The purposes of this research are 1) to create computer multimedia through the Internet teaching tool for lighting for broadcasting course (undergraduate level) 2) to develop and to find out quality the create computer multimedia through the Internet teaching tool for lighting for broadcasting course (undergraduate level) and to achieve efficiency according to a set of 90/90 criterion. The samples for this study were 48 second year students of Bachelor of Technology Program in Radio and Television Broadcasting Technology studying this course in the first semester of 2011 academic year at Rajamangala University of Technology Phra Nakhon. The samples were selected by simple random sampling. The research tools used are the computer multimedia through the Internet an achievement test evaluation forms for quality assessment. Statistics used for analyzing the data were percentage and mean. The results of the study revealed that the computer multimedia instruction through the Internet was ranked as a very good level by content experts and as a very good level by educational technology experts and had its efficiency of 94.80/96.60 it was higher than criteria set 90/90

he purposes of this research are 1) to create computer multimedia through the Internet teaching tool for lighting for broadcasting course (undergraduate level) 2) to develop and to find out quality the create computer multimedia through the Internet teaching tool for lighting for broadcasting course (undergraduate level) and to achieve efficiency according to a set of 90/90 criterion. The samples for this study were 48 second year students of Bachelor ofTechnology Program in Radio and Television Broadcasting Technology studying this course in the first semester of 2011 academic year at Rajamangala University of Technology Phra Nakhon. The samples were selected by simple random sampling. The research tools used are the computer multimedia through the Internet an achievement test evaluation forms for quality assessment. Statistics used for analyzing the data were percentage and mean. The results of the study revealed that the computer multimedia instruction through the Internet was ranked as a very good level by content experts and as a very good level by educational technology experts and had its efficiency of 94.80/96.60 it was higher than criteria set 90/90

The purposes of this research were to study demand forecasting and production planning. The case study company manufactured the fish sauce product that was made to stock. To design the system the sale data was studied in order to choose the appropriate forecasting technique for the sale data. After using the system with the company case study it revealed that the prediction system can forecast the production of 1126570 units in July 2008 whereas the total sales were 1134322 units. The difference was equal to 2718 units or 0.69 percent of the actual sales which was a total cost of 116280 baht which was more equivalent to the actual sales predicted by a sole experienced decision maker who predicted the production at 1274098 units. The difference was equal to 139776 units or 10.97% percent of the actual sales which mean 2096640 baht of total cost

The problem of this research is automotive part companies do not have order because of the world economic crisis and effect to automotive industry. Automotive and automotive parts demand in the world decrease. Automotive Industry of Thailand received affect. Automotive part companies cannot export to foreign markets. The companies in Thailand need the forecasting of automotive part quantity demanded by foreign markets by selecting the most accurate model. This paper presents the modeling for forecasting demand for automotive part of foreign markets to Thailand with time series forecasting techniques. In this study the automotive part are wheels and including parts and accessories because Thailand exported the most in group of automotive parts. These five countries have consistently demanded the largest number of wheels and including parts and accessories are Japan China South Korea Germany and Indonesia. The research involves historical collecting data for the period of 1997 to 2008. The evaluation function of forecast error is used with MAPE. The results reveal that each country suits for each model in term of the chosen dimension. The government can use the forecasting demand for effective production planning by informing manufactures.

This research aimed to design and construct a forecasting support system on demand of fresh durian of Thailand by applying 2 mathematical models which were Time Series model and Artificial Neural Network model in order to find an accurate model of forecasting support system on demand of durian yield to forecast durian yield quantity of Thailand in advance and use the forecast results to plan and determine quantity of fresh durian and durian product conforming with domestic consumption and export in order not to be over demand and cheap durian sold price. The forecast models were applied with Time Series model by using Moving Average Weighted Moving Average Single Exponential Smoothing and Holt’s Linear Exponential Smoothing techniques and Back Propagation of Artificial Neural Network model which used 4 input variables relating to durian yield. All of the forecast models were used to forecast total durian yield quantity in 26 provinces of durian cultivated area all around Thailand. Durian yield quantity data used was from 1996 to 2008. After that the forecast results were used to find the errors of MAE MSE RMSE and MAPE. Then the errors of each forecast model were compared. The forecast model which had the least error was the most accurate forecast model. The research result is following. Back Propagation with 4-8-1 structure of Artificial Neural Network model had the least error so that it was the most accurate forecast model to forecast fresh durian yield quantity in advance.