The objectives of this research were to propose a model with some functions including CAR spatial effects and to select a proper model for predicting rince and rubber yields in southern provices of Thailand. A linear mixed model (LMM) with spatial effects and dummy varables and Fourier seasonal effects was proposed. Bayesian estimation was used and the estimated rice and rubber yields were used for prediction. The dependent variables were rice and rubber yields in southern provinces of Thailand. Factors considered were rain temperature soil fertilizer soil organic matter trend and also sesonal effects. The results show that rain temperature soil fertilizer soil organic matter trend and sesonal effects influence on rice and rubber yields. The proposed model with Fourier seasonal term is the most appropriate comparing to the model with dummy variable for season effects and the Holt-Winters model. Therefore the proposed model with Fourier sesaonal term should be the first consideration for prediction.

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.

This research project aim to develop method for analysis of gamma-oryzanol in rice bran with environmental friendly solvent. The total content of gamma-oryzanol in rice bran was investigated using the combination between partial extraction method with ethyl lactate solvent and the study of factors on partial extraction. The parameters that effect the amount of gamma-oryzanol with partial extraction method consist of weight of rice bran volume of solvent and extraction time were conducted. The result shown the maximum content of gamma-oryzanol that extracted with 50 milligrams of rice bran 5 milliliters of ethyl lactate and 2 minutes of extraction time. The quantity of gamma-oryzanol in rice bran that observed using partial extraction method with ethyl lactate solvent and classical extraction method were 4.23 and 4.32 milligram per gram rice bran respectively. The results from both extraction methods were well agreement. When the extracted rice bran was separated with High Performance Liquid Chromatography the result shown the main compositions of extracted rice bran including cycloartenyl ferulate 24-Methylene cycloartanyl ferulate and campestanyl ferulate. The develop method for analysis of gamma-oryzanol in rice bran using partial extraction with ethyl lactate solvent is easy use only small apparatus in laboratory cheap short-time consuming and use environmental friendly solvent.

The objective of this research is to study the factors affecting the academic position of faculty members of the faculty of science and technology Rajamangala University of Technology Phra Nakhon which consists of 5 divisions; Division of Environmental Science and Technology Division of Industrial Materials Science Division of Computer Science Division of Science and Division of Mathematics and Statistics. By using SWOT Analysis tools it is found that the main strengths are the progress in the professions increasing of the development of their knowledge potential and fame. The main weakness is the lack of understanding of how to write teaching documents lack of time and lack of interesting research topics. An opportunity is the mandatory criteria of the university. The faculty has financial support for academic positions and other rights from academic positions. The threat is the lack of research budget. The faculty does not have specialized counseling officers and frequently change the assessment criteria. We use the results of the SWOT analysis to group relationships with the TOWS Metrix tool analyzed in the form of a matrix relationship to define different types of strategies to suggest the results of the study in formulating policies to help support and encourage faculty members of the faculty that can further be determined for academic.

The main objective of this research is to study the factors that affect the work efficiency of personnel. Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon This will lead to suggestions for the development of personnel to be more efficient in their operations. Data was collected between October 2018 and September 2019 which was a survey research using a questionnaire consisting of 4 parts: 1) general information of the respondents which was demographic characteristics 2) Satisfied with the operational efficiency 3) quality of working life and 4) Other suggestions with a sample of the research as Personnel under the Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon amount 50 people. Data analysis used descriptive statistics for demographic data. And use statistical methods for analysis of relevant factors and testing hypotheses. The results of the study showed that the factors of work success of the Faculty of Science and Technology personnel Rajamangala University of Technology Phra Nakhon Able to work according to the set goals Without having a backlog And proud of the work Able to solve immediate problems Which is considered to be very good therefore Faculty of Science and Technology Should focus on personnel development in the workplace In order to further improve the operational efficiency of the personnel.