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Artificial intelligence-based multi-key security for protected and transparent medical cloud storage

10.11591/ijaas.v14.i4.pp1241-1250
Ravi Kiran Bagadi , Neelima Santoshi Koraganji , Bandreddi Venkata Seshukumari , Kavya Ramya Sree Karuturi , Sireesha Abotula , Bodapati Venkata Rajanna , Mahalakshmi Annavarapu , Nitalaksheswara Rao Kolukula , Jayasree Pinajala , James Stephen Meka
Ensuring the security and privacy for the patient medical records and medical reports data is a crucial challenge as cloud-based healthcare technologies become more prevalent. For cloud-hosted medical data, internet of things (IoT) and artificial intelligence (AI) technologies shows best solutions for the challenges in the medical domain. This study suggests a Secure and Transparent Multi-Key Authentication Framework that makes use of AI. Using Z-score normalization, the framework first preprocesses the data before clustering to create a multi-level multi-key security structure. The physics-informed triangulation aggregation neural network (PITANN) model in the study reduces computation costs by minimizing overhead, ensuring secure handling of location-based and medical data for enhanced data classification and encryption effectiveness. A multi-key derivation of an elliptic curve, the ElGamal cryptography scheme is presented, which allows for safe multi-key encryption with little increase in the length of the ciphertext. This method guarantees safe, confidential access to cloud-hosted encrypted health information. An envisioned amalgamation improves flexibility by enhancing performance metrics such as speed of computation while safeguarding patient information through enhanced security measures and ensuring precise medical record integrity within virtual healthcare systems.
Volume: 14
Issue: 4
Page: 1241-1250
Publish at: 2025-12-01

Prediction index drought use neural network based rainfall

10.11591/ijaas.v14.i4.pp1146-1154
Nur Nafiiyah , Ali Mokhtar
Prolonged dry seasons compared to rainy seasons often lead to drought, making drought index observations essential. In Indonesia, drought monitoring commonly uses the standardized precipitation index (SPI), yet there is no common standard for drought index measurement. Therefore, this research applies the Z-score index (ZSI) and China-Z index (CZI), which, like SPI, are rainfall-based drought indices but have rarely been explored in previous research. To predict ZSI and CZI, this research compares the weighted moving average (WMA) and multilayer perceptron (MLP) methods. Two input scenarios are tested: the previous two periods (t-2, t-1) and the previous three periods (t-3, t-2, t-1). The results show that MLP outperforms WMA, with the best performance achieved by the MLP model at a mean absolute percentage error (MAPE) of 4.177% using the three variable input scenario and MLP architecture 3-6-10-1.
Volume: 14
Issue: 4
Page: 1146-1154
Publish at: 2025-12-01

Digital literacy and cybersecurity in higher education: the unseen power of academic librarians

10.11591/ijere.v14i6.34916
Mohammad Fazli Baharuddin , Abdurrahman Jalil , Zahari Mohd Amin , Fadhilnor Rahmad , Shamila Mohamed Shuhidan
The increasing reliance on digital technologies in higher education has amplified the need for students to develop digital literacy and cybersecurity awareness. However, many undergraduate students lack the competencies required for responsible and secure digital engagement, posing significant risks in the digital landscape. Academic librarians, as key facilitators of information literacy, are uniquely positioned to address these challenges, yet their roles in promoting digital literacy and cybersecurity awareness remain underexplored. The study addresses the following key issues: how do academic librarians play their roles on undergraduate students’ digital literacy and cyber security awareness; what are the challenges related to library initiatives; and, perhaps most importantly, what are the strategies do librarians employ to improve it? Using a qualitative research methodology, data were collected through interviews with six academic librarians and analyzed using thematic analysis. The findings reveal that academic librarians play critical roles in fostering digital literacy and cybersecurity by teaching information literacy, promoting ethical online behavior, and enhancing students’ digital safety practices. Challenges identified include limited resources, diverse digital skill levels among students, and difficulties in maintaining student engagement. Librarians address these issues through strategies such as faculty collaboration, integrating digital literacy programs, employing interactive learning tools, and pursuing continuous professional development. This research offers actionable insights for integrating digital literacy and cybersecurity initiatives into library services, improving librarian training, and enhancing the sustainability and visibility of academic libraries within higher education institutions.
Volume: 14
Issue: 6
Page: 4404-4417
Publish at: 2025-12-01

Understanding the link between graduate experiences and workforce integration in physical education and sports science

10.11591/ijere.v14i6.34909
Bryan M. Nozaleda , Jasmin B. Saquing , Maricel L. Dayag-Tungpalan , Hans Freyzer B. Arao , Chita C. Ramos , Daniel T. Casauay
Graduate employability remains a critical challenge in higher education in fields with diverse career pathways like physical education and sports science (PESS). Despite efforts to enhance employability through curriculum improvements and institutional support, gaps persist in workforce integration, particularly for non-teaching graduates. This study investigates the relationship between higher education experiences and employment outcomes among PESS graduates. Using data from 274 alumni of a state university in the Philippines, the study employed binary logistic regression to assess the influence of specialization, postgraduate education, and institutional support on employability. Results indicate that graduates in the teaching track were significantly more likely to secure employment as professional educators, while non-teaching graduates faced challenges aligning their careers with their academic background. Enrollment in postgraduate education emerged as a strong predictor of employment, however, curriculum evaluation and overall university experience were not immediate predictors of employability, though long-term employment outcomes were positively associated with graduates’ perceptions of their academic training. These findings reinforce the need for higher education institutions (HEIs) to strengthen career development initiatives for non-teaching graduates and enhance work-integrated learning (WIL) opportunities.
Volume: 14
Issue: 6
Page: 4418-4431
Publish at: 2025-12-01

Prospective teachers’ views on faculty members as content creators

10.11591/ijere.v14i6.33250
Seyithan Demirdağ , Anang Widhi Nirwansyah , Aji Heru Muslim , Bimo Bramantio
This study examines prospective teachers’ perceptions of faculty members as content creators in higher education, with a focus on how content development impacts effective teaching and learning. Using a qualitative descriptive phenomenological approach, the research explores the experiences of 26 senior students from diverse academic backgrounds at a university in Northwestern Turkey. The participants were selected through maximum variation sampling, representing fields such as special education, elementary education, science, social studies, preschool, and mathematics teaching. The findings reveal that prospective teachers value faculty members’ use of technology to create engaging, personalized learning experiences. Faculty expertise in digital content creation and contemporary teaching tools plays a key role in shaping students’ pedagogical development and boosting their confidence. However, challenges such as varying technological proficiency levels hinder some prospective teachers from fully integrating content creation into their future teaching practices. The study underscores the importance of faculty expertise and technological competence in teacher preparation. It advocates for comprehensive professional development programs to enhance educators’ content creation skills and encourages collaborations between faculty and technology experts to develop effective educational content. The study calls for addressing technological adoption barriers and equipping prospective teachers with necessary skills for effective 21st-century teaching. Future research should build on these findings with quantitative methods to further explore students’ perspectives on content creation.
Volume: 14
Issue: 6
Page: 4796-4811
Publish at: 2025-12-01

From family to classroom: mediating roles in promoting social and emotional learning among early adolescents

10.11591/ijere.v14i6.35535
Pantipa Thiamta , Suntonrapot Damrongpanit
This research aims to examine the influence of authoritative parenting (PAREN), cooperative learning (COOP), school environment (ENVI), positive classroom climate (CLASS), and extrovert personality (EXTRO) on social and emotional learning (SEL), as well as analyze the complexity of mediating variable roles linking these factors. The sample consisted of 684 lower secondary school students from the upper northern region of Thailand. Questionnaires were used for data collection, and analysis was conducted using partial least square structural equation modeling (PLS-SEM) technique. Research findings revealed complex structures among factors collectively explaining 67.37% of SEL variance. PAREN emerged as the most powerful driving force followed by school factors, namely COOP and CLASS, which demonstrated strong interconnection while ENVI showed only indirect influence through EXTRO. Furthermore, CLASS and EXTRO functioned as significant mediating variables between classroom factors and SEL. However, EXTRO did not play a mediating role in the relationship between parenting and SEL, reflecting that family influence remains the primary factor determining SEL development in Thai youth.
Volume: 14
Issue: 6
Page: 4916-4927
Publish at: 2025-12-01

Development of a hydraulic jack system bending tool for improved manufacturing efficiency

10.11591/ijaas.v14.i4.pp1072-1082
Muhammad Arsyad Suyuti , Rusdi Nur , Ahmad Nurul Muttaqin , Arminas Arminas , Zainal Sudirman
This article presents the design, fabrication, and testing of a hydraulic sheet metal bending tool. The main objective was to create a tool capable of bending sheets of various thicknesses, ranging from 2 to 4 mm, with high precision and minimal operator effort. The design incorporates a hydraulic ram for easy operation, allowing multiple plates to be bent in a short period of time. Key calculations, including bending force, spring load, and hydraulic force, are performed to ensure the efficiency and safety of the tool. Experimental results show that the tool is able to achieve the desired bending angles, with minimal spring return, and can handle up to three 10 cm wide sheets in approximately 10 minutes. The performance of the tool has been proven by tests, and the results confirm that it can meet the requirements of industrial sheet metal bending. Based on these results, the tool demonstrates its effectiveness in small and medium-scale operations, providing a cost-effective solution for sheet metal production.
Volume: 14
Issue: 4
Page: 1072-1082
Publish at: 2025-12-01

The level of scientific research skills of the biology students in the Philippines

10.11591/ijere.v14i6.34323
Chillet G. Credo , Justin Vianey M. Embalsado , Jed V. Madlambayan , Rich Paulo S. Lim , Maica S. Pineda , Ricardo C. Salunga , Arnel A. Diego , Tracy John A. Credo
Scientific research is essential in advancing human knowledge and in driving technological advancements. Students in the bachelor of science in biology program are expected to accomplish scientific research as a curriculum requirement. Possessing scientific research skills is essential for producing high-quality research outputs. A scale for assessing scientific research skills among senior high school students is available, however, there is an instrumentation gap in evaluating these skills at the tertiary level. In this regard, a research gap also exists in the assessment of students’ scientific research skills. Confirmatory factor analysis (CFA) using the JAMOVI software was utilized to establish the validity and reliability of the scientific research skill scale. The study included 133 officially enrolled biology students who voluntarily agreed to participate. The results provided compelling evidence that the tool effectively assesses scientific research skills in three key areas: scientific information development skills, scientific research management skills, and scientific research processing skills. This also affirmed the relevance of the three key areas in the biology program. The results also revealed that the level of scientific research skills of the students is on the average level across all three areas. This reflected an existing issue in the field of scientific research as mastery of skills is crucial in producing quality output, hence the study has significant implications for curriculum developers and policymakers of higher education institutions. There is a need to revisit the curriculum and to incorporate opportunities to enhance scientific research skills across various science subjects.
Volume: 14
Issue: 6
Page: 4517-4527
Publish at: 2025-12-01

Enhancing quality education with 5Ds design thinking-innovative pedagogy for creative planning in cultural projects

10.11591/ijere.v14i6.33858
Shiyong Zhang , Poonsri Vate-U-Lan , Panneepa Sivapirunthep
This quantitative study addressed the declining interest of young people in traditional culture and the lack of empirical evidence on innovative pedagogies to enhance student engagement and academic achievement. The research examined the efficacy of a novel 5Ds design thinking-based pedagogy—discover, define, design, develop, and deploy—in enhancing students’ design thinking mindsets and academic performance in cultural project planning. The study was conducted at Shanxi University of Finance and Economics and compared the average scores of an experimental group with 42 students (EG, n=42) and a control group (CG, n=37) from five classrooms with 194 students. The EG actively engaged with the 5Ds pedagogy, progressing through each stage to collaboratively develop cultural projects, while the CG received traditional instruction. Utilizing a 30-item design thinking mindset measurement (DTMM) scale and an 88-question achievement test, the study revealed significant improvements in the EG’s human-centeredness and mindfulness. Post-intervention academic achievement scores were substantially higher in the EG (M=60.09) compared to the CG (M=47.54), with a significant difference (t=-12.114, p<0.001). These findings demonstrated the effectiveness of the 5Ds pedagogy in enhancing critical thinking, adaptability, and creativity, providing compelling evidence for integrating design thinking methodologies into higher education curricula to reinvigorate cultural education and improve student engagement.
Volume: 14
Issue: 6
Page: 4663-4676
Publish at: 2025-12-01

Quantum-inspired magnetic resonance imaging sequence optimization for detecting neurological diseases

10.11591/ijaas.v14.i4.pp1208-1216
Kotichintala Venkata Narasimha Savan Kumar , Nitin Kumar
According to a research study by the National Institutes of Health, India, a magnetic resonance imaging (MRI) holds 89% diagnostic accuracy for acute stroke, while a computed tomography (CT) holds only 54%. Means there is still 11% area of improvement for accuracy measures required and there is 84% specific in identifying nerve enlargement. The possible solution is to use quantum computing; this is new era of technology in advanced design and implementation for computing techniques as compared with that of classical computers. With the goal of improving patient care, this is the area-of research using quantum technology to solve the neurological disorders. MRI and Microsoft’s quantum-inspired algorithms to enhance approach to detecting neurological disorders. To improve accuracy of MRI results in less time, an approach called magnetic resonance fingerprinting (MRF) was explored. This paper mainly focused on optimizing the sequence using Microsoft azure simulator. By generating an optimized pulse sequence and map to the accurate predefined patterns, able to create a solution that improves the diagnostic capability of MRI. Conventional computers will take long time to predict, but accuracy may alter. The proposed quantum-inspired optimization improved MRI diagnostic accuracy up to 92%, with faster sequence optimization compared to classical methods. This simulation-based proof of concept demonstrates potential for enhanced neurological disease detection while acknowledging current limitations such as simulator dependency and limited datasets.
Volume: 14
Issue: 4
Page: 1208-1216
Publish at: 2025-12-01

Application of artificial intelligence by university students: Chinese case

10.11591/ijere.v14i6.34753
Liudmyla Holubnycha , Tetiana Besarab , Tetiana Fomenko , Yaroslav Сhernonkov , Iryna Hontarenko , Tetyana Koshechkina
The problem of artificial intelligence (AI) use is crucial for understanding how AI creates new opportunities in education. It is proposed an approach designed to elicit precise responses regarding the students’ practical application of AI. The purpose of the research is to investigate Chinese students’ attitude to using AI that affect learning activities. The research design employed the methods of questionnaire and calculating. The questionnaire consisted of questions about using AI for different tasks, assignments, activities. The study was conducted in 2024. The research participants were 187 bachelor students from Shangqiu Normal University in China. A sampling technique was used as the students were selected based on their willingness to participate in the survey. The key findings are: over half of Chinese students use AI for presentations, essays, and projects, while a notable minority do not. More students use AI for professors’ tasks. The highest AI use is for homework. Fewer than half rely on AI for exam preparation, favoring traditional study methods. The conclusion is students in China tend to rely more on AI for routine or repetitive tasks. It is recommended to focus on developing AI literacy programs that guide students in the effective use of AI.
Volume: 14
Issue: 6
Page: 4244-4253
Publish at: 2025-12-01

Advancements in electric vehicle safety and charging infrastructure

10.11591/ijaas.v14.i4.pp1332-1339
Debani Prasad Mishra , Rudranarayan Senapati , Nisha Kedia , Sanchita Sahay , Raj Alpha Swain , Surender Reddy Salkuti
In electric vehicles (EVs), safety measures must be taken to prevent dangerous accidents. Safety regulations must be in place for two important things: electric or EV batteries and EV equipment. Operating an electric vehicle charging stations (EVCS) is a challenging task. This holistic approach is used to evaluate when renewable energy is produced. It's best to focus on the popularity of EVs as more and more people choose this mode of transportation. It is important to know that power plants can be risky. Therefore, safety issues related to EV charging must be addressed quickly and appropriately. Potential safety issues with EVs include overcurrent, ground faults, and overheating. If the charging system does not work, the electric car's battery may heat up and catch fire, and overcharging may cause other problems. To avoid security risks, you must comply with security regulations, use payment devices that meet security requirements, and follow the manufacturer's instructions.
Volume: 14
Issue: 4
Page: 1332-1339
Publish at: 2025-12-01

New approach of the neighborhood structure of fuzzy points

10.11591/ijaas.v14.i4.pp1083-1088
Amer Himza Almyaly , Jwngsar Moshahary
This paper provides a comparative analysis of the fuzzy Q-neighborhood and the fuzzy neighborhood system of a fuzzy point. Specifically, we investigate the relationship between the elements of these systems when both are defined at the same fuzzy point. We address questions such as: how are these elements interconnected, and which system contains the other? Furthermore, we give the dual of the fuzzy Q-neighborhood system, which is named the fuzzy DQ-neighborhood system, and prove that these two systems are not equivalent. Finally, we examine the properties of these systems to determine whether they satisfy the conditions of fuzzy topology, Supra topology, or filter theory.
Volume: 14
Issue: 4
Page: 1083-1088
Publish at: 2025-12-01

The fundamental context of SEL for early childhood student teachers in private higher education institutions

10.11591/ijere.v14i6.34818
Yupawadee Promsatien , Ariyabhorn Kuroda , Suwadee Aerarunchot , Sungwean Pinagalang
This research examined the learning needs and the current social and emotional conditions of early childhood student teachers in private higher education institutions. The sample group responding to the questionnaire comprised 343 undergraduate students majoring in early childhood education. The target group for interviews included nine participants, which consisted of 3 deans, 3 department heads, and 3 lecturers. The research instruments consisted of a questionnaire on the state and needs of social and emotional learning (SEL) and an interview guide on the current social and emotional conditions of early childhood student teachers. The data were analyzed using percentage, mean, standard deviation, and content analysis. The findings revealed that the state of learning among pre-service teachers was at a low level, while their learning needs were high. Furthermore, the current conditions indicated that pre-service teachers require enhanced SEL opportunities. Activities fostering such learning should be designed, including group work, experiential learning, listening to others, and engaging in discussions.
Volume: 14
Issue: 6
Page: 4254-4263
Publish at: 2025-12-01

Influence of potassium bromide phosphor on optical properties of white light-emitting diodes

10.11591/ijaas.v14.i4.pp1359-1366
Pham Hong Cong , Nguyen Thi Phuong Loan , Nguyen Doan Quoc Anh , Hsiao-Yi Lee
Conventional phosphor-converted light-emitting diodes (LEDs) using silicone binders often suffer from yellowing, moisture degradation, and limited spectral tunability, restricting their performance in high-power street lighting. To overcome these limitations, this study aims to develop an advanced LED illumination system integrating a KBr-doped sol-gel/silica phosphor with total internal reflection (TIR) lenses and a reflective housing, encapsulated by an atomic layer deposition (ALD)-coated minilens panel. The sol-gel matrix, synthesized from MTEOS, TEOS, and silica granules, was engineered to achieve uniform KBr particle dispersion, reduced thermal quenching, and improved chromatic stability. The ALD laminate provides an additional moisture and heat barrier, sealing micro-defects and minimizing stress-induced cracking. Optical performance was quantitatively assessed using Monte Carlo beam-tracking simulations under various street configurations, including focal, zigzag, and single-plane pole layouts. Results demonstrated enhanced luminous efficacy, precise glare control, and high uniformity in street illumination. Overall, this integrated sol-gel/ALD LED design effectively addresses the durability and color instability problems of traditional silicone systems, offering a scalable and energy efficient solution for next-generation street lighting.
Volume: 14
Issue: 4
Page: 1359-1366
Publish at: 2025-12-01
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