IMPLEMENTASI BUSINESS INTELLIGENCE MENGGUNAKAN TABLEAU UNTUK VISUALISASI PREDIKSI KELULUSAN MAHASISWA

  • Trihana Santhi Universitas Pendidikan Ganesha
  • Aprilia Monica Sari Universitas Pendidikan Ganesha
  • Dewa Ketut Alit Maha Putra Universitas Pendidikan Ganesha
  • Gede Surya Mahendra Universitas Pendidikan Ganesha
  • Made Putri Ariasih Universitas Pendidikan Ganesha
Keywords: Business Intelligence, Tableau, Visualization, Graduation, Student

Abstract

Prediction of student graduation plays an important role in college programs to help students stay high-achieving and graduate on time, as well as produce the best graduates. Information about the number of students graduating in college plays a significant role in decision-making through visual representation of data. This article aims to describe data on student graduation predictions in college through visual representation using Business Intelligence and Tableau tools with data from www.kaggle.com. The results of this research are presented in the form of a dashboard that includes GPA, academic achievement, organizational involvement, and gender in college, which can be used to support decision-making. Visualizing data through analysis using an interactive Tableau dashboard is expected to make information more engaging and easily understandable. Predicted students who graduate on time have adequate GPA, participate in campus activities, and are mostly male.

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References

Acharya, S., & Chellappan, S. (2016). Pro Tableau: A Step-by-Step Guide (1st ed.). USA: Apress.

Afikah, P., Affandi, I. R., & Hasan, F. N. (2022). Implementasi Business Intelligence Untuk Menganalisis Data Kasus Virus Corona di Indonesia Menggunakan Platform Tableau. Pseudocode, 9(1), 25–32. https://doi.org/10.33369/pseudocode.9.1.25-32

Agmallia, R., Sari, M. U., & Rahmadhani, A. R. (2021). Penerapan Sistem Informasi Akademik Mahasiswa (SIAM) Terhadap Mahasiswa Universitas Muhammadiyah Riau. Jurnal Bisnis Darmajaya, 7(1), 23–38. https://doi.org/10.30873/jbd.v7i1.2676

Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0. Sustainability, 12(7), 2632. https://doi.org/10.3390/su12072632

Angreini, S., & Supratman, E. (2021). Visualisasi Data Lokasi Rawan Bencana Di Provinsi Sumatera Selatan Menggunakan Tableau. Jurnal Nasional Ilmu Komputer, 2(2), 135–147. https://doi.org/10.47747/jurnalnik.v2i2.528

Galahartlambang, Y., Khotiah, T., & Jumain. (2021). Visualisasi Data Dari Dataset COVID-19 Menggunakan Pemrograman Python. Jurnal Ilmiah Intech : Information Technology Journal of UMUS, 3(1), 58–66. https://doi.org/10.46772/intech.v3i01.417

Hendra Utama, Safuan, & Musa Alkhadimi Alhabsy. (2022). Implementasi Aplikasi Penerimaan Mahasiswai Baru Berbasis Android dengan Fitur Push Notifikasi Program Pascasarjana Universitas Jayabaya. Jurnal Cakrawala Ilmiah, 1(10), 2387–2396.

Karsana, I. W. W., & Mahendra, G. S. (2019). Rancang Bangun Sistem Informasi Nilai Akademik Berbasis SMS Gateway pada Universitas Dhyana Pura. Jurnal Sistem Informasi, 8(1), 114–125. https://doi.org/10.32520/stmsi.v8i1.430

Mahendra, G. S., Tampubolon, L. P. D., Herlinah, Arni, S., Kharisma, L. P. I., Resmi, M. G., … Edi. (2023). Sistem Pendukung Keputusan: Teori dan Penerapannya dalam Berbagai Metode. Jambi: PT. Sonpedia Publishing Indonesia.

Mahendra, G. S., Wardoyo, R., Pasrun, Y. P., Sudipa, I. G. I., Khairunnisa, Putra, I. N. T. A., … Wahyudi, F. (2023). Implementasi Sistem Pendukung Keputusan: Teori & Studi Kasus. Bali: PT. Sonpedia Publishing Indonesia.

Marvaro, E., & Sefina Samosir, R. (2021). Penerapan Business Intelligence dan Visualisasi Informasi di CV. Mitra Makmur Dengan Menggunakan Dashboard Tableau. Jurnal Sains dan Teknologi, 8(2), 37–46. https://doi.org/10.53008/kalbiscientia.v8i2.197

Moss, L. T., & Atre, S. (2003). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-support Applications. Addison-Wesley. Retrieved from https://books.google.co.id/books?id=HSeE7rOXKsUC

Prahendratno, A., Mahendra, G. S., Zebua, R. S. Y., Tahir, R., Sepriano, Handika, I. P. S., … Efitra. (2023). Business Intelligent: Pengantar Business Intelligence dalam Bisnis. Jambi: PT. Sonpedia Publishing Indonesia.

Rusydi, A., & Hasan, F. N. (2023). Implementasi business intelligence untuk visualisasi kekuatan sinyal internet di Indonesia menggunakan platform tableau. TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika, 10(1), 132–141. https://doi.org/10.37373/tekno.v10i1.378

Saepuloh, D. (2020). Visualisasi Data Covid 19 Provinsi DKI Menggunakan Tableau. Jurnal Riset Jakarta, 13(2). https://doi.org/10.37439/jurnaldrd.v13i2.37

Wahyuni, D., & Winarso, D. (2021). Penerapan Metode Rule Based Reasoning dalam Sistem Pakar Deteksi Dini Gangguan Kesehatan Mental pada Mahasiswa. Journal of Software Engineering and Information Systems, 2(2), 1–10. https://doi.org/10.37859/seis.v2i2.3991

Published
2023-08-09
How to Cite
Santhi, T., Sari, A. M., Putra, D. K. A. M., Mahendra, G. S., & Ariasih, M. P. (2023). IMPLEMENTASI BUSINESS INTELLIGENCE MENGGUNAKAN TABLEAU UNTUK VISUALISASI PREDIKSI KELULUSAN MAHASISWA. Journal of Software Engineering and Information System (SEIS), 3(2), 51-58. https://doi.org/10.37859/seis.v3i2.5436
Section
Articles
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