Persepsi Pengguna Terhadap Aplikasi Perpusda Wonosobo Di Dinas Kearsipan Dan Perpustakaan Daerah Kabupaten Wonosobo Dengan Pendekatan Pieces Framework

V. Anggraeni, Anis Masruri
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Abstract

The purpose of this research is to determine the user's perceptions for the Wonosobo Library applications at the regional archives and libraries office of Wonosobo Regency with the PIECES framework approach. This research is included as descriptive quantitative research. The subjects in this research were active members of the Wonosobo Library application. The object of this research is the user's perception for the Wonosobo library application of the regional archives and libraries office of Wonosobo Regency. The sample obtained from the calculation with the Slovin formula are 100 respondents. Meanwhile, the sampling technique used is incidental sampling. This research has a single variable, namely the user's perception of Wonoosobo Library applications. This research instrument uses the PIECES framework, namely performance, information, economic, control, efficiency, and service. The scale used in this research is a Likert scale with 4 answer options. The data collection techniques in this study used 4 ways, namely questionnaires, observations, interviews, and documentations. The data analysis of this research used the mean and grand mean formulas. The results showed that the overall calculation of the sub-variables showed value of 3.07 which is on the scale range was included as a good category. The lowest sub-variable value is at 3.00 in the performance sub-variable which is included as a good category. The highest percentage of indicators shows the number 3.15 in the sub-variable economy (economic) which is included as a good category.
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本研究的目的是用PIECES框架方法确定用户对Wonosobo地区档案馆和图书馆办公室的Wonosobo图书馆应用程序的看法。本研究被纳入描述性定量研究。本研究的研究对象是Wonosobo图书馆应用程序的活跃成员。本研究的对象是用户对Wonosobo摄政区域档案与图书馆办公室的Wonosobo图书馆应用的感知。用斯洛文公式计算得到的样本为100人。同时,采用的抽样技术是附带抽样。本研究只有一个变量,即用户对Wonoosobo图书馆应用程序的感知。本研究工具采用了PIECES框架,即性能、信息、经济、控制、效率和服务。本研究使用的量表是李克特量表,有4个答案选项。本研究的数据收集技术采用问卷调查、观察、访谈和文献四种方法。本研究的数据分析采用均值和大均值公式。结果表明,子变量的总体计算值为3.07,在量表范围内,被列入良好类别。在业绩子变量中,最低的子变量值为3.00,该子变量被列为良好类别。分变量经济(经济)被列为“好”类别,其指标百分比最高,为3.15。
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