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Jurnal SINTA 2

Sistem Propagasi Anotasi pada Metadata Lineage untuk Manajemen Data Warehouse

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 9 No. 7 (2022) · pp. 1741–1746

DOI
10.25126/jtiik.2022976833
ISSN
2528-6579, 2355-7699
Published
2022-12-29
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id

Abstract

ETL (extract, transform, dan load) merupakan proses yang dilibatkan dalam pembuatan dan manajemen data warehouse. Desain ETL dibuat menyesuaikan struktur sumber data dan data warehouse. Dengan adanya ketergantungan tersebut maka perubahan di sumber data bisa berdampak besar terhadap desain ETL. Ketika perubahan tersebut terjadi, pengelola ETL akan berkomunikasi dengan pemilik data untuk mengetahui rincian perubahan struktur data dalam rangka memperbaiki desain ETL. Aliran komunikasi ini akan semakin meningkat sejalan dengan jumlah sumber data yang digunakan. Semakin banyak sumber data yang diproses maka komunikasi tersebut berpotensi menjadi bottleneck. Informasi perubahan struktur data ini dapat dikomunikasikan melalui anotasi yang dilekatkan pada sumber data. Anotasi tersebut kemudian dipropagasikan sehingga dapat digunakan untuk memperbaiki rancangan ETL. Dengan menggunakan anotasi, harapannya aliran komunikasi antara pengelola ETL dengan pemilik data dapat berkurang. Permasalahan tersebut menunjukkan seberapa penting dikembangkannya sistem propagasi anotasi. Sistem propagasi anotasi tersusun atas tiga komponen yaitu ekstraksi metadata, propagasi anotasi, dan adapter. Pengujian sistem dilakukan menggunakan teknik blackbox dan user acceptance testing bersama pengguna akhir. Pengujian blackbox menghasilkan 30 kasus uji yang hasilnya valid. Hasil evaluasi user acceptance testing menunjukkan bahwa rata-rata pengguna menyatakan sangat setuju dengan sistem yang dikembangkan. AbstractETL is a process of extracting, transforming, and loading data that is involved in creation and management of a data warehouse. Since ETL is deeply connected to the structure of the source data, if a small changes happens to that structure then the whole workflow might stop. Because one data source can be used by more than one ETL workflow, the impact of schema changes to the ETL design are enormous. When such incident happens, the ETL designer will ask the data owner for the details of the schema changes. The communication traffic between the ETL designer and the data owner will increase as the number of sources that are being used is increasing. Therefore potentially becoming a bottleneck. Information regarding schema changes of a data source can be attached as an annotation. This annotation will be then propagated so that the ETL manager can update the workflow according to the recorded changes.Using this technique, the communication traffic between the ETL designer and the data owner can be minimized. This problem highlights the need of an annotation propagation system. The system itself consists of three components: metadata extraction, adapter, and annotation propagation. To test the system, blackbox and user acceptance testing is used. The blackbox testing resulting with 30 test case which are all valid. The user acceptance testing is done with the end-user directly operating the system, and after analyzing the results it shows that on average the user is accepting the system.

Collaboration network of the authors

27 authors · 65 co-authorship links · 16 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • Indonesian Institute of Sciences
  • National Research and Innovation Agency
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ahmad Afif SupiantoUniversity of Brawijaya2
Dian Eka RatnawatiUniversity of Brawijaya2
Novriani Dewi AnwarUniversity of Brawijaya2
Nur Laita Rizki AmaliaUniversity of Brawijaya1
Vicky ZilvanIndonesian Institute of Sciences1
Asri Rizki YulianiIndonesian Institute of Sciences1
Ade RamdanIndonesian Institute of Sciences1
Reza Andria SAffiliation unknown1
Sarwosri SarwosriInstitut Teknologi Sepuluh Nopember1
Fitra Abdurrachman BachtiarUniversity of Brawijaya1
Iqbal Taufiq Ahmad NurUniversity of Brawijaya1
Fawwaz Roja MahardikaUniversity of Brawijaya1
Raden Sandra YuwanaNational Research and Innovation Agency1
Endang SuryawatiNational Research and Innovation Agency1
Satrio Hadi WijoyoUniversity of Brawijaya1
Alfian HakimUniversity of Brawijaya1
Muhammad Fariz FirdausUniversity of Brawijaya1
Dinar Fairus SalsabillahUniversity of Brawijaya1
Dwija Wisnu BrataAffiliation unknown1
Hariz FarisiAffiliation unknown1
Henry Kevin Marcelino RatuAffiliation unknown1
Dwija Wisnu BrataAffiliation unknown1
Hariz FarisiAffiliation unknown1
Henry Kevin Marcelino RatuAffiliation unknown1

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://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="id">Sistem Propagasi Anotasi pada Metadata Lineage untuk Manajemen Data Warehouse</dc:title>
	<dc:creator xml:lang="id">Saputra, Dion Ricky</dc:creator>
	<dc:creator xml:lang="id">Purnomo, Welly</dc:creator>
	<dc:creator xml:lang="id">Setiawan, Nanang Yudi</dc:creator>
	<dc:description xml:lang="id">ETL (extract, transform, dan load) merupakan proses yang dilibatkan dalam pembuatan dan manajemen data warehouse. Desain ETL dibuat menyesuaikan struktur sumber data dan data warehouse. Dengan adanya ketergantungan tersebut maka perubahan di sumber data bisa berdampak besar terhadap desain ETL. Ketika perubahan tersebut terjadi, pengelola ETL akan berkomunikasi dengan pemilik data untuk mengetahui rincian perubahan struktur data dalam rangka memperbaiki desain ETL. Aliran komunikasi ini akan semakin meningkat sejalan dengan jumlah sumber data yang digunakan. Semakin banyak sumber data yang diproses maka komunikasi tersebut berpotensi menjadi bottleneck. Informasi perubahan struktur data ini dapat dikomunikasikan melalui anotasi yang dilekatkan pada sumber data. Anotasi tersebut kemudian dipropagasikan sehingga dapat digunakan untuk memperbaiki rancangan ETL. Dengan menggunakan anotasi, harapannya aliran komunikasi antara pengelola ETL dengan pemilik data dapat berkurang. Permasalahan tersebut menunjukkan seberapa penting dikembangkannya sistem propagasi anotasi. Sistem propagasi anotasi tersusun atas tiga komponen yaitu ekstraksi metadata, propagasi anotasi, dan adapter. Pengujian sistem dilakukan menggunakan teknik blackbox dan user acceptance testing bersama pengguna akhir. Pengujian blackbox menghasilkan 30 kasus uji yang hasilnya valid. Hasil evaluasi user acceptance testing menunjukkan bahwa rata-rata pengguna menyatakan sangat setuju dengan sistem yang dikembangkan. AbstractETL is a process of extracting, transforming, and loading data that is involved in creation and management of a data warehouse. Since ETL is deeply connected to the structure of the source data, if a small changes happens to that structure then the whole workflow might stop. Because one data source can be used by more than one ETL workflow, the impact of schema changes to the ETL design are enormous. When such incident happens, the ETL designer will ask the data owner for the details of the schema changes. The communication traffic between the ETL designer and the data owner will increase as the number of sources that are being used is increasing. Therefore potentially becoming a bottleneck. Information regarding schema changes of a data source can be attached as an annotation. This annotation will be then propagated so that the ETL manager can update the workflow according to the recorded changes.Using this technique, the communication traffic between the ETL designer and the data owner can be minimized. This problem highlights the need of an annotation propagation system. The system itself consists of three components: metadata extraction, adapter, and annotation propagation. To test the system, blackbox and user acceptance testing is used. The blackbox testing resulting with 30 test case which are all valid. The user acceptance testing is done with the end-user directly operating the system, and after analyzing the results it shows that on average the user is accepting the system. </dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2022-12-29</dc:date>
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	<dc:rights xml:lang="en">Copyright (c) 2022 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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