PEMBUATAN DASHBOARD DATA ANALYTICS DALAM PENGAMBILAN KEPUTUSAN BISNIS BERDASARKAN DATA KELULUSAN MAHASISWA: Studi Kasus pada UPN “Veteran” Jakarta

Amanda Nurhidayanti, . (2024) PEMBUATAN DASHBOARD DATA ANALYTICS DALAM PENGAMBILAN KEPUTUSAN BISNIS BERDASARKAN DATA KELULUSAN MAHASISWA: Studi Kasus pada UPN “Veteran” Jakarta. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Student graduation rate is an important indicator to measure the effectiveness and quality of education in higher education. A high student graduation rate reflects academic achievement as well as the effectiveness and efficiency of management. Each university has a graduation target that must be achieved each year. Based on an interview with the LP3M (Learning Development and Quality Assurance Institute), it is stated that the graduation target of UPN "Veteran" Jakarta is 100% (one hundred percent). However, there are certain factors that make the graduation tolerance limit to 85% (eighty-five percent). The purpose of this research is to create an analytics dashboard that will display data visualization of the prediction results that have been carried out based on student graduation data for the last 5 (five) years. The data used for model training and testing will be divided based on education programs with different amounts of data and taken from UPN "Veteran" Jakarta's API endpoint. The machine learning algorithm models used in this research are Naïve Bayes, C4.5 Algorithm, and Logistic Regression. The results obtained in the form of a website-based analytics dashboard and evaluation results show that the Naïve Bayes model achieves 100% accuracy in some education programs, while the C4.5 Algorithm and Logistic Regression achieve 100% accuracy in all education programs so that each education program will use a different algorithm model based on the results of performance tests and prediction.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2010512135] [Pembimbing 1: Bambang Saras Yulistiawan] [Pembimbing 2: Catur Nugrahaeni Puspita Dewi] [Penguji 1: Widya Cholil] [Penguji 2: Iin Ernawati]
Uncontrolled Keywords: Student Graduation, Data Analytics, Naïve Bayes, C4.5 Algorithm, Logistic Regression
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: AMANDA NURHIDAYANTI
Date Deposited: 29 Aug 2024 04:36
Last Modified: 29 Aug 2024 04:36
URI: http://repository.upnvj.ac.id/id/eprint/31559

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