Development of An Agricultural Equipment Circulation Data Management System for Organic Rice Large-Scale Farming Group

Authors

  • Chayuti Mekurai Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.
  • Pattarapon Withayakhun Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.
  • Wanchana Joobanjong Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand; Department of Management Information Systems, Faculty of Information Technology and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.
  • Thanin Sinpromma Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.
  • Sindoem Deeto Department of Science, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.
  • Apichai Suesatsakulchai Department of Business Information System, Faculty of Bsuiness Administration and Liberal Arts, Rajamangala University of Technology Lanna, Tak, Thailand.

DOI:

https://doi.org/10.14456/jiist.2025.2

Keywords:

Circulation service system, Information system, Equipment management, Technology Acceptance Model

Abstract

This research aimed to develop and evaluate an information system for managing agricultural equipment loans to enhance the operational processes of the Taluk Klang Thung Organic Rice Farming Group in Tak Province, Thailand. The system development life cycle commenced with requirements elicitation through interviews to understand the group's existing operational workflows. System analysis and design were conducted using Data Flow Diagrams (DFDs), which identified six core processes. The data architecture was subsequently designed to establish relational integrity between tables governing the loan-return cycle and equipment inspection management. The system was implemented using the Django framework with an SQLite database for data persistence. To evaluate the system's efficacy and user acceptance, a satisfaction survey was administered to a sample of 30 group members. The results revealed a high level of overall user satisfaction, with a mean score (M) of 3.93 and a standard deviation (SD) of 0.48. Qualitative feedback indicated that the system was perceived as easy to use, fast, accurate, and effective for managing equipment loans, fostering user confidence. Furthermore, a theoretical validation was performed using Confirmatory Factor Analysis (CFA) to test the measurement model against the constructs of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The analysis confirmed that all observed variables could significantly explain the latent variables of the theoretical models, with factor loadings ranging from 0.75 to 0.86, all of which substantially exceed the accepted threshold of ≥0.70. These findings demonstrate that the developed system is highly suitable for practical deployment and indicate a strong propensity for sustained user acceptance and utilization.

Author Biographies

Chayuti Mekurai, Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.

Chayuti Mekurai. He is a lecturer in Information Technology program, Faculty of Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand. He received B.S.Tech.Ed. degree in Computer Engineering from Rajamangala University of Technology Suvarnaphume, Thailand, M.Sc. degree in Information Technology from Naresuan University, Thailand, and Ph.D. degree in Computer Engineering from Mae Fah Luang University, Thailand. He is interested in healthcare technology, applied computing and AI, human motion analysis, knowledge management, Decision Support System, classification techniques, data analytics, and Internet of Thing.

Pattarapon Withayakhun, Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.

Pattarapon Withayakhun. He is a lecturer in Information Technology program, Faculty of Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand. He received B.S. degree in Multimedia Technology and Animation from Mae Fah Luang University, Thailand, M.Sc. degree in Game Technology and Gamification – International Program from Mahidol University, Thailand He is interested in Game Development, Digital Painting, 2D, 3D Design and Animation, Computer Game Concept Design Basic, and Gamification.

Wanchana Joobanjong, Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand; Department of Management Information Systems, Faculty of Information Technology and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.

Wanchana Joobanjong. He is a lecturer in Information Technology program, Faculty of Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand. He received B.S. degree in Information Technology from Naresuan University,Thailand, M.Sc. degree in Information Technology from Naresuan University, Thailand, and Currently pursuing a Doctorate degree in Management Information Systems, Faculty of Information Technology and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand. He is interested in Geographic Information System, Applied AI for Education, Multimedia technology, and Data analytics.

Thanin Sinpromma, Department of Information Technology, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.

Thanin Sinpromma. He is a lecturer in the Information Technology Program, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand. He received his bachelor's degree in Electrical Communication–Computer Engineering from Rajamangala Institute of Technology, North Bangkok, Thailand, and his master's degree in Information Technology and Management from Chiang Mai University, Thailand.  and  He is interested in computer systems, the Internet of Things (IoT), Artificial Intelligence applications, Systems Analysis and Design, Management Information Systems, Database Systems, and Data Analytics.

Sindoem Deeto, Department of Science, Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand.

Sindoem Deeto. He is a lecturer in Faculty of Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Tak, Thailand. He received B.S. degree in Physics from Naresuan University, Thailand, M.Sc. degree in Physics from Naresuan University,  Thailand, and Ph.D. degree in Electricity and energy from King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.

Apichai Suesatsakulchai, Department of Business Information System, Faculty of Bsuiness Administration and Liberal Arts, Rajamangala University of Technology Lanna, Tak, Thailand.

Apichai Suesatsakulchai. He is a lecturer in Digital Business Technology program, Faculty of Business Administration and Liberal Arts, Rajamangala University of Technology Lanna, Tak, Thailand. He received B.S. degree in Business Computer from Siam University, Thailand, M.Sc. degree in Information Technology and Management from Chiang Mai University, Thailand and Ph.D. degree in Information Technology from Naresuan University, Thailand. He is interested in Business Information System, Enterprise Resource Planning, Applied AI for Business, Knowledge Management, Business Data Analytics and Data Engineering.

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Published

2025-10-31

How to Cite

1.
Mekurai C, Withayakhun P, Joobanjong W, Sinpromma T, Deeto S, Suesatsakulchai A. Development of An Agricultural Equipment Circulation Data Management System for Organic Rice Large-Scale Farming Group. j.intell.inform. [internet]. 2025 Oct. 31 [cited 2025 Dec. 30];11(October):8-18. available from: https://ph05.tci-thaijo.org/index.php/JIIST/article/view/232

Issue

JOURNAL OF INTELLIGENT INFORMATICS AND SMART TECHNOLOGY, VOL.11, OCTOBER 2025

Section

Research Articles