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Designing Knowledge Sharing System for Statistical Activities in BPS-Statistics Indonesia

Author

Listed:
  • Dana Indra Sensuse

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Viktor Suwiyanto

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Sofian Lusa

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Arfive Gandhi

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Muhammad Mishbah

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

  • Damayanti Elisabeth

    (Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia)

Abstract

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.

Suggested Citation

  • Dana Indra Sensuse & Viktor Suwiyanto & Sofian Lusa & Arfive Gandhi & Muhammad Mishbah & Damayanti Elisabeth, 2021. "Designing Knowledge Sharing System for Statistical Activities in BPS-Statistics Indonesia," Data, MDPI, vol. 6(5), pages 1-17, May.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:5:p:48-:d:553236
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    References listed on IDEAS

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    1. Judy van Biljon & Mario Marais & Melanie Platz, 2017. "Digital platforms for research collaboration: using design science in developing a South African open knowledge repository," Information Technology for Development, Taylor & Francis Journals, vol. 23(3), pages 463-485, July.
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    Cited by:

    1. Deden Sumirat Hidayat & Dana Indra Sensuse, 2022. "Knowledge Management Model for Smart Campus in Indonesia," Data, MDPI, vol. 7(1), pages 1-42, January.

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