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  Subjects -> ELECTRONICS (Total: 207 journals)
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JAREE (Journal on Advanced Research in Electrical Engineering)
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2580-0361 - ISSN (Online) 2579-6216
Published by Institut Teknologi Sepuluh Nopember Homepage  [6 journals]
  • Preliminary Study of Solar Energy Utilization for Rural Electrical Energy.
           Case Studies in Central Kalimantan

    • Authors: Andrianshah Priyadi, Budi Sutrisno, Setya Sunarna, Fariz Maulana Rizanulhaq, Wulan Erna Komariah, Adjat Sudradjat, Dian Khairiani
      Abstract: Indonesia gradually improves the electricity system's reliability and reaches the areas which contain frontier, outermost and underdeveloped areas by utilizing local energy potential. It can be done independently and in groups to meet the need for electrical energy in remote villages. Electrical power is obtained from generators and solar modules installed in each resident's house, where the capacity and quality are minimal. The initial study was completed in 2019 and took place in Central Kalimantan province, divided into three districts consisting of ten villages. Access to the village is a challenge in satisfying electrical energy needs, so alternatives are needed to meet the demands of electrical energy for areas that are difficult to reach by the electricity network. The solar power plant is one alternative to using new and renewable energy. The State Electric Company is an Indonesian state-owned enterprise that generates, transmits, and distributes electric power which also responsible to provide the electricity network in Indonesia. This study's village information was obtained from the survey results, village energy needs, and costs incurred when the solar power system was installed.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.327
      Issue No: Vol. 7, No. 1 (2023)
  • House Price Prediction using Multiple Linear Regression and KNN

    • Authors: Fransiskus Dwi Febriyanto, Endroyono Endroyono, Yoyon Kusnendar
      Abstract: The transition of BPHTB management from central taxes to regional taxes is a continuation of the regional autonomy policy. The difference between the market value and the prevailing NJOP poses a challenge for the Sintang District Government in determining the Tax Object Acquisition Value (NPOP) as the basis for imposing BPHTB. Machine learning has been extensively explored for predictions and can be an alternative that can help predict NPOP, especially house prices. This study uses backward elimination and forward selection methods to select the features used in this study and multiple linear regression and K-Nearest Neighbor methods to make house price prediction models. The results of model performance measurement using RMSE, Multiple Linear Regression method with feature selection using backward elimination resulted in a better model with an RMSE value of 44.02 (million rupiahs) and an R2 value of 0.707.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.328
      Issue No: Vol. 7, No. 1 (2023)
  • Smart Traffic Light Using YOLO Based Camera with Deep Reinforcement
           Learning Algorithm

    • Authors: Mochammad Sahal, Zulkifli Hidayat, Yusuf Bilfaqih, Mohamad Abdul Hady, Yosua Marthin Hawila Tampubolon
      Abstract: Congestion is a common problem that often occurs in big cities. Congestion causes a lot of losses, such as in terms of time, economy, to the psychology of road users. One of the causes of congestion is traffic lights that are not adaptive to the dynamics of traffic flow. This final project tries to solve this problem using a Reinforcement Learning approach combined with a SUMO (Simulation of Urban Mobility) traffic simulator. The data used is the real video data of the KD Cowek intersection, Surabaya. The video data is processed using the YOLO algorithm which will detect and count vehicles. The output of the video processing will be used in Reinforcement Learning. The result of Reinforcement Learning is that the total length of the traffic queue at 06.00 – 09.00 has an average of 106 vehicles.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.335
      Issue No: Vol. 7, No. 1 (2023)
  • Fault Detection Experiment of Unbalanced Voltage and Air Gap Eccentricity
           on Induction Motor Using a Flux Sensor

    • Authors: Nurul Husnah, Dimas Anton Asfani, I Made Yulistya Negara
      Abstract: — The induction motor is one of the popular equipment used in various types of industrial sectors. It is necessary to monitor the condition of the induction motor to maintain its safety and performance of the induction motor. The most common damage to the induction motor is bearing failure reaches 40% resulting in air gap eccentricity. Most of the research to detect the occurrence of air gap eccentricity is carried out based on the analysis of motor current signals. To overcome the disadvantages of the above methods, the detection of air gap eccentricity using a sensor flux that can detect leakage flux from the motor body and the fault detection results by measuring the flux signal analyzed. Flux analysis using the Fast Fourier Transform (FFT) algorithm in balanced and unbalanced voltage conditions. Induction motor failure analysis compared normal motor conditions with an eccentricity of 0.1 mm and 0.2 mm. Eccentricity detection is done by monitoring the amplitude that emerges in the frequency spectrum with notice of the threshold. Detection results from the eccentricity fault showed that success is detected 100% using a sensor flux on unbalanced voltage (under voltage 5%) at a full-load condition.
      PubDate: 2023-01-31
      Issue No: Vol. 7, No. 1 (2023)
  • Comparative Performance of Various Wavelet Transformation for the
           Detection of Normal and Arrhythmia ECG Signal

    • Authors: Mu'thiana Gusnam, Hendra Kusuma, Tri Arief Sardjono
      Abstract: Cardiac Activity forms a signal of electrical potential waves in the heart that can be recorded using an Electrocardiogram (ECG). The results of the ECG signal can determine the conditions and abnormalities experienced by the heart, such as arrhythmias. Medical personnel diagnoses normal and arrhythmia heart conditions by looking at R peaks and R-R interval features. Normal conditions have regular R peaks and R-R intervals, whereas arrhythmias are irregular. The challenges in diagnosing ECG signals are that sometimes the signal has some noises that need reducing noise (denoising) are not required in the signal so it can be easier to detect abnormalities. This paper is a brief study of the comparison of the best performance in detecting ECG signals using various wavelet transforms and optimal threshold values based on empirical methods to obtain R peaks and R-R interval features. Wavelet transform describes the signals that can compress the ECG signal and reduce noise without losing important clinical information that can be achieved by medical personnel. The wavelet transform is suitable for approaching data with a discontinuity signal, so the frequency component will increase if noise or anomalies occur in the ECG signal. The various wavelet transforms used Daubechies (db4), Symlets (sym4), Coiflets (coif4), and Biorthogonal (bior3.7) with four types of Detail and Approximate levels; they are Level 1, 2, 3, and 4. The comparison result for the best performance of the various wavelet transforms is using Daubechies wavelet, and biorthogonal wavelet with an accuracy percentage of 100% at level 2 for diagnosing arrhythmia and 93.1% at level 1 for normal diagnosis from 31 data for arrhythmia and 18 for Normal sourced of the MIT-BIH Database. Hence, the total accuracy results obtained from all the data tested is 96.55%.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.343
      Issue No: Vol. 7, No. 1 (2023)
  • Water Discharge Control in BLDC Motor Driven Pumps to Increase Drip
           Irrigation Accuracy

    • Authors: suwito suwito, Muhammad Rivai
      Abstract: Drip irrigation is the most energy and water-efficient irrigation. The multi-sector drip irrigation system can irrigate various types of plants which are divided into several sectors. Changes in the number of active sectors due to differences in irrigation duration resulted in unstable emitter discharges. This instability makes irrigation inaccurate and results in excess or shortage of water supply for crops. Water pump control is needed to match the amount of active emitter discharge. This study controls the discharge of water pumps in multi-sector drip irrigation so that the discharge is in accordance with the number of active emitters. The pump discharge control uses the proportional integral and derivative (PID) method. The type of centrifugal water pump used is driven by a Brushless DC (BLDC) motor with a six-step speed control method. The test results show that the pump can adjust the water discharge with a steady state error of 2.8%.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.346
      Issue No: Vol. 7, No. 1 (2023)
  • A Review: Cybersecurity Challenges and their Solutions in Connected and
           Autonomous Vehicles (CAVs)

    • Authors: Zubair Saeed, Mubashir Masood, Misha Urooj Khan
      Abstract: Connected and Autonomous Vehicles (CAVs) are a crucial breakthrough in the automotive industry and a magnificent step toward a safe, secure, and intelligent transportation system (ITS). CAVs offer tremendous benefits to our society and environment, such as mitigation of traffic accidents, reduction in traffic congestion, fewer emissions of harmful gases, etc. However, emerging automotive technology also has some serious safety concerns. One of them is cyber security. Conventional vehicles are less prone to cyber-attacks, but CAVs are more susceptible to such events as they communicate with the surrounding infrastructure and other vehicles. To gather data for a better perception of their surroundings, CAVs are outfitted with state-of-the-art sensors and modules like LiDAR, GPS, RADAR, onboard computers, cameras, etc. Hackers, terrorist organizations, and vandals can manipulate this sensor data or may access the primary control by cyber-attack, which may result in enormous fatalities. The automotive industry must put up a rigid framework against cyber invasions to make CAVs a more reliable and secure means of transportation. This paper provides an overview of cybersecurity challenges in CAVs at the module and software levels. The sources of active and passive threats are analyzed. Finally, a feasible solution is recommended to cope with such threats
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.322
      Issue No: Vol. 7, No. 1 (2023)
  • A method to calculate and measure losses and efficiency in DC-DC

    • Authors: mahmood vesali
      Abstract: In this paper, training on how to calculate and measure losses in power converters is presented. In the power converters all elements have losses due to circuit condition, therefore in order to calculate the losses in the elements, all conditions are considered, so the accuracy of the calculations are high. All relationships and formulas for calculating losses are presented, so the different ways of calculating losses are clear in this paper. All basic converters in this paper are studied in term of losses, so this paper is a good reference for calculating losses in DC-DC converters. In converters with soft switching, elements are added that also have losses in the converter, which the method of obtaining losses of these elements is also taught. Finally, methods for obtaining losses in simulation and experimental prototypes are given that prove the methods and theoretical formulas.
      PubDate: 2023-01-31
      DOI: 10.12962/jaree.v7i1.338
      Issue No: Vol. 7, No. 1 (2023)
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