The Journal of Spatial Innovation Development

A Machine Learning Approach for Dengue Fever Prediction: Case Study of Phayao Province

2024-07-04T17:47:14+07:00

Dengue fever is a serious disease caused by a virus carried by Aedes mosquitoes. It is an important problem of ministries of health in many countries around the world. This research therefore aims to study factors affecting the outbreak of dengue fever and create an effective dengue fever prediction model using machine learning techniques. Data from the Phayao Meteorological Station, including climate, temperature, relative humidity, rainfall, number of rainy days and population data in Phayao Province was collected from the provincial public health database. In addition, the number of dengue fever patients, gender and age group collected from Phayao Hospital between 2017 and 2022 was analyzed and build a model with 10 machine learning techniques. Regression types include Support Vector Machines and Linear Regression. Classification types include Artificial Neural Network, Decision Tree, Naïve Bayes, K-Nearest Neighbors, Deep learning, Random Trees, Gradient Boosting, and Logistic Regression and measure model performance using the 5-Fold Cross Validation method.

All data is created in monthly and weekly datasets. Considering the highest overall accuracy and efficiency. From the performance measurement results of Regression, it was found that Linear Regression provides the best performance with an RMSE of 1.190. From the Classification results, Deep Learning was found to be the most effective model with the highest overall performance, reaching an Accuracy of 99.84%. The results from this research can be used as guidelines for application, especially by various agencies involved in surveillance planning to find areas at risk of spreading and to effectively prevent and control dengue fever.

Appropriate Technology-Level for Strategies Research Areas in Thailand

2024-11-08T16:23:56+07:00

This article aims to evaluate the appropriate technology level for research funding and research funding sources. By applying the criteria and procedures for evaluating appropriate technology at 4 levels, namely ATL_D ATL_C ATL_B and ATL_A, the evaluation method must be accompanied by supporting documents from level ATL_D to complete ATL_B, and to tailor the appropriate technology level to suit the context of the research area by comparing the appropriate technology before it is applied to the research area and after it is applied to the research area. The evaluation method must also be accompanied by supporting documentation, which can adjust or reduce the appropriate technology level from the previously assessed level. It was found that when considering the strategic research area before and after the implementation, there were 59 and 60 technologies, an increase of 1 technology ATL_B. There was a significant increase in change from 9 technologies to 22 technologies, accounting for 244.4 percent. In conclusion, the important point is that the criterion for assessing the appropriate technology level is a new body of knowledge in the dimension of field research. It can be used to evaluate the appropriate technology to participate in the application for research funding. This assessment of the appropriate technology level can be a part of determining the readiness of future researchers.

Object Detection in Smart Home System for Visually Impaired Person

2024-09-17T08:59:30+07:00

This research aims to develop an object detection system for smart homes designed for visually impaired individuals to enhance their independence. The project involves creating a portable device to detect obstacles within the home using the YOLOv8 algorithm, which is known for its high accuracy and precision in object detection. The project is divided into two main parts: Part 1: Device Design The device is designed to be portable and user-friendly, featuring audio alerts. It includes essential components such as a Raspberry Pi 4, a camera module, and an ultrasonic sensor. Part 2: Model Development A new model will be developed to detect obstacles in the home by further training the YOLOv8 algorithm with household objects to enhance model accuracy. The new model will be compared with an existing model to evaluate performance.

The results of the experiment showed that the newly created model was able to detect obstacles inside the home with an accuracy of 96.2%, while the existing model achieved an accuracy of 93.1%. The new model demonstrates relatively high accuracy and greater efficiency compared to the existing model. The researcher has designed a warning system that emits an alert when the visually impaired individual approaches an obstacle within 50 centimeters. The results of this research can serve as a guideline for creating obstacle detection devices for smart homes, ultimately improving the quality of life for visually impaired individuals.

Development of A Dental Clinic Queue Reservation Application

2024-12-14T23:41:38+07:00

This research aims to 1) study the development of a dental clinic queue reservation application 2) evaluate the effectiveness of the dental clinic queue reservation application and 3) assess user satisfaction with the application. The application was developed using Application Studio, with SQLite for database management. The effectiveness of the application was evaluated by 10 experts, while user satisfaction was assessed by 400 users. Data was analyzed using descriptive statistics including mean and standard deviation. The results of the study indicated that the overall effectiveness of the dental clinic queue reservation application was rated as "very good" with a mean score of 4.63. User satisfaction with the application was rated as "very high" with a mean score of 4.29.

Diversity of Fish in the upper Ngao River, Lampang Province

2024-07-23T20:25:27+07:00

This study aims to survey the biodiversity of fish in the upper Ngao River, located in Lampang Province, from January to September 2020. Sampling was conducted at four stations, revealing a total of 14 families 28 genera and 33 species of fish. The Cyprinidae family comprises 15 species, representing 45% of the total fish population. According to the IUCN conservation status, the Clarias batrachus and Rhinogobius chiengmaiensis are classified as Vulnerable (VU) due to being close to extinction. Additionally, two alien species, Cyprinus carpio and Oreochromis niloticus have been identified in the natural water sources, possibly introduced through human activities in the Mae Ngao River near Khun Khi Ri village. In terms of the diversity index value, it was found that Ban Khuan Khiri (Station 2). has the highest value, followed by Ban Sop Pon (Station 4), Ban Khoi (Station 3), and Mae Yuak stream (Station 1), with values of 2.81, 2.52, 2.49, and 2.10 respectively. The biodiversity index has a value between 1-3, indicating that the water source is still suitable for living things. Therefore, at every station that has surveyed the diversity of fish species in the upper Ngao River, Ngao District, Lampang Province, the water source conditions are suitable for growth.

Designing and Creating an Innovative Cultural Tourism Database to Improve the Social and Cultural Quality of Pu Yu Subdistrict, Mueang District, Satun Province

2024-12-20T11:36:28+07:00

The topic of this research is designing and creating an innovative cultural tourism database to enhance the social and cultural quality of Pu Yu Subdistrict, Mueang District, Satun Province. The study objectives include: 1) To create a community social and cultural database for promoting community tourism in Pu Yu Subdistrict, Mueang District, Satun Province and 2) To create an innovative community social and cultural database for raising the level and opportunities for tourism competition in the Pu Yu Subdistrict community, Mueang District, Satun Province. There are educational steps including: Exploring tourist attraction information Creating a database of tourist attractions using Google Maps and designing a website to disseminate the database. The results of the study found that There are a total of 12 social and cultural tourist attractions in Puyu Subdistrict. Creating an innovative social and cultural database by the Google Map application to create maps and present information through Google's servers and a set of tools to create and display websites through the service provided by Google Sites, which is a free service for website developers through the main web browser. including Google Chrome and named PuYu Cultural Tourism. Visit the website from https://sites.google.com/tsu.ac.th/puyu-cultural-tourism.

The Effectiveness of learning Program Based on the Theory of Health Belief Model and Health Literacy on Diarrhea Prevention Behavior in Caregivers of Children Under 5 years Old in Phan District, Chiang Rai Province

2024-11-08T14:19:17+07:00

This quasi-experimental study using a two-group pretest–posttest design aimed to study the effectiveness of a learning program based on the theory of health belief model on diarrhea prevention behavior in caregivers of children under 5 years old. The sample group consisted of 72 parents of children under 5 years old from Pan District, Chiang Rai Province. They were divided into experimental and control groups, each comprising 36 individuals. The study duration was 10 weeks, during which data was collected using questionnaires at pre-experiment, post-experiment, and follow-up stages. Data were analyzed using descriptive statistics, Chi-square tests, Independent t-tests, and Repeated Measures ANOVA.

The study results showed that before the experiment, the experimental group and the control group had no statistically significant differences in the average scores of knowledge, health belief perception, literacy, and diarrhea prevention behavior (p > 0.05). After participating in the program and the follow-up period, the experimental group had higher average scores in knowledge, health belief perception, literacy, and diarrhea prevention behavior compared to before the experiment and better than the control group with statistical significance (p < 0.05) (Knowledge F = 95.87, p < 0.01; Health belief perception F = 448.13, p < 0.01; Literacy F = 24.18, p < 0.01 and Diarrhea prevention behavior F = 24.29, p < 0.01). This research concludes that the health belief and knowledge learning program positively influenced diarrhea prevention behaviors in caregivers of children under 5 years old, suggesting its potential applicability in other child care contexts.

English Language Learning using Computer-Assisted Instruction with Augmented Reality Technology for Secondary 1 Students at Banbokaew School, Phrae Province

2024-12-15T11:08:14+07:00

English language learning using computer-assisted instruction (CAI) with augmented reality (AR) technology for Secondary 1 students at Banbokaew School, Phrae Province was developed with the objectives to: 1) design and develop an English CAI lessons with AR technology for Secondary 1 students at Banbokaew School using a web application, and 2) study the satisfaction of Secondary 1 students at Banbokaew School towards the system usage. The sample group used in this research consisted of 19 Secondary 1 students and 2 teachers from Banbokaew School, totaling 21 people, selected by purposive sampling. The research instruments comprised: 1) an English CAI lessons with AR technology, and 2) a satisfaction questionnaire, which was validated for content validity by 3 experts. Data were analyzed using mean and standard deviation. The results showed that the English CAI lessons were designed to make learning more engaging, covering four topics: food, activities, clothing, and objects in the room. Each lesson included vocabulary, grammar, pre-test and post-test exercises, and AR usage through QR code scanning to view 3D models of vocabulary words with audio. The system was developed using Construct 2 and MyWebAR programs in a web application format. Finally, the user satisfaction assessment results found that the satisfaction level of Secondary 1 students at Banbokaew School was at a high level, with a mean score of 4.22 and a standard deviation of 0.76.

Classification of Sugarcane Plantation in One growing Season using Sentinel-2 Satellite Imagery and Random Forest Method on Google Earth Engine Platform

2025-01-08T16:37:01+07:00

Sugarcane is a vital economic crop in Thailand, making a significant contribution to the agricultural sector. Spatial technology, particularly remote sensing, is extensively employed to monitor sugarcane plantations; however, challenges emerge due to constraints in computational resources. This study seeks to address these challenges by utilizing the Google Earth Engine (GEE) platform, which offers analytical capabilities akin to traditional geospatial software. The research specifically aims to evaluate the accuracy of sugarcane field mapping through the application of a random forest algorithm to Sentinel-2 satellite imagery using GEE. environment. The study area encompassed Rakam, Bang Krathum, Phrom Phiram, and Wat Bot districts in Phitsanulok Province. The analysis revealed significant changes in sugarcane plantation area throughout the 2023 growing season. Prior to the season (April 2023), the total sugarcane plantation area was estimated at 49,160.79 rai. During the peak of the growing season (November 2023), the area expanded considerably to 216,822.56 rai. Following the commencement of sugarcane harvesting by local factories in Phitsanulok Province, the cultivated area progressively decreased, reaching 87,779.43 rai by March 2024, before the start of the next planting season. Accuracy assessment yielded strong results: Kappa coefficients ranged from 0.78 to 0.95, producer's accuracy from 0.90 to 0.97, user's accuracy from 0.88 to 0.97, and overall accuracy from 0.91 to 0.98.

Development of Application for Communicate English Learning Course for Grade 2 Students of Khon Kaen Municipality Schools: Case Study of Ban Nonchai Municipal School

2024-12-15T11:04:10+07:00

The research aimed to 1) develop application for communicate English learning course for grade 2 students of Khon Kaen municipality schools. Case study of Ban Nonchai Municipal School 2) study the efficiency of application for communicate English learning course for grade 2 students of Khon Kaen municipality schools. Case study of Ban Nonchai Municipal School 3) study the satisfaction of application for communicate English learning course for grade 2 students of Khon Kaen municipality schools. Case study of Ban Nonchai Municipal School 4) to compare At Home English leaning unit achievement between using application and the traditional teaching method. Regards the system development, the ADDIE Model was used as a framework. The sample was selected from 2 classes of grade 2 students of Ban Nonchai Municipal School, using clustering sampling, which is divided into 2 groups: a control group and an experimental group. The statistics used to analyze data in this study comprised mean, standard deviation, and t-test.

The research results were found that 1) there are two sections of application, my home section and my family section, both sections include vocabulary screen, vocabulary pronunciation screen, vocabulary matching screen, dialogue matching screen and exercise screen 2) the expert efficiency of the application was at highest level and E1/E2 efficiency of the application was 80.84/83 3) the satisfaction of the application was at highest level and 4) English learning achievement taught by application was higher than taught by the traditional method with statistical significance at 0.05 level.