Data Visualization Application "JIRA" at PT. Jati Piranti Solusindo Using the Metabase Data Visualization Application "JIRA" at PT. Jati Piranti Solusindo Using the Metabase
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Published:
May 1, 2020
Keywords:
Data visualization, ETL, JIRA, metabase, mysql, web-based
Section
Computer Science
Statistics Article
Article View : 342 Times
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Abstract
DBMS is always growing rapidly every year. It means, each company has moved to data digitalization, including PT. Jati Piranti Solusindo. This company has an application that is often accessed for corporate projects. A lot of data on the application that makes the Project Management Officer waste more time to read data from one project. To shorten the time of the PMO of PT. Jati Piranti Solusindo, it needed charts that make it easier for them to access project data. Data visualization is a solution for translating abstract data into more visual information. The results of this visualization are effective because the graphic is easy to read, attractive graphics and can be accessed on a web-based basis.
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How to Cite
Anwar, F., Wahyuddin, I. and Hidayatullah, D. (2020) “Data Visualization Application "JIRA" at PT. Jati Piranti Solusindo Using the Metabase: Data Visualization Application "JIRA" at PT. Jati Piranti Solusindo Using the Metabase”, Jurnal Mantik, 4(1), pp. 289-293. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/743 (Accessed: 29July2026).
References
[1] SolidIT GmbH, DB-Engines Ranking - Trend Popularity, SolidIT GmbH, https://db-engines.com Maret 2020, diambil29 Maret 2020.
[2] N. Prasetio, Data Visualisasi: Definisi (Part 1), Data Fols Indonesia, https://medium.com, September 2019, diambil 27 March 2020.
[3] Metabase Inc, What is Metabase?, Metabase Inc, https://www.metabase.com, Juli 2019, diambil29 Maret 2020.
[4] J.-K. Chou, Y. Wang, K.-L. Ma, “Privacy preserving visualization: A study on event sequence data,”Computer Graphics Forum, vol. 38, no. 1, pp. 340-355, 2019.
[5] Julia Ferlin, Fitra Abdurrachman Bachtiar, Alfi Nur Rusydi,“Klasifikasi Customer Intent untuk Mengetahui Tingkat KepuasanPelanggan menggunakan Metode Support Vector Machine pada RestoranBakso President,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer,vol. 3, No. 10, Oktober 2019.
[6] M. Golfarelli, S. Rizzi, “A model-driven approach to automate data visualization in big data analytics,” DISI—CINI, vol. 19, no. 1, pp. 24-47, 2019.
[7] W. Kurniawan, “Sistem Monitoring Percakapan pada Toko Online menggunakan metode Latent Dirichlet Allocation (LDA) Studi Kasus: Toko Online BerryBenka.com,” Program Sarjana, Fakultas Teknologi Industri, Universitas Islam Indonesia, Indonesia, 2018.
[8] Nadiar Ahmad Syaripul, Adam Mukharil Bachtiar,“Visualisasi data Interaktif data Terbuka Pemerintah Provinsi DKI Jakarta: Topik Ekonomi dan Keuangan Daerah,” Jurnal Sistem Informasivol. 12, 2 Oktober 2016.
[9] Dwi Fajar Saputra,“Visualisasi Data di Sistem Manajemen Perpustakaan,” Jurnal Perpustakaan Pertaninanvol. 26, No. 2, 2 Desember 2017.
[10] Muhammad Fikry Abyadl, Sumarno, Indrianawati, “Evaluasi Pembangunan Sistem Visualisasi Data(Studi Kasus: Pengelolaan Data pada KementerianDalam Negeri Indonesia),”Jurnal Online Institut Teknologi Nasional, vol 2016, No.2, September 2016
[11] Dessy Aryanti, Johan Setiawan, “Visualisasi Data Penjualan dan Produksi PTNitto Alam Indonesia Periode 2014-2018,”ULTIMA InfoSys,vol. IX, No.2, Desember 2018
E. Situmorang and F. Riandari, “Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method”, mantik, vol. 3, no. 3, Nov, pp. 28-33, Nov. 2019.
F. Riandari and A. Panjaitan, “Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem”, mantik, vol. 3, no. 3, Nov, pp. 34-39, Nov. 2019.
A. Pamungkas and F. Riandari, “Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah”, mantik, vol. 3, no. 3, Nov, pp. 69-72, Nov. 2019.
R. Sibagariang and F. Riandari, “Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method”, mantik, vol. 3, no. 3, Nov, pp. 99-103, Nov. 2019.
[2] N. Prasetio, Data Visualisasi: Definisi (Part 1), Data Fols Indonesia, https://medium.com, September 2019, diambil 27 March 2020.
[3] Metabase Inc, What is Metabase?, Metabase Inc, https://www.metabase.com, Juli 2019, diambil29 Maret 2020.
[4] J.-K. Chou, Y. Wang, K.-L. Ma, “Privacy preserving visualization: A study on event sequence data,”Computer Graphics Forum, vol. 38, no. 1, pp. 340-355, 2019.
[5] Julia Ferlin, Fitra Abdurrachman Bachtiar, Alfi Nur Rusydi,“Klasifikasi Customer Intent untuk Mengetahui Tingkat KepuasanPelanggan menggunakan Metode Support Vector Machine pada RestoranBakso President,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer,vol. 3, No. 10, Oktober 2019.
[6] M. Golfarelli, S. Rizzi, “A model-driven approach to automate data visualization in big data analytics,” DISI—CINI, vol. 19, no. 1, pp. 24-47, 2019.
[7] W. Kurniawan, “Sistem Monitoring Percakapan pada Toko Online menggunakan metode Latent Dirichlet Allocation (LDA) Studi Kasus: Toko Online BerryBenka.com,” Program Sarjana, Fakultas Teknologi Industri, Universitas Islam Indonesia, Indonesia, 2018.
[8] Nadiar Ahmad Syaripul, Adam Mukharil Bachtiar,“Visualisasi data Interaktif data Terbuka Pemerintah Provinsi DKI Jakarta: Topik Ekonomi dan Keuangan Daerah,” Jurnal Sistem Informasivol. 12, 2 Oktober 2016.
[9] Dwi Fajar Saputra,“Visualisasi Data di Sistem Manajemen Perpustakaan,” Jurnal Perpustakaan Pertaninanvol. 26, No. 2, 2 Desember 2017.
[10] Muhammad Fikry Abyadl, Sumarno, Indrianawati, “Evaluasi Pembangunan Sistem Visualisasi Data(Studi Kasus: Pengelolaan Data pada KementerianDalam Negeri Indonesia),”Jurnal Online Institut Teknologi Nasional, vol 2016, No.2, September 2016
[11] Dessy Aryanti, Johan Setiawan, “Visualisasi Data Penjualan dan Produksi PTNitto Alam Indonesia Periode 2014-2018,”ULTIMA InfoSys,vol. IX, No.2, Desember 2018
E. Situmorang and F. Riandari, “Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method”, mantik, vol. 3, no. 3, Nov, pp. 28-33, Nov. 2019.
F. Riandari and A. Panjaitan, “Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem”, mantik, vol. 3, no. 3, Nov, pp. 34-39, Nov. 2019.
A. Pamungkas and F. Riandari, “Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah”, mantik, vol. 3, no. 3, Nov, pp. 69-72, Nov. 2019.
R. Sibagariang and F. Riandari, “Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method”, mantik, vol. 3, no. 3, Nov, pp. 99-103, Nov. 2019.