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  Subjects -> ELECTRONICS (Total: 207 journals)
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Elkha : Jurnal Teknik Elektro
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1858-1463 - ISSN (Online) 2580-6807
Published by Universitas Tanjungpura Homepage  [7 journals]
  • Optimization Objective Function Corona Discharge Acoustic Using Fuzzy
           c-Means (FcM )

    • Authors: Miftahul Fikri, Christiono Christiono, Iwa Garniwa Mulyana K, Titi Ratnasari, Kurniawan Atmadja, Andi Amar Thahara, Muhammad Luthfiansyah Romadhoni
      Pages: 84 - 90
      Abstract: In many electrical networks in Indonesia, insulation failure due to high voltage phenomena like Corona Discharge (CD) still happens. This is a result of our inability to perform early Corona Discharge (CD) identification. This study’s objective is to optimalize the sound properties of Corona Discharge (CD) as a first step throught the early identification of insulation failure in the form of clustering 20 kV cubicle. Based on observations on the needle-rod electrode 3 cm apart, the smallest breakdown was obtained at 34.3 kV. So that the classification of CD sound by 3 clusters starting 20 kV cubicle voltage until before the failure occurs on 33 kV. The temperature in the cubical is between 27.5℃ - 35.3℃ and humidity ranges from 70% - 95%. It was stated in the study that the FcM method was the most widely used and successful method. In this case, FcM can obtain more flexible results that classify data into clusters easily. This research will be carried out using the Fuzzy c-Means (FcM) method. Feature extraction with linear predictive coding (LPC) method, then optimization by using the Fuzzy c-Means (FcM) method which is expected to be used as an initial step for early detection of insulation failure.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.63601
      Issue No: Vol. 15, No. 2 (2023)
       
  • Interference Analysis Between 5G System and Fixed Satellite Service in the
           28 GHz Band

    • Authors: Rafli Ghifari, Lydia Sari, R. Deiny Mardian W, Syah Alam, Indra Surjati
      Pages: 91 - 97
      Abstract: One of the most favorable frequency bands for 5G technology is the 27.5 - 28.5 GHz band which has been used by Fixed Satellite System (FSS) service in the uplink direction. This potentially causes interference between the two systems. This study aims to analyze the interference that occurs between satellite earth stations and 5G access points (AP), and between 5G AP and satellite sky stations. The analysis is carried out based on simulations using the Spectrum Engineering Advanced Monte Carlo Analysis Tool (SEAMCAT) software, with two scenarios. The first scenario is to analyze interference between the 5G AP and the FSS sky station. With the C/I interference criterion of 40.2 dB, the simulation results show that the 5G AP will not interfere with the FSS sky station. The second scenario is the interference simulation between FSS earth station and 5G AP. The simulation is carried out by varying the distance between the earth station and the 5G AP, the height of the earth station, and the height of the 5G AP. Based on the simulations, it is shown that the FSS earth station can interfere with 5G AP with a probability of up to 60%, so it is necessary to adjust the distance between systems and the height of the antenna to minimize the interference. The shortest distance needed to minimize interference is 36 km with an earth station height of 5 meters.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.51040
      Issue No: Vol. 15, No. 2 (2023)
       
  • Design and Implementation of 12-Bit Arithmetic Logic Unit with 8 Operation
           Codes to Field Programmable Gate Array

    • Authors: Arwin Datumaya Wahyudi Sumari, Sukriya Hijriana, Denny Dermawan
      Pages: 98 - 105
      Abstract: Digital system has been a part of human life since the invention of the computer with a microprocessor as the central brain. At the heart of a processor is an Arithmetic Logic Unit (ALU) that handles arithmetic and logic operations. The need for high-speed computation to handle complex computations demands microprocessors with higher performance. The existing 4-opcode 8-bit ALU cannot handle multiplication operations, so a solution is needed. In this research, while raising the appeal of beginners, a 12-bit ALU with eight operation codes (opcode) was designed and implemented in Xilinx’s Field Programmable Gate Array using a schematic diagram approach through logic gates. The designed and implemented ALU provides addition, subtraction, multiplication, square, AND, OR, NAND, and XOR operations. The multiplication operation was tested by performing the computation to provided datasets to obtain the distance travelled by ten military aircraft based on their maximum speed and air travel duration to ensure its performance. The computation performance comparison with an 8-bit ALU with four opcodes was also done. The computation was done for air travel between 10 to 60 minutes with a 10-minute difference. It was found that the 12-bit ALU with eight opcodes outperformed its contender with computation differences between 130.815 ns and 1,468.214 ns. This high performance is supported by the multiply operation that does repeated addition at one time. Based on this finding, the 8-opcode 12-bit ALU is more efficient in the context of computation time, with consistent accuracy. Moreover, the computation time required to calculate military aircraft data with different maximum speeds and air travel duration is only 119.501 ns.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.64041
      Issue No: Vol. 15, No. 2 (2023)
       
  • Rotor Speed Analysis of SMC-based IFOC for Low-Speed Induction Motor
           Control

    • Authors: Angga Wahyu Aditya, Ihsan Ihsan, Fachri Husaini, Faisal Faiiz Ramadhanu
      Pages: 106 - 111
      Abstract: The control of electric motors, particularly three-phase induction motors, has developed rapidly due to their application in industry. Indirect Field Oriented Control (IFOC) is one of the most widely used control systems due to its ease of application. IFOC controls a three-phase induction motor in the same way as a DC motor. However, IFOC requires a Sliding Mode Control (SMC) controller with Lyapunov stability theory to ensure robustness and stability. In exceptional conditions, such as low-speed settings, the SMC-based IFOC requires unique sets to operate with a steady-state error (Ess) at a speed response of less than 2%. Other parameters to be considered are rise time and electromagnetic torque response at low speeds. The addition of the boundary layer of the hyperbolic tangent function to a first-order SMC can increase induction motor (IM) control up to 175 rpm with a value of Ess = 1.96% compared to the saturation and signum functions, which are only capable of a reference speed of 300 rpm in no-load conditions with a value of Ess = 2% for the saturation function and 1.94% for the signum function. SMC with the hyperbolic tangent function boundary layer performs best under load conditions. The rising time value does not significantly differ under no-load or torque-load conditions between the SMC with the saturation, hyperbolic tangent function boundary layers and without the boundary layer. Adding a boundary layer with the hyperbolic tangent function can reduce ripple significantly compared to the saturation function under no-load or load conditions.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.67321
      Issue No: Vol. 15, No. 2 (2023)
       
  • Temperature and Humidity Control System for Pole-Mounted Metering Circuit
           Breaker with Artificial Neural Network Methods

    • Authors: Mirza Ghulam Ahmad, Moh. Zaenal Efendi, Rachma Prilian Eviningsih
      Pages: 112 - 119
      Abstract: Pole-mounted Metering Circuit Breaker (PMCB) is a medium voltage protection device. Problems in the PMCB because operating at medium voltage causes insulation problems. The isolation problem that arises is due to partial discharge. Partial discharge can trigger the risk of flashover. In addition, corona discharge causes corrosion of the conductor, the effect is a failure and disconnection of electricity. This control system aims to maintain the temperature and humidity of the PMCB at the nominal values according to the standard. Based on SPLN D3.021-1:2020, it is known that under normal service conditions, the ambient air temperature does not exceed 40°C and the average temperature for 24 hours does not exceed 35°C and the highest relative humidity is 100% RH. The control system uses an AC voltage controller which is used to control the input voltage of the heater and exhaust fan so that the temperature and humidity can reach nominal operating conditions. The control method used is an artificial neural network (ANN) to find the ignition angle of the AC voltage controller as a TRIAC control. The test results using the ANN control method, system simulation produces a temperature error of 1.029% and humidity error of 2.48% and the hardware system produces a temperature error of 2.364% and humidity error of 8.673% compared to the set point temperature of 35°C and humidity of 50% RH. It can be concluded that the ANN control method can maintain the PMCB temperature and humidity according to standards
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.67933
      Issue No: Vol. 15, No. 2 (2023)
       
  • Multi-oscillations Detection for Process Variables Based on K-Nearest
           Neighbor

    • Authors: Muhammad Amrullah, Awang Wardana, Agus Arif
      Pages: 120 - 125
      Abstract: In the process industry, a control system is important to ensure the process runs smoothly and keeps the product under predetermined specifications.  Oscillations in process variables can affect the decreasing profitability of the plant.  It is important to detect the oscillation before it becomes a problem for profitability.  Various methods have been developed; however, the methods still need to improve when implemented online for multi-oscillation. Therefore, this research uses a machine learning-based method with the K-Nearest Neighbour (KNN) algorithm to detect multi-oscillation in the control loop, and the detection methods are made to carry out online detection from real plants.  The developed method simulated the Tennessee Eastman Process (TEP), and it used Python programming to create a KNN model and extract time series data into the frequency domain.  The Message Queuing Telemetry Transport (MQTT) communication protocol has been used to implement as an online system.  The result of the implementation showed that two KNN models were made with different window size variations to get the best performance model.  The best model for multi-oscillation detection was obtained with an F1 score of 76% for detection.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.68293
      Issue No: Vol. 15, No. 2 (2023)
       
  • Reliability Analysis of Biomass Power Plant Using Loss of Load Probability
           Index at PT. Tanjung Buyu Perkasa Plantation

    • Authors: Muslimin Muslimin, Tantra Diwa Larasati, Agung Tandiminanga
      Pages: 126 - 131
      Abstract: The main function of a power generation system is to provide reliable electrical energy. This study aims to determine the reliability of Biomass Power Plants at PT. Tanjung Bayu Perkasa Plantation (PT. TBPP) in the years 2020, 2021, and 2022 using the Loss of Load Probability (LOLP) index calculation method. LOLP is a reliability index that indicates the possibility that the power plant cannot meet the demand. The LOLP of biomass power plants at PT. TBPP in 2020 amounted to 1.2769 days per year. However, the LOLP in 2020 does not comply with the standards set by the Republic of Indonesia Minister of Energy and Mineral Resources Decree in 2018. In contrast, in 2021, it was 0.53403 days per year, and in 2022, it was 0.41748 days per year, both of which meet the standards of the Republic of Indonesia Minister of Energy and Mineral Resources Decree in 2018. The LOLP is affected by the Forced Outage Rate (FOR) and demands exceeding the capacity. Based on the LOLP of biomass power plants at PT. TBPP in 2020, 2021, and 2022, it can be concluded that the reliability of biomass power plants at PT. TBPP is at a higher level of reliability compared to the micro-hydro power plant in Pantai Baru Pandasimo with a LOLP of 51.3627 days per year and the steam power plant at Pertamina EP Asset IV Field Sukowati with LOLP of 4.259535 days per year. The recommendation for future research is to explore ways better to optimize boiler operations in steam power plants at PT. TBPP.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.68481
      Issue No: Vol. 15, No. 2 (2023)
       
  • Cabin Assembly Balancing Line on Welding Using Ranked Positional Weight
           Method

    • Authors: Neneng Suryani, Lussiana ETP
      Pages: 132 - 138
      Abstract: The Indonesian automotive industry has become an essential pillar in the country's manufacturing sector. As production capacity increases, problems will also increase, including disparities in the level of efficiency and productivity of each sub-sector of the manufacturing industry in Indonesia. This problem occurs due to the need for a good process path, such as the uneven distribution of work tasks machines in the work process so that it is possible to harm the company, so a solution is needed to increase the efficiency of the production line. This research aims to improve production efficiency, particularly concerning the use of electricity costs and operator wages on the cabin type S L assembly line, by applying the Ranked Positional Weight (RPW) method. The research phases include data collection, analysis, processing, and evaluation. Based on the SL-type cabin calculations using the RPW method, the track efficiency improved by 4.69% from the initial conditions, while the track effectiveness increased by 75.02% to 79.71%. Increased the production line efficiency has impacted on the decrease in production costs Rp. 13,827,249/month.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.68714
      Issue No: Vol. 15, No. 2 (2023)
       
  • Computer Aided Classification of X-ray Images from Pediatric Pneumonia
           Subjects Collected in Developing Countries

    • Authors: Yusuf Aziz Amrulloh, Bayu Dwi Prasetyo, Ummatul Khoiriyah, Hesti Gunarti, Dwikisworo Setyowireni, Rina Triasih, Roni Naning, Amalia Setyati
      Pages: 139 - 145
      Abstract: Pneumonia is a lower tract respiratory infection due to bacteria or viruses. It is a severe disease in the pediatric population. Pneumonia is the leading cause of mortality in children under five years worldwide. One of the problems with pneumonia is the diagnosis, as the symptoms of pneumonia may overlap with other diseases, such as asthma and bronchiolitis. In this work, we propose to develop a method for classifying pneumonia and non-pneumonia using X-ray images. We collected 60 X-ray images from Dr. Sardjito Hospital, Yogyakarta, Indonesia, and the dataset from Kaggle. We processed these images through pre-processing algorithms to enhance the image quality, segmentation, white pixel computation, and classification. The novelty of our method is using the ratio of the white pixels from edge detection using the Canny algorithm with the white pixels from segmentation for classifying pneumonia/non-pneumonia. In the Kaggle dataset, our proposed method achieved an accuracy of 86.7%, a sensitivity of 100%, and a specificity of 85%. The classification using the dataset from Dr. Sardjito Hospital yields sensitivity, specificity, and accuracy of 80%, 60%, and 66.7%, respectively. Despite the low performance in the results, we proved our novel feature, ratio of white pixels, can be used to classify pneumonia/non-pneumonia. We also identified that the local dataset is essential in the algorithm development as it has a different quality from the dataset from modern countries. Further, our simple method can be developed further to support pneumonia diagnosis in resource-limited settings where the advanced computing devices or cloud connection are not available.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.69981
      Issue No: Vol. 15, No. 2 (2023)
       
  • Heading control for quadruped stair climbing based on PD controller for
           the KRSRI competition

    • Authors: Khairurizal Alfathdyanto, Adytia Darmawan, Ali Husein Alasiry, Ahmad Taufik
      Pages: 146 - 151
      Abstract: Quadruped, a robot that resembles four-legged animals, is developed for many purposes, such as surveillance and rescue. Such a caveat requires the robot to have the capability to overcome various terrain and obstacles. When moving across such a landscape, it is essential to maintain the robot's orientation steadily. Inclined terrains such as stairs have posed another challenge to the control strategy as the robot is unstable while climbing. Therefore, the contribution of this work is to address the need for heading control because of the relatively longer stairs used for the current competition compared to the past. The proposed control system simultaneously maintains the heading while keeping the body stable. The inertial measurement unit sensor carried by the robot would provide the pose needed for heading control calculations. The robot's heading becomes the base for the PD controller calculation. The final pose that stabilizes the robot while tackling heading error is a combination of correction from the PD controller and the stabilization part of the control strategy. Then, the leg servo angle determination deployed the inverse kinematics calculation from the suitable robot pose. The proposed method enabled the designed robot to maintain its heading with a 4.4-degree margin of error and stabilize the body. The quadruped also completes the stair climbing at the shortest time of 20 seconds with a speed of up to 5.5 centimeters per second.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.70381
      Issue No: Vol. 15, No. 2 (2023)
       
  • Wi-Fi Sensing for Indoor Localization via Channel State Information: A
           Survey

    • Authors: Dwi Joko Suroso, Farid Yuli Martin Adiyatma, Panarat Cherntanomwong
      Pages: 152 - 159
      Abstract: Wireless Fidelity (Wi-Fi) sensing utilization has been widespread, especially for human behavior/activity recognition. It provides high flexibility since it does not require the person/object to carry any device known as device-free. This "passive" concept is also helpful for another application of Wi-Fi sensing, i.e., indoor localization. The "sensing" is conducted using particular parameters extracted from communication links of Wi-Fi devices, i.e., channel state information (CSI). This paper explores the recent trends in CSI-based indoor localization with Wi-Fi technology as its core, including their advantages, challenges, and future directions. We found tremendous benefits can be gained by employing Wi-Fi sensing in localization supported by its performance and integrability for other intelligent systems for activity recognition.
      PubDate: 2023-10-23
      DOI: 10.26418/elkha.v15i2.70830
      Issue No: Vol. 15, No. 2 (2023)
       
 
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