Implementasi Business Intelligence dalam Meningkatkan Pembuatan Dashboard dailytracker pada PT.XYZ

Authors

  • Ricky Rivandy A’oetpah Universitas Esa Unggul
  • Binastya Anggara Sekti Universitas Esa Unggul

Keywords:

Business intelligence (BI), data, decision, dailytracker dashboard, analysis

Abstract

Business intelligence (BI) is a technology infrastructure that analyzes data and generates reports to help managers make decisions. PT XYZ is a company engaged in insurance, which has many employees, especially in the IT and Operations divisions. Problems arise when a lot of employee daily work report data is not decomposed and cannot be analyzed by managers to make a decision. The purpose of this research is to optimize employee daily work report data with business intelligence methods in data visualization so that it can be easily analyzed and can be used as decision-making material for managers. The methods used in the research include analyzing user needs, designing business intelligence systems, implementing business intelligence systems, and testing as well as conducting qualitative methods in the form of interviews as user satisfaction surveys. The results of the application of business intelligence on the dailytracker dashboard at PT XYZ are feasible to use according to employees and managers. And the managers also gave a good response to the strategy implemented which is very informative in displaying data and can assist in analyzing data to make decisions within the company.

References

A. Maritsa, U. Hanifah Salsabila, M. Wafiq, P. Rahma Anindya, and M. Azhar Ma’shum, “Pengaruh Teknologi Dalam Dunia Pendidikan,” Al-Mutharahah J. Penelit. dan Kaji. Sos. Keagamaan, vol. 18, no. 2, pp. 91–100, 2021, doi: 10.46781/al-mutharahah.v18i2.303.

A. Faidlatul Habibah and I. Irwansyah, “Era Masyarakat Informasi sebagai Dampak Media Baru,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 3, no. 2, pp. 350–363, 2021, doi: 10.47233/jteksis.v3i2.255.

T. Lubis, M. Irwan, and P. Nasution, “Peran Teknologi Informasi Dan Komunikasi Dalam Meningkatkan Efisiensi Sistem Pendukung Organisasi,” J. Manaj. dan Ekon. Bisnis, vol. 4, no. 1, pp. 83–89, 2024, [Online]. Available: https://doi.org/10.55606/cemerlang.v4i1.2246

I. Khare, L. L. R. Rodrigues, S. Gulvady, S. S. Bhakta, G. K. Nair, and A. Hussain, “Impact of Business Intelligence on Company Performance: a System Dynamics Approach,” Folia Oeconomica Stetin., vol. 23, no. 2, pp. 183–203, 2023, doi: 10.2478/foli-2023-0026.

M. F. Aji and S. Hidayat, “Pengembangan Business Intelligence pada Sistem Informasi Bengkel ( Studi Kasus Bengkel Ban Motor XYZ ),” Univ. Islam Indones., vol. 2, no. 2, pp. 1–7, 2021, [Online]. Available: https://journal.uii.ac.id/AUTOMATA/article/view/19529

D. Suša Vugec, V. Bosilj Vukši?, M. Peji? Bach, J. Jakli?, and M. Indihar Štemberger, “Business intelligence and organizational performance: The role of alignment with business process management,” Bus. Process Manag. J., vol. 26, no. 6, pp. 1709–1730, 2020, doi: 10.1108/BPMJ-08-2019-0342.

P. C. Saibabu, H. Sai, S. Yadav, and C. R. Srinivasan, “Synthesis of model predictive controller for an identified model of MIMO process,” Indones. J. Electr. Eng. Comput. Sci., vol. 17, no. 2, pp. 941–949, 2019, doi: 10.11591/ijeecs.

M. Mustafid, “Sistem business intelligence untuk mendukung perguruan tinggi yang kompetitif,” J. Sist. Inf. Bisnis, vol. 3, no. 1, pp. 18–24, 2013, doi: 10.21456/vol3iss1pp18-24.

Kusnawi, “Implementasi OLAP dan Reporting Services sebagai Bagian Proses Business Intelligence,” Bisnis Intelejen, p. 12, 2010.

I. Yermish, V. Miori, J. Yi, R. Malhotra, and R. Klimberg, “Business Plus Intelligence Plus Technology Equals Business Intelligence,” Int. J. Bus. Intell. Res., vol. 1, no. 1, pp. 48–63, 2010, doi: 10.4018/jbir.2010071704.

H. Kurniawan, B. Setiyono, and R. R. Isnanto, “Aplikasi Penjawab Pesan Singkat Automatis Dengan Bahasa Python,” Dr. Diss. Jur. Tek. Elektro Fak. Tek. Undip, 2011.

Toni and Kusnandar, “60-109-1-Sm,” Toni Kusnandar, vol. 05, no. 1, pp. 06–13, 2011.

S. N. Kane, A. Mishra, and A. K. Dutta, “Preface: International Conference on Recent Trends in Physics (ICRTP 2016),” J. Phys. Conf. Ser., vol. 755, no. 1, pp. 1–11, 2016, doi: 10.1088/1742-6596/755/1/011001.

J. I. Necochea-Chamorro and L. Larrea-Goycochea, “Business Intelligence Applied in the Corporate Sector: A Systematic Review,” TEM J., vol. 12, no. 4, pp. 2225–2234, 2023, doi: 10.18421/TEM124-33.

S. S. Salmia, “Development of Quality Instruments and Data Collection Techniques,” J. Pendidik. dan Pengajaran Guru Sekol. Dasar, vol. 6, no. 1, pp. 119–124, 2023, doi: 10.55215/jppguseda.v6i1.7527.

S. D. R. Napian, “Analisis Integrasi Data Dan Sinkronisasi Data Pada Portal Science and Technology Index ( Sinta ) Dengan Pangkalan Data Scopus,” Sist. Inf. Fak. Ilmu Komput. Univ. Sriwij., p. 4, 2018, [Online]. Available: http://edocs.ilkom.unsri.ac.id/2950/1/Integrasi Data - St Dhiah Raniah Napian 09031181621011.pdf

R. D. Thantilage, N. A. Le-Khac, and M. T. Kechadi, “Healthcare data security and privacy in Data Warehouse architectures,” Informatics Med. Unlocked, vol. 39, no. December 2022, p. 101270, 2023, doi: 10.1016/j.imu.2023.101270.

A. Rijali, “Analisis Data Kualitatif Ahmad Rijali UIN Antasari Banjarmasin,” vol. 17, no. 33, pp. 81–95, 2018.

A. G. Lazuardy, H. S. S. Kom, and M. Eng, “Proceeding SINTAK 2019,” pp. 1–6, 2019.

W. Irmayani, “Visualisasi Data Pada Data Mining Menggunakan Metode Klasifikasi,” J. Khatulistiwa Inform., vol. IX, no. I, pp. 68–72, 2021.

H. Handayani, K. U. Faizah, A. Mutiara Ayulya, M. F. Rozan, D. Wulan, and M. L. Hamzah, “Perancangan Sistem Informasi Inventory Barang Berbasis Web Menggunakan Metode Agile Software Development Designing a Web-Based Inventory Information System Using the Agile Software Development Method,” J. Test. dan Implementasi Sist. Inf., vol. 1, no. 1, pp. 29–40, 2023.

E. Trivaika and M. A. Senubekti, “Perancangan Aplikasi Pengelola Keuangan Pribadi Berbasis Android,” Nuansa Inform., vol. 16, no. 1, pp. 33–40, 2022, doi: 10.25134/nuansa.v16i1.4670.

V. Vachharajani and J. Pareek, “Framework to approximate label matching for automatic assessment of use-case diagram,” Int. J. Distance Educ. Technol., vol. 17, no. 3, pp. 75–95, 2019, doi: 10.4018/IJDET.2019070105.

Downloads

Published

2024-10-22

How to Cite

Ricky Rivandy A’oetpah, & Binastya Anggara Sekti. (2024). Implementasi Business Intelligence dalam Meningkatkan Pembuatan Dashboard dailytracker pada PT.XYZ. Prosiding SISFOTEK, 8(1), 124 - 130. Retrieved from https://seminar.iaii.or.id/index.php/SISFOTEK/article/view/455

Issue

Section

Sistem Informasi dan Teknologi
bk8