The objectives of this research is to study (1) The demographic of mobile users effected to mobile network’s decision making (2) The creating shared value of mobile network effected to mobile network users’ decision making. The sample population consisted of one thousand two hundred mobile network users. The instrument of research was a questionnaire. The Statistical Package for the Social Sciences (SPSS) for Windows computer program was applied for analyzing formulating and tabulating the data collected. The techniques of descriptive statistics used were percentage mean and standard deviation. Techniques of inferential statistics utilized were t-test one-way analysis of variance (ANOVA) in order to analyze differences between variables taken as a group. If there is a statistically significant differences found between pairs in a group Scheffé’s pair testing were deployed. Multiple Regression Analysis were applied in order to analyze the demographic of mobile users and creating shared value of mobile network effected to mobile network users’ decision making. The results were as following: 1. The all factor demographic of mobile users effected to mobile network’s decision making effected to mobile network’s decision making. 2. The creating shared value of 3 brands effected to mobile network’s decision making effected to mobile network’s decision making.

This research is aimed to establish the small wireless sensor network under the real environment. The objectives this research is aimed to study the data transmission and evaluate the data transmission performance of RPL protocol in wireless sensor network. Four nodes of wireless sensor network have been installation and transmissions between nodes in single-hop and multi-hop have been simulation for testing and analyzing data from the network following the transmission performance index. The research found that the number of hop and building environment are the principle factor to the performance of RPL protocol this might be the major limit to implement the RPL protocol in wireless sensor network

The research objective is to analyze usage and exposure of the social media network of Faculty of mass communication technology. A user need of the social networking censorship is based on a survey research. Samples used in the study - teachers alumni and students within the faculty total number is 306 people. Sampling was started in a fiscal year of 2014 with Stratified Random Sampling method. Statistics are used to analyze the data values in percentage average and standard deviation for One-way ANOVA and t-test (LSD). A result of this research shows that based on the findings issues can debate as follows: A usage of devices for surfing network of social media the most of smart phones account for the social media network at home of the time spent - common period turnarounds 20:01 to 00:00 hrs. A representation of a daily usage on network of social media is 4-6 hours/day. Equivalent today-per-week using of social media networks is active online every day. The smart phone is in use at all times. Meanwhile the popular social media network daily user accounts from experienced in the use of social media networks. Most of the more than four years representational use for news/information perception. The most common tool of online social media network is Facebook. Faculty’s people a use of social media networks Facebook applications take into account essentially. The exposure of the social media network can be specifically considered as: the streaming information perception of the faculty’s network of social media is moderate. Considering the news that graduation ceremony in 2013 social interaction with the media is moderate. It is considering whether to press “Like” button on Facebook user’s expression from media relating to the Faculty is the highest. The use of social media within the network is moderate.