Business intelligence for measuring global systems for mobile communication provider performance.
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| Title: | Business intelligence for measuring global systems for mobile communication provider performance. |
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| Authors: | Turnip, Yusri Eli Hotman1 yusriturnip190290@gmail.com, Sugiarto, Dedy1,2 dedy@trisakti.ac.id, Fitriana, Rina1,3 rinaf@trisakti.ac.id, Liang, Yun-Chia4 ycliang@saturn.yzu.edu.tw |
| Source: | Telkomnika. Apr2026, Vol. 24 Issue 2, p737-750. 14p. |
| Subjects: | OLAP technology, K-means clustering, Data visualization, Internet speed, Mobile communication systems, Clustering algorithms, Business analytics |
| Geographic Terms: | Indonesia |
| Abstract: | Internet access is getting easier in various places, including Indonesia. Telecommunication media are no longer dominated by the use of pulse signals but have shifted to relying on internet access. This study aims to create a data visualization of internet speed in Bekasi urban sub-districts using the business intelligence (BI) model with online analytical processing (OLAP). Clustering was carried out using two methods, namely the K-means and K-medoids methods which were selected based on the Davies Bouldin index (DBI) value. This study produced a visual data prototype from the results of clustering from the data mining process and was accompanied by supporting data in the form of information on the highest and lowest speeds in the studied sub-districts. The clustering process uses K-means for uploading data with a DBI value of 0.847, while the data download uses Kmedoids with a DBI value of 0.871. The prototype displays observation data, maximum and minimum value information, and the clustering result. The functional test result for the prototype showed conformity with the requirements, while the validation test showed that the prototype passed the validation test with a score of 0.8833. [ABSTRACT FROM AUTHOR] |
| Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194026225 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Business intelligence for measuring global systems for mobile communication provider performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Turnip%2C+Yusri+Eli+Hotman%22">Turnip, Yusri Eli Hotman</searchLink><relatesTo>1</relatesTo><i> yusriturnip190290@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sugiarto%2C+Dedy%22">Sugiarto, Dedy</searchLink><relatesTo>1,2</relatesTo><i> dedy@trisakti.ac.id</i><br /><searchLink fieldCode="AR" term="%22Fitriana%2C+Rina%22">Fitriana, Rina</searchLink><relatesTo>1,3</relatesTo><i> rinaf@trisakti.ac.id</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Yun-Chia%22">Liang, Yun-Chia</searchLink><relatesTo>4</relatesTo><i> ycliang@saturn.yzu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Apr2026, Vol. 24 Issue 2, p737-750. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22OLAP+technology%22">OLAP technology</searchLink><br /><searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+speed%22">Internet speed</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Business+analytics%22">Business analytics</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indonesia%22">Indonesia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Internet access is getting easier in various places, including Indonesia. Telecommunication media are no longer dominated by the use of pulse signals but have shifted to relying on internet access. This study aims to create a data visualization of internet speed in Bekasi urban sub-districts using the business intelligence (BI) model with online analytical processing (OLAP). Clustering was carried out using two methods, namely the K-means and K-medoids methods which were selected based on the Davies Bouldin index (DBI) value. This study produced a visual data prototype from the results of clustering from the data mining process and was accompanied by supporting data in the form of information on the highest and lowest speeds in the studied sub-districts. The clustering process uses K-means for uploading data with a DBI value of 0.847, while the data download uses Kmedoids with a DBI value of 0.871. The prototype displays observation data, maximum and minimum value information, and the clustering result. The functional test result for the prototype showed conformity with the requirements, while the validation test showed that the prototype passed the validation test with a score of 0.8833. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12928/TELKOMNIKA.v24i2.26293 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 737 Subjects: – SubjectFull: OLAP technology Type: general – SubjectFull: K-means clustering Type: general – SubjectFull: Data visualization Type: general – SubjectFull: Internet speed Type: general – SubjectFull: Mobile communication systems Type: general – SubjectFull: Clustering algorithms Type: general – SubjectFull: Business analytics Type: general – SubjectFull: Indonesia Type: general Titles: – TitleFull: Business intelligence for measuring global systems for mobile communication provider performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Turnip, Yusri Eli Hotman – PersonEntity: Name: NameFull: Sugiarto, Dedy – PersonEntity: Name: NameFull: Fitriana, Rina – PersonEntity: Name: NameFull: Liang, Yun-Chia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16936930 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Telkomnika Type: main |
| ResultId | 1 |
