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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 67 Documents
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Search results for , issue "Vol 22, No 3: June 2021" : 67 Documents clear
System identification applied to a single area electric power system under frequency response José Angel Barrios; F. Sanchez; Francisco Gonzalez-Longatt; Gianfranco Claudio
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1236-1244

Abstract

This research paper proposes a methodology to apply identification methods to find a simplified model of three different governors in a single area electric power system (SAEPS). A SAEPS with different governors-turbine is presented: a hydraulic turbine, a steam turbine and a steam reheat turbine. In this same investigation, an analytic reduction has been performed, a fifth order system was found analytically, thus a transfer function equivalent to the three different governor-turbine elements was obtained, this equivalent transfer function models the complete behavior of the three devices. Two systems identification (SI) algorithms have been proposed to apply them to this generic subspace state-space (N4SID) and generalized poisson moment functionals (GPMF) electrical system, these presented similar results. The results of the performance and simulation analysis exhibit that using the SI technique, fifth, fourth and third-order systems were obtained that graphically show a very small estimation error compared to the original signal, this fact could be check simulating the simplified models using the same input-output data. The results are presented in a table that shows a comparison of the model respond the fifth, fourth, third and second-order systems.
Early warning flood detector adopting camera by Sobel Canny edge detection algorithm method Satryo B. Utomo; Januar Fery Irawan; Rizqi Renafasih Alinra
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1796-1802

Abstract

Early warning of floods is an essential part of disaster management. Various automatic detectors have been developed in flood mitigation, including cameras. But reliability and accuracy have not been improved. Besides, the use of monitoring devices has been employed to monitor water levels in various water building facilities. The early warning flood detector was carried out with a sensor camera using an orange ball that floats near the water level gauge in a bounding box. This approach uses the integration of computer vision and image processing, namely digital image processing techniques, with Sobel Canny edge detection (SCED) algorithms to detect quickly and accurately water levels in real-time. After the water level is measured, a flood detection process is carried out based on the specified water level. According to the results of experiments in the laboratory, it has been shown that the proposed approach can detect objects accurately and fast in real-time. Besides, from the water level detection experiment, good results were obtained. Therefore, the object detection system and water level can be used as an efficient and accurate early detection system for flood disasters.
Mitigating power quality disturbances in smart grid using FACTS Yahia M. Esmail; Ali H. Kasem Alaboudy; M. S. Hassan; Gamal M. Dousoky
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1223-1235

Abstract

Power quality (PQ) assurance is a vital part of electrical distribution networks. There are many advantages and benefits of improving PQ, especially in the modern/smart grid. Smart grid (SG) has a lot of complicated and sensitive electrical components (non-linear loads) in addition to renewable energy systems (wind-solar) that may also be a source of PQ disturbances. PQ problems harm personal life and national production. Static synchronous compensator (STATCOM) and unified power quality conditioner (UPQC) are among the fastest response flexible alternating current transmission systems (FACTS) installed in smart grids to mitigate power quality disturbances such as voltage fluctuations, sag, swell, and harmonics. In this research, STATCOM and UPQC are designed and simulated in MATLAB/Simulink to overcome PQ-related disruptions in smart grids. Accordingly, the differences between the proposed two solutions are highlighted across this research and renewable energy sources' reliability during faults. Therefore, the reader will be able to choose the appropriate FACTS devices. This study emphasizes the extent of the smart grid need for the FACTS. As per the given results of this study, STATCOM and UPQC have shown exemplary performance in the PQ improvement investigations conducted in the context of smart/modern grids.
Home security monitoring system with IoT-based Raspberry Pi I Gusti Made Ngurah Desnanjaya; I Nyoman Alit Arsana
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1295-1302

Abstract

Home security monitoring system is a system that is able to monitor the house from unwanted events such as theft. Home monitoring systems can monitor and send users notices about the condition of their homes at the same time. Notifications sent in the form of pictures of the state of the room in the house, temperature conditions and gas density conditions. The home security monitoring system was created using Raspberry Pi as the control center of the system. It was connected with several sensors namely PIR sensor is used to detect objects that enter the room, raspicam is used to take pictures when the PIR sensor detects objects, temperature sensors and gas sensors are used to detect the state of temperature and gas concentration, and telegram is used as a liaison application to send notifications from Raspberry Pi to tool users. The final result of this research is to build a home security monitoring system with Raspberry Pi based on telegraph messenger. This system is able to monitor the security of the house from burglars or intruders, notify the temperature of the house and detect smoke or gas.
Pre-trained deep learning models in automatic COVID-19 diagnosis Ahmed Wasif Reza; Md Mahamudul Hasan; Nazla Nowrin; Mir Moynuddin Ahmed Shibly
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1540-1547

Abstract

Coronavirus Disease (COVID-19) is a devastating pandemic in the history of mankind. It is a highly contagious flu that can spread from human to human without revealing any symptoms. For being so contagious, detecting patients with it and isolating them has become the primary concern for healthcare professionals. This study presented an alternative way to identify COVID-19 patients by doing an automatic examination of chest X-rays of the patients. To develop such an efficient system, six pre-trained deep learning models were used. Those models were: VGG16, InceptionV3, Xception, DenseNet201, InceptionResNetV2, and EfficientNetB4. Those models were developed on two open-source datasets that have chest X-rays of patients diagnosed with COVID-19. Among the models, EfficientNetB4 achieved better performances on both datasets with 96% and 97% of accuracies. The empirical results were also exemplary. This type of automated system can help us fight this dangerous virus outbreak.
Temperature and humidity control system for broiler chicken coops Ramadiani Ramadiani; Eko Wiji Setio Budianto; Dharma Widada; Masayu Widiastuti; Muhammad Labib Jundillah
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1327-1333

Abstract

Stress in chickens due to rising cage temperatures is a problem that is often faced by breeders, especially broiler breeders. Research with the title "temperature and humidity control system for broiler chicken coops", has formulated the research problem as follows; how to make an automatic control system to maintain the temperature and humidity of the ras broiler chicken coop to keep it stable using Arduino Uno ATMega328. In this tool it has been set, if the temperature is ≥ 30º C then the water pump will turn on, and the water pump will turn off when the temperature is ≤ 29º C. Based on the results in this study, the temperature and humidity control system succeeded in helping farmers keep the temperature of the ras broiler chicken coop remained stable, so that farmers' production can be increased. In addition, this system also helps efficiency in terms of time and labor, because this system works automatically.
Prediction of student’s performance through educational data mining techniques Nibras Z. Salih; Walaa Khalaf
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1708-1715

Abstract

Many educators have worried about the failures of students through academic education. Thus, a variety of predictions have been applied to general information including culture, social, and economic information which wasn’t related to student performance. We have gathered an actual dataset from three years of academic stages of Mustansiriyah University in Iraq. The dataset consists of academic information without any socioeconomic data, it includes forty-four undergraduate students with thirteen attributes. We have proposed a model that explains the correlation between two main subjects which are, mathematics, and control systems. This study aimed to identify student failure of the control systems subject in the third year depending on the academic features of the mathematics subjects in the first and second years. Three algorithms were applied to the dataset including Naïve Bayes, support vector machine, and multilayer perceptron. Since the dataset was imbalanced, this leads to appear overfitting problem in the results so the synthetic minority oversampling technique was utilized to solve this problem. Our results show that the support vector machine algorithm proves an efficient classification after applied synthetic minority oversampling technique. The accuracy of the classifiers was measured from the confusion matrix using the Waikato environment for knowledge analysis (WEKA) tool and its related metrics.
Multi-agent class timetabling for higher educational institutions using prometheus platform Angelita D. Guia; Melvin A. Ballera
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1679-1687

Abstract

A in a university setting, class scheduling is vital for teaching and learning process. Academic institutions rely on time tables in their day to day activities. University Course Timeframe problem can be resolved by using multi-agent systems-based method which may increase the independence of each department's class scheduling, adaptability in a distributed environment and prevents conflicts between events or resources, and unforeseen allocation through intervention between agents in a dispersed environment. Class timing is performed manually in most of the higher educational institutions, which is a very challenging and time-consuming process. The main objective of the study is to build a multi-agent class timing system that automates the process of class scheduling of higher education institutions (HEIs) using the Prometheus methodology. The implementation of the Prometheus approach in the development of a multi-agent framework has resulted in a complete and comprehensive system covering all phases of software development as applied to the agent systems.
Information system for monitoring of urban air pollution by heavy metals Zhanar Oralbekova; Zarına Khassenova; Bakhyt Mynbayeva; Makpal Zhartybayeva; Kazizat Iskakov
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1590-1600

Abstract

The authors of the article formulated the information monitoring system of Almaty city (The Republic of Kazakhstan). One of the urgent problems of the modern world is the ecological safety of the urban environment. The well-known unfavorable natural and anthropogenic factors of the Almaty city include the following: geographical and climatic features of the area, the lack of technologies for monitoring atmospheric air and traffic jams. All of the above factors increase the emissions of pollutants into the atmosphere, in particular, toxic heavy metals. A promising direction for solving this problem is the development of real-time monitoring using a mathematical model of data assimilation and the creation of software that allows you to assess the state of the system in real time. In this regard, this article describes the developed information system for the algorithm of data assimilation that optimizes the process of monitoring atmospheric air pollution with heavy metals.
Internal pilot insertion for polar codes Walled K. Abdulwahab; Abdulkareem A. Kadhim
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1495-1504

Abstract

Two internal pilot insertion methods are proposed for polar codes to improve their error correction performance. The presented methods are based on a study of the weight distribution of the given polar code. The insertion of pilot bits provided a new way to control the coding rate of the modified polar code on the basis of the Hamming weight properties without sacrificing the code construction and the related channel condition. Rate control is highly demanded by 5G channel coding schemes. Two short-length polar codes were considered in the work with successive cancellation list decoding. The results showed that advantages in the range of 0.1 to 0.75 dB were obtained in the relative tolerance of the modified coded signal to the additive white Gaussian noise and fading channels at a bit error rate of 10−4. The simulation results also revealed that the performance improvements were possible with a careful insertion of the pilots. The modified polar code with pilot insertion provided performance improvement and offered the control of the coding rate without any added complexity at both the encoder and the decoder.

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