As one of the modern communication tools, the Internet has changed our society and communication rapidly. The significant growth of the Internet use is more than the population growth, which means that there is a possibility that everyone will get connected to the internet. APNTS as an educational institution provides an Internet connection inside the campus side. This is an opportunity to conduct research upon how the Internet use predicts communication behavior patterns among the resident students of the APNTS community. This study will help us to find out the phenomenon and communication behavior resulting from the Internet use among the resident students in the APNTS community.
Questionnaires were distributed to all the residential students through help of resident assistants. There were 42 (forty two) respondents out of the 44 (forty four) respondents who returned the questionnaires. The questions were asked based on the Combined Technology Acceptance Model and Theory of Planned Behavior (C-TAM-TBP) as the theoretical framework. --The variables used as a model of measuring this research cover the following areas: Background of the respondent (Demographic Data); Background of the Internet Use; Perceived Usefulness (PU) about using the Internet; Perceived Ease of Use (PEOU) about using the Internet; Subjective Norm (SN) include: Social Influence and Facilitating Condition about using the Internet; Self-Efficacy (Perceived Behavior Control) about using the Internet; Attitude Toward Behavior about using the Internet; How To Make Full Use (Behavioral Intention) about using the Internet; Actual Behavior (AB) about using the Internet; and an Open Ended question which allowed respondents to write anything that relates to Internet use. --This research applied the Pearson Correlation Co-efficient tests for the statistical treatment of the data. The Cronbach alpha test was applied to reliability and may be used to describe the reliability. Bivariate Correlation Test to determine Pearson Correlation Co-efficient (r). The new variables were made in a group in each section of the questions. A standardized beta (?) co-efficient, R-square (r2) and adjusted R-square are found by running multiple variable of linear regression. The result is used to test the null hypothesis.
This research gives these conclusions: The main hypothesis is rejected because there is moderate correlation between the Internet users' background and actual use; then there is low correlation between the actual use and future self-predict of Internet use. With sub null hypothesis tested: The first sub null hypothesis is rejected. The second sub - null hypothesis number four is partially accepted. It is because there are still very small correlations but it does not show any linear relationship in between. The third sub null - hypothesis is rejected. And the fourth sub null - hypothesis is rejected. There are 3 (three) main issues for the open ended question in this research: 1) The Internet is a very useful tool, 2) The warning about the Internet use and 3) The Internet connection and facilities in APNTS. --Generally, the users' background of Internet use will have positive correlation with the actual use of Internet. And the actual use of the Internet will have positive correlation with the future self-prediction behavior. This is also true even in the religious community.