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31,456 Article Results

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

A modified circulating current suppression control based on MMC grid connected using NLM

10.11591/ijpeds.v16.i2.pp1051-1060
H. A. Hasan , Riyadh Kamil Chillab , Ahmed K. Hannan , Abdelrahman Farghly
High total harmonic distortion (THD) occurs when conventional circulating current suppression and modulation strategies fail to control arm circulating current in a modular multilevel converter (MMC) controlled by a virtual synchronous generator. This paper proposed a joint circulating current suppression technique that improves the proportional resonant controller's control mode and introduces the nearest level approach modulation (NLM) strategy for arm circulating current rectification. The MATLAB/Simulink program is used to conduct the simulations. The results show that: when the grid frequency does not fluctuate, the joint suppression strategy's arm current THD is 2.79%, 0.92% lower than the quasi-proportional resonant controller's (QPRC) THD; under primary frequency modulation, the suggested strategy's THD of the a-phase current is 1.75%, 1.03% lower than the QPRC's THD. Under typical operating conditions and with primary frequency management of the grid-type MMC, the results show that the proposed combined circulating current suppression technique may successfully lower total harmonic distortion (THD), eliminate bridge arm circulating current, and improve power quality.
Volume: 16
Issue: 2
Page: 1051-1060
Publish at: 2025-06-01

Optimal annual solar PV penetration for improved voltage regulation and power loss reduction under uncertainty conditions

10.11591/ijpeds.v16.i2.pp1147-1159
Saleh Ba-swaimi , Renuga Verayiah , Vigna K. Ramachandaramurthy , Saeed Ali Binajjaj , Sanjeevikumar Padmanaban
Given their technological, economic, and environmental advantages, the widespread adoption of renewable distributed generators (RDGs) in distribution systems (DSs) is becoming more prevalent. However, Solar photovoltaic distributed generators (PV-DGs) face the challenge of intermittent behavior, which results in power output fluctuations and increased grid uncertainty. Therefore, addressing these uncertainties is crucial when determining their optimal allocation. The proposed method considers uncertainties related to both load demand and solar irradiation. The model is formulated as a stochastic mixed-integer nonlinear optimization problem, which is solved using the whale optimization algorithm (WOA). The standard IEEE 33-bus system is used to validate the proposed approach, and demand variations are modeled based on the IEEE reliability test system (IEEE-RTS). The objective is to simultaneously minimize total expected voltage deviation, real power loss, and reactive power loss while increasing solar PV penetration. The technique for order of preference by similarity to the ideal solution (TOPSIS) is applied to select the best solution. Simulated results indicate significant improvements: a 19.39% reduction in voltage deviation, an 18.42% decrease in total real power loss, and an 18.53% reduction in reactive power loss compared to the base case. Additionally, the model accommodates a total of 3.206625 MW of solar PV power in the DS.
Volume: 16
Issue: 2
Page: 1147-1159
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

A novel adaptive control scheme for dynamic voltage restorer

10.11591/ijpeds.v16.i2.pp1083-1093
Tummala Kranti Kiran , Balakrishnan Rajagopal , Yerramilli Butchi Raju
This study introduces a novel approach to improve the performance of the dynamic voltage restorer (DVR) using a control structure based on the inverse hyperbolic sine function-based least mean square (IHSF-LMS). The proposed control structure efficiently extracts the fundamental source voltage component with rapid convergence. The primary objective of this control scheme is to enhance compensation capability and maintain load voltage stability. Key features include superior steady-state performance and heightened robustness with reduced computational complexity. This approach achieves a reduction in peak overshoot and settling time compared to the traditional LMS method. The validation of system performance is conducted through MATLAB/Simulink simulations, demonstrating compliance with the IEEE-519-2014 standards for harmonic spectra.
Volume: 16
Issue: 2
Page: 1083-1093
Publish at: 2025-06-01

Direct torque control technique for BLDC motor drive in electric vehicle applications

10.11591/ijpeds.v16.i2.pp817-826
Sachin Chavhan , Mahesh Kumbhar
In the field of electric vehicles (EV), the hunt for the appropriate choice of motor and its control technique would be a never-ending process. The brushless DC (BLDC) motors are deployed in electric vehicles on account of higher efficiency, long life, compact size, and higher torque capacity in comparison to other types of motors. The recent advancements in power electronics have assisted in the deployment of BLDC motors in electric vehicles. These applications demand a control mechanism for the motoring mode as well as the regenerative braking mode. During the motoring mode, the power delivered to the motor is controlled, and during the regenerative braking mode, the charging of the battery takes place. Speed control strategy during motoring mode is essential to guarantee the required performance. This paper presents a direct torque control (DTC) technique for BLDC motor control for electric vehicles. The control technique and drive setup are developed to cater to the motoring mode as well as regenerative braking operation as desired for electric vehicles. MATLAB simulation and results are discussed for both modes of operation. Also, the dynamic response of the system is analyzed, which shows an average 1.1 ms response time for a 100 RPM change in speed during speeding up and 0.76 ms response time while speeding down.
Volume: 16
Issue: 2
Page: 817-826
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

Simulation and analysis of wind energy potential for turbine systems in Pekanbaru-Indonesia based on MATLAB Simulink

10.11591/ijpeds.v16.i2.pp1341-1347
Nicholas Pranata , Fahmy Rinanda Saputri
The widespread use of electricity today, which is primarily generated from fossil fuels, results in significant environmental consequences due to excessive consumption. Renewable energy has been proposed as a solution to mitigate this issue. In Indonesia, particularly in Pekanbaru City, the demand for electricity currently exceeds the supply. However, this region has substantial potential for renewable energy sources. This study presents the modeling and analysis of wind energy, specifically wind turbine systems, using MATLAB Simulink. The methodology involves identifying existing problems, collecting technical data relevant to Pekanbaru and turbine components, and designing the turbine system within MATLAB Simulink. The results of this system indicate a mechanical power output of 1,191 watts, along with a calculated torque of 48.63 Nm. These findings suggest that the system is suitable for small-scale electricity needs. Further research and considerations are necessary to optimize the design and application of turbine systems for sustainable energy production. By improving the efficiency and scalability of wind energy systems, Indonesia can better address its energy deficit while reducing the environmental impacts associated with fossil fuel consumption.
Volume: 16
Issue: 2
Page: 1341-1347
Publish at: 2025-06-01

Electricity generation and multi-purpose applications from biogas and biomethane

10.11591/ijpeds.v16.i2.pp1325-1340
Moses Jeremiah Barasa Kabeyi , Joseph Akpan , Oludolapo Akanni Olanrewaju
Biogas produced from biomass is a renewable energy resource with high value potential to support sustainable development. This study presents abridged advances and pathways from biogas and biomethane to electricity with opportunities and challenges in generation, conversion, and storage needed for use in many areas like transportation, power generation and storage, building, and industrial heat production sectors. A high knock resistance, making it suitable for use in thermal systems with high compression rate, characterizes biogas combustion. Various prime movers using biogas as fuel can be used for electricity generation, including direct conversion through fuel cells, which is a significant pathway to sustainable energy storage. Biogas to electricity conversion by a generator set is much more practical today. Turbines, micro turbines, Stirling engines, diesel engines, and petrol engines are only some of the viable possibilities for converting biogas to electricity. Biomethane can be used as a substitute for natural gas in all its applications with little or no modifications to the fuel infrastructure. Finally, this study discusses biogas and biomethane’s limits and contribution to the Sustainable Development Goals 2, 6, 7, 8, 9, 11, 13, 14, and 17.
Volume: 16
Issue: 2
Page: 1325-1340
Publish at: 2025-06-01

Advanced multi-source converters for DC microgrids: integrating photovoltaic, wind, and hybrid storage systems

10.11591/ijpeds.v16.i2.pp1261-1273
Suganthi Neelagiri , Pasumarthi Usha
This paper presents a new configuration for integrating multi-source and hybrid energy storage (HES) systems tailored for a direct current (DC) microgrid. Unlike conventional multi-input converters, the proposed design features a hybrid energy storage system combining ultracapacitors and batteries. The proposed system is intended to effectively manage power variations from wind, photovoltaic (PV) sources, and abrupt load changes. The inclusion of ultracapacitors addresses high-frequency fluctuations, thereby extending battery life and reducing the overall size of the storage unit. The control framework is designed to maintain power balance within the system, ensuring that renewable energy sources operate at their maximum power points and that energy storage is efficiently charged and discharged based on power availability. The main advantages of this configuration include: i) a reduced number of switches, ii) built-in voltage boosting and regulation for the ultracapacitor, and power-sharing between the battery and ultracapacitor, and iii) a streamlined control system with fewer components. The paper details the investigation, modeling, and design of the planned system, supported by MATLAB simulation results.
Volume: 16
Issue: 2
Page: 1261-1273
Publish at: 2025-06-01

Need analysis: development of a teaching module for enhancing higher-order thinking skills of primary school students

10.11591/ijere.v14i3.30335
Hamidah Mat , Toto Nusantara , Adi Atmoko , Yusuf Hanafi , Siti Salina Mustakim
This research identified a pressing need to create specialized teaching modules for electrical topics within the science curriculum that target students’ higher-order thinking skills (HOTS). Despite the recognized significance of HOTS in improving students’ educational achievements, science educators encounter obstacles when attempting to effectively teach these skills. To tackle this challenge, the study utilized a qualitative research methodology, conducting semi-structured interviews with six science teachers from diverse Malaysian schools. The primary objective was to pinpoint the necessity for developing instructional modules that enhance students’ HOTS in primary school science subjects. This study revealed four key themes arising from the needs assessment: the importance of HOTS knowledge, obstacles in teaching HOTS, effective teaching strategies, and the actual teaching of HOTS. This study underscores the critical need for enhanced professional development opportunities for teachers to effectively impart HOTS and stresses the importance of providing suitable teaching resources. By developing these tailored modules, students’ critical thinking and problem-solving skills can be nurtured, paving the way for their academic and professional success. Consequently, the study’s recommendations offer valuable insights for policymakers, educators, and researchers seeking to create impactful teaching modules that cater to students’ HOTS in primary school science subjects.
Volume: 14
Issue: 3
Page: 1643-1650
Publish at: 2025-06-01

Hybrid MPPT technique using fuzzy logic and P&O of solar power system

10.11591/ijpeds.v16.i2.pp1061-1069
Karima Et-Torabi , Souhail Barakat , Badr N’hili , Abdelouahed Mesbahi , Ayoub Nouaiti
This paper introduces an enhanced perturb and observe (P&O) technique with a variable step size utilizing fuzzy logic to address the limitations of the traditional P&O technique, particularly under rapidly fluctuating solar radiation conditions. The performance of the suggested variable step size FLC-P&O maximum power point tracking (MPPT) and the constant step size P&O techniques is simulated and evaluated under various operating scenarios using MATLAB/Simulink software. The suggested technique was successfully validated using a boost converter connected to a Canadian Solar CS6P-240P photovoltaic (PV) model. The results demonstrate that the FLC P&O technique improves response accuracy and reduces steady-state terminal voltage fluctuations. Moreover, the findings show that the suggested technique provides a faster response and higher MPPT efficiency compared to the traditional P&O technique, particularly during sudden variations in solar irradiance.
Volume: 16
Issue: 2
Page: 1061-1069
Publish at: 2025-06-01

A novel temperature parametric method for rapid maximum power point detection in photovoltaic modules

10.11591/ijpeds.v16.i2.pp1284-1297
Soufyane Ait El Ouahab , Firdaous Bakkali , Abdellah Amghar , Rachid Zriouile , Hassan Sahsah , Meriem Boudouane
Photovoltaic systems (PVS) exhibit variability in their maximum power point (MPP) output due to variations in irradiance and cell temperature. This can lead to reduced efficiency, as maximum power point tracking (MPPT) algorithms often have slow response times and limited ability to adapt to rapidly changing environmental conditions. New algorithms are therefore needed to capture more energy and improve the efficiency of these systems. In this context, this article presents a new method for temperature parametric (TP) and its implementation using a digital PI controller, a buck converter, and MATLAB-Simulink. This innovative approach relies on detecting the MPP by continuously measuring the cell temperature of the PV panel (𝑇𝑐𝑒𝑙𝑙) and solar irradiance (S). A 3D linear regression model connects these two parameters with the maximum current (𝐼𝑚𝑝𝑝), enabling real-time monitoring of the MPP. We have applied this new method on two different types of PV (POLY-40W and BPSX330J) under a range of environmental conditions, including stable and dynamic scenarios. The results of the simulation demonstrate the superiority of our approach compared to the hill climbing (HC) for perturbation steps of HC (1%) and HC (2%). Our method achieves faster convergence time 0.009 s and high MPPT efficiency at 98.18%, fewer steady-state oscillations, and better detection.
Volume: 16
Issue: 2
Page: 1284-1297
Publish at: 2025-06-01

Parametric analysis on the effect of V-type rotor magnet geometry on the dynamic performance of PMSMs

10.11591/ijpeds.v16.i2.pp769-779
Ahmed Jadaan Ali , Ahmed Hashim Ahmed , Ahmed Saad Yahya , Basil Mohammed Saied
The research examines how different dimensions of V-type permanent magnet synchronous motor (PMSM) magnets influence the magnetic flux between the rotor and the stator system because matching these dimensions optimizes the magnetic flux for better torque production. As long as the magnet size stays within the right dimensions, it builds greater flux density, which leads to better torque output and better efficiency. Research confirms that flow barriers strengthen engine capabilities. The research applies parametric optimization to find the perfect magnet shapes while showing how they boost electric vehicle motors to meet their requirements. Our tests with finite element method (FEM) show how changing magnet dimensions affects performance. Researchers adjust magnetic measurements frequently until the optimal setup of 50 mm thick by 4.5 mm wide emerges. Their action boosts flux density, which improves motor torque and energy capacity. At these optimal dimensions, the engine achieved 95% efficiency with precise flow barrier adjustments that helped increase torque output while reducing unstable electricity output.
Volume: 16
Issue: 2
Page: 769-779
Publish at: 2025-06-01

Optimization of renewable energy-based electrical systems on tourist ships in Labuan Bajo

10.11591/ijpeds.v16.i2.pp1306-1313
I Made Aditya Nugraha , I Gusti Made Ngurah Desnanjaya
The use of fossil fuels on tourist boats in Labuan Bajo poses challenges in the form of high operational costs and significant environmental impacts. This study aims to optimize the renewable energy-based electrical system by utilizing a hybrid photovoltaic and generator system on tourist boats. The methods used include simulation and technical, economic, and socio-cultural analysis to evaluate the feasibility and efficiency of the system. The results of the study show that technically, the hybrid photovoltaic (PV)-generator system is able to improve energy efficiency and reliability of electricity supply, especially in dealing with fluctuations in power needs. From an economic aspect, this system has been proven to reduce fossil fuel consumption by up to 40%, which has an impact on long-term operational cost savings, even though the initial investment is quite high. Socio-culturally, the implementation of this system supports sustainability values and provides a positive image for the tourism industry in Labuan Bajo as an environmentally friendly destination. The use of a hybrid PV-generator system is an innovative and sustainable solution for tourist boats in Labuan Bajo, which not only improves technical efficiency and economic benefits but also supports environmental conservation and sustainability-based tourism.
Volume: 16
Issue: 2
Page: 1306-1313
Publish at: 2025-06-01
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