The objectives of the study were to develop online article submission system of the Journal of Mass Communication Technology RMUTP and assess the appropriateness of then online article submission system of the Journal of Mass Communication Technology RMUTP. The program used to develop online article submission system using WordPress. The data was collected from a sample of 30 users who was evaluation the system. Data was analyzed by mean and standard deviation (S.D.). The results showed as follows: online article submission system of the Journal of Mass Communication Technology RMUTP was appropriate at a high level.

This research has focused on the efficiency of using online media computer graphics based on concepts and theories of learning networks for students in computer science faculty of science and technology Rajamangala University of technology Phra nakhon because at present the network access can be accessed anytime the researcher has the idea to measure the effectiveness of learning in computer graphic courses. that students will have much interest 1) The population of this study consisted of 30 undergraduate students who attended the Computer Education and Training subject. The instruments utilized to design the lesson included. Tools used to develop lessons consist of a system LMS 2) The tools employed in evaluating quality of the online lesson consisted of the learning management plans a 20-item pre-and post-test an authentic assessment with rubric scores and a students’ satisfaction questionnaire. The results revealed that 1) The efficiency of the online lesson constructed was at 85/84 which was higher than the criterion set (80/80) 2) The students’ learning achievement was higher at .05 level of significance 3) The students’ satisfaction on the online lesson was at high level 4.31

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.