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28,451 Article Results

Development of operation strategy for PV- fuel cell hybrid power system to maximize efficiency and minimize stress

10.11591/ijpeds.v16.i2.pp1219-1229
Katherin Indriawati , Nawangsih Nawangsih , Cindy Reviko Ekatiara
This study explores the development of an energy management strategy (EMS) using a modified external energy management strategy (EEMS) for a hybrid PV-fuel cell power system. The primary aim was to address efficiency challenges and reduce the premature aging of fuel cells, batteries, and supercapacitors (SCs) caused by excessive stress. Incorporating photovoltaic (PV) energy as an additional renewable energy source (RES) has proven to improve the efficiency of the hybrid system. The EEMS-based strategy reduces hydrogen consumption by prioritizing the energy supply from the battery and SC. However, the traditional EEMS approach introduces chattering phenomena that can negatively impact system lifespan. By modifying the EEMS optimization problem, the modified EEMS effectively mitigates chattering, maintaining the battery's state of charge (SOC) and the DC bus voltage within specified ranges, while also reducing stress on the battery and SC. The results demonstrate a significant enhancement in both system performance and efficiency.
Volume: 16
Issue: 2
Page: 1219-1229
Publish at: 2025-06-01

General trends on the impacts of evidence-based university accreditation on quality assurance enhancement

10.11591/ijere.v14i3.31271
Nurali Kairanbayev , David Arulraj David
Traditional accreditation process although has relevant impacts on quality assurance in higher education. Research and practices have shown the value of emerging evidence-based university accreditation. The study therefore aims to understand the impacts of evidence-based university accreditation on quality assurance enhancement. The research relied on literature review and document analysis as suitable methods. The study’s results demonstrated that the final decision for academic accreditation should be based on evidence that all stakeholders took part in quality assurance, namely staff and students. This study also explores the university accreditation practices in the United Kingdom (UK), United Arab Emirates (UAE), and Kazakhstan. The analysis presented here allows us to compare and discuss the practices of three different quality assurance practices. The three cases Quality Assurance Agency for higher education (QAA), Commission for Academic Accreditation (CAA), and Independent Kazakh Agency for Quality Assurance in Education (IQAA) indicate relevant use of evidence-based approaches to university accreditations that support quality assurance enhancement, given the explicit approaches grounded in data and evidence. The future of evidence-based approach will be furthered with the support of technology and sophisticated tools that will support explicit policies and practices. This research is expected to benefit researchers, policy makers and practitioners in quality assurance.
Volume: 14
Issue: 3
Page: 1939-1948
Publish at: 2025-06-01

Development and validation of the principals’ digital leadership instrument using Rasch measurement model

10.11591/ijere.v14i3.32214
Peng Yuanyuan , Bity Salwana Alias , Azlin Norhaini Mansor , Mohd Rashid Ab Hamid
This study addresses the critical need for robust measurement tools in digital leadership (DL) within educational settings—a topic of increasing relevance but limited research. Using the Rasch model measurement analysis, the study aims to develop and validate an instrument tailored to assess principals’ digital leadership (PDL) in China. The questionnaire, based on the five dimensions of the International Society for Technology in Education (ISTE) for education leaders—equity and citizenship advocate (ECA), visionary planner (VP), empowering leader (EL), systems designer (SD), and connected learner (CL)—was adapted to reflect Chinese cultural contexts. Following expert validation, the 33-item instrument was piloted with 188 teachers from higher vocational and technical colleges in Sichuan Province. The Rasch analysis, performed using Winsteps 3.72.3, assessed item fit, unidimensionality, local independence, reliability, separation index, and item-person mapping. The findings revealed that 26 items met all assumptions, demonstrating the strong reliability, validity, and psychometric robustness of the instrument. In conclusion, the validated PDL instrument is a reliable tool for assessing the DL of principals within the Chinese educational context, offering insights into professional development, and sets the stage for future research and policy development in the field of educational leadership.
Volume: 14
Issue: 3
Page: 1577-1589
Publish at: 2025-06-01

Transforming university education: a systematic review of mathematical modeling in learning

10.11591/ijere.v14i3.32523
Ines Miryam Acero Apaza , Hugo Walter Zamata Choque , Anibal Javier Cutipa Laqui
This article is focused on analyzing the impact of mathematical modeling on the learning of university students. The starting point is the complexity of the learning process in technological careers, since cognitive, emotional, social and pedagogical elements are involved in this process, therefore, a multidisciplinary approach is required to allow a holistic understanding of educational phenomena. For this purpose, a systematic review was applied following the PRISMA guidelines and 30 research studies available in Scopus, PubMed, and Web of Science were selected. These studies highlight the importance of mathematical modeling in improving education. The results highlight a higher frequency of use for models with structural equations, models related to adaptive profiles and virtual mathematical models. It is concluded that mathematical modeling represents a valuable resource in higher education, which enriches the learning experience and prepares students to face academic and professional challenges. It is impact is manifested in the improvement of conceptual understanding, the strengthening of problem-solving skills and the close linkage between theory and practice.
Volume: 14
Issue: 3
Page: 2118-2131
Publish at: 2025-06-01

A novel fetal Doppler calibrator: enhancing the precision of fetal heart rate monitoring

10.11591/ijpeds.v16.i2.pp873-881
Ekha Rifki Fauzi , Noor Alis Setiyadi , Kamonthip Doungjan
The congenital heart disease is associated with abnormal brain development in the womb of pregnant women where fetuses with congenital heart disease are at higher risk of miscarriage compared to the general population. Fetal and neonatal risk identification and assessment are essential for comprehensive risk stratification after diagnosis of congenital heart disease. This study aims to improve the accuracy of Doppler fetal measurements in the diagnosis of congenital heart disease risk with calibrators. This study used an experiment of a calibrator with four push buttons embedded to increase and decrease the beat per minute (BPM) value by comparing the BPM value of the Doppler fetal. The measurement was carried out by comparing the values of the calibrator and the Doppler fetal with units and tens of BPM. Statistical analysis used the paired sample T-Test. The measurement obtained a significant p-value of <0.05 with 95% CI. Furthermore, this calibrator does not have a difference in accuracy level with a Doppler fetal. This states that the calibrator has the feasibility to calibrate the fetal Doppler in the fetal heart examination service for pregnant women. This study has the prospect of improving the technology with the embedding of the internet of things (IoT).
Volume: 16
Issue: 2
Page: 873-881
Publish at: 2025-06-01

Ensemble learning based fault detection using PMU data in imbalanced data condition

10.11591/ijpeds.v16.i2.pp851-863
Kiruthika Krishnan , Srivani Iyengar
Significant advancements in the electrical grid include enhanced regulation, communication, metering, and customer interaction, driven by information communication technologies (ICTs) and cyber-physical systems (CPS). The adaptation of synchro phasor devices like phasor measurement units (PMUs) enables real-time monitoring and control, aiding in power system security assessment. PMUs record voltage and current phasors with GPS time stamps, transmitting data to phasor data concentrators (PDCs) for decision-making. However, ensuring the stability and security of this method against cybersecurity threats is crucial due to its reliance on Internet Protocol (IP) networks. Dynamic security assessment utilizes PMU data, reported up to 30–60 times per second, to evaluate power system safety. To address security issues, a Python-based fault detection system employing a stack ensemble learning algorithm is developed. This approach consistently outperforms traditional methods, producing satisfactory results with superior AUC-ROC curves, validated through correctness checks and graphical analysis. The dataset includes both natural and man-made security threats, facilitating comprehensive assessment and mitigation strategies. The ensemble learning algorithm performed better than the individual algorithms by obtaining 95% in the AUC-ROC curve.
Volume: 16
Issue: 2
Page: 851-863
Publish at: 2025-06-01

Development and validation of a cooperating teacher mentoring scale for student teachers

10.11591/ijere.v14i3.31565
Leemarc C. Alia , Ehlrich Ray J. Magday , Daisy R. Palompon
Teaching internship is a crucial component of teacher education to prepare student teachers for their future careers in education. This study developed and validated an instrument to measure and evaluate the performance of cooperating teachers in mentoring student teachers. Items capturing the concept of teacher mentoring were developed through literature review, interviews, and focus group discussions. The 110-item 5-point Likert scale was given to 265 randomly selected student teachers from higher education institutions in the Philippines. Validity and reliability of the cooperating teacher mentoring scale (CTMS) were tested using exploratory factor analysis (EFA) and reliability analyses. Moreover, EFA showed three-factor structure of the instrument regarding the CTMS. The study reported the average variance extracted (AVE), composite reliability, and Cronbach alpha coefficients. These findings confirmed that the extracted constructs possess convergent validity and meet the necessary requirements. The item remained in the factor loadings of less than 0.50 (instructional support and professional development: 20 items; supportive teaching and mentorship: 15 items; and effective mentoring and coaching: 15 items). This study has confirmed three-factor structure of the CTMS. Researchers, educators, administrators, and student teachers can use the CTMS to evaluate cooperating teachers’ mentoring skills and provide feedback on areas that need improvement.
Volume: 14
Issue: 3
Page: 2381-2388
Publish at: 2025-06-01

Adaptive control scheme of variable speed wind turbines for frequency support

10.11591/ijpeds.v16.i2.pp1356-1367
Leonardo Javier Ontiveros , Antonio Ernesto Sarasua , Cindy Madrid Chirinos
Wind generation has experienced significant growth in power systems, due to the high availability of the primary resource and the maturity of its technology, which allows a fast control of active and reactive power. However, its main disadvantage is the lack of controllability over the primary resource. This leads to unwanted frequency oscillations that affect the power system security as wind penetration increases. This is due to the inertia of wind turbines is decoupled from the inertia of synchronous machines connected to the power system. Based on the aforementioned information, this paper analyses the state of the art of control strategies that allow wind turbines to participate in the frequency control of the power system. The main contribution of this work is the novel control strategy proposed, which implements a virtual synchronous machine controlled by an adaptive control system to enhance the transient response of the wind turbine. This scheme allows efficient management of the turbine's rotating reserve without the need to reduce its output power or use expensive energy storage systems. This solution is suitable for power systems with high wind penetration (above 20%). The validity of this proposal is demonstrated through dynamic simulations in a test system.
Volume: 16
Issue: 2
Page: 1356-1367
Publish at: 2025-06-01

Gamification with self-determination theory to foster intercultural communicative competence and intrinsic motivation

10.11591/ijere.v14i3.29858
Su Min , Noor Azean Atan , Akhmad Habibi
In globalization, possessing intercultural communicative competence (ICC) is essential for individuals’ success. However, students face motivational barriers in online intercultural learning. Thus, this study aims to explore the effectiveness of integrating gamification with self-determination theory (SDT) to enhance the intrinsic motivation, ultimately aiding in the development of intercultural communication competence among Chinese vocational college students enrolled in online English intercultural learning. Employing a mixed-methods approach involving pre-post questionnaires and interviews, the study engaged 38 vocational college students from the automobile and rail transit faculty in a four-week online English intercultural learning module enriched with gamified elements such as points, badges, leaderboards, levels, and quests. The findings indicate that gamified learning effectively fulfills students’ needs for competence and autonomy, partially addressing their needs for relatedness and consequently fostering an upsurge in intrinsic motivation. Additionally, improvements were observed in knowledge, attitude, and skill, with marginal changes noted in awareness. It is concluded that gamified learning approaches based on SDT can positively contribute to the development of intrinsic motivation and intercultural communication competence. These findings hold practical implications for educational institutions and researchers to cultivate intrinsic motivation and ICC through online gamified learning.
Volume: 14
Issue: 3
Page: 1985-1994
Publish at: 2025-06-01

Optimal gating angles for a three-phase 60 Hz voltage source multi-level inverter based on intelligent algorithms

10.11591/ijpeds.v16.i2.pp961-973
Taha Ahmed Hussein , Dahaman Ishak , Jawad Hasan Alkhateeb , Mohamed Salem
The three-phase multi-level inverter is considered one of the main power sources in industrial applications as well as in renewable energy applications. Therefore, researchers are interested in improving the efficiency of the inverter by reducing the total harmonic distortion (THD) value to its lowest limits. Also, one of the factors for improving the efficiency of the inverter is reducing the number of switches used, as it contributes to reducing the resulting losses. This research resorts to using many optimal algorithms to find the optimal values for the inverter gating angles that ensure reducing the THD value, as well as using a suitable topology with a least number of switches. The research used five algorithms known for their accuracy and efficiency, genetic algorithm (GA), gray wolf optimization (GWO), particle swarm optimization (PSO), slime mould algorithm (SMA), and whale optimization algorithm (WOA) separately. Then, extracting the distinctive characteristics of these algorithms in a hybrid curve and using it in driving the three-phase multi-level inverter (MLI) with 31 levels. The research displays the voltages and currents of the inverter as well as the frequency analysis for three-phase inductive load resulting from simulating the inverter using MATLAB software.
Volume: 16
Issue: 2
Page: 961-973
Publish at: 2025-06-01

Artificial neural network-based predictive control for three-phase inverter systems with RLC filters

10.11591/ijpeds.v16.i2.pp949-960
Iftissen Nabil , Ali Dali , Samir Abdelmalek
Model predictive control (MPC) is becoming more and more popular in power electronics applications, yet its practical implementation faces challenges due to computational complexity and resource demands. To address these issues, a novel MPC control approach using an artificial neural network (ANN-MPC) is put forth in this research. Using a real-time circuit modeling environment, a power converter with a virtual MPC controller that can regulate both linear and nonlinear loads is first created and run. The input-output data gathered from the virtual MPC is then used to train an artificial neural network (ANN) offline, enabling a simplified mathematical representation that significantly reduces computational complexity. Moreover, the ANN-MPC controller’s adaptability to input variations enhances robustness against system uncertainties. We offer a thorough explanation of the ANN-MPC's fundamental idea, ANN architecture, offline training approach, and online functioning. The suggested controller is validated by simulation with MATLAB/Simulink tools. Performance evaluation of the novel MPC-ANN controller is performed across various scenarios, including linear and nonlinear loads under various operational conditions, and a comparative analysis with conventional MPC is presented.
Volume: 16
Issue: 2
Page: 949-960
Publish at: 2025-06-01

Employability of Latin honor graduate in a state university in the Philippines

10.11591/ijere.v14i3.32164
Emelyn Rico-Villanueva , Kim Jemar F. Falo , Annabelle Fampo-Ida , Ma. Levi R. Punla , Rose L. Sumanting
This study examines the employability of Latin-honor graduates from Romblon State University (RSU) between 2015 and 2022, addressing the factors that influence their transition into the workforce. The research investigates how academic performance, board examination results, and advanced education impact employment outcomes. Using a mixed-method approach, including surveys and binary logistic regression analysis, the study identifies key predictors of employability. Results indicate that achieving academic honors, passing licensure exams, and pursuing further education significantly enhance graduates’ chances of securing permanent employment and advancing in their careers. These findings highlight the need for aligning RSU’s curriculum with labor market demands and underscore the importance of continuous professional development. The study offers practical recommendations to improve graduate employability and informs policy initiatives aimed at supporting career progression for Latin-honor graduates.
Volume: 14
Issue: 3
Page: 1882-1903
Publish at: 2025-06-01

Managing cooperative learning and digital competences in secondary education: a systematic review

10.11591/ijere.v14i3.30449
Virginia A. Samane-Cutipa , Juan Carlos Callacondo Velarde , Fabian Hugo Rucano Paucar , Fabiola Talavera-Mendoza
The COVID-19 pandemic led most schools to opt for distance education, resulting in challenges in the educational field. However, the increased use of digital technology prompted studies on strategies to help reduce the digital divide concerning two key 21st-century skills: cooperation and digital competencies. This article aims to analyze the study of cooperative learning in relation to the achievement of digital competencies in secondary education. It was developed through a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, retrieving scientific information from the Web of Science (WoS) and ERIC databases, published from 2018 to 2024. The results and findings emphasize the existence of strategies aimed at improving teaching and learning, academic performance, and students’ communication and social skills through task management, the formation of cooperative teams, and conflict resolution with shared leadership. Additionally, it highlights the development of digital competencies such as information retrieval, digital interaction, virtual object creation, digital security, and responsible citizenship. The conclusions focus on using cooperative learning strategies to make the teacher’s role more efficient in interactive spaces.
Volume: 14
Issue: 3
Page: 2088-2098
Publish at: 2025-06-01

In the zone or out of bounds? How sports and physical activity anxiety affects life satisfaction among students

10.11591/ijere.v14i3.33530
Marlon A. Mancera , Eduard S. Sumera , Jr., Ruben L. Tagare , Gilbert E. Lopez , Irish M. Orgeta , Yashier T. Haji Kasan , Harold Deo Cristobal , Armand G. Aton , Gauvin Adlaon
This study aims to explore the relationship between sports and physical anxiety and life satisfaction among college students in a leading Philippine state university. Employing a quantitative research design, specifically descriptive correlation, data were collected from 2,043 respondents using simple random sampling. The research utilized the physical activity and sport anxiety scale and the life satisfaction index to measure the respective constructs, with analyses conducted using Spearman’s rho correlation coefficient to assess relationships between variables. Results indicated a significant relationship between sports and physical anxiety and life satisfaction, revealing that higher levels of anxiety corresponded to lower life satisfaction. These findings highlight the importance of addressing sports and physical anxiety to improve overall well-being. Implications suggest that institutions should implement mental health and wellness initiatives aimed at reducing anxiety and promoting supportive environments in physical education settings. By fostering a culture that prioritizes psychological well-being alongside physical engagement, institutions can enhance students’ life satisfaction and overall quality of life.
Volume: 14
Issue: 3
Page: 1844-1855
Publish at: 2025-06-01

Single stage boost cascaded multilevel inverter for photovoltaic applications

10.11591/ijpeds.v16.i2.pp1012-1023
P. Sriramalakshmi , S. Angalaeswari , M. Sujatha
This article discusses a high-gain five-level SL-SC-based cascaded multilevel qSBI (qSBMLI) for photovoltaic applications. A combination of switched inductor and switched capacitor structure produces a boost at high levels. Two identical SL-SC-based qSBI modules are cascaded and powered with two stiff DC voltage sources of 18 V each. The DC voltage of 18 V obtained from two different DC voltage sources is applied to each module. An 18 V DC voltage is supplied to a single module-A, which produces a DC link voltage (VPN) of about 240 V at the inverter's input side. The modulation index (MI) is selected as 0.68, and the duty ratio is kept at 0.3. The boost factor is obtained as 13.3, and the load voltage of 150 V is achieved across the resistive load. Hence, the voltage gain is 6.9. The proposed topology delivers 337 W of power to the load at an efficiency of 73%. The complete circuit topology and its operations are analyzed in MATLAB/Simulink. The control signals for the power switches are produced using the field programmable gate array (FPGA) SPARTAN 3E Kit. When the proposed circuits are analyzed and compared with the existing classical topologies, the proposed one shows the superior performance.
Volume: 16
Issue: 2
Page: 1012-1023
Publish at: 2025-06-01
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