6 pages., via online journal., This research was conducted to find out the influence of agents on the results of empowerment of farmers, the effect of recipients on the results of the farmer empowerment, the effect of agricultural extension on the results of the farmer empowerment, and the influence of agents, recipients, and agricultural extension on the results of farmer empowerment. This research was carried out in May to July 2017. Quantitative descriptive method was applied by using primary and secondary data. Primary data obtained from interviews with 24 respondents who applied integrated crop management technology (PTT) on paddy fields. Technique of interview was guided with questionnaires while secondary data was taken from some literature work and relevant agencies. The results showed that: there is positive and significant influence between the agents and farmer empowerment, there is positive and significant influence between the recipients on the farmer empowerment, there is positive and significant influence between agricultural extension on the results of the farmer empowerment, and there is positive and significant influence between the agents, recipients, and agricultural extension on the results of farmer empowerment.
8 pages., via online journal., ow internet usage by extension agent, impact on the inhibition of the flow of information to the farmers and lead to the income received by farmers. In the digital era today, if the extension agent is not encouraged to use the internet then they will be left behind and will be left out by the farmers. This study aimed to (1) analyze the internet availability in Lampung Province (2) to analyze the level of internet usage for extension agent in Lampung and (3) to analyze factors influencing internet usage of extension agent. This research was conducted in Lampung Province with analysis unit of extension agent in the office of BP3K (Extension Agency of Agriculture, Fisheries, and Forestry) which has been facilitated by computer and internet network. Respondents consisted of 355 extension agent served in BP3K. Multiple Linear Regression Analysis was used to determine the effect of independent variables on the dependent variable. The availability of facilities and internet network in Extension Offices is not sufficient even extension agent used their private facilities. The Internet network had reached the remote areas very well in spreading and transmitting information. Almost all extension agent have internet-connected devices and internet-based applications. Extension agents facilitated by computer and internet network communicating using social media, however capabilities in using the internet to search information related agricultural technology remained low. The use of the internet by extension agent was influenced by the nature of internet innovation, the number of Internet-based applications and the amount of existed hardware.
6 pages., via online journal., Technology Acceptance Model (TAM) is commonly applied to analyse contributions of determinant variables on the adoption of communications technology. However, identifying external variables that affect technology adoption need to explore. This research is aimed to identify the role of education variable in the technology adoption. The study was conducted by survey design. One hundred respondents were determined by judgmental sampling method with criterion that respondents are owners or manager of small medium enterprises that use livestock-based product such as meat, eggs and milk in Bantul Regency, Special Province of Yogyakarta. The research showed that Perceived Ease of Use affected Perceived Usefulness (p≤0.001), and both of those variables were critical factors for Attitude Toward Social Media Use (p≤0.001). The study revealed that Intention to Adopt Social Media is affected by Attitude Toward Social Media Use and Perceived Usefulness (p≤0.001). Then, the test found that education moderates relationships between Attitude Toward Social Media Use and more influential users on those with lower education backgrounds (p≤0.05). Even so, education did not moderate relationships between Perceived Usefulness and Intention to Adopt Social Media. In short, the proposed model was able slightly higher in explaining compare to the original TAM.
