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Scholarship Management Information System using Machine Learning Models
No full textThe paper aims to develop a scholarship management information system using machine learning. This study aims to perform data pre-processing to Pero from trade off classifiers to determine the best model that will be integrated to Scholarship Management Information System module. In order to determine the user acceptance of the system, the researcher used an adopted questionnaire based on ISO/IEC 25010 Software Quality Standards int terms of functional suitability, performance efficiency, usability, reliability, maintainability, security, and portability. Based on the performance metrics the Decision Tree got the highest result of accuracy with a result of 0.987 and this model will be integrated in the Scholarship Management Information System. The results also indicated that the scholarship management information system achieved an overall weighted mean score of 4.57, which corresponds to a verbal interpretation of "Highly Acceptable." The findings imply that the system satisfactorily addresses the functional and operational requirements of its users, thereby offering a dependable framework for the management of scholarship-related activities
A Review on Strategies of Resilience for Human Computer Interaction
No full textThe idea of human-computer interaction comes because of the advancement in the development of computer technology. The new generation of people (i.e., young age group people), who are educated and technically knowledgeable, are involved in research experiments in human-computer interaction. Human-computer interaction (HCI) covers both technical and human behavioral concerns. The main purpose of practical research in human-computer interaction is to disclose unknown perceptions about the behavior of humans and its relationship to technology. Resilience is just a set of routines that allow us to recover from obstacles. The term resilience has been applied to almost everything from the economy, real estate, events, sports, business, psychology, the educational field, and more. Resilience is basically made up of a number of various abilities and skills for the purpose of building strong relationships, self-efficacy, optimism, self-awareness, and creating meaning from other experiences. In this process, people should use this for the increased quality of an organization’s resilience. For the purpose of building up knowledge of resources that are available to the people and for the purpose of confronting existing problems, all these things will be done by resilience
Jackfruit Disease Recognition Using Image Processing in Non-Destructive Method with Alternative Treatment Recommender
Get PDFThis study focuses on developing a mobile application for jackfruit disease recognition using advanced image processing techniques and hybrid algorithms. The proposed system combines Convolutional Neural Networks (CNN) with Support Vector Machines (SVM) to create a non-destructive method for accurately diagnosing jackfruit disease, particularly Rhizopus disease, through image analysis. By addressing the limitations of traditional disease detection methods, this application aims to provide a rapid, reliable, and automated solution for monitoring jackfruit health. Additionally, the study integrates an alternative treatment recommender that suggests organic and eco-friendly solutions for disease management, enhancing the sustainability and effectiveness of jackfruit cultivation. The system\u27s performance was evaluated using metrics such as accuracy, precision, recall, and F1 score, with the goal of creating a high-quality, user-friendly application based on ISO 25010 software quality standards
Optimizing Customer Decision-Making with Enhanced Product Evaluation Using Aspect-Based Sentiment Analysis and Naïve Bayes Algorithm
Get PDFIn the wake of the pandemic–driven surge in e-commerce usage, consumers increasingly rely on online reviews to assess product quality. However, customer feedback\u27s sheer volume and inconsistency make it difficult to extract meaningful insights. This study aims to enhance customer decision-making by developing an online product evaluator system that utilizes Aspect-Based Sentiment Analysis (ABSA) and the Naïve Bayes algorithm to provide fine-grained sentiment insights. The system collects user reviews from prominent platforms such as Shopee, Amazon, and Lazada. Reviews undergo natural language pre-processing, including tokenization, stop-word removal, and lemmatization. Aspect terms are extracted using frequency-based techniques, and sentiment classification is performed using the Naïve Bayes algorithm. Additionally, an abstractive summarization module is implemented to provide concise summaries for each aspect. The trained sentiment classifier achieved an accuracy of 90% based on validation using a confusion matrix and classification report. The aspect-based approach delivered more detailed insights compared to traditional sentiment analysis. A usability test following the FURPS model (Functionality, Usability, Reliability, Performance, and Supportability) yields an overall rating of 4.24, interpreted as “Strongly Agree,” from a sample of 50 users, including customers, professors, IT developers, and sellers. The results indicated that the system effectively supports customers in evaluating products through targeted sentiment analysis, thereby improving the quality and efficiency of purchase decisions. Moreover, the findings validate the integration of ABSA and machine learning as a robust solution in e-commerce environments
An Energy-oriented Path Optimization of Mobile Sink using ESCVAD Routing Protocol based on Voronoi Clustering Algorithm
Get PDFThis paper addresses the critical challenges of energy efficiency and network performance in Wireless Sensor Networks (WSN), particularly in the context of Mobile Sink (MS) nodes. As WSN technology continues to advance, the need for effective routing protocols becomes increasingly important due to constraints such as limited battery power and network congestion. This study proposes an energy-oriented path optimization utilizing the Energy-saving Clustering by Voronoi Adaptive Dividing (ESCVAD) routing protocol, which is based on a Voronoi clustering algorithm. By implementing clustering techniques, sensor nodes are grouped into clusters with designated cluster heads, facilitating efficient data aggregation and transmission to the base station. The proposed solution performs a simulation that compares the performance of the ESCVAD protocol against traditional direct data transmission methods. Results indicate significant improvements in throughput, minimized jitter, and balanced energy consumption, thereby enhancing the overall network lifetime. Furthermore, this research contributes to the ongoing development of energy-efficient routing protocols in WSNs and lays the groundwork for future real-world applications and scalability testing
Empowering Language Skills through AI in Teacher Education
No full textThis study explores how AI-powered tools contribute to enhancing English language proficiency among future educators in the Philippines. With artificial intelligence becoming increasingly integrated into classrooms, the research focused on four key areas: assessing students’ perceived English proficiency, identifying commonly used AI tools, examining challenges in their implementation, and proposing strategies to improve their integration. Using a mixed-methods approach, data were collected through surveys, interviews, and focus group discussions. Participants were purposively selected fourth-year English major students from a Teacher Education program at a state university, chosen for their exposure to both advanced English content and educational technologies. Quantitative data were analyzed using mean, standard deviation (SD), and ranking to assess proficiency levels and tool usage frequency. Qualitative data were examined using Braun and Clarke’s (2021) thematic analysis, which involved identifying and interpreting recurring themes from the participants’ responses. Findings revealed that tools like Grammarly and ChatGPT were the most frequently used, particularly for writing tasks. However, more advanced tools such as AI-generated feedback systems and lesson planning assistants remained underutilized due to issues like limited access, reliability concerns, and lack of user confidence. Ethical concerns, such as plagiarism, and inadequate training were also significant challenges. Most participants reported using AI tools only “sometimes,” reflecting a cautious and exploratory use within the curriculum. The study highlights a growing openness to AI in education but emphasizes the need for clear guidelines, ethical safeguards, and structured training to ensure re-sponsible, effective, and sustainable use of smart pedagogy in English language instruction
Digital Transformation of Human Resource (HR) Cloud Data Transaction for Quality Management Practices with AI-based Document Authenticator
No full textTo enhance quality management practices, a digital transformation of human resources was proposed as a key strategic initiative. This study centered on developing a cloud-based data transaction system for HR management, specifically focusing on learning and development, and incorporating AI-powered document authentication tailored for particular LUCs in NCR. The shift from traditional HR systems to a cloud-enabled platform offered improved precision, security, and accessibility. This transition aligns with the progressive developments in artificial intelligence, machine learning, and cloud computing, generally leading to more streamlined HR processes, particularly in document verification, data management, and quality assurance. Employing Agile methodologies, the HR cloud data transaction system was developed through iterative sprints, addressing user authentication, document management, automated workflows, and AI-driven verification using convolutional neural networks (CNN). The system\u27s evaluation, based on the ISO 25010 software quality model, involved gathering feedback from HR professionals and administrators in specified NCR LUCs, assessing various aspects including functionality, performance, and security. The research combined descriptive and developmental approaches to examine current HR practices, identify challenges, and determine system requirements. The resulting HR cloud data transaction system successfully met the LUCs\u27 specific needs, enhancing HR business processes by minimizing manual interventions while bolstering document authentication security through AI. The AI and CNN-based document authentication system demonstrated effectiveness in validating digital signatures and improving data transactions within HR environments. Users noted significant improvements in data accuracy and usability, coupled with enhanced accessibility
The Creative Hand Weavers of Antique: An Ethnographic Case Study
No full textThis research seeks to explore the stories behind the weavers of Antique, determine the meanings and value attached to their products and how do the weavers define the challenges and opportunities of loom weaving in Antique, specifically in the municipalities of Bugasong and Tibiao, Antique. Using a qualitative ethnographic case study, visiting sites and reading/reviewing articles, in-depth interviews, participant observation were conducted with experiences weavers in Antique. Thematic analysis revealed nine (9) key themes: (1) Weaving as a Family Tradition, (2) Weaving as a Source of Income and Economic Development, (3) Weaving for Women Empowerment and Gender Equality, (4) Woven Products as a representation of Cultural Identity and Tradition, (5) Woven Products as a Symbol of Community and Social Connection, (6) A. The Struggle to Compete with the Global market Trends, (7) Difficulty of Achieving Economic Stability, (8) Cultural Revitalization and Preservation and (9) Artistic Expression, Innovation and Creativity. These themes illustrate the stories of the weavers. The woven products that represent one\u27s cultural identity and respect, strengthening community bonds through shared craftsmanship as evidenced by its participation in national and international scene. However, weavers faced challenges in the modern times such as to revitalize and preserve traditional weaving practices and cultural heritage. To address these concerns this study recommends that the government should strengthen and augment its various schemes and programs designed to address challenges like competition, marketing, infrastructure, and credit access.
Design of a Robust u-Healthcare System based on Internet of Things
No full textThe efficieny and effectivity of u-healthcare systems relies on the robustness of both its hardware and software components. The efficient implementation of ubiquitous sensor networks powered by robust wireless communication technologies creating an Internet of Things (IoT), strengthens the delivery of real-time and robust healthcare system to its users. This paper deals with the application of context aware technology for an effective analysis of physiological information collected by various bio-sensors deployed in the healthcare facility environment covered by the u-healthcare system. The transmission of health information among sensors and mobile devices is then supported by the Fast Mobile Internet Protocol version 6 (FMIPv6). This is to ensure the seamless and uniterrupted delivery of health information, thus, ensuring the real-time facilitation of healthcare services
Mobile Solar Generator: A Disaster Resilient Power Source
No full textThis study aims to develop a mobile solar generator using the analysis, design, development, implementation, testing, and evaluation (ADDIE) development model. The Mobile Solar Generator (MSG) is a backup electricity source designed for homes, businesses, and schools during natural disasters. It uses solar power technology and a conventional AC generator, using an old coaster with PV panels, batteries, an inverter, and a controller. Performance testing showed charging is feasible between 7:00 AM and 5:00 PM, best during sunny weather, and has a payback period of 25 months