The study on beauty salon users’ decisions and behaviors in Maung district Nonthaburi was aimed to (1) investigate the beauty salon users’ personal factors (2) explore their decision levels (3) look into their behaviors (4) compare the decision levels according to the personal factors and (5) examine the relationship between the personal factors and the behaviors. The samples in this study were 400 beauty salon users’ selected through non purposive sampling nonprobability sampling and quota sampling. The questionnaire was administered to obtain data and the statistics used to analyze the data were frequency distribution percentage distribution mean standard deviation t-test and One-way ANOVA. Cross-Tabulation was applied using statistical package for social science. The study results revealed that most of the samples were single females ranging from 20 to 30 years of age holding bachelor degrees. Most of them were employed by companies with the average income salaries ranging from 5000 to 10000 Baht. The data analysis indicated that the decision level towards marketing mix factors of the 400 beauty salon users was high; and in terms of their behaviors concerning the use of the beauty salon showed that they went to the salon mostly to have their cut and set with the minimum of 500 baht payment. The purpose of going there twice to three times per month was to promote their personality and gain more confidence. They normally went there in the evening (from 4 pm. – 7.00 pm.) spending one to two hours and paying with cash. The personal factors of the beauty salon users affected the level of decisions made to go to different beauty salons. The personal factors of the beauty salon users related to the behaviors of the beauty salon use.

The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

The purposes of this research were to (1) investigate factors which have impacts on working-age people’s decision making to save money in Bangyai district Nonthaburi Province (2) study working-age people’ behavior in decision making to saving money in Bangyai district Nonthaburi Province (3) compare the importance of factors that affect to the working-age people’s decision making in saving money in Bangyai district Nonthaburi Province.The sample of the study consists of 400 people (ages 20-60 years old). The research instruments used for data collection were the questionnaire. The reliability data were analyzed by using frequency percentage means and standard deviation of t-test (Independent t-test) F-test (Independent sample F-test) and Content Analysis. The results of the study revealed that: The mainly respondents are female being over 30-40 years old having single status and education background in bachelor degree. Moreover the respondents are working as an employee of the private company the average income per month over 10000-20000 baht and family members around 3-4 people. The respondents pointed out similar saving money to use after retirement and deposit with banks in short term saving. The respondents will spend first then keep the rest of the money to saving and they have money savings less than 10%. The working-age people’s decision making to save money in Bangyai district Nonthaburi Province was at a moderate level. Two factors of decision to saving (1) income from savings and (2) saving characteristics were at a high level. Besides four factors of decision to saving (1) security (2) yield upon investment (3) incentives for saving and (4) social and economy were at a moderate level. There was low positive statistical significant relationship between the differences of age marital status education level occupation average monthly income family members purposes of saving savings schemes and factors affecting working–age people’s decision to saving at 0.05 However the respondents who have the differences of gender period of saving saving method and saving ratio focused on the factors of decision to saving at no difference.

The shallow water model is a mathematical model was developed from the shallow water equations. It consists of the continuous flow and the momentum equation of non-linear in the x-axis and y-axis. The boundary conditions of the model is the cyclic continuity from east to west and the open boundary conditions from north to south. The northeast monsoon forecast by the shallow water model can’t be predicted in a long time period because the boundary conditions of the model has a problem. Thus improvement the boundary conditions of shallow water model by using wall boundary condition from north to south. The results of this research to found that the shallow water model can correctly forecast the northeast monsoon period in the long term.

The development of processed pineapple product for export to promote extra income of high school students in Muang district Chaiyaphum province. The purpose of this research is to develop the quality of processed pineapple products which has been tested by Randomized Complete Block Design (RCBD) method at 95% trusted evaluated by 9 point Hedonic scale sensual quality tasting by 70 people compared the means difference by Duncan’s New Multiple Range Test (DMRT) and analyzed the results by the statisticcomputer software. The processed pineapple products are pineapple filling cookies instant pasteurized pineapple juice and chocolate coating dried pickled pineapple. These products are subjected to simple preparation and advantageous for high school students to earn extra income from the production. The chemical quality analysis of pineapple filling cookies consists of 15.6 percent of humidity 4.21 percent of protein 15.6 percent of fat 0.99 percent of ash 1.98 percent of fiber and 67.6 percent of carbohydrate. The total energy is 428 kilocalorie total microbe (TPC) is microbe<10 CFU/g or less than 1x103 colony per 1 gram of example. The storage lifetime extends up to 2 weeks from the production date. The instant pasteurized pineapple juice has total 57.6 kilocalories of energy 13.6 percent of carbohydrate 0.34 percent of protein 0.04 percent of fiber 0.39 percent of ash and 85.7 percent of humidity. The high level of humidity which contains individual liquid quantity in the product will increase the risk of spoilage from microbe. The total microbe (TPC) has microbe <10 CFU/g and specified the number of total microbe must be lessened than 1x103 colony per 1 gram of example. Conclusion the instant pasteurized pineapple juice can be stored at 8-10 degree Celsius for 2 weeks from the production date. The study of dried pickled pineapple physical quality indicates that color components are as followings; brightness (L*) equals 49.79 which is in high level color balance (a*) equals 11.44 which means the dried pineapple has yellow color tasty represents in green section and color balance (b*) equals 33.50. The procession of the product by coating chocolate onto dried pickled pineapple has 16 percent humidity of total weight. The total microbe (TPC) has microbe <10 CFU/g and specified the number of total (3) microbe must be lessened than 1x103 colony per 1 gram of example. Conclusion chocolate coating dried pickled pineapple can be stored at room temperature for 2 weeks from the production date. The research respondents have the most satisfaction for the study to apply the information to utilization in the mean of 4.80. Secondary the value compared to time and cost in the both mean of 4.50 which has the most total average mean in the high level of 4.33.