The Journal of Spatial Innovation Development

The Development of an Employee Leave Information System : A Case Study of Personnel, University of Phayao

Nopparat Phraduangngarm — Tue, 07 May 2024 00:00:00 +0700

The objective of this study was to education and developed an online leave system for the Employment Department of University of Phayao. The study provides guidelines for the online leave system and can be used by all University of Phayao personnel. The original leave system was used for the purposes of the study. The research found ways to improve and develop the new online leave system to meet the needs and provide users with the greatest possible convenience. This has a truly suitable application to the context of the University of Phayao work.

The research showed that all volunteers who used the online leave system between April 2022 and September 2023 were satisfied. It was found that the overall effectiveness of the system was considered to be at a high level (= 4.46, S.D. = 0.64). Satisfaction with the system's ability to perform its tasks is also at a high level. In terms of easy to use, efficiency is at similarly high level (= 4.43, S.D. = 0.62). In the case of data security, performance is at the highest level (= 4.54, S.D. = 0.59). From the results of the research conducted on a sample group of volunteers and based on the assessment of the applicable evaluation, the online leave system research on the case study of Phayao University Staff Branch has a high level of application.

Computer Operation Control System Through Line Bot

Saharat Plangklang, Sasikarn Plaiklang, Wittaya Montre — Tue, 07 May 2024 00:00:00 +0700

Smart computer control through a line bot is becoming a popular method for managing the operations of small devices. It supports work processes and streamlines tasks. The purposes of this research are: 1) to design and develop the smart computer control system, Business Value Co., Ltd. has introduced the "BSV Linebot." and 2) to assess user satisfaction. The research tools include questionnaires and statistics, such as the mean and standard deviation with a specific sample group of 10 employees from Business Value Co., Ltd. The researchers have designed and developed a smart computer control system through the LINE application. Users can send commands to LINE, which then forwards the commands to Dialogflow. Dialogflow, in turn, sends the received commands to the server through an API. The server activates the computer control program stored in the database, allowing the computer system to execute the specified commands. The research findings indicate that the "BSV Linebot" system effectively controls computer operations remotely, such as turning on, turning off and restarting the computer. User satisfaction evaluations show a high level of satisfaction with the system ( mean = 4.09 and standard deviation = 0.67).

The Development of Below Knee Stump Model to Promote Stump Bandaging Skill for Physical Therapy Students

Patcharin Phrompao, Saisunee Konsanit — Thu, 09 May 2024 00:00:00 +0700

Bandaging the below-knee stump using models is an essential skill for physical therapy. Currently, models are sold at a relatively high price. Therefore, it has limited use in educational institutions. The researchers developed the below-knee stump model with a realistic size and shape using materials easily procured within a budget. The objectives were to evaluate the effectiveness of the below-knee stump model developed by the researchers for practicing bandage skills and to compare user satisfaction. Three experts assessed the efficacy of the developed model. Forty-eight second-year physical therapy students were invited to satisfy the model. The tools used in this study were a performance evaluation form of a below-knee stump model and a satisfaction assessment form after using the bandage practice on a below-knee stump model. The results found that: 1) The below-knee stump model featured a realistic shape and size, complemented by a durable soft rubber surface 2) The overall below-knee stump model's average performance was excellent (4.89 ± 0.17). 3) The average overall satisfaction of users with the use of the below-knee stump model was higher than the university of the below-knee stump model. The performance of the overall below-knee stump model was at an excellent level (4.67 ± 0.56 and 4.44 ± 0.74; p < 0.001, respectively). These findings suggested that the below-knee stump model developed by researchers can promote leg stump bandaging skills for physical therapy students before practicing with actual patients.

The Development of Chatbot Application for Student Services: A Case Study of Buriram Rajabhat University

Chetsada Faiprom, Tanakorn Ketram, Chusak Yathongchai, Wilairat Yathongchai — Mon, 13 May 2024 00:00:00 +0700

This research aims to develop a chatbot application for student service and study user satisfaction with the application. This is to facilitate quick responses to questions, provide information, and assist students with learning-related issues at the university without time and location constraints on service delivery. Additionally, it can reduce the workload of staff in answering questions. The sample group consists of 385 students from Buriram Rajabhat University. Research tools include an online questionnaire to collect questions that students need answers to at the university and a satisfaction survey on application usage. The statistical analysis used in the research includes percentages, averages, and standard deviations. The development process of the application follows the system development life cycle, which involves gathering questions that students need answers to and designing a database to store them in MySQL. The development tools used include LINE Bot Designer, Dialogflow, PHP, and Laravel Framework.

The study found that the chatbot application for student services, operating within the LINE application, can address queries across 8 domains of student services: course registration, course enrollment and withdrawal, tuition payment, grade appeals, academic calendars, activity calendars, student welfare funds, and university building locations. There is also a web application to manage chatbot responses, allowing staff to conveniently add, delete, and modify responses within the database. The study results of user satisfaction with the application's usage found that there was a high level (= 4.42, S.D = 0.65).

Utilization of Geo-Technology in the Formulation and Design of an Optimal Irrigation System for Durian Farm

Thu, 23 May 2024 00:00:00 +0700

The primary objective of this study is to analyze water management strategies within a durian plantation, aiming to streamline expenses and bolster operational efficiency in water distribution. Leveraging satellite-derived geographic data, the research encompasses comprehensive area assessments and devises an optimized water infrastructure layout. The findings underscore the feasibility of employing QGIS software for precision irrigation tailored to expansive durian plantations. Notably, meticulous calculations addressing pressure loss in the water pump network and the meticulous selection of conduit sizes—advocating a 3-inch main pipe and a 2-inch secondary conduit—contribute significantly to sustaining ideal water flux. The proposed implementation includes a recommended 3-horsepower water pump estimated at 47,550 baht to service the entire system. Anticipated challenges encompass potential pipe leakages and the maintenance of consistent water pressure to ensure adequate flow. This study serves as a pioneering initiative in agricultural water resource management, presenting a robust model reliant on geospatial technology, furnishing an efficient framework adaptable to various growth stages in durian cultivation.

The application of unmanned aerial vehicle images for the classification of coral reef area at Man Nai Island, Rayong Province

Peranun Musikarat, Anukul Buranapratheprat, Prasarn Intacharoen — Tue, 04 Jun 2024 00:00:00 +0700

The application of unmanned aerial vehicles (UAVs) to study the classification of coral reef areas around Koh Man Nai in Rayong Province involved the use of Pixel-based classification. This method utilized three models: Maximum Likelihood (ML), Random Trees (RT), and Support Vector Machine (SVM) at 100-meters and 200-meters flight altitudes, categorizing the reef into three types: coral, rocks, and sand. The assessment of coral reef classification accuracy at 100-meters flight altitude using SVM revealed the highest overall accuracy at 72.73%. The Kappa coefficient was 0.748. Comparatively, ML achieved an overall accuracy of 70.91% with a Kappa coefficient of 0.719, while RT showed the least accuracy at 62.27% with a Kappa coefficient of 0.675. Similarly, at 200-meters flight altitude, SVM demonstrated the highest overall accuracy of 67.27%, with a Kappa coefficient of 0.689. ML and RT achieved lower overall accuracies at 65.45% (Kappa coefficient: 0.651) and 63.3% (Kappa coefficient: 0.633), respectively. The results show that the drone's altitude affects the accuracy of land cover classification. Flying at lower altitudes leads to more accurate land cover classification results. SVM stands out as the model that provides the highest accuracy in classification analysis.

Multi-scenario Satellite Drought Assessment using Moisture Stress Index (MSI) in Mae Suk Watershed, Mae Chai District, Phayao Province

Siriwan Ruenrom, Rangsan Ket-ord, Niti Iamchuen — Wed, 19 Jun 2024 00:00:00 +0700

Drought is a natural disaster that has persisted from the past to the present. It can occur in any area and is usually caused by changes in rainfallThe amount of rainfall decreases more than usual for an extended period, affecting agricultural production. Current drought conditions can be assessed using indices calculated through remote sensing techniques. The Moisture Stress Index (MSI) is used to analyze drought-prone areas and their impact on land use. In this research study, the aims are (1) to analyze areas at risk of drought under varying rainfall amounts and (2) to examine the relationship between drought risk areas and land use status. The research results indicate that drought areas (ranging from moderate to extreme drought) appear in all three landscapes, with 10,193 rai in low rainfall areas, 13,654 rai in normal rainfall areas, and 5,736 rai in high rainfall areas. When analyzing the MSI index values in conjunction with land use, it was found that various activities have different drought indices: agricultural areas (0.6 – 1.9), forest areas (0.4 – 1.4), miscellaneous areas (0.6 – 1.9), urban and built-up areas (0.6 – 1.4), and water resource areas (0.4 – 1.6). Studying the MSI index can indicate the drought level for each type of land use, which can be utilized in planning to support decision-making in agriculture based on the varying amounts of rainfall during different periods.

Use of Sentinel-2 Image Data for Terrestrial Boundary Calculation of Thailand

Wed, 03 Jul 2024 00:00:00 +0700

This study aims to compile the terrestrial boundary data of Thailand into a vector geographic information system using Universal Transverse Mercator (UTM) coordinates, Zone 47 North, with the primary datum as World Geodetic System 1984 (WGS 1984) from Sentinel-2 satellite imagery. The objective is to compare the boundary data derived from this study with those previously compiled by various government agencies.

The study found that the calculated area of Thailand's terrestrial boundary from this research is 321,204,866.73 acres (513,927.79 square kilometers). When comparing this boundary data with previously compiled data from other state agencies, it was observed that the Royal Thai Survey Department's boundary data shows the smallest difference, at 0.42%, equivalent to 1,370,404.46 acres (2,192.65 square kilometers). Comparatively, the Department of Lands's boundary data exhibits a slightly higher difference at 0.71%, equivalent to 2,304,335.74 acres (3,686.94 square kilometers). Finally, the largest difference was found with the boundary data from the Department of Provincial Administration, at 0.72%, equivalent to 2,323,832.92 acres (3,718.13 square kilometers).