{"id":"W4387217073","doi":"10.59697/jik.v4i2.340","title":"KEAMANAN CITRA DIGITAL DENGAN MEMANFAATKAN PROSES PENERAPAN ALGORITMA DATA ENCRYPTION STANDART (DES) PADA EKTRAKSI PIXEL","year":2020,"lang":"en","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Encryption; Computer science; Byte; Filesystem-level encryption; On-the-fly encryption; 40-bit encryption; Cryptography; Block cipher; 56-bit encryption; Key (lock); Image file formats; Computer security; Computer hardware; Image (mathematics); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163843,0.0005591436,0.0004596905,0.0009215359,0.0007796658,0.002913989,0.0005712787,0.0007789937,0.03799003],"category_scores_gemma":[0.0009352334,0.0002500596,0.0003929967,0.001362763,0.0006240059,0.003202975,0.0008864052,0.001088572,0.01374565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505988,"about_ca_system_score_gemma":0.0006093407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006383169,"about_ca_topic_score_gemma":0.0007044157,"domain_scores_codex":[0.9994891,0.00004972578,0.00003528474,0.0001333339,0.0002441651,0.00004842107],"domain_scores_gemma":[0.9994382,0.0001313899,0.00004516288,0.0001040989,0.0002449124,0.00003613055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007503256,0.0001513129,0.001769405,0.001378617,0.00005007371,0.0008686412,0.0006226184,0.001946598,0.04927683,0.03606989,0.03286209,0.8742536],"study_design_scores_gemma":[0.00005333378,0.0002950858,0.002488798,0.000238433,0.00007264837,0.002676017,0.000539292,0.005039703,0.07301323,0.008538175,0.9069365,0.0001088058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.142911,0.06185486,0.2306411,0.006923409,0.003996295,0.0006155961,0.003266751,0.01037326,0.5394179],"genre_scores_gemma":[0.4238283,0.03955676,0.1824917,0.001735133,0.0006817125,0.0003541864,0.003192737,0.0008541475,0.3473053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03799003,"threshold_uncertainty_score":0.1270893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05226349596000378,"score_gpt":0.2414392238328315,"score_spread":0.1891757278728277,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}