RMUTP R2R Research Journal

Income and Expense Accounting Management System for Knowledge and Skills Enhancement Project Science and Technology (School Lab), Faculty of Science, Khon Kaen University

ปริฉัตร สิงหาปัด — 2026-06-29

This study aimed to (1) analyze problems and obstacles in the budget management process of the School Lab project, (2) investigate information-system requirements for project budget administration, and (3) develop an efficient, user-responsive web application for managing the project’s income–expenditure accounts. The development followed a Research and Development (R&D) approach based on the seven-step System Development Life Cycle (SDLC). The implemented system integrates directly with the School Lab project database to import activity data, automatically calculate budget allocations, and thereby reduce redundant data entry and errors associated with manual recording. It records expenses by activity and produces real-time summary reports at the activity, department, and overall project levels. Access is controlled by role-based permissions and supports three principal user groups: project staff (10 users), departmental staff (9 users), and project administrators (13 users), for a total of 32 authorized users. The study identified key problems in the existing budget-management process: discontinuous coordination among stakeholders causing data handover errors, inaccurate income–expenditure records, and lengthy verification times required to prepare reports. During the requirements-gathering phase, researchers, project managers, and stakeholders concluded that adopting information technology was essential to reduce duplicated effort, facilitate data verification and access, and improve budget transparency. The developed system was deployed within the project and effectively addressed the identified issues, improving operational efficiency. This research demonstrates the potential of purpose-built information systems at the unit level to streamline workflows, enhance transparency, and establish a sustainable foundation for digital system development aligned with the strategic objectives of the Faculty of Science and Khon Kaen University.

Development of an Online Vehicle Reservation System for Kanchanaburi Rajabhat University

Nitta Traidecha — 2026-06-29

This research aimed to: 1) develop an online vehicle reservation system for Kanchanaburi Rajabhat University, 2) evaluate the efficiency of the online vehicle reservation system for Kanchanaburi Rajabhat University, and 3) assess user satisfaction with the online vehicle reservation system for Kanchanaburi Rajabhat University. The study population consisted of two groups: 3 information system experts, purposively selected to evaluate system efficiency, and all 74 users recorded in the university’s online vehicle reservation database between June and December 2023, representing the total population without sampling. The research instruments included: 1) the online vehicle reservation system for Kanchanaburi Rajabhat University, 2) an information system efficiency evaluation form for experts, and
3) a user satisfaction questionnaire. Data were analyzed using percentage, mean, and standard deviation. The research findings revealed that: 1) The online vehicle reservation system for Kanchanaburi Rajabhat University was analyzed, designed, and developed as a web application based on the Systems Development Life Cycle (SDLC). The system supports 4 main user groups: service recipients, material and vehicle management officers, executives, and drivers. It effectively replaces the traditional paper-based vehicle request forms. Compared to the previous process, the system reduces the average operational time for vehicle permit requests by 99.10% and decreases paper consumption by 40% – 50% (equivalent to 480 – 600 sheets per year) of the original usage, thereby facilitating and accelerating vehicle management. 2) The overall efficiency of the system evaluated by experts was at a high level ( = 4.40, S.D. = 0.61). The functional capability aspect obtained the highest mean ( = 4.60), while the usability aspect obtained the lowest mean ( = 4.27). 3) The overall user satisfaction was at a high level ( = 4.46, S.D. = 0.69). The system quality aspect obtained the highest mean ( = 4.52), whereas the system performance aspect obtained the lowest mean ( = 4.39).

Analysis of Research Funding Structure for Strategic Management: A Case Study of the Multidisciplinary Research Institute, Chiang Mai University During the Fiscal Years 2023-2025

นิภาพร ภมรฉ่ำ — 2026-06-29

This study aimed to analyze the structure and proportion of research funding sources classified by research platforms at the Multidisciplinary Research Institute (MDRI), Chiang Mai University, during the fiscal years 2023–2025. This descriptive research employed a census approach using secondary data collected from all 357 research projects, with a total budget of 296.43 million baht. The statistical methods used for data analysis included frequency, percentage, mean, and growth rate. The findings revealed that the institute relied heavily on national external funding and specialized funding sources. Major funding agencies included the National Research Council of Thailand (NRCT), the Program Management Unit on Area-Based Development (PMU-A), the Industrial Estate Authority of Thailand (IEAT), and the Thailand Greenhouse Gas Management Organization (Public Organization) (TGO). These funding sources played a significant role in driving research activities and enhancing the institute’s competitiveness. However, excessive dependence on a limited number of high-value external funding sources may increase volatility and structural vulnerability when project cycles come to an end. In contrast, internal funding schemes, such as the Fundamental Fund and Research Group Development Grants, although accounting for a smaller proportion of the total budget, played a crucial role in sustaining the research ecosystem and continuously strengthening researchers’ capacities in a stable manner. The findings underscore the importance of analyzing research funding structures as empirical evidence that can support strategic planning and budget risk management. The results may also serve as valuable information for decision-making under the Education Criteria for Performance Excellence (EdPEx) framework and for further improving the institute’s research management system and strategic management practices in the future.

The Satisfaction of Personnel Regarding Services Offered by the Planning Division, Faculty of Home Economics Technology, Rajamangala University of Technology Phra Nakhon

aditad eamrucksa — 2026-06-29

This study aimed to examine personnel satisfaction with the service quality of the Planning Division. A quantitative research approach was employed, using a questionnaire as the research instrument for data collection. The sample consisted of 81 personnel affiliated with the Faculty of Home Economics Technology, Rajamangala University of Technology Phra Nakhon, selected through purposive sampling. Data were analyzed using frequency, percentage, mean, and standard deviation. The findings indicated that the overall level of personnel satisfaction with the service quality of the Planning Division was high. The highest satisfaction was observed in the service personnel dimension, particularly regarding staff politeness, attentiveness, and the ability to provide clear and accurate information. In addition, satisfaction with facilities and public relations services was also found to be at a high level.

Factors Influencing Cyber Threat Awareness Among Internet Users at Kanchanaburi Rajabhat University

Nitta Traidecha — 2026-06-29

This research aimed to study the demographic factors, experience-related factors concerning cyber threats, and knowledge-related factors about cyber threats that influence cyber threat awareness among Internet users at Kanchanaburi Rajabhat University. Data were collected through an online questionnaire from 365 respondents, consisting of 329 students and 36 academic and support staff members. The data were analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation, and inferential statistics, including One-way Analysis of Variance (ANOVA) and Pearson’s Correlation Coefficient. The research findings revealed that: 1. Demographic factors such as gender, age, Internet usage experience, type of personnel, education level, and income showed no statistically significant differences in cyber threat awareness at the .05 level. 2. Experience-related factors concerning cyber threats had no statistically significant relationship with cyber threat awareness at the .05 level. 3. Knowledge-related factors about cyber threats had a positive and statistically significant correlation with cyber threat awareness at the .05 level. The results indicate that knowledge is a key factor influencing cyber threat awareness among Internet users at Kanchanaburi Rajabhat University. The findings can be applied to policy formulation, training program development, and awareness activities to enhance understanding of cybersecurity, increase awareness, and reduce the likelihood of falling victim to cyberattacks. Ultimately, this can help strengthen sustainable Internet safety among university staff and students.