and 50.25 Hz, while the active power dropped from 9 MW to 6 MW. This result proves that the bridge-type SFCL method effectively increases the transient stability in DFIG.
Estimasi Deviasi Parameter pada Motor DC Menggunakan Sliding-Mode Observer dan Algoritme Least-Square Dzuhri Radityo Utomo; Muhammad Faris
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.5036

Abstract

Performing system/plant maintenance is very important as an attempt to avoid any failure during system/plant operation. One of the methods that can be adopted to detect any potential failure inside a plant is by estimating the value of the plant’s parameters. When the plant’s parameters deviate too far from their nominal values, the plant will be more likely to fail. In this paper, an estimation method for estimating the deviation in the parameters of a linear system/plant is proposed as an improvement of the previously proposed method. The main component of this parameter deviation estimator system was an observer block which adopted the sliding-mode observer in combination with an adaptive filter block. The adaptive filter block used in this system adopted the least-square algorithm instead of adopting the gradient-descent algorithm as in the previously proposed method. This method was simulated to estimate the deviation in the parameters of DC motor to verify the effectiveness of the proposed metho. The simulation results showed that this method could successfully estimate the deviation of DC motor parameters with a maximum estimation error of less than 4 %. This method could estimate the deviation in DC motor parameters for both constant deviation value and slowly-changing deviation value as time goes by. In addition, estimating the parameter deviation using this method could produce a good level of accuracy even when using a fairly low-frequency input signal. This method is suitable to be adopted in parameter monitoring process of a linear system so that any fault occurring in the system can be detected and isolated before the plant is fatally damaged.
TopC-CAMF: Sistem Perekomendasi Matrix Factorization Berbasis Top Context Rosni Lumbantoruan; Paulus Simanjuntak; Inggrid Aritonang; Erika Simaremare
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.5399

Abstract

Online activities have been more and more vital as the digital business has expanded. Users can conduct most activities online such as online shops, hotel bookings, or online educations and courses. A large number of social users are drawn to the abundance of goods available on the Internet. The huge amount of information makes it impossible for social users to navigate it properly and efficiently. Many companies have offered a personalization to tackle this issue. It is proven that the personalized recommendation systems are able to suggest items to users based on their interests and needs that best suit them, which can be captured from user’s contextual information. However, most of the studies capture this contextual information from the predefined contexts such as location and time. In this study, the personalized user context from the user’s text review that they posted as they gave rating to an item was obtained. To this end, a new approach based on the matrix factorization recommendation model, TopC-CAMF, was proposed. TopC-CAMF investigates and finds the most important contexts or needs for each user by leveraging the deep learning model. First, all important contexts from user’s text reviews were extracted. The next step was representing user preferences with the variations of most important contexts, namely top 5, top 10, top 15, top 20, and top 25 contexts. Then, the best top context variation was evaluated and the optimal one was used as the input for the matrix factorization method in providing better recommendations. Extensive experiments using three real datasets were conducted to prove the effectiveness of the TopC-CAMF in terms of root mean square error (RMSE), mean absolute error (MAE), mean squared error (MSE), normalized discounted cumulative gain (NDCG), and Recall.

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