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24,092 Article Results

Leadership and its impact on educational institutions: a systematic review

10.11591/ijere.v13i6.29169
Sebastián Huangal-Scheineder , Jaime Cieza-Sánchez , Manuel Diaz-Paredes , Miguel Arriaga-Delgado , Aurora Marchena-Tafur
Leadership, in the educational field, is an important tool to improve the functioning of an educational institution and student learning. For this, trained leaders are required to exercise the most appropriate changes and manage the joint work of workers, in order to meet the proposed goals. In this context, this work had the objective of this article was to explore the role of directors and teachers in achieving the objectives of educational institutions, identify the most recommended leadership style for educational institutions, and identify the importance of having strong leadership within them. With this aim in mind, a systematic review of the literature based on the PRISMA method was carried out, selecting 50 publications. As a result, it was concluded that good leadership is fundamental for the academic development of institutions at any educational level, and that much of this responsibility falls on managers. In addition, the transformational leadership style is highlighted as the most effective to be used within schools and universities, and to provide a better educational experience for students.
Volume: 13
Issue: 6
Page: 3628-3640
Publish at: 2024-12-01

Prevalence and determinants associated with adolescent idiopathic scoliosis: results of screening in Surakarta, Indonesia

10.11591/ijphs.v13i4.23884
Alinda Nur Ramadhani , Dea Linia Romadhoni , Almas Awanis
Scoliosis is defined as a vertebral deformity characterized by a lateral deviation of at least 10° with vertebral rotation. Adolescent idiopathic scoliosis is generally found in children aged 10-18 years. Changes in the scoliosis curve are influenced by various etiologic factors including age, sex, growth factors, curve location and biomechanical factors. The study was conducted to determine the prevalence of adolescent iidophatic scoliosis in school students aged 12-15 years in Surakarta city. Physical examination using Adam's forward bending test, scoliometer and risk factor questionnaire. The research subjects were 325 people with an age range of 12-15 years. Research subjects are included in the adolescent idiopathic scoliosis category if the Adam's forward bending test is positive and the scoliometer value is >10°. The highest prevalence of adolescent idiopathic scoliosis was found in school children aged 14 years. The prevalence of adolescent idiopathic scoliosis is higher in female (3.4%) than male students (0.3%). Determining factors that might influence the onset of adolescent idiopathic scoliosis including age, gender, biomechanical factors, habits or lifestyles factors and physical activity.
Volume: 13
Issue: 4
Page: 1548-1553
Publish at: 2024-12-01

Optimal DSSC’s deployment in power system using PSO

10.11591/ijape.v13.i4.pp835-843
Sandeep R. Gaigowal , Mohan M. Renge , Bhushan Y. Bagde , Manish Devendra Chawhan , Shweta L. Tiwari
Owing to the high cost of installation and operation, distributed flexible AC transmission system (FACTS) technology gives opportunity to provide cost-effective solution in power system operation and control. A distributed static series compensator (DSSC) is a series FACTS device and it is placed equidistantly placed on the existing line to vary the line current. Active power can be controlled in the line with the help of DSSC. This paper presents DSSC for active power flow control to enhance system loadability index and to minimize reactive power generation by generators. Since DSSC is of low power. a small value of reactance is emulated in the line. Large number of DSSC’s are distributed along the transmission line at regular intervals to realize considerable change in the current. A particle swarm optimization is implemented to determine DSSC’s emulated reactance optimally. In this condition, all the lines flowing power in their limits with increased loading condition. Maximum system loadability index is evaluated by employing optimal number of DSSC’s on the line. A multiobjective problem is formulated. One objective function is formed such that no line would become overloaded even when loading is increased. Other objective is formulated to minimize reactive power generation by generators. A compromise solution is investigated for optimally connected of DSSC devices to achieve both the objective functions. IEEE 14 bus system is taken for MATLAB simulation of DSSC compensated system.
Volume: 13
Issue: 4
Page: 835-843
Publish at: 2024-12-01

Design and validation of research capability test for educators

10.11591/ijere.v13i6.29443
Jay-cen Tamayo Amanonce , Rudolf Tamangen Vecaldo , Maribel Fontiveros Malana , Conchita Malenab Temporal , Antonio Ingaran Tamayao , Jhoanna Battung Calubaquib , Marie Claudette Maramag Calanoga , Ria Arellano Tamayo
Assessing the research capability of educators yields implications for bridging the gap and addressing concerns along research. Accordingly, the Commission on Higher Education (CHED) highlighted substantive research concerns which need to be given attention specifically in enhancing research capabilities of graduate students, research staff, and faculty which calls for a well-designed and validated research capability test (RCT). Thus, this study established the RCT’s validity and reliability to gauge the knowledge of educators in conceptualizing, implementing, and publishing research. The developed RCT underwent series of critiquing, content validation from experts, and internal and external pilot testing. The study has generated 80 items with desirable difficulty index (50.76), reasonably good discrimination index (0.28), and large functioning distractors (78.97% distractor efficiency). Remarkably, there is a significant association between distractor efficiency and difficulty index of the items with an inter-item consistency of α=0.904. Thus, the RCT is a valid and reliable instrument to gauge the research capability of educators.
Volume: 13
Issue: 6
Page: 3741-3751
Publish at: 2024-12-01

Digital hygiene skills and cyberbullying reduction: a study among teenagers in Kazakhstan

10.11591/ijere.v13i6.28418
Dinara Berdi , Gulzhan Niyazova , Nurbanu Bayterekova , Gulnazira Koshanova , Indira Usembayeva
Cyberbullying is a growing concern among teenagers, leading to adverse psychological and emotional consequences. To address this issue, this study aimed to identify the role of digital hygiene skills in reducing cyberbullying experiences among teenagers in Kazakhstan. A quantitative research approach was employed, and the data were collected using a questionnaire with items related to digital hygiene skills and cyberbullying experiences, which were measured on a 5-point Likert scale. A stratified random sample of 238 students from town and district middle schools in the Turkistan region participated in the study. The data were analyzed using partial least squares structural equation modeling with SmartPLS 4.0. The findings revealed that privacy protection, critical thinking, phishing and scam awareness, and digital footprint awareness were significant factors associated with reduced cyberbullying experiences. However, safe reporting, positive online behavior, and online etiquette did not significantly impact cyberbullying reduction. This study underscores the importance of promoting specific digital hygiene skills to create a safer and more supportive digital environment for teenagers. Policy recommendations are provided to enhance cyberbullying prevention efforts and foster a positive online culture.
Volume: 13
Issue: 6
Page: 4170-4188
Publish at: 2024-12-01

The impact of social studies teachers’ use of e-learning techniques to develop student’s perceived self-efficacy

10.11591/ijere.v13i6.29797
Basma Mohammad Al-Hawamdeh , Israa Omar Abu Alkishek , Haitham Mohammad Ali Zureigat
Private universities in Jordan have witnessed a major shift in teaching methods and strategies, as e-learning techniques have become an integral part of the educational policies followed. Therefore, the study aimed to identify the effect of social studies teachers’ use of e-learning techniques in developing the perceived self-competencies of university students, depending on gender and field of specialization. To achieve this, the descriptive analytical method was used in conducting the study. The perceived self-efficacy test was applied to a sample of 292 university students who were randomly selected. The study found that e-learning techniques contributed to raising the level of perceived self-efficacy among males more than among females. It did not have a significant impact on its interaction with the student’s field of specialization. The results also indicate the importance of the role played by social studies teachers with technological educational techniques in improving the level of students’ self-efficacy. Moreover, social relations are among the most important factors contributing to building a conscious generation that preserves human dignity. Therefore, we must research the negatives of e learning to find out the reason behind the lack of improvement in the level of perceived self-efficacy among females.
Volume: 13
Issue: 6
Page: 3725-3731
Publish at: 2024-12-01

Hybrid digital and analog beamforming design using genetic algorithms

10.11591/ijece.v14i6.pp6389-6400
Sidi Mohammed Bahri , Abdelhafid Bouacha
Hybrid analog and digital beamforming is gaining attention for its practical application in large-scale antenna systems. It offers significant cost savings, reduced complexity, and lower power consumption compared to entirely digital beamforming, all while maintaining comparable performance. This article proposes a hybrid beamforming architecture aimed at addressing these challenges by using a reduced number of radio frequency (RF) chains while achieving performance comparable to entirely digital schemes. The study demonstrates that matching the number of RF chains to the total number of data streams enables hybrid beamforming to compete effectively with entirely digital beamformers. The adopted approach focuses on computing analog and digital precoders and combiners using the meta- heuristic method of genetic algorithms, in a point-to-point multiple input multiple output (MIMO) system scenario. The objective is to simplify the system and reduce costs by optimizing the number of antennas, RF chains, and data streams, all while maintaining comparable performance to entirely digital beamforming. The study's results show that increasing the number of antennas significantly impacts the quality and capacity of the hybrid massive MIMO beamforming system. Conversely, reducing the number of RF chains has a negligible effect on quality and capacity, but simplifies the design and minimizes costs.
Volume: 14
Issue: 6
Page: 6389-6400
Publish at: 2024-12-01

Analysis of academic desertion among ungraduated mathematics students

10.11591/ijere.v13i6.26670
Miguel Armando Rodríguez Márquez , Dagoberto Salgado Horta , Cristina Pedrosa-Jesús
University dropout is a phenomenon that has played an important role in the undergraduate program in mathematics at the University of Tolima (Colombia), because it has been a program that has high dropout rates semester by semester. To generate the results presented here, the population who was considered was students enrolled in the 2012A-2018B academic period. In this time frame, the information on the factors required to characterize student dynamics is consolidated and evaluated using the Kaplan-Meier statistical model, evaluation of associations, correlations and comparisons using non-parametric statistics. The aim is to determine the individual, academic, institutional, social and economic factors that cause students to drop out. As a result of the analysis in context, the factors that influence the problems of the phenomenon of dropout in this cohort were determined and characterized. This methodology presents causal factors for student retention on which actions should be taken to propose strategies associated with obtaining better percentages of retention and graduation within the Bachelor’s Degree program in Mathematics.
Volume: 13
Issue: 6
Page: 3859-3871
Publish at: 2024-12-01

Self-regulation and resilience: the role on active procrastination of young adults

10.11591/ijphs.v13i4.23945
Ivy Josiah Vincent , Mei-Yui Law , Zariv Long-Kwan Chew , Chooi-Seong Lai
Our current dynamic digital era has generated active procrastination which is a popular trend of behaviour among young adults. Deciphering this reckless habit reveals a fascinating truth in which active procrastination thrives on strategic planning for task completion. This study examined i) self-regulation and resilience as the significant predictors of active procrastination among young adults, ii) the significant difference in active procrastination among university students and working young adults, iii) significant gender differences among university students, and iv) among working young adults. A total of 192 respondents completed the questionnaires, Self-Regulation Scale, Connor-Davidson Resilience Scale, and Active Procrastination Scale. Through quantile regression, results show that self-regulation is a significant predictor of active procrastination among young adults. Independent t-tests shows there is no significant differences in active procrastination among university students and working young adults. However, there are significant gender differences in active procrastination among university students, but not among working young adults. These findings indicate that self-regulation plays a significant role in cultivating active procrastinating among young adults. Furthermore, interesting findings are discovered for gender differences as males have relatively higher active procrastination scores. Hence, the findings emphasize the need for workshops to transform young adults to become active procrastinators through enhancing self-regulation.
Volume: 13
Issue: 4
Page: 1538-1547
Publish at: 2024-12-01

Indirect feedback alignment in deep learning for cognitive agent modeling: enhancing self-confidence analytics in the workplace

10.11591/ijece.v14i6.pp6699-6710
Hareebin Yuttachai , Billel Arbaoui , Yusraw O-manee
The innovative application of indirect feedback alignment (IFA) in deep learning enhances workplace self-confidence analytics through cognitive agent modeling. IFA addresses the challenge of credit assignment in multi-layer neural networks, offering a more efficient and biologically plausible alternative to traditional backpropagation methods. The paper delves into the integration of IFA in workplace dynamics, focusing on the development of a state-determined system to describe and analyze the dynamics of self-confidence, self-concept, self-esteem, and self-efficacy among employees. Utilizing a combination of endogenous and exogenous factors, the study presents a comprehensive model that captures the complex interplay of these factors in professional settings. The research further conducts experiments to observe and analyze the behavior and pattern formation among real workers in various settings, demonstrating the practical implications of the theoretical model. The findings highlight the potential of IFA in enhancing and accelerating the components of deep learning associated with self-confidence in the workplace, contributing significantly to the fields of neural computation and cognitive psychology. The proposed method was tested in various situations to assess its alignment with the core concepts of workplace self-confidence. Mathematical analysis was employed to explore feasible equilibrium conditions and compatible cases found in the literature.
Volume: 14
Issue: 6
Page: 6699-6710
Publish at: 2024-12-01

Load forecasting using fuzzy logic, artificial neural network, and adaptive neuro-fuzzy inference system approaches: application to South-Western Morocco

10.11591/ijece.v14i6.pp7067-7079
Hicham Stitou , Mohamed amine Atillah , Abdelghani Boudaoud , Mounaim Aqil
The demand for energy on a global scale is continuously rising due to the expansion of energy infrastructure and the increasing number of new appliances. To address this growing need, an efficient energy management system (EMS) has become indispensable. By implementing EMS, both residential and commercial buildings can significantly improve their energy efficiency and consumption. One crucial aspect of enabling EMS to operate efficiently is load forecasting. The accuracy of load forecasting depends on numerous factors. A reliable load forecast model should consider the region’s weather forecast, as it plays a crucial role in developing an accurate prediction. This study is about the medium-term load forecasting (MTLF) for the Province of Taroudant, Morocco, using historical monthly load and weather data for five years (2018 to 2022). To forecast consumed energy three methods are used namely artificial neural network (ANN), fuzzy logic (FL) and adaptive neuro-fuzzy inference system (ANFIS). This paper selects absolute percentage error (APE), mean absolute percentage error (MAPE), correlation coefficient (R) and root mean square error (RMSE) to compare and evaluate the prediction accuracy of models. It has been observed through results analysis that the ANFIS model produces very accurate forecasting prediction with MAPE of 4.75% while ANN and FL models give respectively MAPE of 7.36% and 8.42%.
Volume: 14
Issue: 6
Page: 7067-7079
Publish at: 2024-12-01

A comprehensive verification of the header format and bandwidth utilization to detect distributed denial of service attack in vehicular ad hoc network

10.11591/ijece.v14i6.pp6538-6550
Arun Singh Kaurav , K. Srinivas
Vehicular ad hoc network (VANET) is a promising technology for controlling traffic on roads. Nowadays, heavy traffic is a major issue, and the presence of attackers exacerbates the situation. The most important challenge in VANET is its security from malicious vehicles. In order to defend against distributed denial of service DDoS attacks, we propose a comprehensive verification header format bandwidth detection (CVHB) in VANET. The behavior of a DDoS attack is unknown for all the other normal nodes in network. The header format of packer contains all the information of nodes that are actively participating in routing. The attacker infection probability measured by 𝑃𝑏 and 𝑃𝑚 or (𝑃𝑏 > 0.9). If both the parameters are high means attacker presence confirm in network. The CVHB scheme checks the packet header format of the attacker node, and only the attacker is one of the nodes whose sequence number is frequently changing. So, CVHB blocks the flooding of unwanted packets that consume the limited bandwidth of a wireless link and identify packets that contain no useful information. To measure the performance of the network, the basic performance metrics that are used are dropping percentage, packet delivery ratio (PDR), throughput and delay. The result of CVHB is showing improvement as compared to multilayer distributed self-organizing maps (MSOM) in VANET.
Volume: 14
Issue: 6
Page: 6538-6550
Publish at: 2024-12-01

Hybrid metaheuristic algorithms: a recent comprehensive review with bibliometric analysis

10.11591/ijece.v14i6.pp7022-7035
Ahmed M. Nassef , Mohammad Ali Abdelkareem , Hussein M. Maghrabie , Ahmad Baroutaji
Metaheuristic algorithms are widely used in various applications. Collaborating two or more algorithms in a hybrid form has shown great improvements in terms of the algorithm's performance. This paper highlights the recently published work during the last decade from a quantitative perspective. The biometric measures include the number of publications, citations, average citations per publication, h-index, and field-weighted citation impact (FWCI) based on the data extracted from the Scopus database. Statistical measures, co-occurrence and co-authorship maps, and illustrative graphs have been implemented using software tools. According to the collected data, about 3469 articles have been published during the last decade with an increasing rate of 44.1 papers per year. Most of these articles have been published as journal articles with a percentage of 68.3%, followed by conference articles occupied 29.5%. China, India and Iran contributed the largest number of articles at 1076, 965, and 239, respectively. Parouha, Verma, and Kamel, are the top-ranked authors with 14, 10, and 9 publications, respectively. The most areas of interest are computer science, engineering and mathematics with publication percentages of 27.69%, 25.55% and 13.91%, respectively. The data presented in this paper gives the researchers a clear image of this hot topic to start new research.
Volume: 14
Issue: 6
Page: 7022-7035
Publish at: 2024-12-01

Effect of combining oketani and oxytocin massage towards breast milk production: a quasi-experimental study

10.11591/ijphs.v13i4.24609
Adinda Putri Sari Dewi , Kusumastuti Kusumastuti
Challenges in achieving exclusive breastfeeding often emerge during the initial days when complete establishment of breast milk production may not occur. In this vulnerable period, infants might receive supplementary foods or drinks, creating barriers to exclusive breastfeeding. This study seeks to integrate oketani and oxytocin massage with a suggestive approach to evaluate their impact on breast milk production among mothers. Employing a quasi-experimental design with a pre-post-test control group, the research focuses on postpartum mothers at PKU Muhammadiyah Gombong Hospital, with a sample size of 60 respondents chosen through purposive sampling. Demographic data and observation sheets were utilized to document breast milk production before and after the intervention. Data analysis involved Mann-Whitney and Wilcoxon tests. The study revealed a significant difference between pre- and post-intervention phases within the intervention group (p-value <0.005), indicating noteworthy changes following the implementation of oketani and oxytocin massages. The interventions demonstrated potential in enhancing breast softness, nipple and areola elasticity, and overall milk production, offering valuable insights into non-pharmacological approaches for supporting breastfeeding.
Volume: 13
Issue: 4
Page: 1881-1887
Publish at: 2024-12-01

Cross-culture adaptation and validation of Indonesian language version of Pittsburgh Sleep Quality Index

10.11591/ijphs.v13i4.23439
Achmad Fauzi , Fatimah Ahmedy , Rosidah Rosidah
Hemodialysis (HD) patients have a high rate of poor sleep. The Pittsburgh Sleep Quality Index (PSQI) is the most popular self-reported instrument to measure sleep quality. No study has tested the psychometric efficiency of the Bahasa (Indonesian language) PSQI in hemodialysis (HD) patients, and no cross-cultural adaptation has been done. The purpose of this research was to translate the PSQI into Bahasa and improve its psychometric properties for use in evaluating HD patients in Indonesia. This study used instrument translation, cultural adaptation, content validation, and equivalence to crossculturally validate and adapt an instrument. The hemodialysis center at a West Java medical facility served as a source of potential HD patients throughout the period of October 2022 to February 2023. A content validity index (CVI) was calculated for each item and the entire scale. The factor structure of the Bahasa PSQI has been evaluated by confirmatory factor analysis and internal consistency was calculated using Cronbach's alpha. The online survey received a response rate of 62.8% from a total of 220 patient with HD (about ten responders each item). The level of language clarity was 87.8%, and the level of cultural relevance was 84.5%. The CVI varied from 0.92 to 1.00. Each factor had factor loading ranging from 0.51 to 0.62. that Cronbach alpha for total score was 0.803, and the subscale ranged from 0.771 to 0.863. Our research provides preliminary evidence of the validity and reliability of the translated and adapted tool using data from HD patients in Indonesian hospitals.
Volume: 13
Issue: 4
Page: 1672-1678
Publish at: 2024-12-01
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