Optimization of the SRIKANDI E-Government System Using XGBoost-Based Classification and One-Class SVM Anomaly Detection Type_korespondensi

Fitri, Damaryanti and Aji, Supriyanto Optimization of the SRIKANDI E-Government System Using XGBoost-Based Classification and One-Class SVM Anomaly Detection Type_korespondensi. Master of Information Technology UPN.

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Item Type:	Other
Subjects:	A General Works > AI Indexes (General)
Faculty / Institution:	Fakultas Teknologi Informasi
Depositing User:	Atik Rakhmawati
Date Deposited:	06 Oct 2025 14:28
Last Modified:	06 Oct 2025 14:28
URI:	https://eprints.unisbank.ac.id/id/eprint/10309

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