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Implementation of DIKW-Based Business Intelligence Using Google Looker Studio for Data-Driven Decision-Making in Babakanmulya Village

SemanTIK: Teknik Informasi · Vol. 11 No. 1 (2025)

DOI
10.55679/semantik.v11i1.130
ISSN
2502-8928, 2460-1446
Published
2025-06-19
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Sustainable village development requires a data-driven approach to enhance transparency and the effectiveness of public services. However, one of the challenges faced by the Babakanmulya village government is the inability to make well-informed decisions due to the available data being in raw form and not yet processed into meaningful information. This study aims to design and implement a Business Intelligence dashboard using Google Looker Studio by integrating the DIKW (Data, Information, Knowledge, Wisdom) framework in managing village community data. By collecting demographic, economic, educational, and health data, this research transforms raw data into relevant and easily understandable information. The analysis of this information provides deep insights into the community's social and economic conditions as well as their participation in government programs. Consequently, village authorities can make more informed and data-driven decisions to formulate more effective policies that enhance community welfare. The implementation of automated reporting using Google Apps Script also ensures that up-to-date information can be delivered to stakeholders in a timely manner. This study demonstrates that applying the DIKW framework in a Business Intelligence dashboard can improve the planning and execution of village development in a more responsive and inclusive manner while assisting the village government in overcoming data-driven decision-making challenges.

Keywords

Collaboration network of the authors

4 authors · 6 co-authorship links

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  • Universitas Islam Negeri Sultan Syarif Kasim Riau
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Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://semantik.uho.ac.id/index.php/journal/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Implementation of DIKW-Based Business Intelligence Using Google Looker Studio for Data-Driven Decision-Making in Babakanmulya Village</dc:title>
	<dc:creator>Yesa, Aditya Nugraha</dc:creator>
	<dc:creator>Muhammad jazman</dc:creator>
	<dc:creator>Muhammad Afdal</dc:creator>
	<dc:creator>Inggih Permana</dc:creator>
	<dc:subject xml:lang="en-US">business intellgence</dc:subject>
	<dc:subject xml:lang="en-US">DIKW</dc:subject>
	<dc:subject xml:lang="en-US">Data Visualization</dc:subject>
	<dc:description xml:lang="en-US"> Sustainable village development requires a data-driven approach to enhance transparency and the effectiveness of public services. However, one of the challenges faced by the Babakanmulya village government is the inability to make well-informed decisions due to the available data being in raw form and not yet processed into meaningful information. This study aims to design and implement a Business Intelligence dashboard using Google Looker Studio by integrating the DIKW (Data, Information, Knowledge, Wisdom) framework in managing village community data. By collecting demographic, economic, educational, and health data, this research transforms raw data into relevant and easily understandable information. The analysis of this information provides deep insights into the community's social and economic conditions as well as their participation in government programs. Consequently, village authorities can make more informed and data-driven decisions to formulate more effective policies that enhance community welfare. The implementation of automated reporting using Google Apps Script also ensures that up-to-date information can be delivered to stakeholders in a timely manner. This study demonstrates that applying the DIKW framework in a Business Intelligence dashboard can improve the planning and execution of village development in a more responsive and inclusive manner while assisting the village government in overcoming data-driven decision-making challenges.</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:date>2025-06-19</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://semantik.uho.ac.id/index.php/journal/article/view/130</dc:identifier>
	<dc:identifier>10.55679/semantik.v11i1.130</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol. 11 No. 1 (2025): Vol. 11 No. 1 (2025): SemanTIK Teknik Informasi</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://semantik.uho.ac.id/index.php/journal/article/view/130/28</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Aditya Nugraha Yesa, Muhammad jazman, Muhammad Afdal, Inggih Permana</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>