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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 644 Documents
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Evaluasi Platform Perangkat Keras Sistem Tertanam untuk Unit Kontrol Parkir Otomatis Wahyu Dewanto; Agung Fathurrahman; Agus Bejo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.6277

Abstract

Automatic parking system is one of the parking management technologies that is widely used in various institutions today. An automatic parking system works by controlling a parking gate automatically to open and close the gate and record the vehicle’s license plate when entering and exiting using access control such as a smart card or radio frequency identification (RFID). One of the challenges in implementing an automatic parking system is traffic congestion during high traffic conditions. This challenge arises because the control unit in the automatic parking system takes a relatively long time to process and store images from the camera. This research examined several embedded system platforms as automatic parking system control units, including Raspberry Pi 3B, Raspberry Pi 4B, and Orange Pi Zero Plus. The evaluation is intended to find the best control unit platform based on several criteria, such as the execution time in capturing images, storing images, and the consumed power. From the evaluation results, it can be concluded that the Raspberry Pi 4B platform results in the fastest execution time for capturing and storing images, with an average time of 1,827.9 ms. Meanwhile, the Orange Pi Zero Plus platform achieves the lowest power consumption at 1.9 W. Based on the evaluation results, the Raspberry Pi 4B is recommended as the control unit if the automatic parking system requires a high-performance device. Otherwise, the Orange Pi Zero Plus is more recommended if the automatic parking system requires a low-power device.
Studi Penerapan Power Wheeling Pembangkit Fotovoltaik Dengan Metode MW-km Muhammad Bhayu Bramantyo; Sasongko Pramonohadi; Sarjiya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
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.v13i1.6332

Abstract

Efforts to mitigate carbon emissions within the electricity sector involve the implementation of environmentally sustainable renewable energy sources. Photovoltaic (PV) generation, functioning as a distributed generation (DG), represents a current trend in renewable energy installations. A distributed generation (DG) is situated near the load within distribution networks. When applied, a PV-DG influences the magnitude of power losses within existing electrical networks, subsequently impacting associated energy loss expenses. Additionally, adequate land availability is required for the PV-DG installation. The cooperation between PV-DG power providers and load partners is conducted remotely, resulting in distribution challenges. The construction of distribution lines by business actors to evacuate their electricity production is almost impossible. Distribution network rental emerges as an interesting solution, i.e., through a distribution network collaborative utilization scheme or power wheeling. This study seeks to examine the implementation of power wheeling of PV generation within the IEEE 33-bus distribution network system, by finding the location of the bus placement of the PV wheeling generation that results in the smallest total energy loss cost and distribution network rental cost. The MW-km method served as the basis for calculating network rental expenses. Moreover, this study incorporated the land availability associated with each bus. Findings indicate that positioning the PV wheeling generation at bus 8 yielded minimal total annual energy loss and distribution network rental costs. It indicates that the placement of a wheeling PV generation in arbitrary places does not necessarily result in the smallest total energy loss costs and distribution network rental costs.
INVys: Sistem Navigasi Dalam Ruangan untuk Penyandang Tunanetra Menggunakan Kamera RGB-D Widyawan; Muhamad Risqi Utama Saputra; Paulus Insap Santosa
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.6372

Abstract

This research presents the INVys system aiming to solve the problem of indoor navigation for persons with visual impairment by leveraging the capabilities of an RGB-D camera. The system utilizes the depth information provided by the camera for micronavigation, which involves sensing and avoiding obstacles in the immediate environment. The INVys system proposes a novel auto-adaptive double thresholding (AADT) method to detect obstacles, calculate their distance, and provide feedback to the user to avoid them. AADT has been evaluated and compared to baseline and auto-adaptive thresholding (AAT) methods using four criteria: accuracy, precision, robustness, and execution time. The results indicate that AADT excels in accuracy, precision, and robustness, making it a suitable method for obstacle detection and avoidance in the context of indoor navigation for persons with visual impairment. In addition to micronavigation, the INVys system utilizes the color information provided by the camera for macro-navigation, which involves recognizing and following navigational markers called optical glyphs. The system uses an automatic glyph binarization method to recognize the glyphs and evaluates them using two criteria: accuracy and execution time. The results indicate that the proposed method is accurate and efficient in recognizing the optical glyphs, making it suitable for use as a navigational marker in indoor environments. Furthermore, the study also provides a correlation between the size of the glyphs, the distance of the recognized glyphs, the tilt condition of the recognized glyphs, and the accuracy of glyph recognition. These correlations define the minimum glyph size that can be practically used for indoor navigation for persons with visual impairment. Overall, this research presents a promising solution for indoor navigation for persons with visual impairment by leveraging the capabilities of an RGB-D camera and proposing novel methods for obstacle detection and avoidance and for recognizing navigational markers.
Modulasi Single-Phase Shift Untuk Konverter DAB Pada Simulasi Typhoon HIL Yohan Fajar Sidik; F. Danang Wijaya; Roni Irnawan; Muhammad Ridwan; Kevin Gausultan; Sriyono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
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.v13i1.6876

Abstract

Solid-state transformer (SST) could be a solution for a future distribution system, in which many renewable energy sources (RES) are integrated. The SST consists of a single-phase dual-active bridge (DAB) converter, which is scale-down the dc voltage level. The control objective of the DAB converter used in the SST is to control its output voltage. This control strategy consists of a proportional-integral (PI) controller and a single-phase shift (SPS) modulation. Numerous literatures have mentioned about the SPS modulation for the DAB converter. However, they do not provide procedures in implementing the SPS modulation in the real controller. This paper aims to develop the SPS modulation in the real controller of the STM32F446RE microcontroller. The proposed SPS modulation is based on a master-slave timer feature, which is available in the STM32 microcontroller. The development process and testing of the complete control strategy of the DAB converter were carried out in the hardware-in-the-loop (HIL) simulation using Typhoon HIL. This scheme speeds up the development of process and reduces the costs. The experiment in the HIL environment shows that proposed control strategy of the DAB converter consisting of the PI controller and the SPS modulation is successfully implemented in the real microcontroller of the STM32F446RE. The proposed control strategy of the DAB converter is capable of bidirectional power flow, which is useful for integrating distributed generators in the load side. Moreover, this control strategy can reject the disturbance caused by loads.
Klasifikasi Wilayah Rawan Banjir di Tomohon Menggunakan Citra Satelit Landsat 8 OLI Gabriel Kenisa Meqfaden Baali; Kristoko Dwi Hartomo; Sri Yulianto Joko Prasetyo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.7396

Abstract

Natural disasters often occur unexpectedly, resulting in both material and nonmaterial losses. Floods are among natural disasters that often occurs in several regions in Indonesia, one of which is Tomohon. Tomohon is a city located in the highlands, so it is expected to have a low flood risk level. Nevertheless, in reality, flood still occurs in Tomohon, which then causes material and nonmaterial losses. The data used in this research were the satellite imagery of the Landsat 8 onboard operational land imager (OLI) accessed through the United States Geographical Survey (USGS). The land covers in Tomohon were classified using the supervised classification method with the minimum distance classification (MDC) algorithm. This method provided the advantage of classifying land covers by utilizing training data in Tomohon, achieving an accuracy rate of 99.56%. In addition, the calculations of normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and soil adjusted vegetation index (SAVI) were also utilized to determine the level of vegetation and surface soil moisture in Tomohon using the Quantum GIS (QGIS) application. Upon examining the land covers and calculating the index, weighting was once more performed in accordance with criteria. It was done to facilitate the classification of the area into three flood risk classifications: high, medium, and low. The results showed that green spaces in Tomohon are still greater than residential areas. However, NDVI, NDWI, and SAVI calculations indicated that some densely populated areas are susceptible to flood. These areas include Tomohon Selatan and Tomohon Tengah Subdistricts, which have a high level of flood risk and the Tomohon Timur Subdistrict, which has a medium level of flood risk.
Perbaikan Keandalan PLTU Tembilahan dengan Penambahan Kapasitas Pembangkit Fadhil M Hanafi; Dian Yayan Sukma
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.7507

Abstract

To ensure good generating system reliability, the presence of operating generating units or adequate power reserves in the generating system is very important. The availability of power reserves in the system depends on various factors, including the frequency of disturbances in generating units and the peak capacity required by the system. One example of a generating system is the Tembilahan steam power plant, which has a capacity of 2 × 7 MW and serves a peak load of 14.31 MW in 2019 until 2022. However, in that period, the reliability of the generating system, as measured by the loss of load expectation (LOLE) index, only reached 33 days/year, far below the standard of the State Electricity Company (Perusahaan Listrik Negara, PT PLN) 2021 to 2030 Electricity Supply Business Plan (Rencana Usaha Penyediaan Tenaga Listrik, RUPTL) of 1 day/year. To improve the reliability of the Tembilahan steam power plant generation system in 2027, an analysis is needed to consider the procurement period of the plant and the availability of land in the system. This analysis involves using the recursive convolution method to calculate the loss of load probability (LOLP)/ loss of load expectation (LOLE) index and the simple linear regression method to estimate the peak load in that year. Based on the results of the analysis, it was found that the addition of three generating units of 7 MW could improve the reliability of the generation system. The area required for these additional units was 2,030.91 m2 and the available land was still sufficient. After the improvements were made, the reliability index LOLE of the generating system increased to 0.078 days/year for the year 2027, meeting the standards for the reliability level of the plant based on PT PLN’s 20212030 RUPTL.
Perbandingan Fase Ekspresi Menggunakan Local Binary Pattern Histogram Untuk Pengenalan Ekspresi Mikro Ulla Delfana Rosiani; Priska Choirina; Yessy Nindi Pratiwi Pratiwi; Septiar Enggar Sukmana
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.7818

Abstract

Microexpression is an emotional representation occurring spontaneously and cannot be controlled consciously. It is temporary (short duration) with subtle movements, making it difficult to detect with the naked eye. Microexpressions’ muscle movements are generated in only a few small areas of the face, so observation of specific areas results in faster computation time and provides important information compared to observation of the entire face. This research proposes reducing the observation area and phase for microexpression recognition. The observed areas in the Chinese Academy of Science Micro-Expressions (CASME II) dataset are left and right eyebrows, right and left eyes, and mouth. The observation phase of microexpressions included analyzing the comparison in the onset to offset phase (“fullOAO”) and in the onset, apex, and offset phase (“OAO”). Feature extraction was performed using a simple local binary patterns histogram (LBPH) method, which can represent local features in the facial area. The best result of the proposed method was the “fullOAO” phase with an accuracy of 96.8% (using support vector machine-radial basis function, SVM-RBF) and an average computation time of 0.192 ms per frame and 10.473 ms per video. In “OAO” phase type, an accuracy of 87.7% was achieved with a computation time of 0.159 ms per frame and 0.576 ms per video. The difference in accuracy and computation time between the two-phase types occurs because the number of frames in “fullOAO” type is greater than in “OAO”, resulting in a different amount of processing time and feature extraction data. However, the 9% decrease in accuracy does not significantly affect the accuracy since the accuracy rate is still relatively good, above 80%. Furthermore, the correct measurement for computation time was the time taken to process each frame in the input video. Therefore, the proposed method can produce fast computation time and relatively accurate recognition.
Pemodelan dan Simulasi MPPT pada Sistem PLTS Menggunakan Metode DNN Edi Leksono; Robi Sobirin; Reza Fauzi Iskandar; Putu Handre Kertha Utama; Mochammad Iqbal Bayeqi; Muhammad Fatih Hasan; Irsyad Nashirul Haq; Justin Pradipta
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.7931

Abstract

The maximum power point tracking (MPPT) feature in solar power plants is an essential function in increasing the efficiency of electricity production. The incremental conductance (InC) algorithm controls MPPT, aiming to maximize the output power of photovoltaic (PV) panels and increase the efficiency of the solar power plant system. Even though the InC algorithm is simple and practical, this algorithm tends to lack support in precise switching speeds, is sensitive to the measurement precision level, and is inadequate to eliminate power oscillations due to tight switching cycles. The deep neural network (DNN) algorithm has the potential to answer the challenges of MPPT dynamics. DNN’s learning capabilities enable the controller to better recognize the dynamics of shifts in maximum power values, thereby providing more appropriate contact actuation. The input for the DNN is the duty ratio produced by the InC algorithm. The DNN algorithm was implemented on three DC-to-DC power converter topologies, namely buck, boost, and buck-boost, to determine MPPT performance under standard tests and actual environmental conditions. DNN has demonstrated the ability to reduce oscillation effects, speed up steady-state time, and increase efficiency. In actual environmental conditions, the results showed that the buck converter consistently produced the highest power, followed by the boost and the buck-boost converters. Regarding performance efficiency, the buck converter achieved the highest efficiency at 94.58%, followed by the boost converter at 90.79%. Conversely, the buck-boost converter had the lowest performance efficiency, with an efficiency of 79.34%.
Skema Proteksi Resonansi Tegangan Lebih Saluran Udara Tegangan Ekstra Tinggi 500 kV Imam Ghozali; Mochammad Facta; Abdul Syakur
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
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.v12i4.8114

Abstract

Shunt reactors are frequently installed at the end of a 500 kV double circuit extra high voltage transmission lines (EHVTL) to help overcome the voltage rise caused by the long line capacitance. However, voltage problems may still occur, especially during the voltage injection process in new transmission lines that have been installed, due to voltage induction and parameter reinforcement from other circuits within the same line that have been injected earlier. The problem of overvoltage occurrence becomes even more complex because the line and shunt reactor have been completely installed, making it impossible to change the length of the line and the capacity of the shunt reactor. The overvoltage phenomenon in this research occurs when one circuit in the transmission line has not been injected. However, the shunt reactor has been connected so that the line receives induction and strengthening from another circuit because, at the same time, the second circuit has been injected with operating voltage. Overvoltage in this research occurs when one circuit in the transmission line has not been injected. Nevertheless, the shunt reactor has been connected so that the line receives induction and reinforcement from another circuit because, at the same time, the second circuit has been injected with operating voltage. This paper proposes modifications to the voltage injection maneuver scenario into the line, modifications to the protection scheme in the event of a phase-to-ground fault, and the addition of an overvoltage relay to overcome the overvoltage conditions. Modifying the voltage injection maneuver scenario could decrease the overvoltage on lines not injected with voltage up to 31.9 kVp. Changing the protection scheme when a phase-to-ground fault occurred by commanding the shunt reactor’s circuit breaker (CB) to open could prevent voltage rises in the undisturbed phase. A voltage relay was added in order to anticipate the occurrence of overvoltage when there was a disturbance in the line, and the shunt reactor CB could not open due to internal disturbances.
Identifikasi Atlet Anggar Berdasarkan Pengukuran Antropometri Menggunakan MediaPipe Pose Bagas Alif Fimaskoro; Suci Aulia; Dery Rimasa
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
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.v13i1.8145

Abstract

Over time, numerous developments in digital technology have benefited people, including anthropometric measurements that provide information on an athlete’s ability in sports. The use of digital technology in sports must continue, particularly in the National Sports Committee of Indonesia (Komite Olahraga Nasional Indonesia, KONI) of Bandung City. This study proposed a technique for classifying and identifying fencing athletes’ talents. This work developed a methodology for evaluating sports talent based on anthropometric measurements of athletes’ bodies using the posture detection approach. Fencing and nonfencing athletes in KONI Bandung City were categorized using this talent identification. This study used 36 datasets of body posture images from various skills of the sport. These images were in JPEG or JPG format with a resolution of 3,024 × 4,032 and were acquired using a Canon EOS 1300D camera. This study utilized four points landmarks, which are usually used as measurement components in KONI, to categorize fencing athletes. The four points are shoulder (S), elbow (E), index (I), and hip (H) landmarks. The testing was done using three different dataset settings. According to the test results of all scenarios, scenario 2 had the highest accuracy. This scenario was able to categorize fencing and nonfencing athletes with an accuracy rate of 89% and an average processing time of less than 3 s per image.

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