This is an independent study on greenhouse gas emissions and ways to reduce them. A five-star resort in Koh Samui Surat Thani province has been used as a case study. The study used digital tools to gather information on activities that cause greenhouse gases and energy consumption at the resort. The calculation of carbon footprint is in line with the guidelines of the Thailand Greenhouse Gas Management Organization. Digital systems help data collection and carbon footprint analysis and this is best done at set intervals. For example digital systems can monitor power consumption every 15 minutes measured in real time. The carbon footprint maximum emission each day occurs between 2.00 and 4.00 pm the peak time of energy consumption. Use of electricity is the activity that produces the highest amount of greenhouse gases at a total volume of 4215.1 tonCO2-e per year or 88.12% of the total activity. LPG gas consumption produces the second largest volume of greenhouse gas emissions at 412.8 tonCO2-e per year or 8.63% of the total activity. From January to December 2017 the carbon footprint emission is 4783.5 tonCO2-e and the average emission per room night is 4.2 tonCO2-e. The study found that a 10% reduction in energy Consumption could reduce greenhouse gas emissions by 421.52 tonCO2-e per year or 0.4 tonCO2-e per room night.

The objectives of this study were to 1) study the satisfaction of users of the Treasury Division Rajamangala University of Technology Phra Nakhon and 2) to compare the satisfaction of users of Rajamangala University of Technology Phra Nakhon according to their personal classification. Thedata were collected from a sample of 214 people. The tool used for collecting data was a questionnaire and the data analysis was performed using frequency percentage mean standard deviation and One-Way ANOV). Scheffe was applied to test the differences of each pair. The results of this research revealed all four aspects of the satisfaction of users of the Treasury Department of Rajamangala University of Technology Phra Nakhon which included the: staff service process of service process facilities and service quality at a moderate level.

The study on the relationship between financial ratios and returns from stock price ratios in the Market for Alternative Investment (MAI) aims to study the relationship between financial ratios and returns from the stock price ratio on the Market for Alternative Investment (MAI) and to the relationship between financial ratios and returns from the ratio of stock prices in the primary market The MAI of the companies with a high yield and the companies with low yield. The data is collected from 32 companies 151 samples listed on the Market for Alternative Investment (MAI). They are separated into 74 high-yield companies and 77 low-yield companies. The data is analyzed using descriptive statistical analysis including mean and standard deviation and inferential statistics including Pearson’s Correlation Coefficient Analysis and multiple regression analysis. The results showed that the working capital ratio (Log10CR) and net profit to equity ratio (ROE) were positively correlated with stock price ratio. The fast working capital ratio (Log10QR) and the net profit margin ratio (ROA) have a negative relationship with stock price ratio. The net profit margin (NPM) and the operating profit to income ratio (OIM) have no relationship with the share price ratio.