Journal of Computer and Creative Technology

A Principal Component Analysis of Key Factors Influencing Enrollment Decisions in a Bachelor of Business Administration Program

2026-07-12T20:48:10+07:00

This study aims to identify and extract the key factors influencing students’ enrollment decisions in higher education by adopting a data-driven analytical approach. Principal Component Analysis (PCA) was employed within the CRISP-DM framework to systematically analyze quantitative data collected from 571 prospective students across three provinces in Thailand. The survey instrument comprised 45 observed variables. Data suitability tests indicated strong adequacy for factor analysis, with a Kaiser–Meyer–Olkin (KMO) value of 0.963 and a statistically significant Bartlett’s Test of Sphericity. The PCA results, using Varimax rotation, revealed five latent components shaping enrollment decisions: financial readiness, institutional support and safety, student identity formation, technological and curriculum relevance, and peer guidance. The findings demonstrate that enrollment decision-making is multidimensional and hierarchical, extending beyond academic reputation to include economic, psychosocial, and experiential considerations. Academically, this study contributes by integrating PCA with educational data mining to provide a structured interpretation of student choice behavior. Practically, the results offer evidence-based insights to support curriculum development, targeted communication strategies, and enrollment policy design in higher education institutions.

Development of a Mobile Application System for Promoting Tourism in Phra Nakhon Si Ayutthaya Province

2026-07-17T12:41:23+07:00

This research aimed to: 1) develop a mobile application system to promote tourism in Phra Nakhon Si Ayutthaya Province, and 2) assess user satisfaction with the developed system. The participants consisted of 250 individuals, including Thai tourists, international tourists, local entrepreneurs, and officials from relevant agencies, selected using purposive sampling. The research instruments included a mobile application system developed for the Android operating system using Visual Studio Code, a system performance evaluation form, and a user satisfaction questionnaire. The research findings revealed that the overall performance of the mobile application system developed to promote tourism in Phra Nakhon Si Ayutthaya Province was at a high level (M = 4.37, SD = 0.58). In addition, overall user satisfaction with the system was also at a high level (M = 4.29, SD = 0.61). These findings indicate that the developed mobile application effectively enhances access to tourism information, improves usability, and enriches the overall user experience for promoting tourism in Phra Nakhon Si Ayutthaya Province.

Design and Implementation of a Low-Code Geofencing Architecture for Location-Based Attendance Management in Local Government Organizations

2026-07-21T14:36:46+07:00

As public organizations undergo digital transformation, efficient workforce mobility management is imperative. This study addresses a critical gap in the integration of spatial tracking capabilities within low-code platforms by designing and implementing a low-code geofencing architecture at Thasao Subdistrict Municipality, Thailand. The proposed three-tier architecture facilitates real-time data processing using Google AppSheet and Google Sheets. The system's business logic implements the Haversine formula for geodesic distance calculation and incorporates error-handling mechanisms to mitigate intermittent GPS signal instability. Performance evaluation via black-box testing demonstrated a 100% success rate across predefined functional test cases under controlled conditions, rather than absolute system accuracy. Field observations further revealed that real-world performance may vary depending on network latency and GPS signal quality. Empirical data collected through purposive sampling from 20 off-site personnel indicated a high level of satisfaction (Mean = 4.39, S.D. = 0.57), with the evaluation instrument reaching high reliability (Cronbach's Alpha = 0.85). This research contributes a scalable and resource-efficient architectural framework that reduces administrative workload and supports practical digital transformation in local government contexts, while also highlighting implementation constraints relevant to real-world deployment.