Kesuksesan Sistem Cyber Extension dengan Pendekatan DeLone and McLean Information Systems Success Model di Kabupaten Wonogiri

Wydha Sari Hastyana Putri, D. Padmaningrum, W. Widiyanto
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Abstract

Cyber extension is a form of internet-based information system that expected to facilitate an access of information about the development of innovation in agriculture. This study aims to determine the relationship between variables which affect the success of the information system by DeLone and McLean in the information system of cyber extension in Wonogiri Regency. The basic method used is quantitative with survey techniques. The research location is in Wonogiri Regency. The sample was selected using a non-probability sampling technique with purposive sampling. The samples taken by 66 agricultural extension officers that include in 10 sub-district of Wonogiri Regency. Data collected by using questionnaires, interviews and documentation. Data analysis performed using structural equation modeling based on partial least square. The results of this study are the system quality has an effect on use, system quality has no effect on user satisfaction, information quality has no effect on use, information quality has an effect on user satisfaction, use has no effect on user satisfaction, user satisfaction has no effect on use, use has no effect on the individual impact and user satisfaction has an effect on the individual impact. The information quality on the cyber extension website is related to the success of the cyber extension system. The information quality will help increase the individual impact on the users of the cyber extension website.
系统网络扩展,彭德龙和麦克林信息系统成功模型
网络扩展是一种基于互联网的信息系统,旨在促进获取有关农业创新发展的信息。本研究旨在确定DeLone和McLean在woogiri reggency网络延伸信息系统中影响信息系统成功的变量之间的关系。使用的基本方法是定量与调查技术。研究地点在沃诺里摄政。样本选择采用非概率抽样技术与目的抽样。样本由沃诺里县10个街道的66名农业推广官员采集。通过问卷调查、访谈和文件收集数据。数据分析使用基于偏最小二乘法的结构方程建模。本研究结果为:系统质量对使用有影响、系统质量对用户满意度没有影响、信息质量对使用没有影响、信息质量对用户满意度有影响、使用对用户满意度没有影响、用户满意度对使用没有影响、使用对个人影响没有影响、用户满意度对个人影响有影响。网络扩展网站的信息质量直接关系到网络扩展系统的成败。信息质量将有助于增加个人对网络扩展网站用户的影响。
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