The purpose of the study on decision making to buy Arowana fish online was to investigate the customers’ purchasing behavior on Arowana fish through online selling channels. This is a survey research study and the tools used in the study were the online surves generated from the review of relevant research papers. The data were analyzed from 311 customers using frequency mean standard deviation K-Mean clustering grouping. The research result revealed that most of the customers were males between 31-40 years old with buying reasons for the beauty of the fish called Malaysian Golden Arowana with the price between 5000 - 10000 baht. According to the study on the factors affecting the decision to buy Arowana fish via the online channel the respondents had a high level of decisionmaking on marketing mix in all aspects including the product physical environment price distribution channel process marketing promotion and person. It was found that male behavior was different from the female in terms of the price to purchase which was less than 5000 baht. It was also found that they were from all ages with the same reasons to buy fish for its beauty. However the fish species purchased and prices varied according to the age range. The respondents who were less than 20 years old bought high back Arowana fish for the price of lower than 5000 baht as well as those from 20 to 30 years old. The customers who were 31 - 40 41-50 51-60 and over 60 years old bought golden Malaysian Arowana on the price ranges from lower than 5000-10000 baht 20000 baht or more 5000 baht and lower and 10000 - 20000 baht respectively. By segmenting customers by means of K-Mean Clustering it was found that in Group 1 the majority were males aged 41- to 50 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of 5000 - 10000 baht. Group 2 was mainly males 21 - 30 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of lower than 5000 baht. Group 3 was mainly males who were 21 to 30 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of less than 5000 baht. The fourth group was all males aged from 31 to 40 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of 5000 - 10000

Video File Online Managing System Project is developing for improve management of video file in internal database. This system would be comfortable and reachable for all users of Faculty of Science and Technology. The system could be reachable sequence and input comments to video file. File Storage system has been developed on web application by PHP scripting language MySQL and FFMpeg for adjustment file. Video File Online Managing System could beachieve target of project

Photo Online Management System. The System was developed to facilitate the management of photo within The Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon. Such as photo uploading and downloading. This system is developed by using PHP AJAX CSS and jQuery including MySQL Data Base Management System. Development system by Web applications. To help Resource management a photo and to share the photo with anyone who wishes. By admin as administrator. The system integrity test. Test results was correspond to all defined scopes and the system performance. Test results can upload photo.

Online marketing is marketing in the online media. The main objective is to make known the increase by different methods to sales the goods and services which present our products to the public by social media. So that others can recognize and generate interest then they use services or purchase our products in the most. The Online Marketing is sends a message to mass recipients. In todays society we can classified consumers into three generation; Generation X generation Y and generation Z when we know the characteristics of the recipients marketer will send the message with social media to correctly understanding and more convenient. This is the duty of the marketer to understand the behavior of Generation XYZ and creation to consumer acceptance Adoption of Innovation and Technology Innovation diffusion and adoption of innovation. In order to plan for online marketing success under the terms of the innovation itself.

This study was aimed to study the demographic characteristics of who decided to shop online to explore working-age people’s internet behavior and to investigate the demographic factors influencing internet shopping decisions. The population and sample used in this study were working-age people drawn from Snowball Sampling method. The questionnaire used was distributed through the internet to 400 respondents. The data were collected and analyzed by the computer program through the statistical analysis including frequency percentage mean () standard deviation (S.D.) and two-way analysis (ANOVA). The research results revealed that Marketing mix factors affected the internet shopping decisions of the working-age people in general at high level (= 4.13 S. D. = 0.430) . When looking into each aspect it was found that the price factor highly influenced the online purchasing decisions (= 4.16 S. D. = 0.463) . followed by the product factor (= 4.13 S. D. = 0.452) which was also considered at high level. The promotion factor had high impact on online shopping decision (= 4.13 S. D. = 0.422) as well as the distribution channel (= 4.13 S. D. = 0.386). The result regarding the relationship revealing gender and age (F = gender *age (1357) = 7.128 p < .05 ) had a significant effect on online shopping at the .05 level. Gender * and occupation (4357 ) = 1.503 p < .05 ) had influence on decisions to online shopping with statistical significance at .05. Occupations and income (F * occupation * income (1357) = 11.487 p < 0.5 ) could influence decision making on the internet shopping with statistical significance at .05. Also the relationship between gender and occupation (F * gender occupation ( 4357 ) = 5.237 p < .05 ) had an influence on the choice of the internet shopping decision on price at the .05 level; the relationship of gender and occupation (F * sex occupation ( 1357 ) =8.000 p < .05 ) influenced the decision to shop on the internet in terms of marketing promotion at the .05 level of significance.