This research aims to 1) analyze the SMEs 4.0 market management factors for Thai clothing brands among generation Y 2) to study personal factors affecting the SMEs 4.0 market management for Thai clothing brands among generation Y and 3) to generate the SMEs 4.0 market management model for Thai clothing brands among generation Y. This study uses qualitative and quantitative research methods. In-depth interviews served as a qualitative data collection methodology. Seventeen participants were grouped into experts stores managers and specialist contemporary Thai clothing brands. For the quantitative data collection methodology the researcher used questionnaires with a specific group of 430 Generation Y male and female participants who used to purchase or frequently purchase Thai clothing brands. To analyze data percentage mean and multiple classification analysis with a statistically significant level at 0.05 the researcher used G*power. Furthermore it was analyzed if the results were consistent with the qualitative data. The research results show that market management factors significantly relate to Thai clothing brand customers’ purchasing behaviors. These factors include purchasing rationale factor purchasing motivation factor brand management factor and demand management factor. The research findings link to the best practices in the market management model both online and offline markets and sustainable development in 5.0 society including 1) a rapid technology replacement 2) adding creative value to the society 3) natural harmonization management and 4) sustainable development.

Nowadays artificial intelligence is being used in a growing variety of applications. Whether in public health the areas of cybersecurity agriculture finance and many others have resulted in the countrys rapid development. In spite of the leap in progress but the problem of thefts increased steadily. According to the statistics collection in 2011 there were 152228 crimes and 92.5% of the property incidents occurred. The injured person will know the cause later and tracking the villain quite difficult development of home intrusion detection devices with Line notifications as a way to proactively alert when such an event occurs. Based on the principle of artificial intelligence to help it.

The objectives of this research 1) To study the media exposure behavior the satisfaction of media relations travel decision-making behavior. 2) To study the satisfaction of media relations tourist program toward the media exposure behavior 3) To study the satisfaction of media relations tourist program toward travel decision-making behavior. The sample population consisted of 400. By using online questionnaires to collect information. In hypothesis testing statistical used Pearson’s Coefficieal Analysis at statistical significance level of 0.05.The results of this research found 1) The media exposure of media relations tourist program positive effect on travel decision-making behavior at statistical significance. 2) The satisfaction of media relations tourist program positive effect on travel decision-making behavior at statistical significance. 3) The media exposure behavior relations tourist program positive effect on travel decision-making behavior at statistical significance. By variable the media exposure of tourist program the media exposure behavior relations the satisfaction and the most satisfaction of tourist program relations effect on travel decision-making behavior.

This project was made in topic “The Development of Internet Management System in The Form of Programming Via API Internet : A Case Study of BanTiLiaPa Border Patrol Police School” aims to develop the internet system management to be efficient and facilitate the internet system management easier. This system is working through Mikrotik internet network that developed by using PHP to design website to improve the users. For using Bootrap for to design website as well as design the system by using Atom program to edit coding in the internet system management website page. The study found that This system can work to cover the educational objectives that have been laid. Can be used to develop the internet management system very well And also helps to facilitate the management of the internet system

This research aims to study the demographic characteristics affecting the decision to buy home furniture through mobile applications for Gen Y consumers and study the marketing mix 7 P’s and digital marketing model that affect the decision to buy home furniture through mobile application of Gen Y consumers. The population used in this research is population born between 1980 and 1997 are now between 24-41 years old live in Bangkok amount of 1453477 people the data were collected from 400 samples. The sample size was calculated following the Taro Yamane method.The descriptive statistics used were frequency percentage mean standard deviation (SD) and Inference statistical such as the difference analysis of the mean of the 2 sample groups (Independent Sample T-test) difference analysis for sample mean of more than 2 groups by one-way analysis of variance (One-Way ANOVA) and multiple regression analysis (Multiple Regression). The research results indicated that 1) the demographic characteristics such as gender and age had no impact on the overall decision-making to buy home furniture through mobile application of Gen Y consumers. In contrast marital status level of education career and income had an overall effect on the decision to buy home furniture through mobile applications for Gen Y consumers 2) Furthermore the marketing mix 7 P’s consisting of product price promotion process physica presentation and digital model on the overall effect the decision-making to buy home furniture through mobile applications. Moreover digital marketing model content marketing website creation assisted marketing e-mail marketing and online marketing impact the decision-making of buying home furniture through a mobile application. It was recommended that since the marketing mix especially product price and promotion affected the overall decision-making of buying product. Therefore if home furnitures are sold through mobile application content marketing must be developed at the highest level followed by social media marketing and email marketing had the most negligible positive impact on the overall buying decision-making and every factors