DETERMINANT FACTORS OF SPATIAL DATA SHARING OF LOCAL SPATIAL DATA INFRASTRUCTURE IN INDONESIA

Bau Asseng, Z. A. Rahman, M. N. Said
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Abstract

This study is based on the phenomenon of the weakness of local government’s response to the national program of Spatial Data Infrastructure for the effective spatial data sharing in Indonesia. This study is investigation of determinant factors of spatial data sharing for local Spatial Data Infrastructure in Indonesia. The purpose of this study is to describe the spatial data-sharing model of Local SDI in Indonesia. It was conducted in West Java Province, Bogor Regency, and Bogor City. Sequential exploratory design method consisting of interview and questionnaire were used in this research. An in-depth interview was used to get a response from 10 participants among IT or GIS staff and head of the department. A total of 75 respondents were involved in questionnaire survey. Content’s analysis was used to measure interview data while Partial Least Square analysis was used to measure questionnaire data. The fit items were chosen after validity and reliability measurement in the structural model analysis using Smart PLS. Hypothesis measurement found that Data sharing practice was significantly affected by the Organization and Technology aspect, but Data sharing practice was less significantly affected by Human Resource and Spatial Data. All R-Square value shows that the value is more than 50% on Technology aspect, Human Resource aspect, Spatial Data aspect, while the R-Square value on Data Sharing practice is 47.3%. Because the Human resource and Spatial data have the less significant effect on spatial data sharing, this research proposed awareness program and mentoring by National government to promote spatial data sharing support at the local SDI.Keywords: spatial data sharing, determinant factors, Partial Least Square (PLS)
印度尼西亚地方空间数据基础设施空间数据共享的决定因素
本研究是基于印度尼西亚地方政府对国家空间数据基础设施计划的响应不力的现象,该计划旨在有效地共享空间数据。本研究旨在探讨印尼地方空间数据基础设施空间数据共享的决定因素。本研究的目的是描述印尼地方SDI的空间数据共享模型。调查在西爪哇省、茂物县和茂物市进行。本研究采用访谈与问卷相结合的序贯探索性设计方法。我们进行了深度访谈,从IT或GIS人员和部门负责人中获得了10名参与者的回应。问卷调查共涉及75名受访者。访谈资料采用内容分析法,问卷资料采用偏最小二乘分析法。采用Smart PLS进行结构模型分析的效度和信度测量后选择拟合项目。假设测量发现,数据共享实践受组织和技术方面的显著影响,而数据共享实践受人力资源和空间数据的不显著影响。所有的r平方值都表明,在技术方面,人力资源方面,空间数据方面的r平方值大于50%,而在数据共享实践方面的r平方值为47.3%。由于人力资源和空间数据对空间数据共享的影响不显著,本研究提出了国家政府对地方SDI空间数据共享支持的意识计划和指导。关键词:空间数据共享,决定因素,偏最小二乘法
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