The Journal of Spatial Innovation Development

Study of Upper Air Analysis Using Wind Profiler for Weather Forecasting in Chiang Mai, Thailand

Napornpan Ritmahun — 2024-09-25

The upper air observation using a radiosonde at the Northern Meteorological Center is conducted once a day, representing weather conditions over a 24-hour period. This is insufficient for analyzing weather conditions occurring within shorter time frames. The Wind profiler system can monitor weather conditions every 5 minutes, but is limited to 5 km altitude and is not publicly accessible. Therefore, this study aims to Study of upper air analysis using Wind profiler data in Chiang Mai Province. The Wind profiler system of the Thai Meteorological Department can measure meteorological data including temperature, relative humidity, wind speed, and wind direction. By analyzing the upper air observation data from the Wind profiler and radiosonde to calculate atmospheric stability indices and assess atmospheric instability risks, the stability assessment of thunderstorms in Chiang Mai Province can be determined. The results show that the upper air observations from both sources can forecast thunderstorm occurrences. Consequently, this study led to the development of a stability index analysis program using the Skew-T Log P thermodynamic diagram and the trial is distributed via the website. It facilitates the use of information to support decision-making in issuing weather forecasts and warning announcements in Chiang Mai and the northern region. For example, analysis of the opportunity of thunderstorms Forecasting the trend of fog during winter Including analysis of weather trends during high concentrations of particulate matter (PM2.5) in the northern region, etc., It is useful for people and agencies to collaborate to prevent dangers that may occur from severe weather and help reduce damage to people's lives and property.

Application of Geoinformatics Technology for Route Management Connecting the Cultural Sites of Korat's Old Town

Tinn Thirakultomorn — 2024-09-25

Tourism plays a role and is an essential strategy used in area development that helps strengthen
the community. This study aims to analyze routes connecting the cultural sites of Korat city's old town for supporting community tourism to the learning city by network analysis (best route analysis, closest facility analysis, and service area analysis) using road network and cultural sites of the Korat old city of Korat city's old town data. The study found that the best connectivity routes linking cultural sites in Korat’s old town include four routes: (1) a Pilgrimage route to explore the architecture of Korat city's old town, (2) a city tour route of Korat city's old town, (3) a route to explore arts and culture in Korat’s old town, and (4) a route to seek blessings from sacred sites in Korat city's old town. These routes range in total distance from 3.50 to 4.62 kilometers and take approximately 8.39 to 11.08 minutes to travel time. Meanwhile, the study also identified the shortest connectivity route between TK Square and cultural sites in Korat city's old town, which ranges from 66.97 to 1,857.12 meters and takes approximately 0.16 to 4.46 minutes of traveling time. In addition, the analysis of service areas providing access to cultural sites in Korat city's old town revealed that within distances of 150, 300, and 500 meters, the coverage areas accounted for 11.04%, 33.16%, and 68.65% of the total area, respectively. In summary, the results of this research contribute to the development of Korat City's cultural sites as learning spaces capable of presenting and disseminating information accurately and efficiently to tourists. Furthermore, they create opportunities for sustainable community tourism development and strengthen the local economy in the future.

Linguistics Map of Ethnic Groups in the Upper Area of Ing River Basin, Phayao Province

Kamalawadee Buranawanna — 2024-09-25

This study intends to investigate and accumulate any spoken languages, including different ethnic dialects, in the upper area of Ing River basin in Phayao province and to create a linguistic map using geographic information system (GIS). This qualitative study was conducted through interviews and questionnaires to collect data, and descriptive statistics were used to discuss the result of the study. The findings show that there are three types of language communities present in the area:

1) Single-language community: there are 16 villages falling into this category, and the language spoken is Kam Muang (northern dialects).

2) Two-language community: there are 7 villages where the languages spoken are Kam Muang and Isan languages.

3) Three-language community: there are 5 villages where three languages, Kam Muang, Isan, and Central Thai, are spoken.

Further findings also reveal that there are a total of five ethnic groups residing in the upper Ing River basin area. The majority found are Thai Yuan, the local people in the area as well as those residing in the northern part of Thailand, and followed by Thai Isan, Thai Central, Lua, and Lao Wiang groups in descending order. The latter groups are the people who have relocated from other regions through familial relationships such as becoming in-laws of ones of the villages’ members.

Development of In-House Simple Plasma Extractor for Supportive the Classroom Learning of Medical Technology Students

Pimporn Chaiwan — 2024-09-25

The present study aims to develop in-house simple plasma extractor for students in the department of medical technology and to evaluate effect of in-house simple plasma extractor on the supportive learning and satisfaction in a laboratory classroom of transfusion science1 of medical technology students. The participants in this study included 95 of the third year students of medical technology department, registered in the course of transfusion science1 in the first semester of academic year 2023. The research tools for data collection in this study consisted of a satisfaction assessment form regarding the development of in-house plasma extractor and a satisfaction assessment form regarding the quality of simple plasma extractor and in-house innovation for improvement of classroom learning in the students. After quality examination by the experts, the research tools were applied to collected and analyze the data. The results of this study were reported as mean and standard deviation. Moreover, the comparison of student’s satisfaction between before and after the laboratory learning was statistically analyzed by using paired sample t-test. The data exhibited that the average score in a section of simple plasma extractor quality was the high level (4.46±0.61) and the average score in a section of innovation quality to support learning was the highest level (4.64±0.54) after applying innovation of plasma extractor in the classroom. These average score also was found to more than average score of prior using plasma extractor in the classroom with significantly different level (p<0.05). Accordingly, the in-house simple plasma extractor prepared in the classroom of transfusion science1 could improve efficiently the satisfaction and learning of the students.

Developing a Web Application for Botanical Data Storage Using Augmented Reality Technology: A Case Study of Namdibwittayakom School, Lamphun Province

Ketsinee Kooywaree — 2024-09-25

Developing a web application for botanical data storage using augmented reality technology, specifically for Namdibwittayakom School in Lamphun Province, was undertaken with the following objectives: 1) to design and develop a web application system for botanical data storage using augmented reality technology, and 2) to study user satisfaction with the web application system for botanical data storage using augmented reality technology. The application was developed to manage data for 62 plant species at Namdibwittayakom School, incorporating augmented reality technology to present learning materials about plants in a more engaging manner. The primary functions of the application include searching for plant information by entering keywords such as plant code, plant name, and properties, as well as retrieving information via QR codes with smartphones to view 3D model representations of the plants. Users can zoom in, zoom out, or rotate the 3D images as needed, accompanied by audio narration in Thai. The system was developed using Visual Studio Code with programming languages including HTML, JavaScript, PHP, and CSS, along with Bootstrap and AngularJS for the system's development. Additionally, XAMPP was used to simulate a computer as a server for system testing, and MySQL was utilized to create a database for storing plant data. For the augmented reality component, 3D tree models were sourced from the Sketchfab platform and integrated with command sets on the MyWebAR platform to enable functionality and display according to the specified commands. User satisfaction evaluation revealed that overall, users expressed a high level of satisfaction with the system, with an average score of 4.55 and a standard deviation of 0.59. When considering individual aspects, the average scores were 4.39 for content, 4.60 for design and layout, and 4.66 for usability, with standard deviations of 0.66, 0.59, and 0.54, respectively.

Analysis Agro-Tourism Routes by Geo-information Technology in Ban Khao, Ranod District, Songkhla Province

Pimpach Phuthong Ritdet — 2024-09-25

The research on "Analysis of Agro-Tourism Routes by Geospatial Technology in Ban Khao Subdistrict, Ranot District, Songkhla Province" aims to survey, create a database, and map agro-tourism sites, as well as to establish and evaluate agro-tourism routes. The methods involved surveying, data collection, database creation, application of geoinformation technology, and participatory processes through focus group meetings. The purposive sampling method was employed to select key community leaders, residents, enterprise groups, government agencies, and local organizations. The research findings reveal that Ban Khao Subdistrict has a total of 12 tourist sites, comprising 4 agro-tourism sites and 8 other types of tourist attractions. Two types of agro-tourism routes were identified: one day trip and a two-day trip.

Prediction of Electric Vehicle Numbers using SARIMA-ANN Hybrid Model

Kanlaya Boonlha — 2024-10-02

Currently in Thailand is a growing interest among consumers in in electric vehicles. This study aims to forecast the number of electric vehicles in Thailand. A hybrid forecasting approach combining Seasonal Autoregressive Integrated Moving Average (SARIMA) and Artificial Neural Networks (ANN) models or SARIMA-ANN model. Monthly data on electric vehicles registrations in Thailand, collected by the Department of Land Transport from January 2017 to July 2024, totaling 91 months, was used. A Multi-layer Perceptron (MLP) was built using the residuals from the SARIMA model, with the number of nodes in the hidden layer varying from 1 to 20 nodes. The model performance was evaluated based on the Root Mean Square Error (RMSE). The study found that the SARIMA-ANN model, with a SARIMA (0,1,2)(0,0,2)₁₂ at hidden layer are 18 nodes achieved the lowest RMS. For forecasting the number of electric vehicles in Thailand from August 2023 to July 2024, the model yielded an RMSE of 3879.622.

Development of Testing Process for Leave Management System Big data Agency CO., LTD.

Jirawat Duangkaew — 2024-10-02

The objective of this research is to evaluate the functionality and performance of the leave management system developed by Big Data Agency Co., Ltd., using overall testing, functional testing, and performance testing. The tests were conducted on a group of 100 users and covered six main cases, which included both normal operations and high workload conditions. The selection of test groups and cases aimed to assess the system's ability to handle various usage situations, both under normal and heavy usage conditions, to ensure that the system can respond effectively to user demands in all scenarios. The testing process was divided into three main sections: 1) testing the system's ability to import and export data; 2) testing the system's operational processes; and 3) testing the response performance after system usage. The results indicated that the system performed well overall, passing the data import and export and operational process tests with a 100% success rate. The average response time was 2 seconds, with a success rate of 99.17%. Although some cases experienced slower response times, overall, the system met user demands efficiently.