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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 66 Documents
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Search results for , issue "Vol 23, No 1: July 2021" : 66 Documents clear
Sentiment analysis on twitter tweets about COVID-19 vaccines usi ng NLP and supervised KNN classification algorithm F. M. Javed Mehedi Shamrat; Sovon Chakraborty; M. M. Imran; Jannatun Naeem Muna; Md. Masum Billah; Protiva Das; Md. Obaidur Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp463-470

Abstract

The pandemic has taken the world by storm. Almost the entire world went into lockdown to save the people from the deadly COVID-19. Scientists around the around have come up with several vaccines for the virus. Amongthem, Pfizer, Moderna, and AstraZeneca have become quite famous. General people however have been expressing their feelings about the safety and effectiveness of the vaccines on social media like Twitter. In this study, such tweets are being extracted from Twitter using a Twitter API authentication token. The raw tweets are stored and processed using NLP. The processed data is then classified using a supervised KNN classification algorithm. The algorithm classifies the data into three classes, positive, negative, and neutral. These classes refer to the sentiment of the general people whose Tweets are extracted for analysis. From the analysis it is seen that Pfizer shows 47.29%positive, 37.5% negative and 15.21% neutral, Moderna shows 46.16%positive, 40.71% negative, and 13.13% neutral, AstraZeneca shows 40.08%positive, 40.06% negative and 13.86% neutral sentiment.
An improved vigener algorithm based on circular-left-shift key and MSB binary for data security Aso Ahmed Majeed; Banaz Anwer Qader
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp431-437

Abstract

Cryptography is a significant study area at present since it can be vital to protect exceedingly sensitive and secret information from illegal fraud during network transmission. One of the basic cryptographic algorithms is the Vigenere cipher, which is a very easy encryption method to be used as an alternative to Caesar cipher for encrypting the text of the message. In this paper, we enhance the Vigenere algorithm and propose a new method by shifting the key in each message to prevent repeating the messages. Also, it converts the messages into binary form rather than an alphabet. Furthermore, it adds a few bits of random padding to each block of outputs to send a series of bits. The proposed algorithm is named “Circular-Left-Shift Key-based Vigener Algorithm using MSB Binary (CLS-V-MSB)”. Finally, this technique slightly raises the size of the ciphertext, but substantially increases the cipher's protection, achieves the security objectives (authentication, confidentiality, integrity, freshness, and non-repudiation), and avoids Kasiski and Friedman.
Temporal analysis of air pollutants in the most affected monsoon region Omar Kairan; Nur Nasehah Zainudin; Nurul Hasya Mohd Hanafiah; Nur Emylia Arissa Mohd Jafri; Fukayhah Fatiha @Suhami; Mohd Firdaus Mustapha
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp229-236

Abstract

Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known as air quality index (API) used to indicate the overall air quality in the country where the air pollutants include or the new ambient air quality standard are sulphur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3) and particulate matter with size less than 10 (PM10). The concentration levels of the air pollutants were said to be affected by the monsoon changes. Therefore, this study is conducted to examine the existence of temporal variations of each air pollutant then identify the differences of each air pollutants concentration in temporal variations. This study uses secondary data where data that has been retrieved from the Department of Environment (DOE) where it is data of air pollution specifically for Kota Bharu, kelantan records. Hierarchical agglomerative cluster analysis was conducted to group monthly air quality. As a conclusion, the study can conclude that the five air pollutants grouped into several different monthly clusters mostly representing the two main monsoon seasons. Mostly air pollutant varied accordingly towards the monsoon season. During the southwestern monsoon, air pollutant concentration tends to higher compare to the northeastern monsoon with mostly due to meteorological factors.
Optimal integration of wind energy with a shunt-FACTS controller for reductions in electrical power loss I Made Wartana; Ni Putu Agustini; Sasidharan Sreedharan
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp41-53

Abstract

The integration of distributed generators (DGs) with flexible alternating current transmission systems (FACTS) can improve the performance of the grid system. In this study, we determine the location and optimal size of one type of DG, based on wind energy, with a shunt-FACTS control device called a static var compensator (SVC). The voltage profile is increase and the power loss reduced due to an improvement in performance from the maximizing load bus system scenario. Newton-Raphson power flow with a wind turbine generator (WTG) and SVC are formulated as a multi-objective problem called MLB system and minimizing system power loss (Ploss) by satisfying various system constraints, namely the loading limits, generation limits, voltage limits, and the small-signal stability. A variant of the genetic algorithm, called the non-dominated sorting genetic algorithm II (NSGA-II), is used to solve these conflicting multi-objective optimization problems. Modifications to the IEEE 14-bus standard and practical test system integrated to the WTG and SVC in the PSAT software are used as a test system. The simulation results indicate that the optimal allocation of the WTG and SVC, determined using the proposed technique, results in improved system performance, since all the specified constraints are met.
A new parameter in three-term conjugate gradient algorithms for unconstrained optimization Alaa Saad Ahmed; Hisham M. Khudhur; Mohammed S. Najmuldeen
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp338-344

Abstract

In this study, we develop a different parameter of three term conjugate gradient kind, this scheme depends principally on pure conjugacy condition (PCC), Whereas, the conjugacy condition (PCC) is an important condition in unconstrained non-linear optimization in general and in conjugate gradient methods in particular. The proposed method becomes converged, and satisfy conditions descent property by assuming some hypothesis, The numerical results display the effectiveness of the new method for solving test unconstrained non-linear optimization problems compared to other conjugate gradient algorithms such as Fletcher and Revees (FR) algorithm and three term Fletcher and Revees (TTFR) algorithm. and as shown in Table (1) from where in a number of iterations and evaluation of function and in Figures (1), (2) and (3) from where in A comparison of the number of iterations, A comparison of the number of times a function is calculated and A comparison of the time taken to perform the functions.
Vehicle tracker system design based on GSM and GPS interface using arduino as platform Narcisa T. Morallo
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp258-264

Abstract

Global positioning system (GPS) tracker is an innovative technology that is able to track the position of vehicle using global satellite system. In this paper, vehicle tracker system design that is derived from global positioning system and global system for mobile communication (GSM) interface with the use of Arduino Uno board as platform is proposed and presented. Technology in Arduino, GSM, and GPS is studied.GPS module receives the coordinates from the satellite. The GPS coordinates are sent to users in the form of SMS through SIM900A GSM module. By using Google Maps, the exact location of the vehicle can be located. Arduino microcontroller is the gateway to all GPS and GSM hardware and software communication in the system. The design represents that GSM and GPS interface with the use of Arduino Uno board as platform can really make vehicle tracking more efficient and convenient since it can work in any weather conditions and provide real-time location of objects. Automatic display of the coordinate’s geographical location in a map should be integrated in future design.
Efficient hearing aid algorithm using DCT with uniformly re-sampled and recursively modified audiogram values K. Ayyappa Swamy; Zachariah C. Alex
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp237-246

Abstract

People with the hearing problems have different listening preferences and characteristics in hearing loss. So, hearing aids need algorithms that provide amplification based on frequency, so that the hearing-impaired persons can use hearing aids comfortably for a long duration. In this paper, a new algorithm is proposed for hearing aids in order to compensate for sensorineural and conductive hearing loss using discrete cosine transform (DCT). DCT coefficients of the input audio signal are multiplied with uniformly resampled and recursively modified audiogram values to compensate for hearing loss. This algorithm comprised of 4 stages namely precomputation to calculate gain values from audiogram, DCT, gain adjustment, and inverse DCT. In the above stated stages except precomputation, each stage requires only one matrix multiplication, which makes the proposed algorithm computational efficient. Performance of the proposed algorithm is compared with uniform filter banks, non-uniform filter banks, variable filter bank and reconfigurable filter banks. The algorithm is tested using audiograms with four different hearing loss cases. It is proved that the proposed algorithm provides less complexity, minimized delay and better matching with all types of audiograms, further, it also avoids degradation of audio signal due to sampling rate conversions in variable and reconfigurable filter banks.
Busway distribution system-sizing and planning aspects for automotive weld shop Sana Zaheer; Raja Masood Larik
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp600-611

Abstract

Resistance spot welding with its characteristic “dirty electrical load” is adistinctive engineering problem. The wide range of its industrial applications has made the subject an exciting research domain. Owing to the in term it tence of a welding operation, random overlapping of welding pulses, its sensitivity to voltage variation and application-specific quality control requirements, the electrical distribution system for welding loads need to be tied strongly with the process-related requirements. One of the most important applications of resistance welding is an automotive body shop, also called weld shop. This is where various units of a car body are welded together to form a shell that begins to look like a car. This paper focuses on explaining the nature of welding load and process requirements of a weld shop, leading towards the design and development of a Microsoft Excel based tool for optimal sizing of high current busway distribution system for resistance spot welding machines.This tool can be effectively used as a desktop application for efficient design development and comprehension of various design criteria. Besides, numerical based calculations have been provided with sound reasoning, progressively developing the proposed design criteria.
Geolocation based air pollution mobile monitoring system Aya Mazin Talib; Mahdi Nsaif Jasim
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp162-170

Abstract

Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB. The data is classified using data mining algorithms, presenting the result on a map helps governmental organizations, nature guards, and ecologists to analyze data in real time to simplify the decision making process. The proposed system uses J48 pruning tree classifier generated using cross validation of fold (10) with highest accuracy 100%, while IBK ≈99.67, Naïve bays ≈90.89, and SVM ≈81.4. It’s found that the common air quality for Baghdad (study area) is between (“Good”, “Satisfactory”, and “Moderately”) for 1835 records of air samples during (January and February 2021) time period.
Measuring the accuracy of LSTM and BiLSTM models in the application of artificial intelligence by applying chatbot programme Prasnurzaki Anki; Alhadi Bustamam
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp197-205

Abstract

Python programme contains a question and answer system that derived from data sets that have used and implemented the chatbot in this modern era. where the data collected is in the form of corpuses containing extensive metadata-rich fictional conversations derived from extracted film scripts, commonly called cornell movie dialogue corpus. The various models have been used chatbots in python programmes, and LSTM and BiLSTM models were specifically used in this study. Where the form of accuracy will be reported as a result of the implementation of LSTM and BiLSTM models in the chatbot programme. The programme performance will be influenced by the data from the model selection, because the level of accuracy is determined by the target programme being taken. So this is the main factor that determines which model to choose. Based on considerations required for choosing the programme model, in the end the LSTM and the BiLSTM models are chosen and will be applied to the programme. Based on the LSTM and BiLSTM chatbot programmes that have been tested, it can be concluded that the best parameters come from a pair of BiLSTM chatbots using the BiLTSM model with an average accuracy value of 0.995217.

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