AMA Computer University, using the trade name simply as AMA University, is a for-profit Information and communications technology (ICT) university in Quezon City, Philippines. The university serves as the flagship brand of the AMA Education System (AMAES). It specializes in electronic, information, and communication technologies.
This study examined the content delivery readiness of selected Philippine Higher Education Institution websites using public performance data from the Chrome User Experience Report (CrUX) and HTTP Archive. The study covered 30 official website origins, consisting of 10 State Universities and Colleges, 10 private HEIs, and 10 Local Universities and Colleges. Each website was validated and normalized before data extraction. CrUX data for May 2026 and HTTP Archive page-level data from the May 1, 2026 crawl were collected through BigQuery. Of the 30 websites, 25 had complete data from both sources, four had CrUX data only, and one had no usable match. The readiness framework combined field indicators related to actual user experience with page-level indicators describing technical delivery conditions. Among the 25 complete-data websites, five showed high readiness, 13 moderate readiness, and seven low readiness. Private HEIs recorded the highest average score among the three groups, although the comparison was interpreted descriptively because the corpus was purposively selected. The most common issues were heavy page weight, slow visual loading, high request count, slow Time to First Byte, and slow Largest Contentful Paint. Sensitivity testing using three alternative weighting schemes showed that 84 percent to 96 percent of classifications remained unchanged, while rank correlations ranged from 0.962 to 0.980. These results indicate that the main findings remained generally stable across the alternative models, with most category changes occurring near the score boundaries. The resulting framework provides a practical basis for identifying and prioritizing improvements in payload size, loading behavior, request management, server response, and routine website performance monitoring.
This study examined publicly disclosed Common Vulnerabilities and Exposures (CVE) records for Moodle, Chamilo, Canvas LMS, Open edX, and Sakai to assess their value for higher education security governance. A non-intrusive secondary-data audit analyzed 236 CVEs from 2018 to 3 June 2026 using platform, National Vulnerability Database (NVD) Published Date year, revised CVSS severity categories, and OWASP Top 10:2021 classifications. Six zero-score records were separated from low severity. A sensitivity analysis compared the full corpus with 211 NVD API-verified records. A blinded independent IT-faculty coder recoded 24 records; severity agreement was 100.0% (Cohen's kappa = 1.000), and OWASP agreement was 91.7% (Cohen's kappa = 0.814). Moodle and Chamilo represented 91.5% of the corpus, a disclosure-weighted pattern rather than a product ranking. A03 Injection (54.2%) and A01 Broken Access Control (31.4%) dominated. Among records with numeric CVSS scores, including six zero-score records, high/critical proportions were 45.3% (67/148) in the full corpus and 44.9% (66/147) in the NVD-verified subset. Canvas and Sakai findings were interpreted cautiously because of small denominators. Public CVE evidence is affected by disclosure asymmetry, incomplete CVSS metadata, NVD non-returned records, and deployment differences. Because identifiable CVSS version/vector metadata were not preserved, severity comparisons are descriptive rather than version-normalized. The audit offers a reproducible governance framework linking vulnerability patterns to patching, authorization review, content-ingestion controls, plugin governance, and supplier accountability without treating raw CVE counts as inherent security rankings.
The study introduces FaceLog, a two-layer authentication framework developed to add digital security by incorporating biometric authentication and multi-factor authentication (MFA). The first security layer utilizes a Convolutional Neural Network (CNN)–based facial recognition model with liveness detection to verify user authenticity in real time. Using the Eye Aspect Ratio (EAR) method, the system detects natural eye blinks to distinguish live users from spoofing attempts involving static or digital images. Once facial verification is successful, the system proceeds to second layer of protection, either a One-Time Password (OTP) or a Time-Based One-Time Password (TOTP) for identity confirmation. This structure ensures that even if one authentication factor is compromised, unauthorized access remains effectively prevented. Evaluation results demonstrate high accuracy, precision, recall, and F1-score, supported by excellent ratings in functionality, usability, and compatibility based the criterion of ISO/IEC 25010 software quality model. The findings affirm that combining biometric authentication with multi-factor verification provides a robust, efficient, and user-centered approach to secure modern login systems, addressing the growing challenges of cybersecurity in digital platforms.
Financial literacy is increasingly recognized as an important determinant of individuals’ capacity to make informed financial decisions and prepare for retirement, particularly among migrant workers adapting to unfamiliar financial systems. This study examined the relationship between financial literacy and retirement planning among immigrant Filipino nurses in Missoula, Montana, United States. Using a quantitative descriptive-correlational research design, data were collected from 38 immigrant Filipino nurses through a structured questionnaire administered using purposive and snowball sampling. Financial literacy was assessed across three domains: personal financial knowledge, financial attitude, and financial behavior, while retirement planning was examined in relation to pension preparation, insurance, property investment, financial market participation, and business investment. Descriptive results indicated that respondents demonstrated high levels of personal financial knowledge and financial attitudes and high financial behavior, while retirement planning was rated as very important. Pearson correlation analysis demonstrated significant positive associations between retirement planning and personal financial knowledge (r = .426, p = .008), financial attitude (r = .534, p = .001), and financial behavior (r = .576, p < .001). Among the financial literacy dimensions, financial behavior exhibited the strongest relationship with retirement planning. However, respondents reported comparatively lower confidence regarding financial instruments such as stocks and bonds, indicating an area for strengthening investment literacy. Demographic characteristics, including age, gender, income, and educational attainment, were not significantly associated with financial literacy. The findings suggest that strengthening practical investment education, retirement planning knowledge, and workplace-based financial education may enhance long-term financial preparedness among immigrant Filipino nurses. The study contributes context-specific evidence to the literature on financial capability, migrant workers, and retirement preparedness.
People with disabilities experience barriers to healthcare that extend beyond physical access and include communication, provider capability, organizational processes, rehabilitation, and financial protection. This narrative review examines disability-inclusive hospital services from healthcare management and economic value perspectives. Relevant international and Indonesian literature was narratively reviewed and synthesized across recurring management domains: physical accessibility, communication, workforce capability, rehabilitation, effective access, financial burden, and organizational value. The review contributes a management-oriented framework that links accessibility investment with effective access, patient experience, continuity of care, resource utilization, and potential organizational value. The evidence indicates that accessibility is an organizational capability rather than a single infrastructure intervention. Barriers may affect patient experience, continuity of care, healthcare utilization, and financial burden. Evidence is stronger for disability-related burden and access barriers than for direct economic returns from individual accessibility interventions. Hospitals should therefore integrate disability inclusion into strategic planning, facility management, workforce development, operations, rehabilitation pathways, patient-experience measurement, and future economic evaluation. Keywords: disability inclusion; hospital management; healthcare accessibility; rehabilitation; healthcare economics
