cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
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 9,338 Documents
 925   926   927   928   929 
Parameter identification and continuous friction modelling of a brushed DC motor Ahmad’Abdan Syakuro; Vani Virdyawan; Sri Raharno; Indrawanto Indrawanto; Tegoeh Tjahjowidodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp699-707

Abstract

Designing high-performance control systems for brushed DC motors is often hindered by the lack of comprehensive dynamic parameters in manufacturer datasheets, particularly for low-cost DC motors. In addition to the parameter identification method, this study also introduces a continuously differentiable friction model incorporating Coulomb and viscous-like behaviors using a hyperbolic tangent function. The electrical and mechanical parameters of an RS-775 motor were identified using standard laboratory tools and the MATLAB system identification toolbox. The proposed model was validated against experimental data under square wave and sinusoidal inputs, achieving a position prediction error of less than 5% and capturing complex dynamic behaviors. The results demonstrate that this accessible identification approach provides a sufficiently accurate dynamic model for educational and industrial robotics applications, offering a superior alternative to trial-and-error tuning.
Smart contracts and a dual blockchain structure for collaborative tourism Zohra Temmar; Asmaa Boughrara
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp892-901

Abstract

This article optimizes a decentralized system for collaborative tourism in Alge ria using blockchain, smart contracts, and proof of reputation (PoR) consensus. The system matches services into organized trips, manages reservations, and automates payments to ensure transparency and autonomy without centralized authority. This work opens the door to exploring dual-blockchain architectures. Building on a previous work, we enhanced node interactions, automated con tract execution, and introduced a dual-blockchain structure to reduce latency while improving scalability and security.
Development of an adaptive student behavior model for e tutoring systems Rania Ali Elkhidir Ali; Hussein Ali Ahmed Ghanim; Maha Osman; Nazar Faried Yousif Mohamed
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp561-571

Abstract

Static e-tutoring systems typically utilize rigid educational sequences that do not adapt to learners' changing knowledge states, engagement levels, and cognitive requirements. This constraint frequently leads to ineffective learning and heightened cognitive strain. This paper presents an integrated adaptive student behavior model (ASBM) that tackles this challenge by functioning at the granularity of interaction steps. It integrates bayesian knowledge tracing (BKT) for probabilistic skill mastery assessment, an LSTM-based deep neural network for behavioral feature extraction, and a deep Q-network for adaptive pedagogical decision-making. The proposed methodology underwent evaluation via a randomized controlled experiment with 120 undergraduate students over a three-week educational duration. Participants were allocated to either an adaptive E-Tutoring system utilizing an integrated ASBM or to a static, non-adaptive system. The quantitative results indicate that the adaptive system attained a superior normalized learning gain (0.72 compared to 0.57, p < 0.01), reduced time to mastery (45 minutes vs 65 minutes), enhanced delayed retention (+18%), elevated completion rates (92% versus 78%), and diminished subjective cognitive burden. The results demonstrate that fine-grained adaptivity, facilitated by a hybrid bayesian knowledge tracing, deep neural network, and reinforcement learning (RL) architecture, markedly improves learning efficiency and learner experience in controlled experimental settings. The research provides empirical evidence that supports the amalgamation of cognitive and behavioral modeling with reinforcement learning for advanced e-tutoring systems.
Trustworthy intelligence, sustainable systems, and resilient digital infrastructure for an AI-driven future Tole Sutikno
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp283-288

Abstract

This editorial introduces Volume 42, Number 2, May 2026 of the Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), which presents a broad collection of peer-reviewed research contributions spanning electrical engineering, electronics, computer science, artificial intelligence, cybersecurity, and information and communication technologies. The issue highlights the growing convergence of intelligent systems, sustainable engineering, trusted digital infrastructures, and data-centric innovation in addressing contemporary global challenges. The published articles demonstrate advances in renewable energy technologies, intelligent control systems, AI-enabled healthcare, cybersecurity, graph-based learning, Internet of Things (IoT) architectures, smart agriculture, educational technologies, and uncertainty-aware data management. Collectively, these contributions emphasize the importance of integrating intelligence, resilience, sustainability, and ethical considerations into next-generation engineering solutions. The issue further reflects emerging research directions focused on trustworthy artificial intelligence, secure cyber-physical systems, resource-efficient computing, and human-centered digital transformation. Through interdisciplinary innovation and practical implementation, the published works contribute to advancing technological systems capable of supporting sustainable development, economic growth, and societal well-being in an increasingly connected world.
Modeling and control of a solar-powered cable-driven robot under power constraints Kendouli Fairouz; Hemama Aboud; Khoudir Abed
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp318-336

Abstract

This paper investigates the control performance of a solar-powered cable driven robot using MATLAB simulations, comparing a conventional proportional–integral–derivative (PID) controller with a hybrid fuzzy PD controller. The study adopts a simplified kinematic model to focus on control behavior under cable-induced nonlinearities and time-varying power availability due to solar energy, while neglecting full dynamic and cable tension effects. Both controllers were systematically tuned to ensure a fair comparison. Performance was evaluated in terms of speed and position tracking under fluctuating solar conditions. Simulation results show that the hybrid fuzzy PD controller provides superior performance, with lower RMS tracking errors, reduced overshoot, and faster settling times compared to the PID controller. These findings highlight the potential of energy-aware intelligent control strategies for improving the reliability and accuracy of solar-powered cable-driven robots operating under variable renewable energy conditions.
Statistical comparison of MLP and LSTM for mobile health sentiment analysis Ghanim Kanugrahan; Win Ce; Vito Hafizh Cahaya Putra; Yudi Ramdhani; Febriyanti Panjaitan
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp818-826

Abstract

This study investigates user sentiment towards the Mobile JKN public health application by applying text classification models based on deep learning. Two approaches were compared: a multi-layer perceptron (MLP) with TF IDF features and long short-term memory (LSTM) with Word2Vec embeddings. The dataset consists of 114,364 Indonesian-language user reviews collected from the Google Play Store. To address class imbalance, we applied random oversampling. Each model was evaluated using 5-fold stratified shuffle split cross-validation. The results showed that MLP models achieved higher accuracy (up to 83.90%), while LSTM models demonstrated better recall and precision on minority classes such as neutral sentiment. However, statistical validation using the Wilcoxon signed-rank test revealed that the performance differences between models were not statistically significant (p > 0.05). These findings suggest that both models are viable for sentiment analysis, with trade-offs depending on the evaluation metric of interest. Future work may explore hybrid architecture and larger datasets for improved performance and statistical confidence.
Enhancing the performance of 3-phase induction motors by developing a 40-degree asymmetrical coil design for the stator coil Zuriman Anthony; Refdinal Nazir; Muhammad Imran Hamid
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp678-687

Abstract

The use of three-phase induction motors in industry is very widespread due to their durability, simplicity, cost, and ease of use. These motors are continuously developed to improve performance. However, the increase in motor performance is directly proportional to the increase in the motor’s cost. Therefore, innovative solutions are needed to make three-phase induction motors more efficient without raising the motor’s price. The study’s goal is to create a motor coil design that won’t cost a lot more but will make 3-phase induction motors more efficient. This study developed a 2-layer coil design with a pair of poles for each layer. The second coil layer is located 40 electrical degrees away from the first layer. In the lab, the motor’s performance was assessed and compared to a conventional motor. This new motor uses identical materials as the conventional model; therefore, it does not incur additional costs. The results showed that this method could increase the rotor speed, output power, efficiency, and load torque of the motor by 0.21%, 16.29%, 15.90%, and 16.05%, respectively.
Renewable energy technologies, storage systems, and energy transition challenges: a comprehensive review Rima Kerroumi
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp289-306

Abstract

This work focuses on the theoretical aspect, as the widespread use of renewable energy in all sectors contributes to enhancing energy security by reducing countries’ dependence on imported fossil fuels. Renewable energy sources are often more diverse, thus reducing the risk of supply disruptions. Therefore, renewable energies (REs), such as solar, wind, and hydroelectric power, can be produced domestically. However, the fundamental challenge lies in how to encourage and incentivize countries to transition to clean energy, as this transition faces several political and economic obstacles, infrastructure problems in most countries, instability, storage issues, initial costs, the need for large areas, and a lack of expertise and technical support, all of which hinder countries from moving forward toward a secure and clean future. Therefore, this study provides an analysis of various types of renewable energy, their operating principles, and their requirements, aiming to clarify and encourage the selection of energy sources based on each country’s financial and geographical capabilities. The study concludes with several findings, including that leading countries in this field have achieved profits, self-sufficiency, expanded their investments, and created numerous jobs – a strategic approach to protecting themselves from the volatility of fossil fuel prices in global markets. Advances in what we call new energies offer a glimpse of a more stable, sustainable, and livable future. This transformation is also essential for economic, environmental, and geopolitical reasons if we are to preserve our planet.
Enhancing NICD and NIMH batteries charging efficiency: a MSCCC strategy using artificial intelligence control Somendra Banerjee; Awdhesh Kumar; Vinod Kumar Giri
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp349-368

Abstract

In the above essay, a smart multi-stage constant current charging (MSCCC) strategy has been proposed with an adaptive neuro-fuzzy inference system (ANFIS) to improve the charging efficiency of nickel metal hydride (NiMH) and nickel cadmium (NiCd) type batteries. The suggested charger uses a boost converter that is power-factor-corrected and variable current regulation according to real-time feedback of voltage and state of charge. MATLAB/Simulink is used to test the system with a 24 V23.5 Ah NiCd pack and 25.2 V49.4 Ah NiMH pack. Comparative simulations on conventional PI, fuzzy, and neural controllers show that ANFIS-MSCCC approach enhances state-of-charge (SoC) retention by about 5-8 percent, voltage overshoot by almost 20 percent and transitions between currents are smoother which results into lower electrical stress. Besides, the suggested approach has a shorter settling time, high charging stability, and safe thermal characteristics. These findings prove that the ANFIS-aided MSCCC provides a powerful and reconfigurable charging system to NiCd and NiMH batteries, which is applicable within the complex battery management systems that are already in use.
An extended relational database model and algebra with interval probability valued attributes and tuples Hoa Nguyen; Thi Nhi Tran
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp426-441

Abstract

This paper introduces an extended relational database model and algebra, named EPRDB, where both the attribute and tuple of a relation may take values associated with interval probabilities for modelling and computing uncertain and imprecise information. To build EPRDB, three key methods are employed: i) probabilistic values and intervals are used for representing uncertain and imprecise valued attributes and tuple membership degrees; ii) the probabilistic interpretations of binary relations on sets and operators on probability intervals are proposed for computing and querying the uncertain degree of relations on value domains of attributes; and iii) the combination strategies of probabilistic intervals and values are defined for manipulating probabilistic relational tuples. Then, the EPRDB data model including fundamental concepts and components such as the schema, probabilistic relation, functional dependency, and key is extended with interval probability valued attributes and tuples such that it is coherent and consistent with the classical relational data model. The EPRDB algebra including the set of basic probabilistic relational algebraic operations is developed corresponding to the EPRDB data model. A set of the properties of the algebraic operations is also formulated and proven. The new proposed EPRDB model and algebra can represent and deal effectively with uncertain and imprecise information in practical applications.

Page 927 of 934 | Total Record : 9338

 925   926   927   928   929 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 43, No 2: August 2026 Vol 43, No 1: July 2026 Vol 42, No 3: June 2026 Vol 42, No 2: May 2026 Vol 42, No 1: April 2026 Vol 41, No 3: March 2026 Vol 41, No 2: February 2026 Vol 41, No 1: January 2026 Vol 40, No 3: December 2025 Vol 40, No 2: November 2025 Vol 40, No 1: October 2025 Vol 39, No 3: September 2025 Vol 39, No 2: August 2025 Vol 39, No 1: July 2025 Vol 38, No 3: June 2025 Vol 38, No 2: May 2025 Vol 38, No 1: April 2025 Vol 37, No 3: March 2025 Vol 37, No 2: February 2025 Vol 37, No 1: January 2025 Vol 36, No 3: December 2024 Vol 36, No 2: November 2024 Vol 36, No 1: October 2024 Vol 35, No 3: September 2024 Vol 35, No 2: August 2024 Vol 35, No 1: July 2024 Vol 34, No 3: June 2024 Vol 34, No 2: May 2024 Vol 34, No 1: April 2024 Vol 33, No 3: March 2024 Vol 33, No 2: February 2024 Vol 33, No 1: January 2024 Vol 32, No 3: December 2023 Vol 32, No 1: October 2023 Vol 31, No 3: September 2023 Vol 31, No 2: August 2023 Vol 31, No 1: July 2023 Vol 30, No 3: June 2023 Vol 30, No 2: May 2023 Vol 30, No 1: April 2023 Vol 29, No 3: March 2023 Vol 29, No 2: February 2023 Vol 29, No 1: January 2023 Vol 28, No 3: December 2022 Vol 28, No 2: November 2022 Vol 28, No 1: October 2022 Vol 27, No 3: September 2022 Vol 27, No 2: August 2022 Vol 27, No 1: July 2022 Vol 26, No 3: June 2022 Vol 26, No 2: May 2022 Vol 26, No 1: April 2022 Vol 25, No 3: March 2022 Vol 25, No 2: February 2022 Vol 25, No 1: January 2022 Vol 24, No 3: December 2021 Vol 24, No 2: November 2021 Vol 24, No 1: October 2021 Vol 23, No 3: September 2021 Vol 23, No 2: August 2021 Vol 23, No 1: July 2021 Vol 22, No 3: June 2021 Vol 22, No 2: May 2021 Vol 22, No 1: April 2021 Vol 21, No 3: March 2021 Vol 21, No 2: February 2021 Vol 21, No 1: January 2021 Vol 20, No 3: December 2020 Vol 20, No 2: November 2020 Vol 20, No 1: October 2020 Vol 19, No 3: September 2020 Vol 19, No 2: August 2020 Vol 19, No 1: July 2020 Vol 18, No 3: June 2020 Vol 18, No 2: May 2020 Vol 18, No 1: April 2020 Vol 17, No 3: March 2020 Vol 17, No 2: February 2020 Vol 17, No 1: January 2020 Vol 16, No 3: December 2019 Vol 16, No 2: November 2019 Vol 16, No 1: October 2019 Vol 15, No 3: September 2019 Vol 15, No 2: August 2019 Vol 15, No 1: July 2019 Vol 14, No 3: June 2019 Vol 14, No 2: May 2019 Vol 14, No 1: April 2019 Vol 13, No 3: March 2019 Vol 13, No 2: February 2019 Vol 13, No 1: January 2019 Vol 12, No 3: December 2018 Vol 12, No 2: November 2018 Vol 12, No 1: October 2018 Vol 11, No 3: September 2018 Vol 11, No 2: August 2018 Vol 11, No 1: July 2018 Vol 10, No 3: June 2018 Vol 10, No 2: May 2018 Vol 10, No 1: April 2018 Vol 9, No 3: March 2018 Vol 9, No 2: February 2018 Vol 9, No 1: January 2018 Vol 8, No 3: December 2017 Vol 8, No 2: November 2017 Vol 8, No 1: October 2017 Vol 7, No 3: September 2017 Vol 7, No 2: August 2017 Vol 7, No 1: July 2017 Vol 6, No 3: June 2017 Vol 6, No 2: May 2017 Vol 6, No 1: April 2017 Vol 5, No 3: March 2017 Vol 5, No 2: February 2017 Vol 5, No 1: January 2017 Vol 4, No 3: December 2016 Vol 4, No 2: November 2016 Vol 4, No 1: October 2016 Vol 3, No 3: September 2016 Vol 3, No 2: August 2016 Vol 3, No 1: July 2016 Vol 2, No 3: June 2016 Vol 2, No 2: May 2016 Vol 2, No 1: April 2016 Vol 1, No 3: March 2016 Vol 1, No 2: February 2016 Vol 1, No 1: January 2016 Vol 16, No 3: December 2015 Vol 16, No 2: November 2015 Vol 16, No 1: October 2015 Vol 15, No 3: September 2015 Vol 15, No 2: August 2015 Vol 15, No 1: July 2015 Vol 14, No 3: June 2015 Vol 14, No 2: May 2015 Vol 14, No 1: April 2015 Vol 13, No 3: March 2015 Vol 13, No 2: February 2015 Vol 13, No 1: January 2015 Vol 12, No 12: December 2014 Vol 12, No 11: November 2014 Vol 12, No 10: October 2014 Vol 12, No 9: September 2014 Vol 12, No 8: August 2014 Vol 12, No 7: July 2014 Vol 12, No 6: June 2014 Vol 12, No 5: May 2014 Vol 12, No 4: April 2014 Vol 12, No 3: March 2014 Vol 12, No 2: February 2014 Vol 12, No 1: January 2014 Vol 11, No 12: December 2013 Vol 11, No 11: November 2013 Vol 11, No 10: October 2013 Vol 11, No 9: September 2013 Vol 11, No 8: August 2013 Vol 11, No 7: July 2013 Vol 11, No 6: June 2013 Vol 11, No 5: May 2013 Vol 11, No 4: April 2013 Vol 11, No 3: March 2013 Vol 11, No 2: February 2013 Vol 11, No 1: January 2013 Vol 10, No 8: December 2012 Vol 10, No 7: November 2012 Vol 10, No 6: October 2012 Vol 10, No 5: September 2012 Vol 10, No 4: August 2012 Vol 10, No 3: July 2012 More Issue