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25,002 Article Results

Three-phase hybrid active power filter: an overview

10.11591/ijece.v15i2.pp1361-1371
Le Quang Binh , Chau Minh Thuyen
Hybrid active power filter (HAPF) is considered an effective solution for filtering harmonics and compensating reactive power in power systems. It is a combination of passive power filters and an active power filter to form many different structures depending on the system voltage and load characteristics. This paper aims to introduce an overall picture of the results of research on three-phase HAPF systems, such as: HAPF models, advantages, disadvantages, and scope of application of each model; methods for determining parameters of passive power filters; structure, response time, resonance, power loss and cost of types of output filters; inverter structure and commonly used pulse width modulation methods in HAPF; control strategies and used controllers are also listed and compared; the DC Link voltage stabilization is also summarized and analyzed. Finally, the existing problems and the development trends of HAPF.
Volume: 15
Issue: 2
Page: 1361-1371
Publish at: 2025-04-01

A longitudinal network analysis of research trends and policy implications: southernmost of Thailand case study

10.11591/ijece.v15i2.pp2109-2127
Komgrit Rumdon , Kamonthip Longha , Nawapon Kaewsuwan , Wannisa Matcha
The government funds research projects to address problems, advance knowledge, and support national development. Data repositories are often used to store this research information; however, such information is not optimally used when making the decision. This is particularly important, especially in the areas that require extensive effort and budget allocation to drive development, such as the southernmost provinces of Thailand. This area has been in a violent situation for more than twenty years, leading to poor education, economic challenges, and many more. This study aims to analyze the trends in research topics on these provinces over 30 years (1982–2020) using epistemic network analysis (ENA) on data from the Southern Border Provinces Research Database (SOREDA). Key findings showed a prolonged focus on “education” and “Islamic studies,” reflecting steady government support but raising concerns about its effectiveness. Another important point was that conflict management research arose in response to the surge in violence in 2004 and prolonged existing. The current trending research focused on local–based capital and how it is used to drive society and the economy, such as through tourism. These highlight evolving priorities in addressing the region's challenges and opportunities.
Volume: 15
Issue: 2
Page: 2109-2127
Publish at: 2025-04-01

Object retrieval analysis on plastic bottle waste recycling-based image control using convex hull algorithm and autoregressive integrated moving average prediction method

10.11591/ijece.v15i2.pp2055-2069
marisa Marisa , Azizul Azhar Ramli , Mohd Farhan Md Fudzee , Zubaile Abdullah
In Indonesia, plastic garbage bottles are the most common sort of waste. Given that waste is expected to grow annually, managing plastic waste is a major challenge. The results of the study were achieved by comparing the reference, which was a collection of manually created contour images, with 50 sets of vortex images with different forms and vortex areas as experimental objects. The results indicate that the suggested approach reports a mean error of 2.84%, a correlation coefficient of 0.9965, and a root mean square error of 0.2903 when compared to the manual extraction method. These findings imply that the extract area determined by the procedure outlined in this research is more accurate and nearer to the actual values. The proposed method can therefore be used in place of the traditional process for investigating cooling parameters through manual testing. With measurement values mean absolute percentage error (MAPE)=121,842, mean absolute deviation (MAD)=20,140, and mean squared deviation (MSD)=776,712, the trend analysis of plastic bottles for autoregressive integrated moving average (ARIMA) modeling leads to the conclusion that the waste from plastic bottles will continue to rise annually and that efforts must be made to address this trend with knowledge and waste recycling technology. Plastic that is advantageous to industry and society.
Volume: 15
Issue: 2
Page: 2055-2069
Publish at: 2025-04-01

Model of semiconductor converters for the simulation of an asymmetric loads in an autonomous power supply system

10.11591/ijece.v15i2.pp1332-1347
Saidjon Tavarov , Mihail Senyuk , Murodbek Safaraliev , Sergey Kokin , Alexander Tavlintsev , Andrey Svyatykh
This article is devoted to the development of computer model with semiconductor converters for the simulation of asymmetric loads allowing to solve the voltage symmetry problems under asymmetric loads (active and active-inductive) for isolated electric networks with renewable energy sources (mini hydroelectric power plants). A model of a symmetry device has been developed in the MATLAB/Simulink environment based on a proportional-integral controller and a relay controller - P. The effectiveness of their use depends on the load's nature. The implementation of a voltage converter is presented considering a three-phase inverter with discrete key switching at 120, 150, and 180 degrees with a purely active load. Based on the harmonic analysis of the three-phase voltage at discrete conversion, the value of the first harmonic is determined. Voltage transformations under active-inductive load at 120, 150, and 180 degrees are mathematically described. To determine the harmonic spectrum, an analysis of the fast Fourier transform for the three-phase voltage of a MATLAB/Simulink semiconductor converter was carried out. It is established that the alternating current output voltage is generated on the output side of the inverter of a three-phase voltage source through a three-phase load connected by a star with a harmonic suppression method.
Volume: 15
Issue: 2
Page: 1332-1347
Publish at: 2025-04-01

Key management for bitcoin transactions using cloud based key splitting technique

10.11591/ijece.v15i2.pp1861-1867
Amar Buchade , Nakul Sharma , Varsha Jadhav , Jagannath Nalavade , Suhas Sapate , Rajani Sajjan
Bitcoin wallet contains the information which is required for making transactions. To access this information, user maintains the secret key. Anyone with the secret key can access the records stored in bitcoin wallet. The compromise of the key such as physical theft, side channel attack, sybil attack, DoS attack and weak encryption can cause the access of transactional details and bitcoins stored in the wallet to the attacker. The cloud-based key split up technique is proposed for securing the key in blockchain technology. The key shares are distributed across virtual machines in cloud computing. The approach is compared to the existing key management approaches such as local key storage, keys derived from password and hosted wallet. It is observed that our approach is most suitable among the other key management approaches.
Volume: 15
Issue: 2
Page: 1861-1867
Publish at: 2025-04-01

Exploring new feedback practices paradigm in higher education: students’ perspectives

10.11591/ijere.v14i2.29819
Marlina Ummas Genisa , Haryanti Putri Rizal , Hasri Hasri , Andi Agussalim
Feedback has recently shifted from being received to being an interaction process, raising considerable interest among educators. This study aims to examine whether current feedback practices in higher education have led to active student interaction processes, and how individual and contextual factors are considered in practice based on gender and university perspectives. An online questionnaire was used to collect data from 418 students from three Indonesian universities, Universitas Negeri Makassar (UNM), Universitas Muhammadiyah Palembang (UMP), and Universitas Sulawesi Barat (USB). The data was analyzed descriptively-quantitatively. Results indicate that current feedback practices do not adequately direct students to actively participate in the processing feedback. The feedback received is dominated by general feedback (UNM and USB), while detailed and discussed feedback is generally received by UMP students. Additionally, the expected and effective feedback obtained the same pattern that individuals and groups must interact which is in line with the new paradigm. The results also showed the ideal time for providing feedback is 5-10 days for various types of assignments and 15-20 days for theses. These results provide educators with information on strategies and approaches in feedback practices that are relevant and effective in enhancing student learning based on the new paradigm.
Volume: 14
Issue: 2
Page: 1124-1133
Publish at: 2025-04-01

Logistic regression of online risks on academic stress and performance undergraduates

10.11591/ijere.v14i2.30147
Sigit Permansah , Munawir Yusuf , Subagya Subagya , Muhtar Muhtar , Cicilia Dyah Sulistyaningrum Indrawati , Dede Rusmana
The progression of technology could lead to online risks, such as accidental exposure to harmful content by undergraduates. Investigating how this exposure affects their mental health, particularly academic stress, and in turn, their academic performance, is critically important. This study aims to examine the impact and predictability of online risks on undergraduates’ academic stress and performance, using logistic regression as the main method of analysis. The findings show that online risks have a significant effect on academic stress (p<0.05), but there is no significant impact on academic performance (p>0.05). Students who frequently encounter scam or bullying content are 2.317 and 2.400 times more likely, respectively, to suffer from academic stress compared to those who encounter it less. Additionally, demographic factors, especially gender, are significant (p<0.05) in terms of academic stress and performance. The analysis predicts that females are 4.210 times more likely to experience academic stress than males, while males are 2.768 times (in model 4) and 2.601 times (model 5) more likely to achieve cum laude honors than females. This research provides valuable insights for academic policy makers to improve education quality and offers a basis for further studies in this area.
Volume: 14
Issue: 2
Page: 825-836
Publish at: 2025-04-01

International atmosphere impact on faculty engagement in internationalization: international attitudes mediation

10.11591/ijere.v14i2.30235
Liu Hai Yan , Yang Su Ping
Globalization continues to reshape higher education, driving increased international exchanges and collaboration. This study investigates the impact of the international atmosphere on faculty engagement in internationalization (FEI), with a focus on local applied universities in China. Despite the recognized importance of faculty in facilitating internationalization efforts, limited research exists on their involvement. Utilizing surveys and structural equation modeling, data was collected from faculty members in local applied universities in China. The survey instrument covered demographics, perceptions of the international environment, engagement in international activities, and attitudes towards internationalization results indicate significant positive correlations between the international atmosphere, faculty international attitudes (FIA), and engagement in international activities. Specifically, the international atmosphere positively influences FIA and subsequent engagement in internationalization. Furthermore, FIA were found to partially mediate the relationship between the international atmosphere and engagement. This study contributes to the understanding of faculty involvement in internationalization efforts, addressing a gap in the literature. By identifying the factors influencing faculty engagement, institutions can develop targeted strategies to promote global engagement in higher education, ultimately enhancing the internationalization process.
Volume: 14
Issue: 2
Page: 1004-1012
Publish at: 2025-04-01

Examining GenAI readiness and behavioral intention of adult learners: a PLS-SEM and IPMA approach

10.11591/ijere.v14i2.31839
Josephine Ie Lyn Chan , Saw Fen Tan , Meng Cheng Chew
In the current rapidly changing technological landscape, emerging technologies such as generative artificial intelligence (GenAI) continue to disrupt adult learners’ preparedness for the AI-driven future in the workplace and in society. This study aimed to explore the factors of adult learners’ behavioral intention towards adopting GenAI. A quantitative approach was used where a self-administered online survey was randomly distributed to existing adult learners at an open and distance learning (ODL) institution in Malaysia. There were 484 responses, however, due to straightlining and outlier issues, only 460 were usable. Data analysis used SPSS version 28 for data cleaning and descriptive statistics, and SmartPLS 4 to perform partial least squares structural equation modelling (PLS-SEM) and the assessment of importance-performance matrix analysis (IPMA). The findings indicated that GenAI readiness constructs of ability and ethics positively predict adult learners’ intention to adopt GenAI. Management of the university should address the performance gap in ability, maintain ethical awareness, and improve the performance of vision and cognition.
Volume: 14
Issue: 2
Page: 1065-1074
Publish at: 2025-04-01

Assessing self-regulated learning abilities of Indonesian students using cognitive diagnostic model

10.11591/ijere.v14i2.29969
Bayuk Nusantara , Samsul Hadi , Heri Retnawati
This study has two objectives: to find out which cognitive diagnostic model (CDM) is suitable for extracting diagnostic information from non-diagnostic measurement data of Indonesian students’ self-regulated learning abilities; and to find out the attributes of self-regulated learning (SRL) abilities that have not been mastered by Indonesian students. This study used a quantitative research method with a retrofitting approach (post-hoc analysis). There were 3,874 respondents, besides there were 22 items of Q-matrix that measure four attributes of SRL ability. The data were analyzed and empirically validated using the R program with the generalized deterministic input and gate (GDINA) package. The results showed that the GDINA model is the most appropriate model for extracting diagnostic information regarding the SRL abilities of Indonesian students. In addition, most Indonesian students have not been able to master the four SRL ability attributes where the planning attribute (A1) is the most difficult attribute for Indonesian students to master.
Volume: 14
Issue: 2
Page: 984-994
Publish at: 2025-04-01

Shaping competence of intercultural communication during the COVID-19

10.11591/ijere.v14i2.29636
Saya Ayazbayeva , Bazarbek Mukushev , Maral Yessekeshova
Shaping intercultural communication competencies during the educational process in higher education institutions is a crucial criterion for modern global education. This study considers using digital learning technologies in foreign language teaching as an efficient pedagogical strategy for developing intercultural communicative competence during the COVID-19 pandemic. The research methodology was based on a pedagogical experiment. A total of 43 students from the People’s Republic of China, Kyrgyz Republic, Republic of India, and Turkmenistan participated in three study groups. Before the experiment, the indicators of digital competence and willingness to engage in intercultural communication were low, with a high correlation between them. During the one-year academic experiment, the students studied foreign languages using digital technologies. They were involved in cultural immersion programs, master’s classes on intercultural communication, language exchange programs, virtual intercultural events, and online cultural resources. This contributed to improving intercultural communication and, at the same time, students’ digital competence.
Volume: 14
Issue: 2
Page: 879-886
Publish at: 2025-04-01

A new data imputation technique for efficient used car price forecasting

10.11591/ijece.v15i2.pp2364-2371
Charlène Béatrice Bridge-Nduwimana , Aziza El Ouaazizi , Majid Benyakhlef
This research presents an innovative methodology for addressing missing data challenges, specifically applied to predicting the resale value of used vehicles. The study integrates a tailored feature selection algorithm with a sophisticated imputation strategy utilizing the HistGradientBoostingRegressor to enhance efficiency and accuracy while maintaining data fidelity. The approach effectively resolves data preprocessing and missing value imputation issues in complex datasets. A comprehensive flowchart delineates the process from initial data acquisition and integration to ultimate preprocessing steps, encompassing feature engineering, data partitioning, model training, and imputation procedures. The results demonstrate the superiority of the HistGradientBoostingRegressor for imputation over conventional methods, with boosted models eXtreme gradient boosting (XGBoost) regressor and gradient boosting regressor exhibiting exceptional performance in price forecasting. While the study’s potential limitations include generalizability across diverse datasets, its applications include enhancing pricing models in the automotive sector and improving data quality in large-scale market analyses.
Volume: 15
Issue: 2
Page: 2364-2371
Publish at: 2025-04-01

Identifying challenges of cultivating creativity in product design

10.11591/ijere.v14i2.29568
Salwa Suradin , Mohamad Sattar Rasul , Marlissa Omar
Creativity, a crucial skill in the fourth industrial revolution (IR4.0) is highly demanded in the workforce to drive innovation in product design. Therefore, it is important to cultivate creativity in product design through design and technology (D&T) education. However, many past studies encountered challenges regarding D&T teachers’ teaching creativity which might affect creativity cultivation among students. Thus, this article aims to identify the challenges faced by D&T teachers in cultivating student creativity within product design development. Utilizing the systematic literature review (SLR) method using reporting standards for systematic evidence syntheses (ROSES) in three databases, Web of Science, Scopus, and Google Scholar. Based on thematic analysis, this SLR leads to three themes: i) lack of pedagogical competence; ii) different thinking styles; and iii) lack of motivation. Addressing these challenges highlights the importance for educational institutions to align their curricula with current industry demands, ensuring students are well-prepared to tackle the complexities of contemporary product design. This effort requires collaboration among educators, industry leaders, and policymakers to update teaching methods, incorporate practical experiences, and enhance an environment that cultivates creativity.
Volume: 14
Issue: 2
Page: 1488-1495
Publish at: 2025-04-01

Digital learning and student outcomes: a mathematical synthesis from the last decade

10.11591/ijere.v14i2.30431
Aizhan Koishybekova , Nazym Zhanatbekova , Yerlan Khaimuldanov , Assel Orazbayeva , Dariya Abykenova
Understanding the broad effects of e-learning on educational outcomes and the contributing factors is crucial, especially given the conflicting conclusions from past research. This is important to ensure that educators and policymakers do not waste resources and focus effectively when prioritizing digital investments. Hence, this study sought to provide a comprehensive quantitative review of the extant evidence on how digital learning initiatives affect student outcomes within the cognitive domain across different subjects and educational levels. To that end, a meta-analysis was performed encompassing 17 studies spanning from 2015 to 2023, involving 1,896 participants. The quantitative synthesis was completed using a random-effects model. The results indicate a positive small to medium overall effect size (Hedge’s g=.49, adjusted for publication bias) for technology-assisted interventions compared to traditional education. Subgroup analyses revealed nuances, such as higher academic gains associated with active cognitive engagement modes and potential disparities between school and higher education settings. However, no factors significantly affected the pooled effect sizes for cognitive outcomes. Nevertheless, considerable between-study heterogeneity could compromise the estimates. The meta-analysis underscores the scarcity of rigorous studies in the digital learning domain. Further research directions are outlined.
Volume: 14
Issue: 2
Page: 1150-1161
Publish at: 2025-04-01

Challenges and solutions in organizing geological field trips for Moroccan secondary school life and earth sciences teachers

10.11591/ijere.v14i2.29883
Aâtika Eddif , Sabah Selmaoui , Hanaa Chalak , Radouan Chakour
Teaching and learning earth sciences (ES), notably geology, are conducted across various environments, encompassing the classroom, laboratory, and, most significantly, the field. The field trip is recognized as a key component of practical training and the overall success of the educational process in ES. This paper elucidates the findings of a survey aimed at understanding the challenges faced by Moroccan secondary school teachers of life and earth sciences (LES) in organizing geological field trips. The survey sought to identify the difficulties these teachers encounter and propose potential support mechanisms to mitigate these challenges. The study revealed that teachers often do not arrange geological field trips due to challenges related to administration, personal factors, pedagogy, and didactics. In an effort to address this situation, the study underscores the importance of integrating practical work into teacher training and student education. It also emphasizes the need for the provision of more adequate teaching materials and logistical support to facilitate geological excursions, thereby enriching the appreciation of earth sciences disciplines among both teachers and students. Finally, the establishment of electronic collaboration between local Moroccan universities and secondary schools is recommended as a crucial step towards further improvement.
Volume: 14
Issue: 2
Page: 1459-1467
Publish at: 2025-04-01
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