Business Intelligence Dashboard Visualization on Information Systems for Online Verification of Invoice Documents and Requests for Goods or Services

Daad Hadiwinata(1*), F Fauziah(2), Eri Mardiani(3),

(1) Universias Nasional, Jakarta, Indonesia
(2) Universias Nasional, Jakarta, Indonesia
(3) Universias Nasional, Jakarta, Indonesia
(*) Corresponding Author


In the daily running of their business, business companies are usually faced with the problem of adapting to changing trends related to the business world. To make a decision that is precise, fast, and accurate based on data and analysis, the company must apply Business Intelligence (BI) based technology. In this research, the study was conducted at PT ADHI KARYA (Persero) Tbk, which has a problem with the document verification system which is still done manually. To help the above problems, a solution is offered by utilizing Business Intelligence (BI) based technology to create a dashboard of information systems for verification of invoice documents and requests for goods and services online. For evaluating the performance of employees or verifier officers can use the collaboration between BI and the K-Means Algorithm by classifying incoming data based on the duration of the data input until the e-Verification sheet is sent by the system.   The system development method in this study uses the RAD (Rapid Application Development) method of rapid application development. Which is expected to produce a solution in the form of a visualization dashboard for online verification information systems for invoice documents and requests for goods and services based on Business Intelligence technology.

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R. Akbar, M. Silvana, M. H. Hersyah, and M. Jannah, “Implementation of business intelligence for sales data management using interactive dashboard visualization in XYZ stores,” in 2020 International Conference on Information Technology Systems and Innovation, ICITSI 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Oct. 2020, pp. 242–249. doi: 10.1109/ICITSI50517.2020.9264984.

V. D. Kolychev and A. A. Shebotinov, “Application of Business Intelligence instrumental tools for vis-ualization of key performance indicators of an enterprise in tel-ecommunications,” Scientific Visualization, vol. 11, no. 1, pp. 20–37, 2019, doi: 10.26583/sv.11.1.03.

Edgar Marvaro and Ridha Sefina Samosir, “Penerapan business intelligence dan visualisasi informasi di CV Mitra Makmur dengan menggunakan dashboard tableau,” Kalbiscentia, Jurnal Sains dan Teknologi, vol. 8, no. 2, pp. 37–46, 2021.

Angelia DestrianaKristoko, Dwi Hartomo2, and Hanna Prillysca Chernovita, “Visualisasi data laporan penjualan menggunakan operations dashboard untuk ArcGIS (ODA),” JURNAL RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 1, no. 3, pp. 697–703, 2020.

A. Tripathi, T. Bagga, and R. K. Aggarwal, “Strategic impact of business intelligence: A review of literature,” Prabandhan: Indian Journal of Management, vol. 13, no. 3. Associated Management Consultants Pvt. Ltd., pp. 35–48, Mar. 01, 2020. doi: 10.17010/pijom/2020/v13i3/151175.

Mardiani Eri, Fauziah, and Wahyuni R, “Web-Based Room Loan Management Services Using Web Based RAD Method,” 2020. [Online]. Available:

I. Andriani, D. Firdaus, and R. P. Sidik, “Visualisasi Data Lokasi Rawan Bencana Di Jawa Barat Menggunakan Google Data Studio Visualization Of Disaster-Prone Location Data in West Java Using Google Looker Studio,” Jurnal Ilmiah Intech: Information Technology Journal of UMUS, vol. 5, no. 01, pp. 69–77, 2023.

Dini Nurmalasari and Nurzikriah, “Implementasi business Intelligence dashboard pada data pasien puskesmas kecamatan Rokan,” Jurnal Komputer Terapan, vol. 7, no. 2, pp. 174–183, 2021, [Online]. Available:

N. E. Warestika, D. Sugiarto, and T. Siswanto, “Business Intelligence design for data visualization and drug stock forecasting,” Intelmatics, vol. 1, no. 1, Jan. 2021, doi: 10.25105/itm. v1i1.7407.

Ricky Akbar and Mutia Octaviany, “Perancangan visualisasi dashboard dan clustering dengan menerapkan business intelligence pada dinas DPMPTSP kabupaten Dharmasraya,” JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 7, no. 3, pp. 2460–0741, 2021.

E. H. Saragih, I. Putu, A. Bayupati, G. Agung, A. Putri, and P. Korespondensi, “Pengembangan business intelligene dasbord untuk monitoring aktivitas pariwisata (studi kasus: dinas pariwisata Bali),” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 8, no. 6, pp. 1159–1168, 2021, doi: 10.25126/jtiik.202183755.

N. Ketut et al., “Pengembangan sistem informasi reservasi pada wisata perkemahan dengan memanfaatkan payment gateway system (STUDI KASUS: TEPI BUYAN CAMPFIRE BULELENG),” 2021.

N. Wikamulia and S. M. Isa, “Predictive business intelligence dashboard for food and beverage business,” Bulletin of Electrical Engineering and Informatics, vol. 12, no. 5, pp. 3016–3026, Oct. 2023, doi: 10.11591/eei.v12i5.5162.

Enggar Novianto, “Audit sistem informasi pada aplikasi sistem informasi manajemen kepegawaian (simpeg) menggunakan model framework cobit 4.1,” Jurnal Manajemen Informatika & Sistem Informasi (MISI), vol. 6, no. 1, 2023, doi: 10.36595/misi.v5i2.

Mudakir, Ahmad Turmudizy, and Aswan S. Sunge, “Penerapan data mining untuk klasifikasi peningkatan karyawan menggunakan algoritma k-means,” JINTEKS(Jurnal Informatika Teknologi dan Sains), vol. 5, no. 3, pp. 489–497, 2023.




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