Journal of Software Engineering and Information System (SEIS)
Vol. 3 No. 2 (2023)

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)



Article Info

Publish Date
09 Aug 2023

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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Journal Info

Abbrev

SEIS

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Journal of Software Engineering and Information System (SEIS) is a peer-reviewed journal published twice a year (January and August) by the Department of Information System - Faculty of Computer Science, Universitas Muhammadiyah Riau. The scope of the journal is: Artificial Intelligent Business ...