Arellano University

This research introduces Sort Out, an Intelligent Inventory Management System tailored to tackle the persistent issues of manual inventory tracking and product management in small grocery stores. Numerous small retailers encounter difficulties like excessive inventory, stockouts, erroneous recordkeeping, and slow reactions to changes in stock levels. To address these challenges, the system combines Descriptive Analytics with a Rule-Based Algorithm to automate essential tasks like product tracking, expiration monitoring, and report creation. The system's design is created according to the System Development Life Cycle (SDLC) approach. Information is collected from chosen mini grocery stores via interviews and observations to identify user needs. The development process employed PHP, MySQL, and XAMPP as main tools, with the interface design refined for ease of use and accessibility.

The Documents Archiver System with Integrated Data Analytics and Recommendation Algorithm is a stand-alone desktop application. It is intended to address the requirement for efficient digital document management in settings with poor or nonexistent connectivity. The program enables users to upload PDF and DOCX files, tag them with keywords and document titles, and save them locally and in an integrated MySQL database. The system offers a contemporary and responsive graphical user interface and is built with JavaScript, Electron, HTML, and CSS for the front end and MySQL for the back end. This makes safe document retrieval, keyword-based search, and easy file organizing possible. To guarantee transparency and traceability, all user actions, including uploads, deletions, and searches, is recorded in real time. Using JavaScript charting libraries, an interactive dashboard displays visual analytics using bar and pie charts that show document statistics and keyword trends. The solution is perfect for small enterprises, schools, and local government offices that need dependable document management without relying on internet connectivity because it is totally offline.

This project created a web-based system called ClusRoof for Nishin Metal Corporation, a company that offers commercial and industrial roofing services. The system helps the company manage customers and projects while also using the K-Means Algorithm to group customers based on their service requests. It includes an easy-to-use dashboard that shows important information such as project cost, duration, and type of service. The system also helps manage job orders, materials used, and service history. It was developed using Python, PHP, MySQL, JavaScript, and CSS, making it functional, secure, and simple to use. The system was tested and evaluated using the ISO 25010 standard, which checks quality in areas like functionality, reliability, usability, efficiency, and security. Based on feedback from both users and technical evaluators, ClusRoof was found to be effective, user-friendly, and reliable. It successfully met its goals by giving accurate customer grouping, clear data displays, and useful insights to help the company make better decisions. For future improvements, it is recommended to add new features like real-time payment options, automatic email notifications for inquiries, and an inventory module for materials. Continuous updates, security checks, and user support are also advised to keep the system running smoothly. Overall, this project shows that ClusRoof can help improve business processes, and customer service.

The development of a web-based management system that integrates descriptive analytics and scheduling algorithms helps overcome the limitations of manual processes such as inefficiency, data inaccuracy, and lack of real-time updates. Through automation and data analysis, the system enhances productivity, minimizes human error, and enables informed decision-making. By centralizing operations, it ensures improved accuracy, accessibility, and overall business performance. The combination of descriptive analytics and scheduling algorithms strengthens operational efficiency and organizational intelligence. Descriptive analytics reveals patterns and performance insights, while scheduling algorithms automate and optimize resource allocation in real time. Together, they create an adaptive, intelligent, and reliable management solution that continuously improves business operations. SJOE Pet Supply, established in 2018, struggles with managing appointments, inventory, and customer records due to its manual system. To address these challenges, the proposed PetStreet system aims to automate core business processes and enhance operational efficiency. It incorporates descriptive analytics for data-driven insights and a scheduling algorithm to optimize appointments and staff workload management. Applied Developmental Research, focusing on designing and implementing a Web-Based Management System for SJOE Pet Supply, evaluated through the ISO/IEC 25010 software quality model. The evaluation centered on Functionality, Reliability, Efficiency, Usability, and Security to ensure the system performs accurately, operates smoothly, and safeguards sensitive business data. Data collection was conducted before and after system development, using interviews, surveys, and a Likert-scale questionnaire based on ISO 25010 criteria to measure user satisfaction and system performance. The Agile Methodology served as the development framework, emphasizing iterative development, continuous testing, and feedback integration to rapidly adapt to changes and refine features. Each phase aligned with ISO 25010 standards, ensuring that the system was functional, reliable, efficient, user-friendly, and secure to meet the operational needs of SJOE Pet Supply. PetStreet is a web-based management system developed for SJOE Pet Supply to automate grooming appointments, manage client and pet records, and control inventory efficiently. Based on the ISO/IEC 25010 evaluation, both users and technical experts strongly agreed that the system is highly functional, reliable, efficient, user-friendly, and secure. The study successfully developed and evaluated the PetStreet system, meeting all ISO/IEC 25010 quality standards. It proved to be an effective, secure, and user-centered solution for improving operational processes in the pet care industry. Future enhancements for PetStreet include developing a mobile version, strengthening security features, and enabling offline functionality. It is also recommended to integrate advanced analytics, payment options, and scalability features to support business growth and wider adoption.

This study investigated the effects of using the intelligent and non-intelligent versions of Ibigkas! Math-a mobile-based, computer-supported collaborative learning platform for Grade 5 mathematics on the mathematics performance of Grade 5 students. Out of 155 Grade 5 students from four universities, only 119 participated in the five consecutive-day experiment. Ethical approval was granted before data collection. The study employed a randomized pretest-posttest control group design, in which participants were randomly assigned to either the control (non-intelligent version) or experimental groups (intelligent version). They played the game for three days, and performance on a pre- and post-test was utilized as a measure of mathematics performance. In-game interaction logs were used to assess patterns of behavior. Hierarchical linear models estimated the effects of group and individual behaviors on learning gains. It was discovered that both software versions can be utilized for classroom settings. Students tend to complement each other's behaviors in the game, with no significant difference observed in their in-game behaviors. Students in the intelligent version demonstrated a more methodical and analytical approach, selecting correct answers in a relatively shorter time, thus making the intelligent version more preferable than the non-intelligent version. It is worth noting that the combinations of in-game interactions were shown to affect group learning gain negatively. Therefore, as tasks become more complex, the mathematics performance of the group may also be negatively affected. This study referred to this phenomenon as collaboration fatigue. Considering these findings, the study calls for debriefing sessions before proceeding to the next round of game sessions. Based on the positive outcomes of the tests, Ibigkas! Math is recommended as a math mCSCL tool for Grade 5 students.

This study determined the dominant learning style in relation to the performance in Technology and Livelihood Education specializing in Home Economics and Industrial Arts at identified public secondary schools in Cebu province for School Year 2021-2022 as basis for a learning guide. The researchers employed the descriptive method of research using a modified standardized questionnaire in the gathering of important data relevant to the study. Findings revealed that majority of the teachers obtained units in master’s degree and has NC II certification, have been in the institution for more than 6 years, and have attended national trainings, seminars, and workshops. In addition, most of the learner-respondents are 13 years old and female. In terms of the dominant styles of the learners, majority of them are visual learners followed by tactile/bodily kinesthetic learners while auditory learners fell last. In relations to their level of academic performance for the fourth grading period, majority of the learners are in the proficient level in TLE. Lastly, the class performance of the learners when tested with their dominant learning style resulted in a significant correlation. It is recommended that the proposed Technical-Vocational Education Learning Guide will be utilized in the research locale.

Organogenetic alterations described over the stages of gonadogenesis at the gross and microscopic scale can be used to determine spawning behavior in iteroparous fishes and provide finer details of the reproductive functions of commercially important species. This information can be used as the basis for stock assessment and maintenance of wild populations. In this study, the gross morphology of Eastern Little Tuna (Euthynnus affinis) gonads from Sarangani Bay, Davao Gulf, Moro Gulf, and Sulawesi Sea collected in 2020– 2022 was investigated along with its microanatomy through histotechniques. We determined four different size classes (FL): size 1 (≤ 30 cm), size 2 (30.1–40 cm), size 3 (40.1–50 cm), and size 4 (> 50 cm), and six stages for reproductive maturity: Immature, Onset Maturation, Developing/Maturing, Spawning, Spent, and Recovering/Resting. We observed that at the Spawning stage of the testis, the gonad appears creamy-white in color and soft in texture, with the contents freely released. The ovary is characterized by conspicuous blood vessels, a large ovum on the surface, and a pink-orange color. Histoarhitecture of the same stage showed the presence of lobular and tubular tissues, spermatozoa, primary and secondary spermatocytes, and proliferation of spermatids in the testis. In the female, the ovary is populated by secondary vitellogenic oocytes and yolk granules, indicating that the follicles are fully mature. Spawning was observed to commonly occur at Size 3 (40.1–50cm FL) in both males and females. Our paper is the first study that relates the gonadal sexual maturity of Euthynnus affinis in the southern Philippines to its fish length.

A Positive Working Environment (PWE) is crucial for nurse clinicians. This study evaluates the presence of PWE determinants in their workplace and their importance according to the Practice Environment Scale of the Nursing Work Index (PES-NWI). Eighty-two nurse clinicians from General Nursing Units and Specialty Areas in four Tertiary Hospitals in Metro Manila participated. The researcher used a Mixed Method Approach, with Cronbach's Alpha for reliability. Methodologies included Chi-Square tests and Phenomenology of Perception. Results indicated that Skilled Communication (SD 0.40), True Collaboration (SD 0.41), Effective Decision-Making (SD 0.47), Appropriate Staffing (SD 0.49), Meaningful Recognition (SD 0.51), Quality of Care (SD 0.40), and Authentic Leadership (SD 0.46) are essential for fostering a PWE. Qualitative analysis revealed that PWE encompasses more than visible or verbally communicated factors; it includes deeper, intangible elements which were represented by 5 subthemes. Cross-analysis triangulation of quantitative and qualitative data showed significant results, indicating the importance of creating a PWE in clinical settings. This approach is beneficial not only for hospitals but for other institutions as well.

This study focuses on the acceptability of selected Senior High School teachers on the use of generative AI tools, particularly Microsoft Bing Chat. A one-shot case study design was conducted on schools across six (6) districts in Manila Philippines. Both the voluntary response sampling method and Slovin’s formula were used to determine the sample from the population. This study involved 125 senior high school teachers, 54 or 43% of whom were males and 71 or 57% of whom were females from both private and public senior high schools in Manila City. The data were recorded first in an MS Excel program and later transferred to SPSS for analysis and visualization. The research instrument was administered online using Google Forms and then transferred to SPSS for data analysis and statistical treatment. It was revealed that all factors were statistically significant on the acceptability of generative AI tool by senior high school teachers. Furthermore, self-efficacy (SE) has the highest of 0.824 coefficient value followed by the factor perceived ease of use (PE) of 0.812 indicating their influence on Bing Chat behavioural intention of use (BI), leaving attitude (AT) the lowest among five (5) factors with 0.762 coefficient value. This implies that senior high teachers in Manila are much willing to abreast the idea of including generative AI tools in promoting their productivity in the workplace.