Thanatorn Chuenyindee
Dados Biográficos
| ID | 6562781 |
|---|---|
| NOME | Thanatorn Chuenyindee |
| PRENOMES | Thanatorn |
| SOBRENOME | Chuenyindee |
| ASSINATURA | CHUENYINDEE T |
| AFILIAÇÕES | Mapúa University |
| ORCID | 0000-0003-2724-9917 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 12 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2022 |
| ÍNDICE H | 1 |
Determining factors affecting preparedness beliefs among Filipinos on Taal volcano eruption in Luzon, Philippines
Predicting factors influencing intention to donate for super Typhoon Odette victims
Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines
Determining factors influencing students’ future intentions to enroll in chemistry-related courses
Chemistry-related courses cover a wide range of disciplines focusing on the application of Chemistry. The purpose of this study was to determine factors affecting student’s future intention to enroll in chemistry-related courses in the Philippines. A total of 953 senior high school students from the Philippines answered an online questionnaire consisting of 42 questions. Several factors, such as attitude towards laboratory, attitude towards chemi…
Preference analysis on the online learning attributes among senior high school students during the Covid-19 pandemic
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of Covid-19 Contact Tracing “MorChana” in Thailand
With the constant mutation of COVID-19 variants, the need to reduce the spread should be explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread of the virus. This study aimed to explore factors affecting the actual use (AU) of the application through the use of machine learning algorithms (MLA) such as Random Forest Classifier (RFC) and Artificial Neural Network (ANN). An integrated Protection Motivation Theor…
Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a Covid-19 Contact Tracing Mobile Application in Thailand “ThaiChana”
The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thailand. This study aimed to predict factors affecting the perceived usability of Thai Chana by integrating the Protection Motivation Theory and Technology Acceptance Theory considering the System Usabilit…
Utilizing Structural Equation Modeling–Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines
Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily part…
Factors Affecting the Perceived Usability of the Covid-19 Contact-Tracing Application “Thai Chana” during the Early Covid-19 Omicron Period
Thai Chana is one of the mobile applications for COVID-19 disease-control tracking, especially among the Thais. The purpose of this study was to determine factors affecting the perceived usability of Thai Chana by integrating protection motivation theory, the extended technology acceptance model, and the system usability scale. In all, 800 Thais participated and filled an online questionnaire with 56 questions during the early COVID-19 omicron pe…
Factors Influencing the Perceived Effectiveness of Covid-19 Risk Assessment Mobile Application “MorChana” in Thailand
COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integra…
Public utility vehicle service quality and customer satisfaction in the Philippines during the Covid-19 pandemic
Determining factors affecting preparedness beliefs among Filipinos on Taal volcano eruption in Luzon, Philippines
Predicting factors influencing intention to donate for super Typhoon Odette victims
Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines
Determining factors influencing students’ future intentions to enroll in chemistry-related courses
Chemistry-related courses cover a wide range of disciplines focusing on the application of Chemistry. The purpose of this study was to determine factors affecting student’s future intention to enroll in chemistry-related courses in the Philippines. A total of 953 senior high school students from the Philippines answered an online questionnaire consisting of 42 questions. Several factors, such as attitude towards laboratory, attitude towards chemi…
Preference analysis on the online learning attributes among senior high school students during the Covid-19 pandemic
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of Covid-19 Contact Tracing “MorChana” in Thailand
With the constant mutation of COVID-19 variants, the need to reduce the spread should be explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread of the virus. This study aimed to explore factors affecting the actual use (AU) of the application through the use of machine learning algorithms (MLA) such as Random Forest Classifier (RFC) and Artificial Neural Network (ANN). An integrated Protection Motivation Theor…
Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a Covid-19 Contact Tracing Mobile Application in Thailand “ThaiChana”
The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thailand. This study aimed to predict factors affecting the perceived usability of Thai Chana by integrating the Protection Motivation Theory and Technology Acceptance Theory considering the System Usabilit…
Utilizing Structural Equation Modeling–Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines
Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily part…
Factors Affecting the Perceived Usability of the Covid-19 Contact-Tracing Application “Thai Chana” during the Early Covid-19 Omicron Period
Thai Chana is one of the mobile applications for COVID-19 disease-control tracking, especially among the Thais. The purpose of this study was to determine factors affecting the perceived usability of Thai Chana by integrating protection motivation theory, the extended technology acceptance model, and the system usability scale. In all, 800 Thais participated and filled an online questionnaire with 56 questions during the early COVID-19 omicron pe…
Factors Influencing the Perceived Effectiveness of Covid-19 Risk Assessment Mobile Application “MorChana” in Thailand
COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integra…
Public utility vehicle service quality and customer satisfaction in the Philippines during the Covid-19 pandemic
Computer Science (9 obras) · Psychology (9 obras) · Structural equation modeling (7 obras) · Medicine (5 obras) · COVID-19 Digital Contact Tracing (4 obras) · Human–computer interaction (4 obras) · Usability (4 obras) · Applied Psychology (3 obras) · Applied Psychology (3 obras) · Artificial Intelligence (3 obras)