This research aims to study the using oil palm fiber to develop ceiling board product. The mixture ratios of Gypsum plaster: oil palm fiber: tap water: catalyst are 1 : 0.15 : 1: 0.03 1 : 0.20 : 1: 0.03 1 : 0.25 : 1: 0.03 1 : 0.30: 1: 0.03 and 1 : 0.35 : 1: 0.03 by weight. The ceiling board samples are cast in 30 x 30 x 1 centimeter in dimension. The ceiling board sample testing follows the TIS 219-2552. The results show that the longitudinal and lateral breaking load Nail pull resistance density and thermal conductivity of ceiling board with high quantity of oil palm fiber are lower than ceiling board with low quantity of oil palm fiber while that the deflection and water absorption of ceiling board with high quantity of oil palm fiber are higher. However all of oil palm fiber samples with lower than 0.2 of ratio can pass the standard.

This research study (Communication to Create the Imageof Public Relations Department through its Website) included three main purposes: 1) to study demographic characteristics of PRD’s website users which impacted on news exposure through PRD’s Website 2) to study demographic characteristics of PRD’s website users which affected the Public Relations Department’s image 3) to study the news exposure of PRD’s website users which influenced the Public Relations Department’s image. The participants in this study involved 400 people who have visited PRD’s website. To collected data the researcher adopted electronic questionnaires as a research tool and also made use of Descriptive Statistic Frequency Percentage Mean Standard Deviation (S.D.) and Inferential statistics to investigate the relationship. Moreover Chi-Square was implemented to test the hypotheses that the significant level was 0.05. The research results revealed that questionnaire responders mostly were 21 to 30- year-old males with a bachelor’s degree. Their occupations were government officers and public officers. The questionnaire responders mostly visited PRD’s website through the popular search engine: www.googel.com. Moreover they usually visited PRD’s website six times a week and spent more than 30 minutes at a time between 7 p.m. – 12.59 a.m. The Public Relations Department’s image was in a very significant level. After testing hypotheses the results showed that occupations were an influential factor on news exposure through PRD’s website. Gender and education background had an impact on new exposure and frequency of PRD’s Website usage. In addition educational level influenced time spending on visiting PRD’s website. Occupations were related to the period of exploring PRD’s website. Furthermore gender had an effect on PRD’s image and news exposure in terms of approaching channels to PRD’s website affected PRD’s image

This research aims to study the using oil palm fiber to develop pseudo-plywood from polyethylene product. The mixture ratios of oil palm fiber : polyethylene are 50 : 50 55 : 45 60 : 40 65 : 35 and 70 : 30 by weight. The pseudo-plywood samples are cast in 30 x 30 x 1.5 centimeter in dimension. The pseudo-plywood sample testing follows the TIS 966-2547. The results show that the density bending strength modulus of elasticity thermal conductivity and tension perpendicular to surface of pseudo-plywood with high quantity of oil palm fiber are lower than pseudo-plywood with low quantity of oil palm fiber while that the water absorption and swelling by density of pseudo-plywood with high quantity of oil palm fiber are higher. However all of oil palm fiber samples with lower than 65 of ratio can pass the standard.

The objectives of this research were to: 1) study motives affecting a consumer in purchasing food trucks in Bangkok 2) study marketing mix influencing a consumer in purchasing food trucks in Bangkok 3) study consumers’ buying behavior towards the purchase of food trucks in Bangkok. The samples for this research were 400 customers who were deciding to buy food trucks and who used to buy and consume food trucks. The tool used to collect data was a survey questionnaire. Data was analyzed by using descriptive statistics to determine percentage mean and standard deviation as well as inferential statistics including multiple regression analysis for analyzing data and testing the hypothesis at the statistical significant level of 0.05. The research results revealed that the majority of respondents were female aged between 21-30 years and private employees who had average monthly income at 10001- 20000 baht. They typically had a bachelor’s degree or a diploma. They tended to purchase food trucks less than or equal to 3 times per month and spent 101-200 baht each time. The most popular type of food trucks was beverage. From samples motives and marketing mix were significant towards the decision in purchasing food trucks. Hypothesis test showed that product buying motives rational buying motives emotional buying motive and patronage buying motives influenced the decision in purchasing food truck in Bangkok as well as marketing mix that product price place and promotion also influenced the decision in purchasing food truck in Bangkok.

The objectives of this research are to propose an approate and efficient model for analyzing rice corn and sugar yields data. A linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) was adopted. The results show that for rice yields if the amount of rainfall in a harvest season increases 1 mm the yields will decease by 25.74 tons. if the temperature in the harvest season increases 1 Celsius the yields will decease by 212.60 tons and according to the trend the yield will increase by 15.80 tons each year. For sugar cane yields if the amount of rainfall in the harvest season increases 1 mm the yields will decease by 51.35 tons. if the temperature in the harvest season increase 1 Celsius the yields will incease by 121.30 tons and according to the trend the yield will increase by 29.93.80 tons each year. For corn yield if the amount of rainfall in the havest season increases 1 mm the yields will incease by 73.45 tons. if the temperature in he havest season increases 1 celsius the yields will decease by 40.44 tons and according to the trend the yield will increase by 1.74 tons each year.