Atina Eka Vebi, . (2024) PEMBUATAN DASHBOARD DATA ANALYTICS DALAM PENGAMBILAN KEPUTUSAN BISNIS: Studi Kasus Penerimaan Mahasiswa Baru di UPN “Veteran” Jakarta. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The process of admitting new students is considered crucial because it involves selecting prospective students based on different criteria for each study program in higher education. Every year, this process is carried out in accordance with the respective restrictions and regulations, including at the National Development University "Veteran" Jakarta. The boundaries and regulations that are formed must continue to be evaluated and updated with the aim of ensuring that prospective students who pass are qualified and can compete with other universities through the new student admissions process. This research aims to create a data analytics dashboard with a machine learning model to provide predictions for students who pass the new student admissions case at UPN "Veteran" Jakarta because of the need for monitoring and predictions in the following year to support the formation of every policy regarding the new student admissions process at UPN Jakarta “Veteran”. This research involved 82017 data taken directly from endpoints belonging to UPN "Veteran" Jakarta. The algorithms tested in this research are Random Forest and Gradient Boosting. It was concluded that the Gradient Boosting algorithm was superior to the Random Forest algorithm, with an evaluation of training data accuracy of 0.8309 (83%) and testing data accuracy of 0.8161 (82%). The difference in accuracy between training data and testing data allows the model to avoid overfitting. Compared with Random Forest with training data accuracy of 0.9751 (98%) and testing data accuracy of 0.7996 (80%) with a difference of 18%. It was concluded that the research would use the Gradient Boosting algorithm.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512119] [Pembimbing 1: Bambang Saras Yulistiawan] [Pembimbing 2: Iin Ernawati] [Penguji 1: Intan Hesti Indriana] [Penguji 2: Novi Trisman Hadi] |
| Uncontrolled Keywords: | New Student Admissions, Dashboard, Data Analytics, Gradient Boosting, Random Forest |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | ATINA EKA VEBI |
| Date Deposited: | 09 Aug 2024 11:47 |
| Last Modified: | 20 Sep 2024 11:47 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31651 |
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