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      "abstract": "Peningkatan pemrosesan data pribadi pada layanan digital menimbulkan\r\nkebutuhan mendesak terhadap mekanisme penilaian risiko privasi yang lebih terstruktur\r\ndan otomatis. Berbagai platform digital mengumpulkan data sensitif melalui proses\r\nregistrasi hingga interaksi layanan, namun metode penilaian risiko yang ada saat ini masih\r\ndidominasi oleh pendekatan manual yang subjektif dan lebih berfokus pada keamanan\r\ninfrastruktur daripada privasi pengguna. Kondisi ini berdampak pada rendahnya\r\ntransparansi serta lemahnya kemampuan pengendali data dalam mengidentifikasi potensi\r\nancaman privasi secara akurat.\r\nPenelitian ini merancang dan mengembangkan sistem analisis risiko privasi\r\nberbasis web statis dengan menggunakan model Likelihood–Impact dan pendekatan rulebased\r\n\r\nautomation. Sistem bertindak sebagai jembatan antara kompleksitas regulasi\r\ndengan kebutuhan alat self-assessment praktis, menerima parameter teknis berupa jenis\r\ndata pribadi dan aktivitas pemrosesan, kemudian mengolahnya melalui privacy risk\r\nengine berbasis JavaScript yang berjalan sepenuhnya di sisi klien (client-side). Engine\r\nini dirancang berdasarkan prinsip manajemen risiko, Undang-Undang No. 27 Tahun 2022\r\ntentang Perlindungan Data Pribadi (PDP) dan kerangka kerja NIST Cybersecurity\r\nFramework 2.0.\r\nHasil penelitian menunjukkan bahwa sistem mampu menghasilkan klasifikasi\r\nrisiko, peta risiko, evaluasi kepatuhan dan rekomendasi otomatis secara konsisten. Sistem\r\nini bermanfaat bagi pengembang aplikasi, auditor internal, regulator dan organisasi yang\r\nmemerlukan penilaian risiko privasi yang otomatis, kuantitatif, mudah diakses dan\r\nmendukung implementasi cepat tanpa biaya infrastruktur tinggi. Ke depan,\r\npengembangan lanjutan dapat diarahkan pada peningkatan cakupan aturan dan\r\ninteroperabilitas dengan sistem manajemen keamanan informasi lainnya.",
      "eprint_status": "archive",
      "ispublished": "pub",
      "lastmod": "2026-07-01 03:51:32",
      "rev_number": 16,
      "title": "PERANCANGAN DAN IMPLEMENTASI SISTEM\r\nANALISIS RISIKO PRIVASI PADA PLATFORM DIGITAL \r\nMENGGUNAKAN LIKELIHOOD–IMPACT ENGINE\r\nBERBASIS RULE-BASED AUTOMATION"
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