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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 65 Documents
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Search results for , issue "Vol 31, No 2: August 2023" : 65 Documents clear
Unorthodox technique in sensing with the metamaterial-based resonator sensor at millimetre frequencies Suhail Asghar Qureshi; Zuhairiah Zainal Abidin; Huda A. Majid; Adel Y. I. Ashyap; Bashar A. F. Esmail
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp785-793

Abstract

A metamaterial-based resonator is presented in this paper for liquid-sensing applications. The designed sensor operates at millimetre-wave (mm-w) frequencies, and it can characterise the samples that may possess identical characteristics. This paper relies on the extracted permittivity of the structure in the characterisation of the samples, mainly liquids. The sensor requires a very small amount of samples for sensing and it is used in distinguishing oil, ethanol, methanol, glycerol and water. A shift in the resonance frequency of about 200 MHz per unit increase in the epsilon value of samples was achieved. The oil sample showed the lowest value in the extracted permittivity value, while water showed the nearest to zero extracted permittivity. This relationship of variation in extracted permittivity parameter with the change in the sample’s epsilon value is found to be linear and reliable regardless of the change in thickness of the sample.
Human activity monitoring system with commodity WiFi infrastructure using channel state information Hicham Boudlal; Mohammed Serrhini; Ahmed Tahiri
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp763-776

Abstract

Human activity detection is a research field that has been growing rapidly for the last few decades. It opens a wide field of applications in the fields of healthcare, smart homes, robotics, human-media interaction, surveillance and security. WiFi-based solutions have received a lot of attention lately. These are based on the idea that nearby wireless signals are affected by human bodies. Reflections are produced by the presence of static objects like walls and furniture, while additional propagation paths are produced by the presence of dynamic objects such humans. This paper proposes using WiFi for a low-cost, device-free human activity monitoring system, as it is readily available in the office and home these days. It is also ubiquitous in nature as it collects information about the environment while providing Internet. The idea behind this approach is to acquire and model changes in multipath WiFi radio waves due to human movement. Experimental validation in practical situations with varying occupants, different environmental conditions, and interference from WiFi devices is used to demonstrate robustness and scalability.
Assessment of control and monitoring system design security using the attack security tree analysis method Mustafa Qahtan Alsudani; Israa Fayez Yousif; Ahmed Nooruldeen Alsafi; Hassan Falah Fakhruldeen
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp820-827

Abstract

Because of the efficiency of the system and the fact that it successfully completed the tasks that were given to it under specific conditions, we are compelled to look for a way to measure these requirements according to the conditions and guidelines that were established by the people who make use of the system. Conduct an investigation into the many techniques that are available for use in analysis in light of the following conditions: i) sufficient time to detect the mistake, ii) time to maintenance, iii) the total number of constituents involved in the analytical process, and iv) an explanation of the level of complexity provided to the user. In this article, we will provide a concise overview of a number of different approaches, along with our recommendations for the most effective ones based on the issues raised earlier.
Associating deep learning and the news headlines sentiment for Bursa stock price prediction Zuleaizal Sidek; Sharifah Sakinah Syed Ahmad; Noor Hasimah Ibrahim Teo
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp1041-1049

Abstract

Accurate stock price prediction is appealing to academics, economists, and financial analysts for its potential to increase profits. Although remarkable progress has been made in stock prediction accuracy, studies to explore the relationship between public sentiments and the prediction of stock price movement based on online news portals in Malaysia context are limited. Therefore, this study aims to determine whether news sentiments influence the movement of the Bursa stock price. The stock prediction model was implemented using long short-term memory (LSTM), with stock data from Bursa Malaysia between January 2017 and April 2022, and the root mean squared error (RMSE) value was calculated. In addition, LSTM prediction model was compared to the decision tree algorithm, and LSTM performed significantly better than the decision tree, particularly when using the New York stock exchange (NYSE) dataset. Furthermore, sentiment analysis was carried out using a Malaysian online news portal's business and financial news. The findings showed that i) news has a significant impact on Malaysian stock market price movement; ii) the RMSE of the LSTM model was improved by adding a parameter (news polarity values); and iii) the RMSE value generated is less than one for every company stock and is influenced by stock price and price change magnitude.
Multilabel sentiment analysis for classification of the spread of COVID-19 in Indonesia using machine learning Fathoni Fathoni; Erwin Erwin; Abdiansah Abdiansah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp968-978

Abstract

This study aims to use datasets on Twitter to find out public opinion on the spread of coronavirus in Indonesia by conducting sentiment analysis. The resulting sentiment analysis will benefit the community by helping the Indonesian government take various strategic measures to prevent and counter the spread of the COVID-19. This research was conducted through the data collection stage, namely crawling data tweet words in Bahasa Indonesia containing the meaning of the spread of COVID-19, the next stage of the process of creating labels manually. Next, the pre-process stage by removing the character, symbols and special features from Twitter. The last stage, classification using learning machine with 3(three) methods namely K-nearest neighbor (K-NN), Naïve Bayes and decision tree. The study analyzed sentiment of 1,119 valid Tweets data and found that K-NN algorithm had the highest accuracy value compared to Naïve Bayes and decision tree algorithms, which was 95.10%. However, the Twitter data analyzed obtained 78.19% of Tweets that fall into the negative category and only 13.85% of public opinion that is positive. This indicates that most of the Tweets of Indonesians in twitter do not mean the spread of COVID-19 disease somewhere.
Speed control of switched reluctance motors based on fuzzy logic controller and MATLAB/Simulink Hayder Salim Hameed; Qasim Al Azze; Mohammed Saadi Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp647-657

Abstract

Switched reluctance motors (SRM) becomes increasingly popular due to its simple structure and dependability. It seems to have a two-pole configuration. A stator had also centralized coils along each pole, whereas a rotor has an iron core only. As a result, the switched reluctance motor is anticipated to be a low cost, incredibly robust variable-speed machine. Because the switched reluctance motor is only made up of laminated coils, its performance is heavily reliant on the magnetic properties of the core material. Vibration, torque ripple, and low torque for each unit volume are some of their drawbacks. Typically, a standard proportional-integral-derivative (PID) controller is designed to regulate the Switched Reluctance Motor's speed. Furthermore, the PID controller could also regulate and control SRM when the load changes abruptly. A fuzzy logic controller (FLC) is utilized within this article to regulate the speed of the SRM drive. The MATLAB/Simulink platform is used to analyze the behavior of SRM with FLC. To demonstrate FLC's superiority, its results have been compared to that of a typical PID controller.
Design and development of biogas electrical power generation with an adaptive control mechanism for rural electrification Vineeth Kumar Pothera Kariyat; Jijesh Jisha Janardhanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp658-668

Abstract

The primary goal of this research is to implement a model of biogas power generation unit used for rural electrification. A biogas reactor, a microturbine, a permanent magnet synchronous generator (PMSG), a rectifier, and a permanent magnet DC motor (PMDC) make up the proposed system. The biomass used to fuel the biogas reactor is typically derived from the surplus agricultural and animal waste found in rural areas. The operation of the biogas power system, design, and detailed mathematical modeling of each segment is described in this paper. In addition to that, an adaptive control mechanism is added to improve the system stability. The MATLAB/Simulink environment is used to develop the overall biogas fueled power system and thus obtained various parameters. The observation in the development has shown an improvement in biogas power generation unit’s suitability for standalone applications such as water pumping in rural area.
New approaches to the development of information security systems for unmanned vehicles Bayana B. Ermukhambetova; Grigoriy A. Mun; Sherniyaz B. Kabdushev; Aruzhan B. Kadyrzhan; Kaisarali K. Kadyrzhan; Yelizaveta S. Vitulyova; Ibragim E. Suleimenov
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp810-819

Abstract

A new approach to ensuring information security is proposed for using in the zone of direct radio visibility. The approach is based on a direct analogy between radio and optical radiation. In the latter case, information protection can be ensured by identifying the point or direction from which the signal comes; all other light sources are cut off by the observer. It is shown that a similar method of information protection can also be implemented in the radio range, which corresponds to modern trends in the development of radio holography. The simplest scheme for detecting the direction to a transmitter, identified as “friend” is presented. Its operability is demonstrated by means of simulation modeling. Ways for the further development of this approach are determined, based on the fact that modern technologies make it possible to implement distributed reception of a radio signal (to use a relatively large number of receivers), which makes it possible to implement direct analogues of such optical elements as a lens, holograms.
A parallel algorithm to find the exact solution of the travelling salesman problem Mohammed W. Al-Neama; Iman Abdulwahab Ahmed; Salwa M. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp917-924

Abstract

The traveling salesman problem (TSP) is a problem in computer science that has been extensively studied and has a wide variety of real-world applications. It is considered an NP-hard issue since the only way to get a precise solution to it is to wait an exponentially long amount of time unless P=NP. Both accurate and heuristic algorithms exist to tackle this problem. The Branch-and-Bound algorithm (BnB) is often regarded as the most significant precise approach, despite the fact that it traverses, in the worst scenario, all potential tours in order to calculate the tour efficiently. This study proposed an efficient parallel algorithm to solve TSP by using a cluster multicore system. An exact algorithm will be used to get the optimal solution, and to expedite the search for the best path, we have employed a multi-threaded approach that capitalizes on the processing power of multiple CPU cores to concurrently process sub-problems.
Validation of the toolkit for fake news awareness in social media Mahmood A. Al-Shareeda; Murtaja Ali Saare; Selvakumar Manickam; Shankar Karuppayah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp1171-1181

Abstract

Fake news has gained attention in recent years, particularly among social media users. The quick spread of fake news has been made possible by the increased usage of social media as a platform to get the most recent news and information. As a consequence, it is getting harder to distinguish between real news and fake news. This essay will outline a study that evaluated the usefulness of a toolset for identifying false news. The first hypothesis is that an increase in media literacy will result in a rise in awareness of fake news. The second theory is that fake news toolkits significantly increase students’ and working adults’ awareness of false news. On the staff of a manufacturing company and an institution, a survey was undertaken. The organization’s employees were given approximately 150 questionnaires, and 110 responses were received. The project includes the creation of a web application-a false news awareness toolkit-that will raise user awareness of fake news in terms of knowledge, behaviour, and attitude among students and workers.

Page 5 of 7 | Total Record : 65

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