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All Journal International Journal of Multidisciplinary: Applied Business and Education Research
Concepcion, Anthony U.
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Medicine & Pharmacology

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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.
Identifying Research Trends and Gaps in the Context of Linux and Unix Security Adriano, Raquel C.; Calayag, Jahleine Marielle M.; Cruz, Marian Minelli S.; Concepcion, Anthony U.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 6 (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.06.06.14

Abstract

Linux and Unix operating systems are fundamental to modern computing infrastructures, including cloud platforms, mobile devices, and supercomputers. With their increasing adoption, security has remained a persistent and evolving concern over the past two decades. This study conducts a systematic bibliometric analysis of 50 peer-reviewed journal articles and conference papers published between 2001 and 2020, segmented into four time periods: 2001–2005, 2006–2010, 2011–2015, and 2016–2020. Using citation analysis and co-word mapping via Mendeley and VOSviewer, the study identifies four main thematic clusters: (1) access control and authentication, (2) kernel-level vulnerabilities, (3) cloud and container security, and (4) mobile and Android-related threats. Early research focused on foundational topics such as system architecture and access control mechanisms, while more recent studies emphasized cloud-native security, virtualization, and mobile platform vulnerabilities. The analysis also reveals a significant disparity in research volume, with Linux-related studies dominating the field and Unix security receiving less than 20% of the total focus. This underrepresentation of Unix indicates a critical gap in the literature. These findings highlight not only the shifting priorities in open-source operating system security but also the need for renewed attention to Unix-specific threats and cross-platform security strategies in future research.
Co-Authors Adriano, Raquel Adriano, Raquel C. Calayag, Jahleine Marielle M. Concepcion, Alaina Thea V. Cruz, Marian Minelli S. Cruz, Marian Minneli S.