International Journal of Scientific and Applied Research (IJSAR), eISSN: 2583-0279
The International Journal of Scientific and Academic Research (IJSAR) is a scholarly peer-reviewed, open-access multidisciplinary journal for the publication of new ideas, state-of-the-art research results, and fundamental advances in all fields of <span style="color: rgba(0, 0, 0, 0.87); font-family: 'Times New Roman', serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">Natural Sciences, Engineering Science, and Academic Research like <span style="box-sizing: border-box; color: rgba(0, 0, 0, 0.87); font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; font-family: 'Noto Sans', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif; float: none; display: inline !important;">Pedagogical Sciences, Economic Sciences, & Management. Science. The IJSAR started in 2021, and registered the title in the ISSN India office: eISSN 2583-0279. The journal IJSAR is registered in CrossRef DOI with the prefix 10.54756/IJSAR. The vision of IJSAR is to publish original articles, and review papers. IJSAR brings together Scientists, Academicians, Engineers, Scholars, and Students of Science, Engineering, and Technology. The journal accepts submissions / publishes articles in English. List of Subject Areas Natural Sciences: Physical, Chemistry, Biology, Health Sciences, Mathematics, Statistics, Agricultural Science Engineering and Technology: Computer and Information Technology, Civil Engineering, Chemical Engineering, Electrical and Electronics Engineering, Mechanical Engineering, Industrial Engineering, and related branches. Social Science: Academic Research in Education, Anthropology, Economics, Geography, Psychology, Political Science, Sociology. Management Science: Accounts and Auditing, Business Administration & Management, Financial Management, Financial Management
The Role of Automation in Enhancing Efficiency and Accuracy in SEAIT’s School Clinic
This study examined the role of automation in improving workflow efficiency and record accuracy in the SEAIT School Clinic through the implementation of the SEAIT School Clinic Management System (SSCMS). Employing a mixed-method design, the research integrated quantitative and qualitative data collection through structured surveys, focus group discussions, and system evaluation. The quantitative analysis, including descriptive statistics, paired sample t-tests, and Pearson correlation, revealed a significant increase in workflow efficiency and record accuracy following automation (p < 0.05). The qualitative findings supported these results, highlighting improvements in documentation, report generation, and access to patient records. Participants emphasized that automation reduced manual workload, minimized human error, and enhanced overall service quality, although challenges such as limited training, data privacy, and infrastructure constraints were also noted. The study, grounded in the Technology Acceptance Model (TAM), demonstrated that perceived usefulness and ease of use significantly influenced system adoption and satisfaction among clinic staff. The findings underscore the transformative potential of automation in school healthcare environments, offering insights for future digitalization initiatives aimed at optimizing operational efficiency, accuracy, and user experience in educational health systems.
Copyright (c) 2025 Kathleen Nicole Oliva, Raiyennelou M Roda, Liezl Jane G Arreglado, Ian Vincent C Ligaya, Alexandra Ann Rochelle D Pangan, Jack Lester T Casiano, Carol Kate Estacio, LPT https://creativecommons.org/licenses/by-nc/4.0
Anxiety and Depression Mental Health Factors: Predicting At-Risk Individuals using Supervised Learning Techniques
Mental health is a crucial component of human well-being, yet conditions such as anxiety and depression continue to affect individuals globally, often remaining undetected due to stigma and limited access to care. This study applies supervised machine learning techniques to predict individuals at risk of anxiety and depression using the Anxiety and Depression Mental Health Factors dataset sourced from Kaggle. The dataset consists of 1,200 survey responses encompassing demographic, lifestyle, medical, and psychosocial variables. Data preprocessing involved normalization, factor conversion, and the creation of binary “High” and “Low” risk labels based on a threshold score of 12, aligned with established clinical measures such as PHQ-9 and GAD-7. Three supervised learning models—Random Forest, Decision Tree, and Naive Bayes—were developed using an 80:20 train-test split and 5-fold cross-validation. Among these, the Random Forest model performed best, particularly in predicting depression (F1 = 0.473, Recall = 0.452, AUC = 0.545). Anxiety prediction, however, exhibited weaker performance across all models, indicating potential limitations in feature diversity or data balance. Feature importance analysis identified stress level, sleep hours, financial stress, and social support as significant predictors of mental health risk. The findings suggest that while machine learning models show promise in supporting early mental health detection, their accuracy depends heavily on data quality and feature representation. Future work may incorporate more comprehensive datasets and hybrid model approaches to strengthen predictive performance and support data-driven mental health interventions.
Copyright (c) 2025 Kathleen Nicole D. Oliva https://creativecommons.org/licenses/by-nc/4.0
5G is the promise of a tetherless world. It often tops the list of the many up-and-coming technologies discussed today. Innovators and technologists are investigating its potential across numerous industries, and one of the most prominent industries to come up is the media and entertainment industry. 5G technology is set to revolutionize the media and entertainment industry by enabling faster data transfer speeds and lower latency, leading to enhanced streaming quality, immersive experiences, and new content creation possibilities. As media and entertainment businesses explore 5G's potential, they are focusing on promising use cases in four areas: immersive and interactive media, streaming, live and remote productions. By unleashing the power of private 5G networks, media and entertainment studios can leverage the agility, speed, and security needed to ride the next wave of cutting-edge use cases. This paper explores several applications of 5G in the media and entertainment industry.
Copyright (c) 2025 Matthew N. O. Sadiku, Samuel A. Ajayi, Janet O. Sadiku https://creativecommons.org/licenses/by-nc/4.0
Artificial Intelligence in Media and Entertainment
The media and entertainment sector has long been a crucible of innovation, continually dazzling audiences with cutting-edge technology. Today, artificial intelligence (AI) pushes those boundaries even further, poised to reshape every stage of the value chain, from content creation to distribution and consumption. Armed with capabilities such as predictive analytics, recommendation engines, customer-journey mapping, and granular audience segmentation, AI has emerged as a true blockbuster force redefining industry dynamics. This paper explores the most compelling AI use cases now transforming media and entertainment and considers their broader implications for creators, distributors, and consumers alike.
Copyright (c) 2025 Matthew N. O. Sadiku, Samuel A. Ajayi, Janet O Sadiku https://creativecommons.org/licenses/by-nc/4.0
Product Quality Control to Minimize Defects Using the Six Sigma Method in Labor Intensive Industries
PAIG is a manufacturing company that produces footwear components, especially the upper part, which receives orders only from one of the world's brands and will not be produced if there is no order from the brand. The problem is that the upper quality produced by PAIG in January-November 2023 has a higher defect than the target set by management. This impacted the high demand for additional materials and became wasteful due to the time-consuming re-production, which ultimately resulted in delays in the delivery of previously agreed orders. This research aims to analyze the quality of products made by PAIG using the Six Sigma method and reduce the number of defective products currently occurring in the company. Six Sigma quality control uses the DMAIC (Define, Measure, Analyze, Improve, and Control) stages to determine the characteristics of product defects, factors that cause product defects, and improvements to the factors that cause product defects. By using the DMAIC stage, it is known that the types of defective products are divided into four categories, with the largest category being defective components, while PAIG's sigma level is 4.19, which states that there are only 323 pairs of defective products for every 1 million pairs of upper produced. The analysis of this research shows that PAIG needs a standard operating procedure (SOP) to minimize defective products in each process.
Copyright (c) 2025 Sakti Aji Lesmana, Novera Elisa Triana https://creativecommons.org/licenses/by-nc/4.0
Efforts to Accelerate Stunting Reduction
Stunting is a form of growth failure that causes linear growth disturbances in toddlers due to the accumulation of long-term nutritional deficiencies, starting from pregnancy until the age of 24 months.Karangasem Regency has the highest prevalence of stunting in Bali Province, which is 6.7%. This figure indicates that the stunting issue is very serious in Karangasem Regency and requires very rapid and focused intervention efforts. This research aims to describe and analyze the implementation of policies for accelerating the reduction of stunting based on the Karangasem Regent Regulation Number 35 of 2019 concerning the Integrated Stunting Mitigation Movement, as well as to describe and analyze the supporting and inhibiting factors in the implementation of policies for accelerating the reduction of stunting based on the Karangasem Regent Regulation Number 35 of 2019 concerning the Integrated Stunting Mitigation Movement. This type of research is a qualitative descriptive study with a policy implementation model using George C. Edward III's implementation theory, focusing on the indicators of communication, resources, disposition, and bureaucratic structure. Data collection techniques used include interviews, observations, and documentation. In- depth interviews were conducted with implementers in an effort to accelerate the reduction of stunting. Next, the data analysis used is Moleong's data analysis. The results of this study indicate that the efforts to accelerate the reduction of stunting are in accordance with Karangasem Regent Regulation Number 35 of 2019. Communication was conducted through radio broadcasts, social media, and face-to-face meetings. Although the communication conducted is quite evenly distributed, there are challenges arising from the mothers' level of knowledge, culture, and the community's language proficiency, which are still lacking. The Karangasem Regency Government has supported the program by providing facilities, transportation, and operational support. However, the limitations in human resources and the difficult reach in remote areas still need to be addressed. The Stunting Acceleration Team in Karangasem Regency has been equipped with technical guidelines and SOPs that can strengthen field implementation. The support of SOPs and appropriate regulations has shown good results with a decrease in stunting rates year by year.
Copyright (c) 2025 I Gusti Agung Ayu Cintya Paramita Panji , Kridawati Sadhana, Dwi Suharnoko https://creativecommons.org/licenses/by-nc/4.0
Development Planning Deliberation Based On Priority Scale
Development planning is a process of formulating alternatives or decisions based on facts that are used as materials to carry out a series of community activities in order to achieve better goals in a planned manner for the welfare of the people. One of the series of regional development planning that must be passed is the Development Planning Conference which is one of the processes in the framework of preparing the Regional Government Work Plan. In Sawojajar Village, the implementation of the Development Planning Deliberation has been guided by the Circular Letter of the Mayor of Malang Number 20 of 2023 concerning Guidelines for the Implementation of the 2024 Development Planning Deliberation. However, in its implementation, there are still proposals that are not in accordance with the proposal dictionary, where in 2024 there are 2 (two) proposals that do not match the dictionary, and 18 (eighteen) proposals are not in the proposal dictionary. Therefore, the purpose of this study is to describe and analyze the implementation of policies based on the Circular Letter of the Mayor of Malang Number 20 of 2023 concerning guidelines for the implementation of Development Planning Consultation in Sawojajar Village, and to examine the supporting and inhibiting factors in the implementation of these policies. This research approach is descriptive- qualitative with data analysis technique using interactive model according to Miles, Huberman and Saldana. Research results: 1. Communication: that communication has been carried out intensely between implementers and implementors, but there has never been a socialization that presents all stakeholders who are an important part of the proposed development planning deliberation, 2. Resources: the resources available are sufficient to support the implementation of the policy, but there is still a shortage of personnel in the village who assist in the implementation of Development Planning deliberations and there is no information system used to submit proposals from village community institutions, 3. Disposition: each executor has responded to the mayor's circular and perform their duties properly, 4. Bureaucratic structure: the distribution of tasks has been done and well described, coordination between implementers also runs according to their duties and authorities.
Copyright (c) 2025 Eky Wahyu Saputri, Agus Sholahuddin, Roos Widjajani https://creativecommons.org/licenses/by-nc/4.0
Rehabilitation Program for Children with Disabilities
People with disabilities are an integral part of society, and have the same rights and obligations. However, the reality is that there is still a lot of discriminatory treatment in the community that underestimates people with disabilities. This perception greatly affects the mentality and condition of persons with disabilities. Persons with disabilities also experience various socio-economic risks, limited access to information, access to employment, access to education, access to health, and others. In order to provide protection and equal rights for persons with disabilities, a treatment is needed to increase independence and welfare for persons with disabilities. One way to overcome this is to provide rehabilitation, both educational rehabilitation, medical rehabilitation and social rehabilitation. This research aims to describe and analyze the policy implementation of rehabilitation programs for children with disabilities at the Foundation for the Development of Disabled Children (YPAC) Malang based on Malang City Regional Regulation Number 2 of 2014. The research method used is descriptive qualitative using the implementation model according to George Edward III which consists of 4 (four) indicators, namely communication, resources, disposition and bureaucratic structure. Data collection techniques using interviews, observation and documentation methods. Data analysis used the Miles, Huberman and Saldana method. The results showed that the implementation of the rehabilitation program policy for children with disabilities at the Disabled Children Development Foundation (YPAC) Malang based on Malang City Regional Regulation Number 2 of 2014 was carried out in an integrated manner in three types of rehabilitation, namely educational rehabilitation, medical rehabilitation and social rehabilitation. This can be seen in the four indicators of implementation according to George Edward III, namely communication, resources, disposition and bureaucratic structure. However, there are obstacles in the consistency of providing assistance and socialization that are less integrated because they are more focused on each type of rehabilitation, limited budget funds, limited improvement in the ability and skills of human resources to handle rehabilitation. The solution is to gather everyone related to children with special needs in a community / forum so they can exchange ideas, innovations, motivation and solutions to the problems encountered. Then develop cooperation with a partnership pattern with various parties, and improve monitoring and evaluation of the implementation of the rehabilitation program.
Copyright (c) 2025 Tasyakurnia Laili Putri , Praptining Sukowati , Dwi Suharnoko https://creativecommons.org/licenses/by-nc/4.0
Implementation of the Small and Medium Industry (SMI) Product Standardization Program
Standardization is the process of adjusting the shape, size, quality, with guidelines set to produce standardization. Standardization is defined as an effort to maintain product quality and business efficiency. This type of research is a qualitative descriptive research with policy implementation model using Marilee s implementation theory. Grindle which focuses on 4 parts, namely socialization,coaching, mentoring, and product assessment. Data collection techniques using interviews, observation and documentation. And data analysis techniques used refer to the opinion of Biklen and Bogdan quoted Moleong (2000: 90) The results of this study indicate that the implementation of small and medium industrial product standardization program is in accordance with Pergub East Java No. 60 of 2018. Socialization conducted through social media and direct meetings proved effective in providing an understanding to SMI actors about the importance of certification and product quality standards. In addition, the Technical Implementation Unit (UPT) has served as a facilitator who provides relevant technical training, quality management, and the use of creative technology insight into innovation and the use of the latest technology that can improve the competitiveness of SMI products in the market, provide assistance in the submission of standardization and implementation of product quality standards, build capacity and confidence in, and conduct testing of products to ensure that products produced by SMI actors meet the established quality standards, including safety tests and halal certification. However, there are still SMI that have not followed standardization, both for reasons of limited funds and low motivation. Thus, Implementation Of Product Standardization Program Small And Medium Industries (SMI) requires intensive, planned and measured handling and synergy between the government and business actors.
Copyright (c) 2025 Ni Putu Rani Pradnya Paramita, Kridawati Sadhana, Dodot Sapto Adi https://creativecommons.org/licenses/by-nc/4.0
Regional Innovation Index in Malang District
The central government, through the Ministry of Home Affairs, annually inventories innovation reports from all regional governments, including provinces, cities/districts throughout Indonesia. The quality and quantity of the reporting results are measured to determine the Regional Innovation Index (IID). Malang Regency experiences fluctuations in both the value and ranking of its Regional Innovation Index. To analyze these conditions, this research uses a descriptive - qualitative method, by collecting data through interviews and document review. Data analysis uses interactive methods according to Miles, Huberman and Saldana. The research results show that Malang regency until 2024 is included in the highly innovative category based on the assessment of the Innovative Government Award (IGA) although the number of values and the order of ranking fluctuates. However, there are still limitations related to the understanding of standards and policy targets, limited resources both Labor, budget and infrastructure; the absence of innovation teams specifically in Malang regency that design / accompany innovation planning to the evaluation of the Related Continuity and impact; the commitment and motivation of the implementers are diverse; there is communication in the form of socialization/technical guidance/assistance on a regular basis, also using various media as communication and information channels, either through whatsapp groups, personal or group consultations, and coming directly to Balitbangda Malang regency. This requires initiative, commitment and good cooperation between regional devices, as well as the intervention of local governments (regional leaders) in the implementation of innovation, monitoring and evaluation on a regular basis.
Copyright (c) 2025 Ira Sistrantiani, Bonaventura Ngarawula, Yustina Ndung https://creativecommons.org/licenses/by-nc/4.0
Legal Aid Provision Program For Poor Communities
Poverty affects a person's access to justice. The legal aid program for the poor is one of the government's efforts to realize equal rights for all its citizens, especially disadvantaged people, to obtain their rights before the law. This research aims to describe and analyze the implementation of the program policy for providing legal aid for the poor based on Regional Regulation Number 9 of 2021 concerning Legal Aid for the Poor in Malang City. The research method used is descriptive qualitative using the implementation model according to Merilee S. Grindle, namely policy content variables which include 5 (five) aspects, namely the type of benefits produced, the degree of change desired, the position of the policy maker, (who) is implementing the program. , and the resulting resources; and the Policy Context variable which includes 3 (three) implementation contexts, namely power, interests and strategies of the actors involved, characteristics of authorities and institutions, compliance and responsiveness. Data collection techniques use interview, observation and documentation methods. Data analysis using interactive methods according to Miles, Huberman and Saldana. The research results show that the implementation of the Legal Aid for the Poor program policy can overcome economic obstacles, strengthen the position of the poor before the law so as to create equality in legal treatment, and strengthen public trust in local government, but also increase legal awareness among the poor. The success of this Legal Aid program is supported by the intensity of outreach carried out by collaborating with various parties and using various media including social media and digital applications. For this reason, the Malang City Government provides a budget for legal assistance for underprivileged communities by collaborating with various parties, especially Legal Aid Institutions which have formal legality and are accredited. This shows the government's commitment and seriousness to serve the community in an excellent manner. This program is clear evidence that the Regional Government plays an active role in protecting the rights of the poor and ensuring that they are not marginalized in the legal system, realizing more inclusive and equitable social justice in Malang City. Suggestions and recommendations: providing legal education to the public, simplifying the requirements for granting legal aid applications, adding work team members to help carry out verification of legal aid applicants.
Copyright (c) 2025 Liana Budiani, Bona Ventura Ngawarula, Roos Widjajani https://creativecommons.org/licenses/by-nc/4.0
Analyzing Teaching Performance of Instructors Using Data Mining Techniques
To identify trends into instructor effectiveness, this paper utilizes data mining techniques on student evaluations of teaching quality. PCA and clustering were employed to identify distinct response patterns and underlying constructs in a set of student-faculty ratings on multiple performance dimensions. Three categories of students with different patterns in evaluation emerged using K-means clustering presenting consistent and inconsistent evaluations of teachers. PCA further reduced dimensionality by extracting a single criterion and examining the main variation in the data in a single predominant component that reflected standard evaluation biases. The results provide an evidence-based perspective on teaching quality, and identify specific strengths, and opportunities for improvement. This provides the basis for faculty development and evidence-based decision making in higher education.
Copyright (c) 2025 Fernandez, Mary Joy M, Prudente, Reginald S. https://creativecommons.org/licenses/by-nc/4.0
The Placebo Effect: Decoding the Mind-Body Connection on Selected Female Participants in Sharjah
Research on the validity of the placebo effect in clinical settings with medical professionals is well established; however, less is known about how its success rate varies and to what extent perceived relief is influenced when professionalism and expertise are eliminated, and trust in the provider becomes the primary factor. This study investigates the efficacy of the placebo effect when typical clinical conditions—namely provider expertise and status—are absent. Specifically, it examines the limitations of the placebo effect when inert and active medications are administered by non-medical individuals, such as peers, who are trusted to varying degrees by the participants. Both a quantitative and qualitative approach was used; the participants were categorized into low trust and high trust groups based on a scenario-based questionnaire. They later received either an active or placebo medication upon request and reported their perceived relief and feedback via a follow-up questionnaire. A dual-method approach, combining statistical testing (paired and independent t-tests) for quantitative data and thematic analysis for qualitative responses, provided a comprehensive understanding of how trust influences the placebo effect in a non-medical experimental setting. Results indicated that participants with high trust in the provider exhibited greater positive responses to both real and placebo drugs, whereas those with low trust were more likely to report no improvement or adverse effects. These findings suggest that trust—whether in professional qualifications or social bonds—plays a key role in enhancing the placebo effect.
Copyright (c) 2025 Marah B. Sallouh, Zainab U. Al Mizban https://creativecommons.org/licenses/by-nc/4.0
The fifth generation of wireless technology, or 5G, is the latest and most advanced wireless communication technology that offers faster Internet speeds, lower latency, and higher capacity than its predecessors. 5G is the 5th generation mobile network. 5G technology opens up many opportunities for mobile communication. 5G uses higher frequencies and a much broader portion of the radio spectrum than previous generations, which allows it to send more data more quickly and to more devices. With the promise of faster and more reliable connectivity, 5G is poised to transform the way we communicate, work, and live. 5G technology offers a solution to problems that plague warehousing logistics and supply chains around the globe. This paper explores the potential impact 5G on supply chains.
The Development of Critical Thinking as the Primary Goal of the Educational Process
This study examines the different approaches to integrate critical thinking into schooling. The study emphasises critical thinking's role in student intellectual progress and flexibility. Students must think critically to assess information, examine several perspectives, and make educated decisions in an ever-changing educational environment. Critical thinking in the classroom can improve student learning and prepare them for future challenges. This paper gives a complete foundation for applying this method. Due to the rising complexity of the world's concerns, critical thinking education is needed more than ever. Critical thinking may transform the classroom, creating well-versed, creative, and ethically upright students. This study aims to demonstrate how critical thinking can do this. Critical thinking is essential in science, technology, the humanities, and the social sciences. This study emphasises critical thinking in 21st-century education to contribute to the discussion about instructional practices and curriculum development. This study found that encouraging critical thinking in the classroom may help students become more engaged, thoughtful, and active learners. Educational institutions are increasingly emphasising critical thinking to prepare students for a dynamic and unpredictable world. The students and society will gain from this positive effect.
Copyright (c) 2025 CHANDRAMOULESH G K https://creativecommons.org/licenses/by-nc/4.0
Schizophrenia Diagnosis and Prediction with Machine Learning Models
Schizophrenia is a multifaceted mental disorder with varying levels of proneness, making accurate classification essential for early intervention and effective management. This study investigates the application of machine learning techniques to classify schizophrenia proneness levels based on behavioral and demographic features, including age, fatigue, slowing, pain, hygiene, and movement. Using a dataset of 1,000 samples categorized into five levels of proneness—Elevated, High, Moderate, Low, and Very High—we evaluated the performance of Logistic Regression, Support Vector Machine (SVM), Gradient Boosting, and Decision Tree classifiers. Among the models, Logistic Regression achieved the highest accuracy of 94.2%, demonstrating its effectiveness in capturing feature relationships and its suitability for datasets with linear or near-linear patterns. SVM is closely followed with an accuracy of 93%, showcasing its robustness in handling high-dimensional data and non-linear relationships. Gradient Boosting achieved an accuracy of 88.1%, indicating its ability to model complex patterns through iterative corrections, while the Decision Tree, with an accuracy of 75.6%, served as a baseline, reflecting the limitations of single-tree models for complex datasets.
Copyright (c) 2024 Faezeh Norouzi, Bruna Lino Modes Santos Machado, Shervin Nematzadeh https://creativecommons.org/licenses/by-nc/4.0
Transforming Gynecology with Artificial Intelligence: Advances in Clinical Practice
Artificial Intelligence (AI) revolutionizes gynecology by enhancing diagnosis, prediction, and treatment. This review explores AI applications in early pregnancy complication prediction, fetal health monitoring, gynecological cancers (cervical and ovarian), and embryo selection in IVF. Machine learning models analyze patient data, imaging, and biomarkers to predict risks such as pre-eclampsia, detecting fetal distress, improve cervical cancer screening, and enable early ovarian cancer diagnosis. AI-driven methods for embryo selection automate viability assessment, improving success rates and reducing subjectivity. AI supports evidence-based care by enhancing accuracy and efficiency, though challenges like data privacy and clinical validation remain.
Copyright (c) 2024 Shaghayegh Mahmoudiandehkordi, Maryam Yeganegi https://creativecommons.org/licenses/by-nc/4.0
Transfer Learning and Advanced CNN Models for Detecting Brain Tumors using MRI
This paper explores the efficacy of three advanced deep convolutional neural network (CNN) models; DenseNet, MobileNet, and Xception in classifying brain tumors from MRI scans. Accurate detection and classification of brain tumors are critical for timely medical intervention, and recent advancements in deep learning offer promising tools for this task. We apply each model to a publicly available brain tumor dataset, evaluating their performance in terms of accuracy, sensitivity, specificity, and computational efficiency. The experiments utilize the well-known Brain Tumor Classification dataset, consisting of 3264 MRI images categorized into glioma, meningioma, pituitary tumor, and non-tumor classes. The results demonstrate that each model has unique strengths, with DenseNet showing superior accuracy, MobileNet excelling in computational efficiency, and Xception achieving a balance of both but better than others. The Xception achieved the most suitable performance with an accuracy of 97.6%, sensitivity of 97.9%, precision of 98.5%, specificity of 97.2%, and an F1-score of 97.9%. These results show that Xception excels over other architectures, making it highly effective in classifying abnormal and normal tumors from brain MRI images. Our findings highlight the importance of model selection based on specific clinical requirements and computational constraints and suggest pathways for further research and optimization in medical image analysis.
Copyright (c) 2024 Hossein Abbasi https://creativecommons.org/licenses/by-nc/4.0
The Impact of User Experience on System Accuracy and Exploring with QR Interfaces for Students Safety in Campus office
Quick Response (QR) codes have emerged as versatile technological tools across various domains, including education and safety management. Initially developed for tracking automotive components, these two-dimensional barcodes have evolved to become powerful communication and interaction mechanisms. In campus safety contexts, QR codes offer potential solutions for rapid information dissemination, access control, and emergency response systems. This research investigates the critical relationship between user experience and system accuracy in QR code-based safety interfaces within campus environments. As educational institutions increasingly adopt technology-driven safety solutions, understanding the nuanced interactions between users and QR code systems becomes paramount. By examining how user behavior, interface design, and technological implementation influence system performance, this study aims to provide actionable insights for developing more reliable and user-friendly safety technologies. Through a comprehensive mixed-methods approach, we analyze the factors that contribute to scanning accuracy, user engagement, and overall system effectiveness.
Copyright (c) 2024 Calungsod Abegail, Cardenas Jiffy Rose, Deleverio Ma Grace, Diez Danimae , Mendoza Haymie Marie, Lapasaran Jenlo https://creativecommons.org/licenses/by-nc/4.0
Evaluating the Impact of User Interface Design on the Effectiveness of the Entrance Exam System: A Design Analysis Approach for the Entrance Exam System
This study explores the impact of user interface (UI) design on the effectiveness and user experience of the entrance exam system at South East Asian Institute of Technology (SEAIT). As more educational institutions transition to digital platforms for exam administration, the role of Human-Computer Interaction (HCI) in designing effective, user-friendly interfaces becomes crucial. This research aims to assess how specific UI elements influence usability, task efficiency, and error reduction in the digital exam environment. Using a quantitative methodology, surveys were distributed to 350 first-year students who participated in the entrance exam, gathering data on their perceptions of the system’s layout, navigation, and overall user experience. The findings reveal that while the current system meets basic functional requirements, several aspects such as navigation flow, error prevention, and user confidence in the interface require significant improvement. The study highlights the need for a more cohesive design that integrates visual hierarchy, clear navigation cues, and intuitive task flow. Based on these insights, the research proposes a user-centered design approach to optimize the system, focusing on enhancing user satisfaction and exam efficiency. Additionally, the study emphasizes the importance of accessibility, ensuring the system accommodates a wide range of users, including those with varying technical proficiency and demographic backgrounds. The findings offer valuable contributions to the field of educational technology by providing a framework for designing digital exam systems that prioritize user experience, leading to improved test-taking performance, efficiency, and overall satisfaction.
Error Reduction, Digital Testing Environments
Copyright (c) 2024 Daclison Kezia B, Dela Cruz Archilles D, Omanio, David Roy Xerxes, Real Ejie Harold B, Tubio, Ronel, Valiente Jeff Louie https://creativecommons.org/licenses/by-nc/4.0
Optimizing User Interface and User Experience: Exploring Design Improvements for the School Library System
This study explores the impact of modern User Interface (UI) and User Experience (UX) principles on the effectiveness of a school library system. With advancements in Human-Computer Interaction (HCI) and an increasing emphasis on user-centered design, the current library system, which faces usability challenges and outdated design practices, has become a barrier to user satisfaction and engagement. The research aims to identify specific usability issues and apply UI/UX best practices to enhance the system's functionality, ease of use, and overall user experience. Through usability testing and user feedback, the study evaluates design flaws such as inefficient navigation, poor color schemes, and cumbersome data entry processes, and investigates how their resolution can improve system performance. Findings reveal that incorporating intuitive navigation, clearer labeling, and modern visual elements, such as optimized button sizes and improved color contrast, significantly enhance task completion efficiency and user satisfaction. Despite some lingering response time issues, the research highlights the critical role of UI/UX design in creating more accessible, engaging, and efficient digital platforms, contributing to improved user experiences and overall system effectiveness in library management.
Copyright (c) 2024 Bacalando Elined Eve, Candame Louie Jay, Crodua Chemberlyn, Dorato Marc Nelson, Lagunday Jason, Pamplona Judie Bea, Yunson Kristene https://creativecommons.org/licenses/by-nc/4.0
The Role of Radiology in Enhancing Surgical Precision and Outcomes
Advancements in imaging data analysis have profoundly impacted surgical practices, enhanced precision and improved patient outcomes. This review explores the diverse applications of imaging in surgery, including preoperative planning, intraoperative navigation, postoperative monitoring, and training simulations. Technologies such as CT, MRI, 3D reconstructions, augmented reality (AR), and artificial intelligence (AI) have enabled surgeons to perform more precise and safer interventions. Furthermore, integrating these technologies with surgical workflows has significantly reduced complications and enhanced recovery processes. Future trends, such as personalized surgical approaches and AI-driven imaging solutions, are also discussed, highlighting their potential to shape the future of surgery.
Copyright (c) 2024 Amirmasoud Farahani https://creativecommons.org/licenses/by-nc/4.0
Understanding the Role of OLAP and OLTP in Managing and Interpreting Student Data for SEAIT Scholarship System
This research examines the integration of Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) technologies to enhance the SEAIT Scholarship System. Using qualitative methods, including semi-structured interviews and focus group discussions with administrative staff, the study identifies critical challenges in the current system, such as inefficiencies in real-time data handling, inaccuracies, and limited analytical capabilities. The findings highlight the benefits of integrating OLAP for advanced reporting and OLTP for real-time data processing. This dual approach aims to improve decision-making, optimize resource allocation, and ensure system scalability to meet future demands. The study underscores the transformative potential of combining transactional and analytical technologies within a Human-Computer Interaction (HCI) framework, offering a robust solution to the data management challenges faced by educational institutions.
Copyright (c) 2024 Banaybanay Rose, Bulalaque Claire, Dela Cruz Krishan Aea C, Garzon John Abner, Laraño Ritz, Lloren Kevin Carl T, Patricio Brendyll John J https://creativecommons.org/licenses/by-nc/4.0
Assessment of the Impact of Using Virtual Learning Environment (VLE) on a Teacher’s Engagement in Teaching
This research focuses on understanding how Virtual Learning Environments (VLEs) impact the teaching practices of instructors at the South East Asian Institute of Technology (SEAIT). The study shows that VLEs improve teaching flexibility, organization, and engagement by using tools like online tests and multimedia resources. Teachers feel confident using VLEs, but they also face challenges such as system errors and slow performance. The study uses surveys and statistical methods to measure how often teachers use VLEs and how it affects their teaching. While VLEs provide many benefits, they are not the only factor in teaching success. The research recommends improving VLE systems to make them more user-friendly and effective in enhancing both teacher and student experiences.
Copyright (c) 2024 Kerrby Dizon, Mel Benjamin Montes, Princes Chryslene Hart Rubio, Ian Kyle Samillano, Kyla Tabayan, Johnny Villaflor, Zyann Visande https://creativecommons.org/licenses/by-nc/4.0
Evaluating Patient Satisfaction with Nursing Care and Nurses' Perception about their Patient Care
Introduction: Patient satisfaction with nursing care is a crucial indicator of healthcare quality. However, there is a paucity of research on patient satisfaction with nursing care and nurses' perception about their patient care in Indian hospitals. Methodology: Descriptive research design was adapted for the study. A total of 104 patients and 50 nurses of apollo hospitals Delhi were recruited for the study using convenient sampling technique. Patient satisfaction with nursing care was assessed using a four-point Likert scale of patient satisfaction questionnaire. Nurses' perception about their patient care was assessed using the questionnaire by Nurse Perception Questionnaire. Results: The analysis reveals that the average score per respondent is approximately 19.68, which falls within the range for a positive perception (13-24). Thus, 100% of respondents are satisfied with the nursing care provided. Chi square results suggested that demographic factors like age, comorbidities, and length of stay influence patient satisfaction, while gender does not. Majority of responses of nurses are positive (Agree or Strongly Agree), with percentages ranging from 88% to 100%. This indicates that the nurses hold an overwhelmingly positive perception of the care they provide to their patients. Chi square results suggest that satisfaction levels are influenced significantly by age and experience, but not by education or gender. Conclusion: The study highlights the importance of understanding patient satisfaction with nursing care and nurses' perception about their patient care. The findings suggest that hospitals should prioritize patient satisfaction and nursing quality initiatives to improve patient outcomes and nurse job satisfaction. Discussion: This study indicated that the quality of care, professional-technical communication and information skills and competency, environmental conditions, and not necessarily the patients' sociodemographic background have a major impact on patient satisfaction. Therefore, it is important to increase nurses' awareness and sensitivity to patients' feelings, opinions, autonomy, and right to information.
Copyright (c) 2024 Dr. Maryam Khan, Mrs. Maryline Flinsi https://creativecommons.org/licenses/by-nc/4.0
The Role of User-Centered Design: Assessing the Effectiveness of Virtual Learning Environment (VLE) for BSIT Students
Human-Computer Interaction (HCI) technology is significant because it enhances the usability and satisfaction of digital systems, making them more intuitive and user-friendly. As technology evolves, effective HCI design improves user engagement, satisfaction, and productivity across various domains, from education to healthcare (Shneiderman et al., 2016). User-Centered Design (UCD) is an iterative design process that focuses on understanding the needs, preferences, and limitations of end users at every stage of the design process. The goal is to create products that are highly usable and accessible, enhancing the overall user experience (Norman, D. A., & Draper, S. W., 1986). This research aims to understand how User-Centered Design (UCD) addresses users' needs, behaviors, and preferences to create products that enhance usability and satisfaction, focusing on user interactions with a system to identify pain points and desires, ensuring the final design aligns with expectations and improves the overall experience.032818
Copyright (c) 2024 Casumpang Frank, Catabijan, Vilser, Daque Daynalyn Pama, James Zyrus Pineda, Jhon Michael, Semeniego Noemilyn https://creativecommons.org/licenses/by-nc/4.0
Advances in Imaging Analysis for Understanding Brain Disorders
In this paper, we examine advancements in imaging analysis techniques that have deepened our understanding of brain disorders, using modalities like MRI, fMRI, PET, and DTI to analyze brain structure, function, and connectivity. By transitioning from qualitative to quantitative imaging, including volumetric analysis, cortical thickness, and connectivity mapping, we enable more precise, objective assessments that enhance diagnostic accuracy and treatment monitoring. We also explore the field of radiomics, where high-dimensional data extraction is uncovering imaging biomarkers useful for diagnosis and prognosis. Despite these advancements, challenges such as data variability, complexity, and ethical concerns remain. In this paper, we discuss the importance of standardized protocols, data sharing, and AI interpretability to realize the full clinical potential of imaging analysis, with the ultimate goal of transforming care for brain disorder patients through more personalized approaches.
Copyright (c) 2024 Fatemeh Afrazeh https://creativecommons.org/licenses/by-nc/4.0
Quality Control in Reducing Waste Defects in the Production Process Using the VSM Method in Electronics Component Manufacturing Company
If a company experiences a surge in the number of defects on the Frame Main Raph 322 production line, this is a serious problem that needs to be addressed immediately. The purpose of this study is to ensure the achievement of QTPP (Quality Target Product Profile), namely by knowing the high rate of defects, namely the average for 1 year is 2.5%, namely as many as 725 pcs/year, the largest defect is found, namely in the type of defect Unpos board assy of 39 %. In repairing and improving the production line, it is necessary to identify the causes of waste. Lean Six Sigma integration using the DMAIC, VSM and VALSAT methods is an effective way to determine waste and causes of waste. The analysis phase is carried out by knowing the VA and NVA values and implementing improvements based on FMEA.
Copyright (c) 2024 Alfa Firdaus, Indra Almahdy, Atep Alfia Hidayat , Selamet Riadi, Dede Rukmayadi , Jakfat Haekal, Tri widodo https://creativecommons.org/licenses/by-nc/4.0
Quality Function Deployment (QFD) Analysis For Mobile Signal Application Improvement At Indonesian Cement Manufacturing
The Mobile Signal application is a news and information portal from the company online especially for employees to make it faster and practical access to information and news compared to e-magazines issued at the end of each month. However, over the past 6 months, only 15% of number of employees who have used this application. Monitoring results showsseveral problemssuch as: not being able to log in, could not download and install the application, not-compatible with mobile phones, the content problems and attractiveness. Therefore, this research was conducted to find solutions of these problems. Using the Quality Function Deployment method, it is aimed to get recommendations for improving application attributes according to consumers requirements. The variables studied include the usability goals of a digital product, namely efficiency, effectiveness, memorability, safety, utility and learnability. Method data collection using questionnaires to 345 people, interviews and documentation. Data were analyzed using quantitative and qualitative methods QFD stages. The research results showed that 25 of the 30 attributes were not fulfilled Signal user satisfaction level, the house of quality matrix produces 5 technical characteristics as well as 15 recommended repair parts.
Copyright (c) 2024 Muhammad Isa Lufti, Jakfat Haekal, Freska Lionia Darlion https://creativecommons.org/licenses/by-nc/4.0
Identify Waste to Achieve Production Targets Using Value Stream Analysis Tool (VALSAT) Method
An electronics company located in Bekasi, West Java, produces electronic components; one of its products is terminals. Based on data from the brazing department, the production target was not achieved because there was a difference or mismatch between the production target and daily production results, so it was necessary to improve the production line by identifying waste during the production process. The production target per shift is 2040 pcs, while the actual production output is 1927 pcs. An effective and efficient way to identify waste and its causes must be developed using Value Stream Mapping Analysis Tools (VALSAT). This research aims to find the causes of not achieving production targets and identify waste in the production process so that the production process is more efficient and effective using a brazing machine. By using VALSAT, it is hoped that it can describe problems and provide solutions. Value Stream Analysis Tools (VALSAT) is a tool that is used to map value streams in detail and focus on processes that have added value. VALSAT helps facilitate and understand existing value stream mapping and helps facilitate the resolution of identified waste. Detailed mapping from VALSAT can also be used to find the root causes of waste that frequently arise and occur so that the causes of not achieving production targets can be eliminated.
Copyright (c) 2024 Novera Elisa Triana, Sakti Aji Lesmana, Alif Gita Arumsari https://creativecommons.org/licenses/by-nc/4.0