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    <title>Anomaly Detection dan Fraud Prevention dalam Sistem Penjaminan Mutu: Identifikasi Deviasi dan Irregularities</title>
    <link>https://qadrtech.id/blog/anomaly-detection-fraud-prevention</link>
    <description>Panduan komprehensif tentang menggunakan algoritma anomaly detection (Isolation Forest, Local Outlier Factor, Autoencoder) untuk mengidentifikasi fraud dan deviasi dalam sistem penjaminan mutu pendidikan tinggi, termasuk use cases, monitoring patterns, alert mechanisms, case studies, dan trade-offs antara false positives dan false negatives.</description>
    <pubDate>Wed, 03 Dec 2025 00:00:00 GMT</pubDate>
    <author>gungunpriatna@qadrlabs.com (Gun Gun Priatna)</author>
    <category>Anomaly Detection</category><category>Fraud Prevention</category><category>Machine Learning</category><category>Academic Integrity</category><category>Penjaminan Mutu</category>
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