The purpose of this descriptive research was to study the information learning forms of students in Rajamangala University of Technology Phra Nakhon in Thailand 4.0. The sample was 380 students of Rajamangala University of Technology Phra Nakhon studying the first semester of academic year 2018. The research instrument was a questionnaire. The results showed that the students used information learning forms at a high level. Considering each item the students used information to generate the most reports. The students used information for relaxation and entertainment doing homework and knowledge exchange respectively. The students needed quality and specific content characteristics the source of information respectively. Most students required the information source that identified the source of the information or bibliographic information written from the authors direct experience compiled data from various sources and up-to-date information respectively. Most students required content from academic or scholarly authors comments or ideas and the concept or conclusion of the story. The students needed information learning forms in pictures on websites and YouTube respectively

This research aimed to this research aim: 1) to study the problems of the National Museums in Central Region of Thailand 2) to study The Guidelines of Marketing Development of Arts and Sciences Educational Attraction of the National Museums in Central Region of Thailand. This research is qualitative research with interviews. The researchers also studied theories involved from documents includes Marketing Mix (7P’s). The sample group used in this study is the officers involved in the Central National Museum. The tools used in this research are interviews. This research found that Products and services the three national museums products or antiques Is interesting and distinguished in itself. Service characteristics of the museum focus on providing educational services providing information to interested parties. The price of collecting admission fees and using the premises according to the regulations of the Fine Arts Department. Location convenient transportation both private cars and public transport. Marketing promotion there are books brochures brochures and information systems through computer networks. Personnel or employees there are good work intentions good service smiling. Physical environment the building is quite old. It should improve modern display techniques. Processes Group visits are usually contacted in advance in order to arrange a guest speaker. Suggestions for museum development Products and services should consider the enjoyment of the visitors learning including receiving details of meaningful signs. Location adding a sign showing a large museum entrance. Marketing promotion should advertise through various online media should organize creative learning activities. Physical environment should improve modern display techniques. Processes adding a tourist center help to inform visitors of the rules and regulations for visiting museums for proper conduct.

The research of strategic accounting information systems of technology and targeted industry groups to Thailand 4.0 was aimed at studying 1) strategic accounting information systems of technology and targeted industry groups to Thailand 4.0 and 2) factors related to strategic accounting information systems of technology and targeted industry groups to Thailand 4.0. The questionnaires were constructed as a research tool for collecting data from 400 entrepreneurs in technology and targeted industry groups. The data was statistically analyzed by frequency distribution percentage mean standard deviation and multiple classification analysis: MCA. The research findings indicated that most entrepreneurs in the technology and targeted industry groups were in food agriculture and biotechnology. Their capital to run business at the present time was between baht 1000001-1500000. The average number of employees was 4.75. They had income of baht 5000001-7500000 per year. Most of them employed companies or organizations to develop their own accounting information systems and their practicable period was 7.61 years. The capacity accounting information systems was totally at high level ( =3.64). Also the usability of accounting information systems was totally at high level ( =3.67) whose data collection was at =4.00 data processing at =3.66 data controlling at =3.53 and information generation at =3.51 respectively. The hypothesis testing results at statistical significance of 0.05 showed that the capacity of accounting information systems was the vital factor relating to data collection data processing data controlling and information generation and the annual income of entrepreneurs in strategic accounting information systems to Thailand 4.0 was related to data collection data processing and strategic accounting information systems to Thailand 4.0.

The objectives of this research were to propose a spatial analysis using Bayesian generalized linear mixed model for predicting drought in Thailand. The spatial effect was assumed to be a conditional autoregressive model (CAR model). The dependent variables was a drought or non-drought occurrence which was assumed to have a Bernolli distribution with logistic link function. Factors considered were rain temperature number of rainy days number of large reservoirs and number of medium reservoirs. The results show that the rain temperature number of rainy days number of large reservoirs and number of medium reservoirs influence on the drought occurrence. This study is useful for planning making decision preventing and remedying the drought problem.

The objectives of this research were to create a model for time sereries data prices and yields of natural rubber to be more accurate prediction and to compare the proposed model with the classical time series models such as the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model was a linear mixed model (LMM) consisting with trend autoregression outliers and sesonal terms. Dummy varialbles and Fourier seasonal effects were studied. Bayesian estimation was used and the estimated prices and yields were used for prediction. The results show that the proposed model with a Fouries seasonal effect is the most appropriated comparing with the dummy seasonal effect the Holt-Winters ES and the SARIMA having the least mean absolute values (MAE) both fiting and validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.