The Application of Business Intelligence to Support Data-Driven Decision-Making in Computer Science Research
Keywords:
Business Intelligence, Data-Driven Decision Making, Computer Science Research, Data Analysis, Data WarehousingAbstract
This study aims to analyze the application of Business Intelligence (BI) as a tool to support data-driven decision-making in computer science research, so that the process of data analysis and interpretation can be conducted in a more structured, accurate, and efficient manner. The method used is a quantitative approach with a descriptive-explanatory design involving several stages, namely data collection from various sources, data preprocessing, data warehouse construction, analysis using data mining and OLAP techniques, and presentation of results through an interactive dashboard. The variables examined include data quality, analysis speed, information accuracy, and the effectiveness of visualization in supporting decision-making. The research results indicate that BI implementation enhances data quality through cleaning and integration processes, resulting in more consistent and analysis-ready data. Additionally, the analysis process successfully identifies patterns, trends, and relationships among variables that support objective decision-making. The use of interactive dashboards has also proven to facilitate data comprehension and accelerate real-time decision-making. Overall, the implementation of BI provides significant improvements in terms of efficiency, accuracy, and decision quality compared to conventional approaches, leading to the conclusion that BI is an effective strategy for generating
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[1] Putra, F. P. E., Putra, D. A. M., Firdaus, A., & Hamzah, A. (2023). Analisis Kecepatan Dan Kinerja Jaringan 5G (generasi ke 5) Pada Wilayah Perkotaan. INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics, 8(1), 47. https://doi.org/10.51211/itbi.v8i1.2439
[2] Aini, Q., Dyatmika, S. W., Chakim, M. H. R., Khasanah, M., & Queen, Z. (2025). Integration of Artificial Intelligence in Digital Marketing Strategies Based on Business Data Analytics. ADI Bisnis Digital Interdisiplin Jurnal, 6(1), 12–20. https://doi.org/10.34306/abdi.v6i1.1230
[3] Akan, H., & Civelek, S. (2001). Astragalus aytatchii (Fabaceae), a new species from Anatolia, Turkey. Annales Botanici Fennici, 38(3), 167–170.
[4] Angelina, S. J., Bijaksana, A., Negara, P., & Muhardi, H. (2023). Analisis Pengaruh Penerapan Stopword Removal Pada Performa Klasifikasi Sentimen Tweet Bahasa Indonesia. JUARA (Jurnal Aplikasi Dan Riset Informatika), 02(1), 165–173. https://doi.org/10.26418/juara.v2i1.69680
[5] Angkasa, P., & Nasution, M. I. P. (2025). Penerapan Business Intelligence dalam Pengambilan Keputusan. Jurnal Penelitian Ilmu-Ilmu Sosial, 02(June), 554–558. https://doi.org/10.5281/zenodo.15736249
[6] Armbrust, M., Ghodsi, A., Xin, R., & Zaharia, M. (2021). Cidr2021_Paper17.
[7] Artanto, F. A., Febrianto, M. Y., & Satrio, T. (2022). E-Learning Mata Kuliah Riset Operasi Pada Universitas Muhammadiyah Pekajangan Pekalongan Berbasis Web. Jurnal Surya Informatika, 12(2), 22–27. https://doi.org/10.48144/suryainformatika.v12i2.1367
[8] Bi, M. P. (2022). kutipan Microsoft POWER BI. 4(2), 118–123.
[9] Ceasar Octariadi, B., & kunci, K. (2020). Sosialisasi Tema Riset Artificial Intelligence Bagi Mahasiswa Informatika di Pontianak I N F O A R T I K E L A B S T R A K. Buletin Al-Ribaath, 17, 121–125.
[10] Eka Putra, F. P., Muslim, F., Hasanah, N., Holipah, Paradina, R., & Alim, R. (2024). Analisis Komparasi Protokol Websocket dan MQTT Dalam Proses Push Notification. Jurnal Sistim Informasi Dan Teknologi, 5, 63–72. https://doi.org/10.60083/jsisfotek.v5i4.325
[11] Fadilla, T., & Padli, M. I. (2025). Analisis Kualitas Data dan Dampaknya terhadap Pengambilan Keputusan dalam Organisasi oleh Tessa Fadilla & Muhammad Irwan Padli Nasution. Jurnal Manajemen Kewirausahaan Dan Teknologi (JUMAKET), 2(2), 102–110.
[12] Faisal, A., Handayanna, F., & Purnamasari, I. (2021). Implementation Technology Acceptance Model (Tam) on Acceptance of the Zoom Application in Online Learning. Jurnal Riset Informatika, 3(2), 85–92. https://doi.org/10.34288/jri.v3i2.53
[13] Fauzi, A., Nugroho, A., Monte, A., Ignesia, A., Makruf, M., Andreas, R., & Hasanah, S. (2023). Pemanfaatan Business Intelligence Dalam Pembuatan Strategi dan Pengambilan Keputusan Bisnis. Jurnal Manajemen Dan Bisnis, 2(3), 212–218.
[14] Gul, R., Leong, K., Mubashar, A., Al-Faryan, M. A. S., & Sung, A. (2023). The Empirical Nexus between Data-Driven Decision-Making and Productivity: Evidence from Pakistan’s Banking Sector. Cogent Business and Management, 10(1). https://doi.org/10.1080/23311975.2023.2178290
[15] Gupta, I., Singh, A. K., Lee, C. N., & Buyya, R. (2022). Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions. IEEE Access, 10(May), 71247–71277. https://doi.org/10.1109/ACCESS.2022.3188110
[16] Hakim, M., & Mulyapradana, A. (2020). Pengaruh Penggunaan Media Daring dan Motivasi Belajar Terhadap Kepuasan Mahasiswa Pada Saat Pandemik Covid-19. Widya Cipta: Jurnal Sekretari Dan Manajemen, 4(2), 154–160. https://doi.org/10.31294/widyacipta.v4i2.8853
[17] Handayanto, A., Latifa, K., Saputro, N. D., & Waliansyah, R. R. (2019). Analisis dan Penerapan Algoritma Support Vector Machine (SVM) dalam Data Mining untuk Menunjang Strategi Promosi. JUITA : Jurnal Informatika, 7(2), 71. https://doi.org/10.30595/juita.v7i2.4378
[18] Informatika, T., Kuliah, M., & Operasi, R. (2021). ISSN 2808-7844 Implementasi Penilaian Portofolio untuk Meningkatkan Hasil Belajar Mahasiswa 1 , 2 , 3 Teknik Informatika , Universitas Cokroaminoto Palopo , Jalan Latamacelling 19 Kota Palopo , Indonesia. 1(2), 95–100.
[19] Jourdan, Z., Rainer, R. K., & Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121–131. https://doi.org/10.1080/10580530801941512
[20] Juni, N. (2024). SENTRI : Jurnal Riset Ilmiah UTILIZATION OF BUSINESS INTELLIGENCE IN BUSINESS DECISION. 3(6), 2873–2883. https://ejournal.nusantaraglobal.ac.id/index.php/sentri/article/view/2966
[21] Kalim, U., & Bibi, S. (2023). Understanding data-driven decision making approach in Chinese higher education through the lens of Bakers model. International Journal of Chinese Education, 12(1), 1–14. https://doi.org/10.1177/2212585X231162120
[22] Lyu, G. (2025). Data-driven decision making in patient management: a systematic review. BMC Medical Informatics and Decision Making, 25(1). https://doi.org/10.1186/s12911-025-03072-x
[23] Maheswari, P., Jaya, A., & Tavares, J. M. (2022). Business Intelligence and Analytics from Big Data to Healthcare. Handbook of Intelligent Healthcare Analytics: Knowledge Engineering with Big Data Analytics, 36(4), 115–145. https://doi.org/10.1002/9781119792550.ch6
[24] Manihuruk, D. M., Sabilillah, H., & Sutabri, T. (2025). Big Data Analytics untuk Meningkatkan Pengambilan Keputusan di Industri. Jurnal Pendidikan Tambusai, 9, 3223–3227.
[25] Muhammad Reza Romahdoni, & M. Azka Kesuma Wardana. (2025). Penerapan Business Intelligence Terhadap Strategi Pengembangan Produk Unggul Pada UMKM Ecoprint Menggunakan Algoritma Apriori. Jurnal Informatika, 24(2), 94–107. https://doi.org/10.30873/ji.v24i2.607
[26] Novianto, D. D., Saptomo, A. B., & Cahyo, W. N. (2025). Implementasi Business Intelligence (BI) di PT. X dalam Membuat Keputusan Penjualan Properti dengan Metode Online Analytical Processing (OLAP). Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 16(1), 1–10. https://doi.org/10.24176/simet.v16i1.13988
[27] Park, J., Fables, W., Parker, K. R., & Nitse, P. S. (2010). The Role of Culture in Business Intelligence. International Journal of Business Intelligence Research, 1(3), 1–14. https://doi.org/10.4018/jbir.2010070101
[28] Putra, F. P. E., Irfan, Moh., Aziz, M., & Saputra, R. N. (2025). Wireless Network Design at Pamekasan Regency Public Library. Brilliance: Research of Artificial Intelligence, 5(1), 144–150. https://doi.org/10.47709/brilliance.v5i1.5876
[29] Putra, F. P. E., Mu’minin, F., Nuraini, A., Barokah, S. N. R., & Khairurrozi, K. (2025). Designing an Information System for Student Admissions at SMAN 1 Pademawu Using the Waterfall Method. Brilliance: Research of Artificial Intelligence, 5(1), 582–591. https://doi.org/10.47709/brilliance.v5i1.6508
[30] Agus, F., Putra, G. M., Kamil, Z. A., Arifin, I., & Gifari, O. I. (2022). Peningkatan Kemampuan Analisis Statistik Kuantitatif Pada Riset Eksperimen Dengan Metode Workshop. PLAKAT : Jurnal Pelayanan Kepada Masyarakat, 4(2), 243. https://doi.org/10.30872/plakat.v4i2.8954
[31] Putra, F. P. E., Ramadhani, N., Fauzan, F., & Mursidi, Moh. (2024). Service Quality Analysis of RFID-Based Smart Door Lock in Front One Azana Style Hotel Area. Brilliance: Research of Artificial Intelligence, 4(1), 372–381. https://doi.org/10.47709/brilliance.v4i1.4292
[32] Putra, F. P. E., & Saadah, N. (2023). Interaktif dan Personalisasi Peningkatan Pembelajaran IoT di Sekolah. Jurnal Sistim Informasi Dan Teknologi, 5(2), 175–181. https://doi.org/10.37034/jsisfotek.v5i1.236
[33] Putra, F. P. E., Syirofi, S., Wahid, D., & Syam, Abd. M. (2025). Security Analysis And Data Recovery On Large-Scale Computer Networks. Brilliance: Research of Artificial Intelligence, 5(1), 384–390. https://doi.org/10.47709/brilliance.v5i1.6276
[34] Putra, F. P. E., Ubaidi, U., Aziz, M., Irfan, Moh., & Alim, R. (2024). Improving Network Service Quality in parts of Sampang City: QoS Evaluation and User Perception of QoE. Brilliance: Research of Artificial Intelligence, 4(1), 408–412. https://doi.org/10.47709/brilliance.v4i1.4311
[35] Putra, F. P. E., Ubaidi, U., Huda, M. A., Hasbullah, H., & Rohman, A. (2024). Computer Network Management Optimization Through Big Data Analysis Using Time Series Analysis Method. Brilliance: Research of Artificial Intelligence, 4(1), 434–442. https://doi.org/10.47709/brilliance.v4i1.4373
[36] Putra, F. P. E., Zulfikri, A., Rohman, A., & Alim, R. (2025). Analysis Comparative of Performance Optimization Techniques for PHP Framework Testing: Laravel, CodeIgniter, Symfony. Brilliance: Research of Artificial Intelligence, 5(1), 242–248. https://doi.org/10.47709/brilliance.v5i1.5989
[37] Ramaddan, B. G. (2025). Peran Data Analytics Dalam Pengambilan Keputusan Strategis Di Era Digital. Jurnal Ilmiah Penelitian Mahasiswa, 3(3), 749–755. https://doi.org/10.61722/jipm.v3i3.1194
[38] Reyhan, M., Ahmad, D. R., Ramadhan, N. A., Hidayat N, R., & Kusumasari, I. R. (2024). Penggunaan Data Analisis dan Big Data dalam Strategi Pengambilan Keputusan Keuangan. Jurnal Akuntansi, Manajemen, Dan Perencanaan Kebijakan, 2(2), 9. https://doi.org/10.47134/jampk.v2i2.540
[39] S. Dhivya devi, A. V. B. G. L., & Usman AK, S. B. S. S. S. (2024). Data-Driven Decision-Making: Leveraging Analytics for Performance Improvement. Journal of Informatics Education and Research, 4(3), 168–179. https://doi.org/10.52783/jier.v4i3.1298
[40] Shofia, N. (2019). Analisis Representasi Matematis Mahasiswa Teknik Informatika Dalam Menyelesaikan Soal Riset Operasi. 6(2), 136–141. http://ojs.unpkediri.ac.id/index.php/efektor-ehttps://doi.org/10.29407/e.v6i2.13234://creativecommons.org/licenses/by-sa/4.0/
[41] Siahaan, S. B., Simanjuntak, W. A., Mesakh, J., Silalahi, M., & Napitupulu, M. A. (2025). Strategic Management Accounting and Digital Transformation: The Role of Big Data Analytics in Decision Making. Jurnal Ilmiah Accusi, 7(2), 521–544. https://doi.org/10.36985/vsskcg83
[42] Somantri, O., & Afriliana, I. (2022). Pelatihan Peningkatan Pengetahuan Potensi Riset Bidang Teknik Komputer Dan Informatika. SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat, 2(2), 129. https://doi.org/10.35329/sipissangngi.v2i2.2863
[43] Subroto, V. K., & Endaryati, E. (2021). BUSINESS INTELLIGENCE DAN KESUKSESAN BISNIS di ERA DIGITAL. Dinamika: Jurnal Manajemen Sosial Ekonomi, 1(2), 41–47. https://doi.org/10.51903/dinamika.v1i2.45
[44] Sulistyoningsih, W. ., Wiajaya, I. N. Y. A., & Alam, H. S. (2023). Penerapan Model Business Intelligence Pada Perusahaan Retail XLT Untuk Meningkatkan Strategi Pemasaran. Jurnal Ilmiah Teknologi Informasi Asia, 17(1), 33–44. https://doi.org/10.32815/jitika.v17i1.893
[45] Tafdila, K., & Anra, H. (2022). tafdila_juara_jurnal-2-PB. 01(1), 107–112. https://doi.org/10.26418/juara.v1i1.53236
[46] Tribuana, D., Dewi Haryanti Agustan, A., Hidayat, Halimah, E., Dianah, K., & Isiswanty. (2025). Membangun Taxonomy Riset Big Data Analytics dan Business Intelligence: Systematic Literature Review dalam Konteks Manajemen Informatika. Jurnal Teknologi Dan Bisnis Cerdas, 1(2), 140–154. https://doi.org/10.64476/jtbc.v1i2.12
[47] Wati, W., & Nasution, M. I. P. (2023). Pengaruh Analisis Big Data Terhadap Pengambilan Keputusan Strategis. 2(2), 494–508. https://journal.dinamikapublika.id/index.php/aira
[48] Watson, H. J., & Wixom, B. H. (n.d.). Intelligence.
[49] Yang, P., Xiong, N., & Ren, J. (2020). Data Security and Privacy Protection for Cloud Storage: A Survey. IEEE Access, 8, 131723–131740. https://doi.org/10.1109/ACCESS.2020.3009876
[50] Yuliana, D., Seituni, S., . S., & Heny, U. (2020). Implementasi Collaborative Learning Dalam Meningkatkan Pemahaman Mahasiswa Pada Mata Kuliah Riset Operasi Informatika Program Studi Pendidikan Teknologi Informasi Stkip Pgri Situbondo. Jurnal IKA PGSD (Ikatan Alumni PGSD) UNARS, 8(2), 281. https://doi.org/10.36841/pgsdunars.v8i2.828
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