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29,939 Article Results

E-waste management in higher education institutions: insights and policy recommendations

10.11591/ijphs.v14i2.25020
Fredelino A. Galleto Jr. , Maricel G. Dayaday , Frediezel G. De Leon
Electronic waste disposal is a primary concern both on a national and global spectrum. The increased usage of information and communication technology and electronic devices among higher education institutions (HEIs) contributes to the annual generation of e-waste. HEIs are called to implement a sustainable scheme to curtail the environmental and public health threats brought by e-waste. Against this background, the recycling strategies of HEIs for discarded electronics were examined and evaluated as to its effectiveness and used as basis to develop policy recommendations for e-waste management. The interventions developed were met with general approval and positive response. The innovative products were perceived to be useful in serving their new purposes and reducing the problems of e-waste in HEIs. These findings provide valuable input for HEIs seeking to enhance their e-waste recycling practices. Existing legislation concerning e-waste was looked into, and policy recommendations that encouraged cooperation and shared accountability among key players and stakeholders were drawn up.
Volume: 14
Issue: 2
Page: 919-926
Publish at: 2025-06-01

Classification of customer complaints on social media for e-commerce in Indonesia

10.11591/ijece.v15i3.pp2977-2985
Achmad Rizki Aditama , Alfan Farizki Wicaksono
The e-commerce industry in Indonesia has experienced rapid growth, especially during the COVID-19 pandemic, which accelerated the shift to online platforms. The market is expected to grow by 105.5% from 2025 to 2030 due to increased internet and smartphone use. As e-commerce expands, companies must improve how they handle customer complaints to build trust and loyalty. Social media is a crucial channel for customer interactions, but it also includes non-complaint messages like positive comments, general questions, and spams that need to be filtered out. This research proposes a machine learning model to automatically classify social media interactions into complaints and non-complaints, focusing on Indonesian-language content. The modeling process utilized 10,600 data points collected from social media X. The best model, a bidirectional encoder representation from transformers (BERT) based classifier, achieved an F1-score of 98.3%. The McNemar test revealed significant performance differences between several models, with the BERT-based model outperforming others. This demonstrates that it is highly effective in distinguishing between complaints and non-complaints, making it a valuable tool for enhancing customer service in Indonesia's e-commerce sector.
Volume: 15
Issue: 3
Page: 2977-2985
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

Development of character extraction techniques to detect chicken gender based on egg shape

10.11591/ijeecs.v38.i3.pp1851-1861
Adil Setiawan , Yuhandri Yuhandri , Muhammad Tajuddin
This research investigates the differentiation of chicken sex based on egg shape images by developing an innovative eccentricity shape feature extraction method. The goal is to determine the sex of chickens before hatching, by identifying the sex of the egg prior to incubation. Images of eggs are captured using a smartphone camera, creating a dataset of 150 images each of male and female eggs, with expert assistance. The research aims to accurately identify male and female eggs, aiding breeders in sorting them. The research introduces a unique method to expand the eccentricity value range, enhancing the precision of egg shape analysis. Characteristic extraction results include: area = 1290194, eccentricity = 6.56, contrast = 0.03, correlation = 0.99, energy = 0.44, and homogeneity = 0.98, with a previous value of 0.72. For Feature Selection, the values obtained are: eccentricity = 0.901188049, Area = 0.73, Energy = 0.03, Contrast = 0.01, Homogeneity = 0.01, and Correlation = 0.01. These findings demonstrate significant improvements in differentiating chicken sex from egg images, showcasing the effectiveness of the newly developed eccentricity shape feature extraction method.
Volume: 38
Issue: 3
Page: 1851-1861
Publish at: 2025-06-01

Influence of knowledge, access to information, and health seeking behavior on antibiotic self-medication in Thailand

10.11591/ijphs.v14i2.25741
Worrayot Darasawang , Wongsa Laohasiriwong , Kittiphong Sornlom , Roshan Kumar Mahato
Antibiotic self-medication (ASM) significantly contributes to antimicrobial resistance (AMR), a pressing global health concern. However, the impact of knowledge, health information access, and health-seeking behavior on ASM in Thailand is poorly understood. This study aimed to evaluate these influences using data from the 2021 health and welfare survey conducted by Thailand’s National Statistical Office. A generalized linear mixed model was applied to assess associations. Variables with a p-value <0.25 in bivariate analysis were further analyzed in a multivariable model, with adjusted odds ratios (AOR), 95% confidence intervals (CI), and p-values reported. Among 26,030 participants, 2.79% (95% CI: 2.59%-2.99%) engaged in ASM. Low knowledge of antibiotic use was strongly linked to ASM (AOR=4.30, 95% CI: 2.61-7.08), as was moderate knowledge (AOR=2.47, 95% CI: 1.49-4.09). Lack of antibiotic-related information significantly increased ASM (AOR=3.86, 95% CI: 3.03-4.92). Recent health-seeking behaviors, including over-the-counter medication (AOR=3.54, 95% CI: 2.02-6.21) and avoiding public and private hospitals, were also major contributors. Medication and transportation expenses were additional significant factors. Enhancing access to health information, knowledge, and healthcare services could reduce ASM in Thailand.
Volume: 14
Issue: 2
Page: 576-585
Publish at: 2025-06-01

Electroencephalography and heart rate variability prognostics in mental health therapies for Malaysian workers

10.11591/ijphs.v14i2.25224
Nurnadiah Zamri , Samhani Ismail , Azimah Ismail , Norsuhaily Abu Bakar , Siti Nurani Hassan , Tuan Sharipah Tuan Hadi , Amir Zulhilmi Yahaya , Chong Siew Koon , Nor Azmi Abu Bakar
Globally, over a million individuals succumb to suicide annually, with depression contributing to 6.7% of these tragic deaths. Such crises often stem from life-induced pressures, escalating into severe mental health issues. Recognizing these early signs is pivotal, but insufficient without effective therapeutic measures. This study endeavors to address these challenges by exploring patient responses to therapy using electroencephalogram (EEG) and heart rate variability (HRV) data. Conducted in Kuala Terengganu, Malaysia, the research involves workers and employs aromatherapy, deep breathing exercises, and ruqyah alongside a control group. EEG and HRV signals monitor brain wave patterns and heart rhythm coherence, aiding in identifying depression, stress, and anxiety indicators. Integrating questionnaire data including the depression-anxiety-stress-scale (DASS), beck depression inventory (BDI), beck anxiety inventory (BAI), and statistical analysis, the study aims to evaluate therapeutic efficacy in enhancing relaxation and mental well-being. Metrics like HRV coherence ratio and EEG delta wave activity offer insights into therapy optimization. Results suggest deep breathing exercises and aromatherapy as most effective in inducing calmness, followed by ruqyah. By tailoring therapy to individual needs, especially among workers, the study endeavors to foster mental health resilience in communities, paving the path towards a mentally healthier populace.
Volume: 14
Issue: 2
Page: 760-772
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

The influence of social media on Greek mothers’ attitudes and knowledge on breastfeeding

10.11591/ijphs.v14i2.24707
Katerina Mila , Eleni Tympa , Vasiliki Karavida
Recently, maternal breastfeeding in Greece has shown a positive trend. However, breastfeeding rates in Greece still lag behind those of other European countries. The participants of this quantitative study were recruited via social media and by personal connections. Data were gathered through questionnaire and analyzed utilizing descriptive statistics with SPSS 20. The study investigates: i) Trust levels among Greek mothers in social groups and their awareness of breastfeeding issues. ii) The impact of active participation in Greek parenting and breastfeeding support groups on Facebook on choosing and sustaining exclusive breastfeeding. iii) Whether engagement in social media groups positively influences the duration of exclusive breastfeeding and extends the overall breastfeeding period for infants. Out of the 776 participants, 727 were part of social media parenting groups. About 27.9% credited these groups for influencing their decision to breastfeed. Moreover, they perceived significant assistance from social media in staying well-informed about breastfeeding. The data collected confirms social media parenting groups positively influence breastfeeding mothers, enhancing knowledge, self-confidence, and deterring negative attitudes. This factor increases the likelihood of sustaining exclusive breastfeeding up to the recommended six months.
Volume: 14
Issue: 2
Page: 652-660
Publish at: 2025-06-01

Modeling sentiment analysis of Indonesian biodiversity policy Tweets using IndoBERTweet

10.11591/ijai.v14.i3.pp2389-2401
Mohammad Teduh Uliniansyah , Asril Jarin , Agung Santosa , Gunarso Gunarso
This study develops and evaluates a sentiment analysis model using IndoBERTweet to analyze Twitter data on Indonesia’s biodiversity policy. Twitter data focusing on topics such as food security, health, and environmental management were collected, with a representative subset of 13,435 tweets annotated from a larger dataset of 500,000 to ensure reliable sentiment labels through majority voting. IndoBERTweet was compared to seven traditional machine-learning classifiers using TF-IDF and BERT embeddings for feature extraction. Model performance was assessed using mean accuracy, mean F1 score, and statistical significance (p-values). Additionally, sentiment analysis included word attribution techniques with BERT embeddings, enhancing relevance, interpretability, and consistent attribution to deliver accurate insights. IndoBERTweet models consistently outperformed traditional methods in both accuracy and F1 score. While BERT embeddings boosted performance for conventional models, IndoBERTweet delivered superior results, with p-values below 0.05 confirming statistical significance. This approach demonstrates that the model’s outputs are explainable and align with human understanding. Findings underscore IndoBERTweet’s substantial impact on advancing sentiment analysis technology, showcasing its potential to drive innovation and elevate practices in the field.
Volume: 14
Issue: 3
Page: 2389-2401
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

Bridging technology and healthcare: user acceptance of a surgical site infection system

10.11591/ijaas.v14.i2.pp523-532
Afan Fatkhur Akhmad , Maria Ulfa
Surgical site infections (SSI) continue to be a problem for surgeons, and unfortunately, SSI information systems are underutilized. This study analyzed the user acceptance of the SSI information system based on the extended technology acceptance model (TAM2). A cross-sectional questionnaire-based study. The variables studied intention to use (IU), perceived ease of use (PEOU), demographic factors (FD), subjective norm (SN), Image (I), job relevance (JR), output quality (OQ), result demonstrability (RD), perceived usefulness (PU). Data were collected by filling out questionnaires and then analyzed using smart-partial least squares (PLS). In total, 61 nurses were included. Most respondents are aged 31-35 (26.23%), and most working periods are between 11-15 years (27.87%). There were significant positive effects on SN to PU (β=0.12; p 0.05). This study concluded that PEOU is the most influential variable in the IU the SSI information system.
Volume: 14
Issue: 2
Page: 523-532
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 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

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

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
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