The purpose of this study was to Evaluation of Curriculum for the Bachelor of Science Program in Computer Technology of Rajamangala University of Technology Phra Nakhon. The CIPP Model was used as evaluated model. The samples in this research were 125 undergraduates 14 Instructors 17 graduates and 11 employers of graduates. The 4 questionnaires of rating scales was used as the research instrument. Percentage mean standard deviation were statistical method to analyze data. The results were as follows: 1. The samples agreed with the Context Evaluation in the aspect of curriculum objectives curriculum structure curriculum content were in moderate levels. 2. The samples agreed with the Input Evaluation in the aspect of Characteristics of undergraduates and Characteristics of instructors were in high levels supporting education was in moderate levels. 3.The samples agreed with the Process Evaluation in the aspect of curriculum Management. teaching Management experience training were in high levels . 4 . The sample’s satisfaction towards Input Evaluation in the aspect of professional knowledge and Professional Characteristics were in moderate levels Ethics was in high levels .

The purposes of this research were to study and compare the factors leading to the effective of Co-operative Educational Programs to develop the Co-operative educational programs of Rajamangala University of Technology Phra Nakhon (RMUTP) more effectiveness and efficiency. The populations of this research were 2064 people included the Co-operative Education student Co-operative Education supervision and the company’s staffs that looked after the students who were attended to the Co-operative Education project. The research tool was questionnaire and the data was analyzed by using frequency percentage mean standard deviation T-test Independent One-way ANOVA and analysis of the difference with the method of Sheffe by determining the level of significance statistic of 0.05.

Study on the inhibition of germination and growth of weeds in rice fields. The extract from the leaves of Xy/ocorpus gongeticus Parkins and Porinori onomense Hance using fermentation Maceration and extraction techniques for Sequential Extraction with three types of solvent hexane ethyl acetate and methanol. The resuLts showed that Leaf extract of Xy/ocorpus gongeticus Parkins with ethylacetate at a concentration of 2000 -3000 ppm showed the highest inhibition of germination and growth of weeds. When the substance to be separated by chromatographic techniques showed that the extracts inhibited the germination and growth percentage of Fl is the highest. Leaf extract of Porinori onomense Hance with hexane at a concentration of 2000 3000 ppm showed the highest inhibition of germination and growth of weeds. When the substance to be separated by chromatographic techniques showed that the extracts inhibited the germination and growth percentage of F4 is the highest. Which can be used for research and development of natural products from plants to control weeds in rice fields to develop further research to commercialization

According to the studying this research absorbance detection system for flow injection analysis system was constructed by using syringe pump so the problem of bubbles in the system was solved successfully. The principle of the test-kit based on pushing the solutions into the system using double two ml syringe pumps. The solutions were mixed at mixing coil then the solution of the sample was inserted automatically by using six-port-valve. The detector was built from light-emitting-diodes (LEDs) with the wavelength at 620 nm. The product solution in cuvette was exposure then the light energy was transferred to electric current by photo-diode. The electricity was changed to voltage to micro-controller. The absorbance was calculated. The results absorbance and flow rate were controlled by utilization of Labview software. The absorbance of the samples from the developed system was compared to the commercial spectrophotometer. The mean absolute percentage error of the flow rate was 1.2%.

The objectives of this research were to investigate risk factors for Dengue fever in Thailand and to select an appropriate model. The generalized estimating equation (GEE) whose dependent variable has a Poisson distribution and a negative binomial distribution were studied. The secondary data consisting of the number of Dengue fever patients rainfall average temperature forest area household income were collected. Regions and seasons were also considered. The research found that the GEE whose dependent variable has a negative binomial is more appropriate to be used for Dengue patient data analysis. Central region and the season during Feb-Apr were assigned to be reference groups. Risk factors for Dengue fever were rainfall (Relative Risk (RR) = 1.0009) average temperature (RR = 1.1736) forest area (RR = 1.0482) southern region (RR = 2.7390) eastern region (RR = 2.0489) western region (RR = 1.4051) the season during May-Jul (RR = 3.0526) and Aug-Oct (RR = 3.2677)