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Submitted
July 15, 2025
Accepted
December 29, 2025
Published
December 29, 2025
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Abstract

The global landscape is undergoing a digital transformation marked by the Fourth Industrial Revolution and the move toward society 5.0. Companies are expected to manage data efficiently. CV Bali Treasures, a percussion instrument manufacturer, still records wood-based production data manually using Microsoft Excel, complicating trend analysis and decision-making. This study implements a Business Intelligence (BI) dashboard using Microsoft Power BI to improve raw material inventory management. The methodology follows the BI Roadmap using data from the Processed Wood Inventory Mutation Report (LMHHKO) from March 2019 to September 2024. System evaluation was conducted through User Acceptance Testing (UAT) with the Black Box Testing method involving five users. The results show the dashboard effectively visualizes inventory data, supports data historical analysis, and speeds up decision-making. Users confirmed the dashboard met their needs and was easy to use. This BI implementation is expected to support digital transformation and enhance the company's efficiency and competitiveness.

Keywords

Business Intelligence Visualisasi Dashboard Manajemen Persediaan Business Intelligence Dashboard Visualization Inventory Management

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Copyright (c) 2025 Callysta Athalia Anak Agung Istri, I Made Dendi Maysanjaya, Gede Surya Mahendra

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How to Cite
Anak Agung Istri, C. A., Maysanjaya, I. M. D., & Mahendra, G. S. (2025). Designing a Business Intelligence Based Dashboard for Inventory Management Optimization at CV Bali Treasures. Teknosia, 19(02). Retrieved from https://ejournal.unib.ac.id/teknosia/article/view/43478
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References

  1. Moss, L. T., & Atre, S. (2003). Business intelligence roadmap: the complete project lifecycle for decision-support applications. Addison-Wesley Professional.
  2. Anhar Mahebu, M., Sefina Samosir, R., Informasi, S., Ilmu Komputer dan Desain, F., & Teknologi dan Bisnis Kalbis Jalan Pulomas Selatan Kav, I. (2023). Visualisasi Data Penjualan CV. Waskat Karya Metal Menggunakan Pendekatan Business intelligence. In Jurnal Sains dan Teknologi (Vol. 10, Issue 02).
  3. Cahyo Nugroho, J., Yudi, N., Wijaya, A., Agung, A., & Redioka, N. (2021). Penerapan Aplikasi Business Intelligence pada Manajemen Report Guna Menunjang Pengambilan Keputusan. Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 10(2), 335–346.
  4. Ceng Giap, Y. (2020). Penerapan Business Intelligence pada CV. Tanggamas Chemichal Dengan Metode OLAP. JURNAL ALGOR, 2(1). https://jurnal.buddhidharma.ac.id/index.php/algor/index
  5. Fauzi, A., Aji Nugroho, A., Kevin Monte, A., Angelia Ignesia, A., Nafis Makruf, M., Andreas, R., & Rahmah Nur Hasanah, S. (2023). Pemanfaatan Business Intelligence Dalam Pembuatan Strategi dan Pengambilan Keputusan Bisnis. Jurnal Manajemen Dan Bisnis, 2(3), 212–218.
  6. Febiyanti Widyantari, Ghozali Khakim, & Indrawanti Annisaa Sri. (2022). Rancang Bangun Aplikasi Dashboard Penjualan,Logistik dan Tenaga Kerja di PT.XYZ. Departemen Teknik Informatika, 11(2).
  7. Fernando Oroh, F., Eko Indrajit, R., Dazki, E., & Hindarto, D. (2022). Kajian Enterprise Resource Planning pada Industri Manufaktur Pengolahan Bambu menggunakan Arsitektur Enterprise. Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 11(2), 335–346.
  8. Kurniawan Hidayat, M. (2023). Perancangan Dashboard Untuk Visualisasi Data Jumlah Penumpang Transjakarta. In Sains Teknik Elektro (Vol. 4, Issue 1). http://jurnal.bsi.ac.id/index.php/insantek32
  9. Nurdin, A. A., Salmi, G. N., Sentosa, K., Wijayanti, A. R., & Prasetya, A. (2022). Utilization of Business Intelligence in Sales Information Systems. Journal of Information System Exploration and Research, 1(1), 39–48. https://doi.org/10.52465/joiser.v1i1.101
  10. Purnama Annas, Wijaya I Nyoman Yudi Anggara, & Sudiatmika Ida Bagus Kresna. (2022). Penerapan Business Inteligence Untuk Menganalisis Data PenjualanMenggunakan Power BI. Jurnal Informatika Teknologi Dan Sains, 4(2), 118–123.
  11. Putra, R. F. N. (2022). Pengembangan Business Intelligence Pengelolaan Properti di PT. XYZ (Vol. 4).
  12. Rahman, E. (2024). Aplikasi Business Intelligence Pada Sistem Penjualan CV. Muda Jeans.
  13. Rio Aryanto, D., Hidayah, Q. H., & Sekti, B. A. (2024). Sistem dashboard untuk visualisasi data pendapatan dan pengeluaran berbasis web PT. XYZ.
  14. Sulistiani, H., Alita, D., & Dellia, P. (2020). Pemanfaatan Analisis Biaya dan Manfaat dalam Perhitungan Kelayakan Investasi Teknologi Informasi. In Jurnal Ilmiah Edutic (Vol. 6, Issue 2).
  15. Tasriq, T., & Kunang, S. O. (2023). Penerapan Metode Double Exponential Smoothing dan Visualisasi Dashboard untuk Menganalisa Data Transaksi Penjualan pada Kemitraan PT Natural Nusantara (Studi Kasus : Stockis BG.3005 Muara Enim). JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 8(1), 254–265. https://doi.org/10.29100/jipi.v8i1.3441
  16. Yadi, I. Z., & Fitriasnyah, A. R. (2023). Pemanfaatan Business Intelligence untuk Visualisasi Data Industri Kecil Menengah Sektor Pangan menggunakan Tableau (Studi Kasus Dinas Perindustrian Kota Palembang). Jurnal Ilmiah Komputer, 19(2), 962–972.