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

Fitri, Damaryanti and Aji, Supriyanto Optimization of the SRIKANDI E-Government System Using XGBoost-Based Classification and One-Class SVM Anomaly DetectionType. Information Technology International Journal.

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Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty / Institution:	Fakultas Teknologi Informasi
Depositing User:	Jati Sasongko Wibowo
Date Deposited:	05 Oct 2025 13:39
Last Modified:	05 Oct 2025 13:39
URI:	https://eprints.unisbank.ac.id/id/eprint/10301

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