Statistics of Indonesia’s (BPS) performance are not optimal since there is a lack of integration among business processes. This has resulted in unsynchronized data, unstandardized business processes, and inefficient IT investment. To encourage more qualified and integrated business processes, BPS should optimize the knowledge sharing process (KSP) among government employees in statistical areas. This study designed a Knowledge Sharing System (KSS) to facilitate KSP in BPS towards knowledge sharing improvement. The KSS manifested a hypothesis that the design of qualified knowledge management can facilitate an organization to overcome the lack of integration among business processes. Hence, BPS can avoid repetitive mistakes, improve work efficiency, and reduce the risk of failure. This study generated a business process-oriented KSS by combining soft system methodology with the B-KIDE (Business process-oriented Knowledge Infrastructure Development) Framework. It delivered research artifacts (a rich picture, CATWOE analysis (costumer, actor, transformation, weltanschauung, owner, environment), and conceptual model) to capture eight mechanisms of knowledge, map them into the knowledge process, and define the applicable technology. The KSS model has perceived a score of 0.40 using the Kappa formula that indicates the stakeholders’ acceptance. Therefore, BPS can leverage a qualified KSS towards the integrated business processes statistically while the hypothesis was accepted.
As a non-ministerial government institution in charge of statistics, BPS-Statistics Indonesia must be able to provide quality statistical data through integrated and international standard statistical activities. Integrated statistical activities require a process of statistical activities that does not silo thinking. This silo thinking can be detrimental to BPS-Statistics Indonesia, especially in terms of overcoming the problem of statistical activities that have actually occurred in previous statistical activities. From these problems it is necessary to identify important knowledge that is useful to be able to be accessed and used as a lesson learned by other statistical activities. In Knowledge Management there is a tool to help identify important knowledge, namely Knowledge Map, which is assisted by analysis using the Social Network Analysis (SNA) technique. To solve the problem, BPS-Statistics Indonesia needs to conduct a study on the application of this knowledge maps with SNA technique. In this study, a study literature on knowledge maps with SNA was carried out. This literature study is in the form of Systematic Literature Review (SLR). From this literature study, an overview of the fields used as research subjects on knowledge maps with SNA, description of objectives and research suggestions currently used by researchers. This study found that the most used fields of research were non-business fields, especially in the fields of education and research. Findings regarding the purpose of the study are divided into making a design / framework or analyzing a problem. From the synthesis of SLR papers it was found that research on Knowledge Map with SNA, the purpose mostly to analyzing a problem. In this study it was also found that the suggestions for most subsequent research were suggestions for modification or refinement of research methods on knowledge maps with SNA. From these findings, BPS-Statistics Indonesia is expected to be able to take advantage and can make this literature study as the basis for the implementation of knowledge maps with SNA to solve the problem of silo thinking.
One important feature of IT HelpDesk, such as HaloSIS, is knowledge base. This feature disseminate knowledge about problem solving knowledge. This knowledge base goals were to assist service desk for giving fast solution to problem reported by user call and to facilitate learning about problem solving for new member of technical support team. To improve problem solving performance, technical support team can update or add this knowledge base with new problem solving knowledge. However, until this day this knowledge base was not updated. This can lead HaloSIS into tacit knowledge problem. This tacit knowledge remain in technical support head and not documented to knowledge base. To identify new knowledge that was not yet transferred to knowledge base, HaloSIS team need to identify knowledge gap that happen in HaloSIS knowledge base. There is a tool of knowledge management that can be used for identifying knowledge gap. This tool is knowledge mapping. Knowledge map can be used to representing the incompleteness of the current knowledge network that will enable to attain a sustainable future. This study propose knowledge map building from troubleshooting log in HaloSIS. This study build current knowledge map based on FAQ knowledge and merge it with knowledge found in troubleshooting log. The methodology to build knowledge map was the 6-step method from Kim's research. The data analysis method used is qualitative data analysis method using thematic analysis. From this knowledge map this study found 15 new know-how knowledge and recomendation to update 7 know-how knowledge. However, there are some limitations of this study which only maps the online presence system. For future research, it is necessary to build a knowledge map for all services in HaloSIS comprehensively to maintain, renewal, and seeking for knowledge.
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