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LAMPIRAN", "format": "text", "rev_number": 2, "mime_type": "application\/pdf", "files": [ { "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1143467", "filename": "Daftar Pustaka dan Lampiran.pdf", "filesize": 264494, "fileid": 1143467, "mime_type": "application\/pdf", "datasetid": "document", "objectid": 323618, "hash": "e62d25e71e3521b91158e85e1ef3eb0e", "hash_type": "MD5", "mtime": "2026-07-23 02:02:58" } ], "eprintid": 32319, "security": "validuser", "placement": 7, "main": "Daftar Pustaka dan Lampiran.pdf", "docid": 323618, "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/323618", "pos": 7 }, { "formatdesc": "SOURCE CODE", "language": "id", "security": "staffonly", "eprintid": 32319, "mime_type": "application\/zip", "files": [ { "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1143469", "filesize": 437258, "filename": "Sourcecode - 21.11.4215.zip", "objectid": 323619, "mime_type": "application\/zip", "datasetid": "document", "mtime": "2026-07-23 02:03:07", "hash": "811d1539c1a6f23902e8c2c368df1d22", "hash_type": "MD5", "fileid": 1143469 } ], "rev_number": 2, "format": "archive", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/323619", "docid": 323619, "main": "Sourcecode - 21.11.4215.zip", "placement": 8, "pos": 8 }, { "pos": 9, "main": "Publikasi.pdf", "placement": 9, "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/323620", "docid": 323620, "rev_number": 2, "format": "text", "eprintid": 32319, "security": "staffonly", "mime_type": "application\/pdf", "files": [ { "filesize": 710376, "filename": "Publikasi.pdf", "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1143471", "mtime": "2026-07-23 02:03:10", "hash_type": "MD5", "hash": "ef467ff1755435f887de1c6a54ad0b9f", "objectid": 323620, "mime_type": "application\/pdf", "datasetid": "document", "fileid": 1143471 } ], "content": "published", "language": "id", "formatdesc": "PUBLIKASI" } ], "eprintid": 32319, "divisions": [ "if" ], "eprint_status": "archive", "corp_creators": [ "Universitas AMIKOM Yogyakarta" ], "creators": [ { "nim": "21.11.4215", "name": { "family": "Putra", "honourific": null, "given": "Deva Prawana", "lineage": null } } ], "subjects": [ "000.000.000A", "000.000.005" ], "institution": "Universitas AMIKOM Yogyakarta", "abstract": "Dalam ekosistem digital yang semakin rentan terhadap ancaman, kemampuan\r\nsistem keamanan untuk membedakan antara aktivitas pengguna yang sah dan upaya\r\nserangan siber menjadi sangat krusial. Penelitian ini mengusulkan implementasi\r\nalgoritma Ensemble Random Forest yang diperkuat dengan teknik optimasi\r\nHyperparameter Tuning berbasis Grid Search untuk membangun sistem deteksi\r\nintrusi jaringan yang handal. Studi ini memanfaatkan dataset Cybersecurity\r\nIntrusion dengan skenario pengujian yang ketat, membagi data menjadi 80% untuk\r\npelatihan dan 20% untuk validasi. Berdasarkan hasil evaluasi komprehensif, model\r\nyang dikembangkan berhasil mencatatkan akurasi global sebesar 89,68%. Indikator\r\nkinerja yang paling signifikan adalah tercapainya nilai Precision sebesar 1,00 pada\r\nkelas intrusi, yang merefleksikan kemampuan model yang sangat selektif dalam\r\nmengisolasi ancaman tanpa menghasilkan alarm palsu (Zero False Positives) yang\r\nsering menjadi kendala dalam operasional keamanan. Namun demikian, nilai\r\nRecall tercatat sebesar 0,77, yang mengindikasikan bahwa model masih\r\nmelewatkan sekitar 23% dari total serangan yang ada (False Negative). Selain itu,\r\nanalisis terhadap fitur dominan mengonfirmasi bahwa frekuensi kegagalan login\r\ndan skor reputasi IP adalah variabel kunci dalam mendeteksi anomali. Dengan\r\ndemikian, penelitian ini menyimpulkan bahwa pendekatan optimasi parameter pada\r\nalgoritma Random Forest mampu menghasilkan mekanisme pertahanan yang tidak\r\nhanya efektif secara statistik, tetapi juga efisien dan stabil untuk diterapkan dalam\r\nmemitigasi risiko serangan siber.", "dir": "disk0\/00\/03\/23\/19", "title": "ANALISIS DATA SERANGAN SIBER BERDASARKAN JENIS DAN TARGET\r\nSERANGAN MENGGUNAKAN ALGORITMA ENSEMBLE RANDOM FOREST", "metadata_visibility": "show", "rev_number": 16, "type": "thesis", "ispublished": "pub", "status_changed": "2026-07-23 02:10:52", "date": "2026-02-25", "department": "Fakultas Ilmu Komputer", "thesis_type": "bachelor", "date_type": "published", "keywords": "Deteksi Intrusi, Random Forest, Grid Search, Keamanan Siber, Zero\r\nFalse Positive, Intrusion Detection, Cybersecurity.", "full_text_status": "restricted", "uri": "http:\/\/eprints.amikom.ac.id\/id\/eprint\/32319" }