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A Segmentation Analysis Utilizing Natural Language Processing Model with Interactive Data Analytics Dashboard for Research Management Platform Adriano, Raquel; Concepcion, Anthony U.; Cruz, Marian Minneli S.; Concepcion, Alaina Thea V.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 2 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.02.31

Abstract

Research is a vital component of a university and, currently, unstruc-tured big data is a significant issue in various ICT industries and insti-tutions. To solve this modern problem, the researchers developed a system to streamline the manual operations and traditional research management system of the university through Natural Language Pro-cessing (NPL). This quantitative research utilizing descriptive-developmental design is about designing and evaluating A Segmenta-tion Analysis Utilizing Natural Language Processing Model with In-teractive Data Analytics Dashboard for Bulacan State University Re-search Management Platform utilizes the framework of progressive prototyping in the development process. Consultative meetings, in-terviews and the use of survey questionnaires were held to obtain data from ten (10) RDO/CDRU and staff, twenty (20) IT experts and twenty (20) academicians were chosen using random sampling. Re-sults show that personalize learning management system is excellent in terms of functional suitability (M=4.66), performance efficiency (M=4.68), compatibility (M=4.67), usability (M=4.74), reliability (M=4.51), security (M=4.44), maintainability (M=4.72), and portabil-ity (M=4.65). Subsequently, the developed system recorded a grand mean of 4.63 interpreted as Excellent among all ISO/IEC 25010 crite-ria. This indicates that the system complies with end-user needs as well as software quality standards. It is therefore prepared for adop-tion. Along with its implementation, it is recommended to gather feedback regularly and conduct an impact analysis of the effective-ness of using the segmentation analysis utilizing natural language processing model with interactive data analytics dashboard for re-search management platform.
A Data Repository System for the Information Technology Department using Google Site Concepcion, Alaina Thea V.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 11 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.11.23

Abstract

The study describes the development of the data repository system for Bulacan State University’s Department of Information Technology that was accomplished using Google Sites. The system is an orderly, accessible mechanism for storage, conservation, and administration of digital resources. Quantitative research was conducted to utilize questionnaires and document analysis to investigate whether there is a need for a central repository. The respondents were randomly chosen using simple random sampling, and they comprised domain experts and department members who were lecturers. The repository was analyzed using the ISO 25010:2011 method to optimize the appreciable challenges presented in document fixing, including duplicating files and links, the lack of ample space, data corruption, the inadequacy of keywords in the search, and the issue of migration. Using Google Sites to implement it, thus making the system more accessible and usable thus this can be a practical example of a departmental document repository. It supports its purpose in improving productivity, accessibility, and long-term preservation. The study demonstrates that the use of the developed system largely reduces errors associated with document management and presents an organized, efficacious, and dependable central mechanism in addressing the common challenges in digital resource conservation and retrieval.
A Data Repository System for the Information Technology Department using Google Site Concepcion, Alaina Thea V.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 11 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.11.23

Abstract

The study describes the development of the data repository system for Bulacan State University’s Department of Information Technology that was accomplished using Google Sites. The system is an orderly, accessible mechanism for storage, conservation, and administration of digital resources. Quantitative research was conducted to utilize questionnaires and document analysis to investigate whether there is a need for a central repository. The respondents were randomly chosen using simple random sampling, and they comprised domain experts and department members who were lecturers. The repository was analyzed using the ISO 25010:2011 method to optimize the appreciable challenges presented in document fixing, including duplicating files and links, the lack of ample space, data corruption, the inadequacy of keywords in the search, and the issue of migration. Using Google Sites to implement it, thus making the system more accessible and usable thus this can be a practical example of a departmental document repository. It supports its purpose in improving productivity, accessibility, and long-term preservation. The study demonstrates that the use of the developed system largely reduces errors associated with document management and presents an organized, efficacious, and dependable central mechanism in addressing the common challenges in digital resource conservation and retrieval.