Business intelligence system model to measure the performance of lecturers' scientific publications.

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Title: Business intelligence system model to measure the performance of lecturers' scientific publications.
Authors: Hidayat, Miwan Kurniawan1,2 miwan@bsi.ac.id, Sugiarto, Dedy2,3 dedy@trisakti.ac.id, Fitriana, Rina2,4 rinaf@trisakti.ac.id, Yun-Chia Liang5 ycliang@saturn.yzu.edu.tw
Source: Telkomnika. Aug2025, Vol. 23 Issue 4, p954-964. 11p.
Subjects: Science publishing, Data mining, Evaluation research, Data analytics, Clustering algorithms, Data modeling, Data analysis
Geographic Terms: Indonesia
Abstract: Scientific publication data is sourced from the SINTA website to measure the performance of journals, institutions, and researchers in Indonesia. Accessing and analyzing data for institutional needs is restricted, and lecturer development patterns based on lecturer characteristics remain untapped. The study aims to analyze and design business intelligence system models to measure the performance of scientific publications using dimensional models, clustering, on-line analytical processing (OLAP), and prototyping. Research methods are carried out through data and information needs analysis, data warehouse design, data mining and OLAP application, business intelligence system development, and system evaluation. The resulting dimensional models are the researcher index model, the researcher score model, the publication article model, and the research subject model. Measurements of data size and processing time show that the star schema has data of 336 KB and a processing time of 0.00554 seconds, is the best model compared to the snowflake's schema, which has data of 368 KB and a processing time of 0.00611 seconds. Davies-Bouldin Index (DBI) measurements show the best clustering performance is the X-means algorithm with K as many as 5 clusters (Kmin=3, Kmax=5) and a DBI value of 0.537040. [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
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DbLabel: Engineering Source
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  Data: Scientific publication data is sourced from the SINTA website to measure the performance of journals, institutions, and researchers in Indonesia. Accessing and analyzing data for institutional needs is restricted, and lecturer development patterns based on lecturer characteristics remain untapped. The study aims to analyze and design business intelligence system models to measure the performance of scientific publications using dimensional models, clustering, on-line analytical processing (OLAP), and prototyping. Research methods are carried out through data and information needs analysis, data warehouse design, data mining and OLAP application, business intelligence system development, and system evaluation. The resulting dimensional models are the researcher index model, the researcher score model, the publication article model, and the research subject model. Measurements of data size and processing time show that the star schema has data of 336 KB and a processing time of 0.00554 seconds, is the best model compared to the snowflake's schema, which has data of 368 KB and a processing time of 0.00611 seconds. Davies-Bouldin Index (DBI) measurements show the best clustering performance is the X-means algorithm with K as many as 5 clusters (Kmin=3, Kmax=5) and a DBI value of 0.537040. [ABSTRACT FROM AUTHOR]
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  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:
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        Value: 10.12928/TELKOMNIKA.v23i4.26221
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      – Code: eng
        Text: English
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        PageCount: 11
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      – SubjectFull: Data mining
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      – SubjectFull: Evaluation research
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      – SubjectFull: Data analytics
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      – SubjectFull: Clustering algorithms
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      – SubjectFull: Data modeling
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Indonesia
        Type: general
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      – TitleFull: Business intelligence system model to measure the performance of lecturers' scientific publications.
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            NameFull: Hidayat, Miwan Kurniawan
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            NameFull: Sugiarto, Dedy
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            NameFull: Fitriana, Rina
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            NameFull: Yun-Chia Liang
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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