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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 9,174 Documents
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Automatic essay assessment in e-learning using winnowing algorithm Eka Larasati Amalia; Vivin Ayu Lestari; Vivi Nur Wijayaningrum; Ali Ar Ridla
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp572-582

Abstract

The pandemic has caused almost all educational institutions to use online learning media to support learning activities. E-learning is a technology that is widely used because it can accommodate all learning activities. However, in general, e-learning can only perform automatic assessments for multiple choice answers but not for essay answers, so that manual assessment by the teacher becomes difficult and takes a long time. In this study, the winnowing algorithm was applied to the automatic assessment process on students' essay answers by measuring their similarity to the teacher's answer key. The stages in the automatic assessment using the winnowing algorithm begin with forming a series of k-grams, calculating the hash value, forming a window from the hash value, calculating the fingerprint value, and calculating the Jaccard Coefficient to obtain the percentage of text similarity results. The test results show that the winnowing algorithm can provide good performance when the answers to questions are in the form of short entries with the number of hashes not smaller than the window value. Meanwhile, on questions with long answers, the winnowing algorithm can still work well with an average difference of 5.2% from the results of the assessment carried out by the teacher.
Brain signals analysis for sleep stages detection using virtual instrumentation platform Abdeljalil El Hadiri; Lhoussain Bahatti; Abdelmounime El Magri; Rachid Lajouad
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp761-771

Abstract

This paper discusses the use of the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software tool for analyzing brain waveforms (i.e EEG: electroencephalogram) to study sleep stages such as deep sleep, light sleep and so on. The used EEG signals are generated in order to span all sleeping phases. Indeed, a mandatory step of signal processing has been performed, such as sampling, filtering and features extraction. This analysis is carried out with the LabVIEW program, which is a popular virtual instrumentation platform. The EEG signals used in the analysis were obtained from an open-source database and went through several steps, including noise removal, classification and feature extraction. To extract the feature, different filters are employed and the outputs of all filters are compared, leading to a sleep level detection. The simulation results show clearly the performances of this analysis.
Quadruple band MIMO dielectric resonator antenna for 5G SUB-6 GHz applications Nur Atika Bazadry; Hasliza A. Rahim; Mohd Najib Mohd Yasin; Mohamedfareq Abdulmalek
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1554-1562

Abstract

A quadruple band with L-slotted MIMO square dielectric resonator antenna (SDRA) for Fifth Generation (5G) applications at the sub-6 GHz band which can cover 5G New Radio band N77 (3.3 – 4.2) GHz and N79 (4.4 – 5) GHz. The proposed structure consists of a single SDRA which mounted on a substrate excited by an aperture slot underneath Dielectric Resonators (DR)s. The performance of SDRA is improved by introducing L shaped slots on the central part of DRA. Results show that the MIMO SDRA antenna achieves |S11|< -10 dB and S21<= -15 dB for all resonant frequencies at 3.5 GHz, 4 GHz, 4.6 GHz and 5 GHz, indicating a good performance of the antenna at the desired frequencies. The maximum realized gain is 5.61 dB and 5.01 dB at port 1, 4 GHz and port 2, 4.6 GHz, respectively. The radiation efficiencies are acceptable for all resonant frequencies. Moreover, a low (< 0.1) envelop correlation coefficient, and about 10 dB of diversity gain at both desired frequencies. Thus, the antenna can be used for 5G sub-6 GHz applications. 
Development of a low-cost teleoperated and semi-autonomous robotic arm Megat Satria Zainuddin Yaacob; Jamaludin Jalani; Amirul Syafiq Sadun; Abang Muhammad Zaid Abang Zulkarnain
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1338-1346

Abstract

A safe human-robot physical interaction is required when the robot is used to help humans. This can be achieved by introducing a teleoperated robotic arm in which a human can teach the robot before performing tasks remotely. This paper develops and establishes a three-degree-of-freedom robotic arm and teaching pendant. In particular, a flexible robotic arm is operated in two different modes, namely, the teleoperated mode and the semi-autonomous mode. The teleoperated mode is a manual control using a teaching pendant, where the robot arm replicates various movements of the teaching pendant. On the contrary, the semi-autonomous mode allows the robot to execute a task from one point to another point repetitively after at least one training of the teaching pendant. The Arduino Uno board is employed as a microcontroller, and the integrated development environment ( IDE ) software is used to write and upload the computer code. A series of tests in which the robot performs different tasks is recorded to evaluate the accuracy and consistency of the semi-autonomous and teleoperated modes. The results show that the performance of the proposed low-cost teleoperated robotic arm is reliable and safe to perform various tasks based on the teaching pendant.
Naïve-Bayes family for sentiment analysis during COVID-19 pandemic and classification tweets Murtadha B. Ressan; Rehab F. Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp375-383

Abstract

This paper proposes a system to analyze the sentiments of tweeters. It is to build an accurate model to detect different emotions in a tweet. The analysis takes place through several stages (i.e., pre-processing, feature extraction, and training more than one machine learning (ML)). Naïve Bayes, Multinomial Naïve Bayes and Bernoulli Naïve Bayes were selected as supervised machine learning for sentiment analysis using a dataset of 3,057 tweets with users ranging from fear to happiness, anger, and sadness because this method is suitable for solving a problem of this type. This system was also applied to another dataset of 10,000 Tweets (5,000 positive and 5,000 negatives). This approach, consisting of three Naïve Bayes classification models, was applied to two datasets to analyze the sentiment used in them and classify each category separately. The Multinomial Naïve Bayes model outperformed the other models Where it achieved an accuracy of (91.6%) when applied to the first dataset and accuracy (87.6%) when applied to the second dataset. The researchers aim to continue this research with larger data by using other methods of sentiment analysis to predict users' thoughts about COVID-19 or any other problem and to obtain higher accuracy for the models used.
Analysis of benchmark program results of worst case execution time for multithreaded programs Padma Priya Dharishini Paraman; Prakriya V. Ramana Murthy
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp990-1005

Abstract

Worst case execution time (WCET) estimation by static analyzers is being investigated with keen interest in view of their importance in designing applications for embedded systems that have real- time requirements. Recent work reported on improving precision of estimates of WCET of multithreaded programs, by improving precision of shared instruction cache analysis, shows significant improvement in WCET estimates. An abstraction of a multithreaded program as Hoare’s communicating sequential processes (CSP) specification program is realized to enable higher precision in micro-architectural modelling unit of WCET analyzer of multithreaded programs. A thread is viewed as a composition of CSP. The WCET of a thread may be viewed as dependent on WCET of processes in a thread and in turn WCET of each process is the WCET of the sub-graph of basic block nodes in the process. Corresponding CSP in interacting threads, based on calls to synchronization primitives wait and notify, generate shared cache interferences to the process in a thread whose WCET is being estimated by the analyzer. A detailed study of how partitioning of a thread into processes yields higher reduction in WCET is performed on benchmark programs. Furthermore, which processes in a thread yield higher reduction in WCET is performed.
Information management system for research of Don Mariano Marcos Memorial State University–South La Union Campus Ara Rivina N. Malaya; Emely A. Munar; Floribeth Panay Cuison; Enrico G. Dacanay
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1668-1675

Abstract

This study aimed to develop an information management system for research (IMSR) for the South La Union Campus of Don Mariano Marcos Memorial State University. The descriptive-developmental research design was applied, and the rapid application development model was used in the system development. An interview was conducted and ISO/IEC 25010-based questionnaire was employed. Respondents consisted of 37 faculty members and five (5) research office personnel. The researchers were able to develop the intended IMSR and were able to check its acceptability revealing that the system was very acceptable based on the measurement criteria of the ISO/IEC 25010 as to the following characteristics: functional suitability, reliability, usability, efficiency, maintainability, portability, compatibility, and security. The overall result was found that the IMSR is a deployable functional information management system in enhancing the research operations.
Uncertainty and sensitivity analysis applied on commercial tariff with off-peak tariff rider: a case study Mohammad Nizam Ibrahim; Anuar Mohamad; Zainol Asri Abdul Sani @ Salleh; Mohd Muzafa Jumidali; Azahar Taib
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1176-1184

Abstract

Commercial Tariff with Off-Peak Tariff Rider (C1 OPTR) is one type of time-based electricity tariff. The C1 OPTR charges electricity consumers with different electricity rates instead of a flat rate tariff. This paper investigates the C1 OPTR tariff adopted recently by Universiti Teknologi MARA Cawangan Pulau Pinang (UiTMCPP) from its previous flat rate tariff. The investigation involves applying the uncertainty and sensitivity analysis to the average load factor (ALF) model of the UiTMCPP. The ALF model consists of two major factors, namely kilowatt-hour (kWh) and maximum demand (kW). The analysis aims to identify the most contributing factor between the kWh and kW to the uncertainty of the ALF in a systematic way using Monte Carlo simulation. The factor identified is important for improvement by UiTMCPP to ensure that the suitable target ALF can be easily achieved. Based on Sobol uncertainty and sensitivity analysis technique, 60,000 samples for the respective kWh and kW have been generated and executed to produce the output of the ALF model. The result of the uncertainty analysis shows that the ALF output is uncertain between 0.195 and 0.343. Furthermore, the applied sensitivity analysis discovers that the kW is the most contributing factor to the ALF output uncertainty, with the sensitivity index indicating 0.8853.
An enhanced approach for solving winner determination problem in reverse combinatorial auctions Jawad Abusalama; Sazalinsyah Razali; Yun-Huoy Choo
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp934-945

Abstract

When a disaster occurs, the single agent does not have complete knowledge about the circumstances of the disaster. Therefore, the rescue agents should coordinate with each other to perform their allocated tasks efficiently. However, the task allocation process among rescue agents is a complex problem, which is NP-complete problem, and determining the rescue agents that will perform the tasks efficiently is the main problem, which is called the winner determination problem (WDP). This paper proposed an enhanced approach to improve rescue agents’ tasks allocation processes for WDP in reverse combinatorial auctions. The main objective of the proposed approach is to determine the winning bids that will perform the corresponding tasks with minimum cost. The task allocation problem in this paper was transformed into a two-dimensional array, and then the proposed approach was applied to it. The main contribution of the proposed approach is to shorten the search space size to determine the winners and allocate the corresponding tasks for a combination of agents (i.e., more than two agents). The proposed approach was compared to the genetic algorithm regarding the execution time, and the results showed good performance and effectiveness of the proposed approach.
Secure fragile watermarking based on Huffman encoding and optimal embedding strategy Mourad Zairi; Tarik Boujiha; Abdelhaq Ouelli
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp1132-1139

Abstract

Image watermarking is one of the most popular techniques used to assure information security, integrity, and authenticity. Watermarking algorithms can be categorised, according to the domain of insertion, as either spatial or spectral domain-based watermarking approaches. The resulted watermark can also be classified as either strong designed to withstand malicious attacks or fragile designed to detect every possible alteration. In order to combine the advantages of the two categories of watermarking algorithms, this paper proposes a new fragile hybrid domain-based watermarking scheme to get both robustness and imperceptibility using an optimal embedding strategy according to the entropy values of the host images blocs. To enhance security and safety, the watermark undergoes an encryption using Huffman encoding to produce a scrambled watermark. This scheme is evaluated based on different metrics like the peak signal to noise ratio, the structural index similarity, and the normalized correlation coefficient, satisfactory results are attained. The experimental results show that Huffman encryption and optimal blocs selection offer good features of security and imperceptibility.

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