{"id":"W3019986891","doi":"10.59697/jtik.v1i1.680","title":"PERANCANGAN APLIKASI KEAMANAN PESAN MENGGUNAKAN ALGORITMA ELGAMAL DENGAN MEMANFAATKAN ALGORITMA ONE TIME PAD SEBAGAI PEMBANGKIT KUNCI","year":2017,"lang":"id","type":"article","venue":"JTIK (Jurnal Teknik Informatika Kaputama)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","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":[0.0008338336,0.0009410008,0.000814707,0.0007005846,0.0009113199,0.003141032,0.0009005809,0.001076202,0.01570551],"category_scores_gemma":[0.002405551,0.0003255047,0.0006258484,0.001025787,0.0006683923,0.003624886,0.001320045,0.001375544,0.008107431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009707873,"about_ca_system_score_gemma":0.001293747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116531,"about_ca_topic_score_gemma":0.002088361,"domain_scores_codex":[0.9988199,0.0002352,0.0001237553,0.000244891,0.0004419175,0.0001344795],"domain_scores_gemma":[0.9989321,0.0002573704,0.00006416374,0.0003691467,0.0003372164,0.00003999214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009454663,0.000287925,0.002431585,0.001071409,0.0001327049,0.0005999441,0.001214236,0.00993535,0.1696961,0.03038293,0.02309394,0.7602084],"study_design_scores_gemma":[0.000194037,0.0009124114,0.00532198,0.00036644,0.0003321057,0.002797472,0.002331796,0.2036844,0.306532,0.0349361,0.4423736,0.0002178152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09629995,0.006827505,0.7929047,0.002959996,0.001098574,0.00106113,0.001110748,0.01101688,0.08672066],"genre_scores_gemma":[0.3991547,0.004696019,0.4635552,0.001045701,0.0003103717,0.0006580519,0.001440889,0.0009645415,0.1281746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570551,"threshold_uncertainty_score":0.05254012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986888641202143,"score_gpt":0.2387230929235009,"score_spread":0.2188542065114795,"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."}}